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. 2020 Dec 2;9(12):1787. doi: 10.3390/foods9121787

Comprehensive 2D Gas Chromatography with TOF-MS Detection Confirms the Matchless Discriminatory Power of Monoterpenes and Provides In-Depth Volatile Profile Information for Highly Efficient White Wine Varietal Differentiation

Igor Lukić 1,2,*, Silvia Carlin 3, Urska Vrhovsek 3
PMCID: PMC7759857  PMID: 33276447

Abstract

To differentiate white wines from Croatian indigenous varieties, volatile aroma compounds were isolated by headspace solid-phase microextraction (HS-SPME) and analyzed by comprehensive two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC-TOF-MS) and conventional one-dimensional GC-MS. The data obtained were subjected to uni- and multivariate statistical analysis. The extra separation ability of the GC×GC second dimension provided additional in-depth volatile profile information, with more than 1000 compounds detected, while 350 were identified or tentatively identified in total by both techniques, which allowed highly efficient differentiation. A hundred and sixty one compounds in total were significantly different across monovarietal wines. Monoterpenic compounds, especially α-terpineol, followed by limonene and linalool, emerged as the most powerful differentiators, although particular compounds from other chemical classes were also shown to have notable discriminating ability. In general, Škrlet wine was the most abundant in monoterpenes, Malvazija istarska was dominant in terms of fermentation esters concentration, Pošip contained the highest levels of particular C13-norisoprenoids, benzenoids, acetates, and sulfur containing compounds, Kraljevina was characterized by the highest concentration of a tentatively identified terpene γ-dehydro-ar-himachalene, while Maraština wine did not have specific unambiguous markers. The presented approach could be practically applied to improve defining, understanding, managing, and marketing varietal typicity of monovarietal wines.

Keywords: two-dimensional gas chromatography, one-dimensional, wine, volatile aroma compounds, multivariate analysis, cultivar, Croatia

1. Introduction

Aroma is among the most important attributes that drive the perception of wine sensory quality and varietal typicity by consumers. It results from the occurrence of many diverse odoriferous volatile compounds of different origin. Primary or varietal aroma compounds originate from grapes, secondary or fermentation aroma compounds are produced in fermentation, while tertiary aromas are formed during maturation [1,2,3]. The three groups mentioned are not so clearly divided: most of the precursors of volatile aroma compounds originate from grapes and are in one way or another affected by fermentation and/or aging [4]. The final wine aroma profile is a result of complex interactive effects between many sources of variability, such as variety [5], geographical position characterized by specific agroecological conditions [6,7], viticultural practices [8], harvest date [9], harvest year [10,11], grape processing, and fermentation parameters [12,13], etc.

Varietal characterization (description) and differentiation (contradistinction from other varieties) is an ever-important field of wine research. Many studies have aimed to identify volatile compounds characteristic for various grape varieties, since they are crucial for the typical varietal attributes of their wines. The knowledge on the volatile aroma compound composition of monovarietal wines is important since it may enable producers to better cope with the phenomena encountered in production and to manage vinification with greater efficiency, all in order to produce high quality wines of accentuated varietal typicity. It may enable detailed and precise description of the aroma of monovarietal wines, which could be used in their marketing, especially towards informed consumers interested in wines of high quality with marked diversity and identity. In addition to often being linked to a given geographical provenance with a corresponding protected designation of origin (PDO), particular monovarietal wines are especially appreciated and demanded because of their typical sensory properties. Such wines often fall within a higher price range and are a target of counterfeiting by mislabeling their varietal origin. Therefore, control in terms of varietal origin authentication is needed: the general strategy used by many research groups includes the (semi)quantification of a large number of volatile compounds in large sets of wines and use of the generated data for the production of multivariate statistical models able to classify wines, as well as to predict and confirm their varietal origin [5].

The analysis of volatile aroma compounds in wine varietal characterization and differentiation studies is commonly performed by conventional one-dimensional gas chromatography mass spectrometry (GC-MS) [14,15,16,17,18,19]. Although the information obtained by this approach is often sufficient to obtain more or less efficient varietal differentiation, a large amount of information is lost due to frequent co-elutions, even when using long GC run times on high-efficiency capillary columns with selective stationary phases and programmed oven temperature conditions [20,21]. In the last few decades, comprehensive two-dimensional gas chromatography-mass spectrometry (2D-GC-MS or GC×GC-MS) stood out as a highly potent technique for in-depth characterization of complex samples [22], where the number of compounds of interest is large and many are present at trace levels, as in wine. This technique utilizes two GC columns of different stationary phases serially connected by a modulator, where the compounds co-eluting in the first column are in most cases separated in the second. GC×GC-MS is therefore characterized by higher efficiency and sensitivity, since the additional separation by a second stationary phase produces clearer mass spectra and much less chromatographic peaks remain unannotated. In this way, GC×GC-MS allows detection and identification of a much larger number of volatile compounds compared to conventional GC-MS [23].

Regardless of the existing great potential, only a few studies have utilized GC×GC to investigate wine volatile aroma profiles, while studies which used GC×GC for varietal characterization and differentiation were extremely rare. Several authors reported more or less detailed GC×GC volatile aroma profiles of particular monovarietal wines, such as Cabernet Sauvignon [24], Sauvignon Blanc [25], Shiraz [9,26] or Syrah [12], Pinotage [21], Chardonnay [27], and Verdicchio [28], but none of them directly compared them to or differentiated them from other monovarietal wines of similar typology. In this way, despite detailed profiles determined in some cases, it still remained unknown which compounds and in which amounts are typical for a given variety and whether they could differentiate it from other monovarietal wines. The only two studies which utilized GC×GC and succeeded in differentiating several monovarietal wines did not report actual concentrations of all the identified volatile compounds [20,29].

The aim of this study was to utilize the potential of two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC-TOF-MS) technique, in combination with headspace solid-phase microextraction (HS-SPME) and multivariate statistical tools, as a more efficient approach to characterize and differentiate monovarietal white wines based on their volatile aroma compound composition. Profiling by GC×GC was combined with conventional GC-MS analysis of major wine volatile compounds to obtain more comprehensive aroma profiles. Special attention was devoted to terpenes, often highlighted as key varietal markers in wine. The approach was applied to characterize and differentiate Croatian wines made from indigenous grape varieties, with each variety represented by a rather heterogeneous group of wines with respect to geographical microlocation and agroecological conditions, viticultural practices, harvest date, and grape processing and wine production parameters. It was expected that GC×GC-TOF-MS would be extremely effective in providing novel in-depth information for efficient white wine varietal differentiation.

2. Materials and Methods

2.1. Wine Samples

A total of 32 wines made from Croatian indigenous white grape varieties (Vitis vinifera L.) Malvazija istarska (MI, 8 samples) Pošip (PO, 7), Maraština (MA, 7), Kraljevina (KR, 7), and Škrlet (SK, 3) were donated by producers from Croatia (EU), more specifically Istria (MI) and Dalmatia (PO and MA) as the coastal regions and continental Croatia (KR and SK). Wines from the same variety were donated by different producers. The selection was representative for Croatian wine production and comprised the majority of the most important Croatian indigenous varieties. Only young wines from harvest 2015 were collected, labelled with a protected designation of origin (PDO) and with a traditional term “Quality or Top quality” wine. Wines were of the same typology and produced by standard white winemaking technology, which included grape harvest at technological maturity, destemming, crushing and mashing of the grapes, no or short pre-fermentative skin-contact (up to 48 h), use of selected commercial yeasts, fermentation at relatively low temperatures (up to 18 °C), and other standard procedures (sulfiting, racking, fining, and stabilization, etc.). Wines were not in contact with wood. During the period from harvest and vinification in September 2015 until the collection and analyses in April and May 2016 the wines were stored in stainless steel tanks and 0.75 L glass bottles with cork stoppers in wine cellars of the producers. The wine samples were selected from a larger set as typical representatives of a given variety by the panel for wine sensory analysis of the Institute of Agriculture and Tourism in Poreč (Croatia), which consisted of highly trained and experienced tasters. Standard physico-chemical parameters of the collected wines determined by OIV methods are reported in Table S1.

2.2. Standards, Chemicals, and Consumables

Chemical standards of volatile aroma compounds were procured from AccuStandard Inc. (New Haven, CT, USA), Fluka (Buchs, Switzerland), Honeywell International Inc. (Morris Plains, NJ, USA), Merck (Darmstadt, Germany), and Sigma-Aldrich (Sigma-Aldrich, St. Louis, MO, USA). A stock solution of major volatile compounds commonly present in wine was prepared in methanol, while standard solutions were prepared in model wine (13 vol.% of ethanol, pH 3.3). Ammonium sulfate and sodium chloride were purchased from Kemika d.d (Zagreb, Croatia).

Divinylbenzene/carboxen/polydimethylsiloxane (DVB-CAR-PDMS, StableFlex, 50/30 μm, 1 cm) SPME fiber used for GC-MS analysis was procured from Supelco, Sigma Aldrich (Bellafonte, PA, USA) and DVB-CAR-PDMS SPME fiber (StableFlex, 50/30 μm, 2 cm) used for GC×GC-TOF-MS analysis was procured from Supelco, Sigma Aldrich (Milan, Italy).

2.3. Analysis of Volatile Aroma Compounds by Conventional One-Dimensional GC-MS

Volatile aroma compounds for GC-MS analysis were isolated by headspace solid-phase microextraction (HS-SPME) according to the modified method proposed by Bubola et al. [30]. Four milliliters of a solution obtained by diluting wine four times with deionized water were pipetted in a 10 mL glass vial. Ammonium sulfate (1 g) and 50 μL of internal standards solution (2-octanol (0.84 mg/L), 1-nonanol (0.82 mg/L), and heptanoic acid (2.57 mg/L)) were added. After 15 min preconditioning at 40 °C, microextraction using a DVB-CAR-PDMS SPME fiber took place for 40 min at 40 °C with stirring (800 rpm). Volatile compounds were desorbed after the insertion of the fiber for 10 min into a GC/MS injector heated at 248 °C, with the first 3 min in splitless mode. Volatile aroma compounds were identified and quantified using a Varian 3900 gas chromatograph (GC) connected to a Varian Saturn 2100T mass spectrometer with an ion trap analyzer (Varian Inc., Harbour City, CA, USA). The column used was a 60 m × 0.25 mm i.d. × 0.25 μm d.f. Rtx-WAX (Restek, Belafonte, PA, USA). Initial temperature of the GC oven was 40 °C, ramped up at 2 °C/min to reach 240 °C, and then kept at this temperature for additional 10 min. Helium was used as a carrier gas at a flow rate of 1.2 mL/min. Mass spectra were acquired in EI mode (70 eV), at 30–350 m/z.

Identification of volatile compounds was conducted by comparison of retention times and mass spectra of the analytes with those of pure standards, and with mass spectra from NIST05 library. Identification by comparison with mass spectra was considered satisfactory if spectra reverse match numbers (RM) higher than 800 were obtained. In the case of less clear spectra (RM < 800) identification was considered satisfactory if the ratios of the relative intensities of a quantifier ion and three characteristic ions with the highest intensity reasonably matched those in the reference spectra of a given compound. Linear retention indices were calculated with respect to the retention times of C10 to C28 n-alkanes and compared to those reported in literature for columns of equal or equivalent polarity. Calibration curves were constructed based on the analysis of standard solutions containing known concentrations of standards at six concentration levels and were used for quantification. Quantification of major volatile compounds was based on total ion current peak area, while quantification of minor compounds was based on quantifier ion peak area. The peak areas and concentrations in standard solutions and in wine samples were normalized with respect to those of the internal standards. Linearity was satisfactory with coefficient of determination higher than 0.99 for all the standards. Relative standard deviation of repeatability (RSD) was determined after repeated analysis (n = 5) of a Malvazija istarska wine sample and was satisfactory, with RSD lower than 13.05% for monoterpenes, 7.38 for β-damasenone, lower than 9.23% for alcohols, 7.34 for ethyl esters, 12.34% for acetate esters, and 11.78% for fatty acids. Method validation parameters were previously published in the study of Bubola et al. [30]. In the cases when pure chemical standards were not available, semi-quantitative analysis was carried out. The concentrations of such compounds were expressed as equivalents of compounds with similar chemical structure which were quantified using calibration curves, assuming a response factor equal to one.

2.4. Analysis of Volatile Aroma Compounds by GC×GC-TOF-MS

A volume of 2.5 mL of wine was transferred to a 20 mL headspace vial and 1.5 g of sodium chloride was added. Wine sample was spiked with 50 μL of internal standard (2-octanol, 1 mg/L). Quality control samples (QC) were prepared by mixing equal proportion of each sample and were analyzed before the samples sequence (n = 5) and after every five samples (n = 1). GC×GC-TOF-MS analysis of wines was performed using a GC Agilent 7890N (Agilent Technologies, Palo Alto, CA, USA) coupled to a LECO Pegasus IV time-of-flight mass spectrometer (TOF-MS) (Leco Corporation, St. Joseph, MI, USA) equipped with a Gerstel MPS autosampler (GERSTEL GmbH & Co. KG, Mülheim an der Ruhr, Germany), as described in previous studies with minor modifications [9,31,32]. Briefly, samples were preconditioned at 35 °C for 5 min and volatile compounds were extracted using a DVB/CAR/PDMS SPME fiber for 20 min. Volatile compounds were desorbed for 3 min at 250 °C in splitless mode. The fiber was reconditioned for 7 min at 270 °C between each extraction. Helium was used as a carrier gas at a flow rate of 1.2 mL/min. The oven was equipped with a 30 m × 0.25 mm × 0.25 μm film thickness VF-WAXms column (Agilent Technologies) in the first dimension (1D) and a 1.5 m × 0.15 mm × 0.15 μm film thickness Rxi 17Sil MS column (Restek) in the second dimension (2D). Initial oven temperature was maintained at 40 °C for 4 min, then raised at 6 °C/min to 250 °C, and then finally maintained at this temperature for additional 5 min. The second oven was maintained at 5 °C above the temperature of the first one throughout the analysis. The modulator was offset by +15 °C in relation to the secondary oven, the modulation time was 7 s with 1.4 s of hot pulse duration, as described previously [31]. Electron ionization at 70 eV was applied, the temperature of ion source was 230 °C, detector voltage was 1317 V, mass range (m/z) was 40–350, acquisition rate was 200 spectra/s, and acquisition delay was 120 s.

Baseline correction, chromatogram deconvolution and peak alignment were performed using LECO ChromaTOF software version 4.32 (Leco Corporation, St. Joseph, MI, USA). The baseline offset was set to 0.8 and signal to noise (S/N) ratio was set at 100. Peak width limits were set to 42 s and 0.1 s in the first and the second dimension, respectively. Traditional, not adaptive integration was used. The required match (similarity) to combine peaks was set to 650. Under these conditions 1025 putative compounds were detected. Volatile compounds were identified by comparing their retention times and mass spectra with those of pure standards and with mass spectra from NIST 2.0, Wiley 8, and FFNSC 2 (Chromaleont, Messina, Italy) mass spectral libraries, with a minimum library similarity match factor of 750 out of 999. For identification of compounds by comparison with pure standards, a mix of 122 compounds was injected under identical GC×GC-TOF-MS conditions. For tentative identification of compounds and/or confirmation of their identities determined as described above, linear retention indices were calculated with respect to the retention times of C10 to C30 n-alkanes and compared to those from literature for conventional one-dimensional GC obtained using columns of equal or equivalent polarity (NIST 2.0, Wiley 8, FFNSC 2, VCF, ChemSpider). Three hundred and seventeen (317) volatile aroma compounds were (tentatively) identified in total. Volatile compounds were semi-quantified and their concentrations in μg/L were calculated relative to the internal standard 2-octanol, assuming a response factor equal to one.

In preliminary tests by principal component analysis (PCA), QC samples were clustered very close and were very well separated from the wine samples, suggesting the repeatability of the method was very good. Relative standard deviation of the internal standard 2-octanol in QC samples was 10.4% which was considered satisfactory for HS-SPME/GC×GC-TOF-MS analysis.

2.5. Statistical Data Elaboration

Data obtained by GC-MS and GC×GC-TOF-MS were processed by analysis of variance (one-way ANOVA). Least significant difference (LSD) post-hoc test was used to compare the mean values of concentrations at p < 0.05. Multivariate analysis of data was performed by PCA and forward stepwise linear discriminant analysis (SLDA). The original dataset which included 32 wines and 350 volatile aroma compounds (33 determined by GC-MS + 317 determined by GC×GC-TOF-MS analysis; in the case of compounds determined by both techniques GC×GC-TOF-MS data were used), was reduced based on Fisher ratios (F-ratios). Multivariate techniques were applied on the variables (mean-centered concentrations of volatile compounds) with the highest F-ratios. PCA was performed with 40 variables with the highest F-ratio, while SLDA and hierarchical clustering were performed with 60 variables with the highest F-ratio, in both cases with GC-MS and GC×GC-TOF-MS data combined. Two additional SLDA models were built with the concentrations of terpenes which were significantly different between wines, using GC-MS and GC×GC-TOF-MS data separately. In SLDA, variables were selected based on Wilk’s lambda, with F to enter = 1 and F to remove = 0.5. Cross-validation was applied to check the prediction capacity of the developed SLDA models. ANOVA, PCA, and SLDA were performed by Statistica v. 13.2 software (StatSoft Inc., Tulsa, OK, USA). Hierarchical clustering was conducted and a heatmap was generated by Ward algorithm and Euclidean distance analysis using MetaboAnalyst v. 4.0 (http://www.metaboanalyst.ca), created at the University of Alberta, Canada [33].

3. Results and Discussion

3.1. GC-MS

Major volatile aroma compounds are highly abundant in wines and for this reason GC-MS was considered appropriate for their analysis. It was considered that their quantitation by GC-MS was not significantly affected by co-eluting compounds. As well, the analysis of major volatiles by GC×GC-TOF-MS would require a rather different setup than that applied in this study, with much larger modulation time and hot pulse duration, not applicable for minor and trace compounds. Major volatile aroma compounds determined by GC-MS are listed in Table 1, grouped according to chemical class, and sorted within each class in order of decreasing F-ratio obtained by one-way ANOVA. Twenty-one monoterpenoids and a sesquiterpenoid trans-nerolidol, eight C13-norisoprenoids, two benzenoids, four alcohols, four acids, and 11 esters were quantified. Table S2 reports the concentrations of the identified volatile compounds in each of the investigated wines.

Table 1.

Concentrations (μg/L) of volatile aroma compounds found in Croatian monovarietal wines after headspace solid-phase microextraction followed by gas chromatography-mass spectrometry (HS-SPME/GC–MS) sorted by compound class and descending Fisher F-ratio.

No. Volatile Compounds tR ID LRIexp LRIlit F-Ratio Variety
(min:s) MI PO MA KR SK
Terpenes
1 α-Terpineol 39:59 S, MS, LRI 1684 1684 35.07 15.65 ± 7.04 b 10.92 ± 3.16 bc 5.50 ± 2.10 cd 1.98 ± 0.89 d 40.49 ± 11.05 a
2 Monoterpene
(n.i.; m/z 59, 93, 121)
28:29 MS 1441 - 27.68 1.03 ± 0.50 b 0.64 ± 0.24 bc 0.27 ± 0.24 cd 0.02 ± 0.04 d 2.79 ± 1.01 a
3 Linalool 33:10 S, MS, LRI 1542 1542 24.71 68.00 ± 27.76 b 38.17 ± 8.05 c 18.52 ± 8.28 d 7.64 ± 2.56 d 90.75 ± 15.48 a
4 Limonene 15:17 MS, LRI 1191 1196 18.91 1.33 ± 0.68 b 0.98 ± 0.28 b 0.19 ± 0.05 c 0.36 ± 0.11 c 2.66 ± 1.01 a
5 Nerol 44:35 S, MS, LRI 1791 1791 16.31 13.38 ± 6.72 a 6.49 ± 1.96 b 4.55 ± 1.58 bc 1.06 ± 0.46 c 17.36 ± 3.74 a
6 cis-Linalool furan oxide 29:24 MS, LRI 1464 1464 12.57 0.08 ± 0.03 b 0.18 ± 0.06 a 0.06 ± 0.05 b 0.02 ± 0.01 b 0.20 ± 0.11 a
7 Monoterpenyl acetate
(n.i.; m/z 93, 69, 121)
21:55 MS 1302 - 12.50 3.12 ± 1.85 a 1.11 ± 0.27 b 0.59 ± 0.36 b 0.12 ± 0.06 b 3.16 ± 0.84 a
8 4-Terpineol 35:37 MS, LRI 1594 1596 11.60 0.24 ± 0.10 b 0.24 ± 0.06 b 0.23 ± 0.11 b 0.11 ± 0.03 c 0.51 ± 0.08 a
9 β-Pinene 13:45 MS, LRI 1146 1145 11.46 4.40 ± 2.41 a 2.43 ± 0.75 bc 0.40 ± 0.15 d 1.16 ± 0.37 cd 4.17 ± 1.06 ab
10 Ho-Trienol 36:02 MS, LRI 1601 1601 10.44 7.45 ± 3.95 a 6.95 ± 2.01 ab 1.71 ± 1.14 c 1.60 ± 0.76 c 4.18 ± 0.79 bc
11 trans-Rose oxide 23:23 MS, LRI 1352 1341 10.32 0.27 ± 0.08 b 0.21 ± 0.04 bc 0.15 ± 0.07 c 0.16 ± 0.03 bc 0.59 ± 0.34 a
12 Monoterpene
(n.i.; m/z 93, 69, 41)
29:56 MS 1476 - 8.51 0.49 ± 0.28 b 0.25 ± 0.07 c 0.24 ± 0.17 c 0.12 ± 0.13 c 0.77 ± 0.24 a
13 trans-Ocimene 18:03 MS, LRI 1252 1250 8.45 1.58 ± 0.92 a 1.27 ± 0.41 ab 0.17 ± 0.07 c 0.55 ± 0.18 bc 1.30 ± 0.50 ab
14 Citronellol 43:11 S, MS, LRI 1758 1758 8.34 5.02 ± 0.61 a 5.09 ± 0.69 a 5.30 ± 1.78 a 2.56 ± 0.30 b 5.60 ± 1.75 a
15 Nerol oxide 29:18 MS, LRI 1459 1464 7.01 3.04 ± 1.12 a 3.74 ± 1.82 a 1.35 ± 1.17 b 1.11 ± 0.40 b 4.11 ± 1.44 a
16 Geranyl acetone 47:01 MS, LRI 1845 1845 5.38 2.93 ± 0.58 b 3.58 ± 0.99 b 7.58 ± 4.80 a 2.64 ± 0.39 b 2.55 ± 1.14 b
17 trans-Linalool pyran oxide 41:49 MS, LRI 1726 1752 4.85 0.08 ± 0.02 b 0.13 ± 0.05 a 0.07 ± 0.05 b 0.04 ± 0.03 b 0.06 ± 0.02 b
18 trans-Nerolidol 54:39 MS, LRI 2031 2031 4.61 2.89 ± 0.50 a 3.17 ± 0.59 a 2.66 ± 1.58 ab 1.59 ± 0.22 b 1.53 ± 0.35 b
19 Monoterpene
(n.i.; m/z 121, 93, 136)
31:30 MS 1509 - 3.09 2.45 ± 0.49 a 2.41 ± 0.56 a 2.11 ± 0.73 a 1.11 ± 0.16 b 2.88 ± 2.79 a
20 Geraniol 46:35 S, MS, LRI 1838 1838 2.93 40.64 ± 21.59 ab 24.23 ± 8.96 ab 39.96 ± 48.27 ab 2.73 ± 1.56 b 46.19 ± 10.53 ab
21 Geranyl ethyl ether 31:54 MS, LRI 1511 1499 2.69 0.53 ± 0.33 0.86 ± 0.97 1.08 ± 0.84 0.05 ± 0.02 0.82 ± 0.25
22 α-Terpinolene 19:34 MS, LRI 1287 1281 2.32 0.49 ± 0.29 0.73 ± 0.92 0.07 ± 0.04 0.14 ± 0.07 0.33 ± 0.26
C13-norisoprenoids
23 Vitispirane II 31:16 MS, LRI 1523 1529 9.85 0.07 ± 0.02 c 0.34 ± 0.16 a 0.20 ± 0.10 b 0.09 ± 0.01 c 0.14 ± 0.06 bc
24 β-Damascenone 45:26 MS, LRI 1809 1809 7.09 3.52 ± 0.69 a 2.81 ± 1.42 ab 1.99 ± 0.58 bc 2.28 ± 0.25 b 0.89 ± 0.29 c
25 Actinidol I 49:55 MS, LRI 1914 1914 5.59 0.12 ± 0.05 a 0.16 ± 0.06 a 0.13 ± 0.07 a 0.04 ± 0.01 b 0.09 ± 0.03 ab
26 Actinidol II 50:27 MS, LRI 1927 1927 5.10 0.20 ± 0.08 a 0.23 ± 0.07 a 0.23 ± 0.10 a 0.08 ± 0.01 b 0.16 ± 0.04 ab
27 Vitispirane I 32:08 MS, LRI 1521 1526 5.03 0.09 ± 0.04 c 0.46 ± 0.24 a 0.33 ± 0.24 ab 0.19 ± 0.05 bc 0.32 ± 0.18 abc
28 β-Ionone 50:17 S, MS, LRI 1923 1923 3.89 0.06 ± 0.01 ab 0.05 ± 0.01 b 0.07 ± 0.01 a 0.05 ± 0.01 b 0.07 ± 0.01 a
29 Actinidol ethyl ether I 40:25 MS, LRI 1690 1690 3.37 0.25 ± 0.12 bc 0.43 ± 0.24 a 0.34 ± 0.25 ab 0.11 ± 0.02 c 0.24 ± 0.06 bc
30 Actinidol ethyl ether II 41:49 MS, LRI 1723 1723 2.76 0.15 ± 0.07 ab 0.25 ± 0.16 a 0.20 ± 0.15 a 0.06 ± 0.01 b 0.15 ± 0.04 ab
Benzenoids
31 Ethyl cinnamate 57:33 S, MS, LRI 2111 2122 6.96 0.41 ± 0.19 b 1.16 ± 0.78 a 0.39 ± 0.08 b 0.21 ± 0.10 b 0.16 ± 0.10 b
32 Benzaldehyde 31:26 S, MS, LRI 1508 1509 0.84 1.66 ± 1.25 3.48 ± 5.40 1.17 ± 0.54 2.56 ± 0.81 3.11 ± 1.57
Alcohols
33 1-Hexanol 23:35 S, MS, LRI 1356 1357 25.56 792.14 ± 264.44 b 949.93 ± 179.86 b 859.15 ± 171.18 b 321.89 ± 32.90 c 1544.09 ± 146.31 a
34 cis-3-Hexen-1-ol 25:03 S, MS, LRI 1379 1379 12.73 77.49 ± 40.64 c 299.33 ± 113.23 a 193.20 ± 123.23 b 26.16 ± 4.63 c 54.67 ± 23.77 c
35 2-Phenylethanol 48:52 S, MS, LRI 1891 1893 7.16 20,047.0 ± 4767.1 b 33,176.1 ± 4679.3 a 32,117.2 ± 10,870.7 a 20,712.5 ± 6134.8 b 17,665.9 ± 1061.0 b
36 trans-3-Hexen-1-ol 24:03 S, MS, LRI 1361 1361 1.73 61.38 ± 24.09 45.64 ± 17.99 46.57 ± 10.28 43.09 ± 10.26 63.87 ± 22.80
Acids
37 Decanoic acid 62:49 S, MS, LRI 2257 2258 5.05 646.02 ± 179.70 b 1627.60 ± 659.33 a 1062.71 ± 505.33 b 994.33 ± 67.19 b 1090.36 ± 494.95 ab
38 Octanoic acid 54:56 S, MS, LRI 2043 2042 4.03 4294.07 ± 796.78 b 6239.74 ± 1532.91 a 5147.23 ± 1562.12 ab 6219.42 ± 455.69 a 6359.73 ± 1152.33 a
39 Hexanoic acid 46:10 S, MS, LRI 1830 1828 3.05 5715.09 ± 552.13 ab 5184.65 ± 722.46 b 5284.54 ± 1710.50 b 6487.89 ± 603.01 a 7025.45 ± 1103.35 a
40 Butyric acid 36:28 S, MS, LRI 1612 1612 0.54 1766.10 ± 323.75 1607.09 ± 231.34 1685.41 ± 407.86 1581.53 ± 184.63 1788.32 ± 346.09
Esters
41 2-Phenethyl acetate 45:03 S, MS, LRI 1803 1801 9.02 2230.06 ± 481.79 b 4731.20 ± 1467.85 a 2359.08 ± 1289.62 b 2579.92 ± 287.25 b 1750.70 ± 284.91 b
42 Ethyl octanoate 28:06 S, MS, LRI 1435 1435 8.88 1211.04 ± 239.22 a 1086.51 ± 223.88 a 817.08 ± 231.10 b 701.64 ± 160.66 b 544.02 ± 243.59 b
43 Ethyl hexanoate 17:35 S, MS, LRI 1236 1236 6.80 721.60 ± 172.38 a 379.34 ± 86.89 c 463.42 ± 153.50 bc 580.60 ± 120.60 ab 474.95 ± 108.08 bc
44 Hexyl acetate 19:26 S, MS, LRI 1272 1272 6.10 216.64 ± 52.04 a 204.45 ± 73.60 a 123.25 ± 54.35 b 107.91 ± 34.65 b 207.09 ± 40.86 a
45 Ethyl decanoate 37:43 S, MS, LRI 1637 1638 5.61 302.58 ± 46.92 a 279.95 ± 69.24 ab 179.10 ± 81.94 c 220.08 ± 29.45 bc 199.26 ± 29.89 bc
46 Isoamyl acetate 12:29 S, MS, LRI 1120 1122 3.97 3299.12 ± 1092.74 a 3321.37 ± 1674.71 a 1460.92 ± 566.57 b 2397.45 ± 774.95 ab 1879.81 ± 562.20 ab
47 Ethyl butyrate 09:27 S, MS, LRI 1030 1030 3.09 456.83 ± 69.21 a 415.44 ± 50.58 ab 363.29 ± 80.70 b 367.30 ± 47.60 b 350.99 ± 74.33 b
48 Ethyl 3-methylbutyrate 10:31 S, MS, LRI 1065 1065 2.58 8.51 ± 1.98 14.79 ± 5.57 12.86 ± 5.26 11.34 ± 4.39 8.39 ± 0.88
49 Ethyl 2-methylbutyrate 10:00 S, MS, LRI 1049 1049 2.17 4.19 ± 1.13 6.57 ± 2.31 6.57 ± 2.70 6.25 ± 2.48 4.01 ± 0.62
50 Diethyl succinate 39:04 S, MS, LRI 1667 1669 1.53 1634.59 ± 398.33 1917.40 ± 1362.67 1665.03 ± 858.64 997.49 ± 290.90 1064.55 ± 106.44
51 Ethyl lactate 22:56 S, MS, LRI 1341 1341 0.58 25,943.4 ± 13,586.8 45,815.9 ± 55,981.7 34,462.1 ± 16,552.6 25,359.5 ± 12,701.8 32654.3 ± 7282.3

ID—identification of compounds; S—retention time and mass spectrum consistent with that of the pure standard and with NIST05 mass spectra electronic library; LRI—linear retention index consistent with that found in literature; MS—mass spectra consistent with that from NIST05 mass spectra electronic library or literature; n.i.—not identified. The compounds with only MS symbol in ID column were tentatively identified. The compounds for which pure standards were not available (without symbol S in the ID column) were quantified semi-quantitatively and their concentrations were expressed as equivalents of compounds with similar chemical structure assuming a response factor = 1. LRIexp—linear retention index obtained experimentally. Varieties: MI—Malvazija istarska, PO—Pošip, MA—Maraština, KR—Kraljevina, SK—Škrlet. Different superscript lowercase letters in a row represent statistically significant differences between mean values at p < 0.05 obtained by one-way ANOVA and least significant difference (LSD) test.

Among terpenes, major monoterpenols such as linalool, geraniol, α-terpineol, and nerol were found in the highest concentration, which was generally in agreement with previous findings on white wines [34,35,36]. The mentioned are among the most influential monoterpenoids to wine aroma, to which they significantly contribute with specific floral and fruity nuances due to their relatively low odor perception thresholds, such as, for example, 15 μg/L for linalool [35,37]. The highest F-ratio among all the compounds identified by GC-MS was determined for α-terpineol, followed by an unidentified monoterpene and linalool, confirming the importance of terpenes for wine varietal differentiation [35]. Many other (mono)terpenes also turned out to be important in this sense, while other compound classes exhibited lower F-ratios, with the exception of 1-hexanol. Such an outcome was expected to some extent, since terpenes are primary aroma compounds originating from grapes, both as free volatile molecules or released from glycosidic precursors. Their composition and amounts are genetically pre-determined: genetic variation in aroma biosynthesis genes cause differences in terpene concentrations between grapevine varieties. For example, a variant of 1-deoxy-D-xylulose-5-phosphate synthase, a gene responsible for the biosynthesis of terpenoids, causes pronounced increase in terpene concentration in Muscat and Gewürztraminer grapes, which gives wines of these varieties a recognizable floral aroma [4,38,39]. Monoterpenes are generally known to be responsible for varietal aroma of muscats and non-muscat aromatic varieties, such as Gewürtztraminer, Riesling, Müller-Thurgau, etc. [36,40,41], but were also found useful for the differentiation of wines of other, so-called semi-aromatic and neutral grape varieties [41,42,43,44,45]. Márquez, Castro, Natera, and García-Barroso [46] characterized the volatile fraction of Andalusian sweet wines made from Muscat and Pedro Ximenez varieties and, interestingly, also found that α-terpineol was the most powerful differentiator with the highest F-ratio, followed closely by linalool and limonene, similar as in this case.

In this study, the ratios of terpene concentrations in different monovarietal wines varied from compound to compound, but it was generally observed that wines from Škrlet, a relatively unexplored Croatian grape variety, were characterized by the highest concentrations of many important monoterpenes (Table 1), while the concentrations of other monoterpenes were also among the highest in the investigated wines. The concentrations of monoterpenes in Malvazija istarska wines were notable and generally in fair agreement with those reported previously for this variety, with linalool followed by geraniol as the most abundant [43,47,48,49]. Malvazija was followed by Pošip wine with intermediate concentrations, while Maraština and especially Kraljevina wines had the lowest terpene concentrations.

Although the content and composition of terpenes in grapes and wines is principally pre-determined by variety, they are susceptible to modulation in response to many factors, such as viticultural parameters including soil characteristics, exposure to sunlight, water status, defoliation, crop thinning, etc. [34,50], as well as pre-fermentation and fermentation practices and conditions [35,36]. Except the effect of variety, the differences between the investigated monovarietal wines were probably partly caused by different geographical origin (Istria, Dalmatia, continental Croatia), so the effects of variety and location probably acted in synergy. It is indeed known that low temperatures favor the production of aroma compounds in grapes [51], so it is possible that the highest concentration of monoterpenes in Škrlet wines from continental Croatia characterized by lower temperatures was at least partly due to the effect of climate. The same could be deduced for Malvazija wines coming from the northern, somewhat colder part of the Adriatic coast. Conversely, elevated temperatures have potential to reduce the aromatic potential of grapes [52], which is possibly a reason for somewhat lower concentrations of monoterpenes in Dalmatian Pošip and Maraština wines. Kraljevina wines, which had the lowest concentrations of terpenes despite originating from the continental part, could be an exception that confirms the rule.

C13-Norisoprenoids are also secondary metabolites in grapes, present in both aromatic and neutral varieties. They are formed as biodegradation products of carotenoid molecules, such as lutein, β-carotene, violaxanthin, and neoxanthin, via numerous formation mechanisms and intermediates during pre-fermentative steps, fermentation, and aging [53,54]. Four of them, β-damascenone, β-ionone, 1,1,6-trimethyl-1,2-dihydronaphthalene (TDN), and trans-1-(2,3,6-trimethylphenyl)buta-1,3-diene (TPB), were commonly found in wine at concentrations surpassing their odor perception thresholds, meaning they can have a direct impact on wine aroma [34]. Especially important is β-damascenone with its pleasant odor reminiscent of honey, dried plum and stewed apple, and a very low perception threshold, which ranks it among the most important wine odorants [37]. β-Ionone, characterized by a threshold of the similar order of magnitude, also significantly contributes to wine aroma with an odor reminiscent of violets, while the contribution of TDN and TPB becomes relevant mostly in aged wines [34]. The concentrations of the majority of C13-norisoprenoids were generally higher in Dalmatian Pošip and Maraština, and the lowest in Kraljevina wines, although in particular cases with no statistical significance (Table 1). According to Marais and van Wyk [54] the concentration of β-damascenone is principally dependent on viticultural and winemaking conditions, while variety has less influence. Nevertheless, particular differences were observed: Malvazija wines were found to contain the highest concentration, although not different from that found in Pošip, while Škrlet had the lowest, not different from that found in Maraština wine. Malvazija was also characterized by the lowest concentration of vitispiranes together with Kraljevina wine. Among benzenoids, ethyl cinnamate emerged as a prominent marker of Pošip varietal origin, since it was found in the highest concentration in this wine.

C6-alcohols are formed mainly in pre-fermentation vinification steps by degradation of unsaturated fatty acids by the action of enzymes, as well as by liberation from glycosidic precursors. They may have an effect on wine aroma with their so-called green and herbal odors, but luckily have relatively high odor perception thresholds, such as 8000 μg/L for 1-hexanol [37], so only very high concentration can produce negative effects. Certain authors include C6-compounds among varietal aromas [16] and their concentrations were found useful in differentiation of particular wines based on variety [43,55]. The highest concentration of 1-hexanol was found in Škrlet, while Kraljevina contained the lowest amount (Table 1). Maraština, and especially Pošip wines were characterized by the highest concentration of unsaturated C6-alcohols. It is possible that the mentioned differences were a consequence of different enzymatic potentials and fatty acid precursor loads in grapes of these varieties [55].

Concentrations and the composition of fermentation aroma compounds are mainly affected by fermentation conditions, but may also be influenced by grape composition [56]. Many studies proved that the composition of volatile compounds formed in fermentation can be useful in differentiating wines of mostly neutral varieties equally or even more successful than by using, e.g., monoterpene concentrations [11,14,20,29]. This is more characteristic for C6–C10 fatty acids and the corresponding ethyl esters which, in contrast to acetates, are more dependent on the concentration of precursors and therefore on variety and conditions in vineyard, and less on the activity of yeast [57]. The average concentration of 2-phenylethanol was higher than the corresponding odor perception threshold of 10,000 μg/L in all the studied monovarietal wines, meaning this alcohol contributed significantly with its odor reminiscent of roses [37]. Pošip and Maraština had approximately 50% higher concentration of 2-phenylethanol in relation to the other investigated wines (Table 1). The concentrations of major volatile fatty acids (C6–C10) surpassed the corresponding odor perception thresholds of 420, 500, and 1000 μg/L, respectively [58], in all the investigated wines. Fatty acid production is determined in part by the initial composition of must [59] and therefore possibly by varietal origin. Malvazija istarska wines stood out with low concentrations of decanoic and octanoic acid. Among esters, Pošip was clearly differentiated from the other monovarietal wines by the highest concentration of 2-phenethyl acetate, which could have been related to the higher concentration of its precursor 2-phenylethanol found in this wine. However, it was stated previously that precursor concentrations do not significantly determine the concentrations of acetate esters formed by Saccharomyces cerevisiae, with the expression of alcohol acetyl transferase gene in yeast as a limiting factor [60]. Concentration of 2-phenethyl acetate in all the investigated wines was higher than the corresponding threshold of 250 μg/L [37], suggesting its floral odor participated in the aroma of all the wines. The major ethyl and acetate esters are among the most important volatile compounds for the fresh fruity aroma of young white wines to which they significantly contribute by commonly multiply surpassing their rather low odor perception thresholds, such as 30 μg/L for isoamyl acetate, 20 μg/L for ethyl butyrate, 5 μg/L for ethyl hexanoate, and 2 μg/L for ethyl octanoate [37]. The highest concentration of linear middle-chain ethyl esters and acetates other than 2-phenylethyl acetate, although in some cases without statistical significance, was noted in Malvazija istarska wines. Pošip was also relatively abundant in these esters, except for ethyl hexanoate which was found in the lowest concentration in this and in Maraština wines. Although hexanoic acid is mainly formed in fermentation, grapes also contain non-negligible concentration. This means that the concentration of ethyl hexanoate in wine is probably partly influenced by the concentration of its precursor, hexanoic acid, in grapes [4], so the lower concentration of ethyl hexanoate in Pošip and Maraština could have been influenced by a genotype.

3.2. GC×GC-TOF-MS

A characteristic HS-SPME/GC×GC-TOF-MS analysis 2D chromatogram of volatile compounds in Malvazija istarska wine is shown in Figure S1. It can be seen that many compounds which were separated by the second dimension column had the same retention times on the first, meaning these compounds would not be adequately separated by the conventional GC-MS. The average concentrations of volatile compounds (tentatively) identified in the investigated wines after GC×GC-TOF-MS analysis are reported in Table 2, while the concentrations found in each of the investigated wines are reported in Table S3. Compounds were grouped according to chemical class, and sorted within each class in order of decreasing F-ratio determined by one-way ANOVA. Three hundred and seventeen (317) volatile aroma compounds were identified, including 53 terpenes, 10 norisoprenoids, 50 benzenoids, 5 hydrocarbons, 7 aldehydes, 24 ketones, 32 alcohols, 16 acids, 73 esters, 5 volatile phenols, 17 furanoids and lactones, 19 sulfur containing compounds, and 6 other compounds. GC×GC-TOF-MS exhibited superior peak annotation ability than GC-MS which enabled the identification of a much larger number of compounds, as a consequence of higher separation efficiency, enhanced sensitivity, and clearer mass spectra allowed by separation on two different phases [23]. Other factors which could have affected the differences between the results obtained by the two techniques/methods were the absolute sensitivity of the analyzers, SPME conditions (sample volume and dilution, duration and temperature of extraction, fiber length, etc.), and others. To our knowledge, with 350 compounds identified by GC-MS and GC×GC-TOF-MS combined, this study reported one of the most detailed volatile aroma profiles in wine to date. It has to be noted that for particular compounds which were analyzed and reported by both the techniques applied the obtained absolute concentrations differed due to different quantification methods used: quantitative analysis with the use of standards solutions and calibration curves in GC-MS, and semi-quantification relative to internal standard 1-octanol concentration, assuming a response factor equal to one, in GC×GC-TOF-MS analysis, respectively. The concentrations of many volatile compounds were found to be significantly different between wines (161), but relatively few were found to be exclusive markers of particular variety.

Table 2.

Concentrations (μg/L relative to internal standard 2-octanol) of volatile aroma compounds found in Croatian monovarietal wines obtained by headspace solid-phase microextraction followed by comprehensive two-dimensional gas chromatography-mass spectrometry with time-of-flight mass spectrometric detection (HS-SPME/GC×GC-TOF-MS) sorted by compound class and descending Fisher F-ratio.

No. Volatile Compounds tR (1D) tR (2D) ID LRIexp LRIlit F-Ratio Variety
(min:s) (min:s) MI PO MA KR SK
Terpenes
1 α-Terpineol 18:47.2 00:01.2 MS, LRI 1710 1709 112.904 3.683 ± 1.391 b 2.440 ± 0.424 c 1.256 ± 0.455 d 0.712 ± 0.369 d 11.628 ± 0.495 a
2 Limonene 08:01.0 00:01.8 S, MS, LRI 1191 1194 54.231 1.401 ± 0.746 b 0.429 ± 0.261 c 0.360 ± 0.105 c 0.191 ± 0.114 c 3.956 ± 0.291 a
3 Linalool 15:50.0 00:01.1 S, MS, LRI 1541 1541 23.272 16.664 ± 7.072 b 10.757 ± 1.712 c 5.318 ± 1.567 d 2.857 ± 0.970 d 23.674 ± 3.494 a
4 trans-Alloocimene 12:13.0 00:01.6 MS, LRI 1384 1388 22.080 0.362 ± 0.189 b 0.137 ± 0.032 c 0.088 ± 0.044 c 0.040 ± 0.022 c 0.753 ± 0.282 a
5 o-Cymene 09:49.9 00:01.6 S, MS, LRI 1273 1268 20.745 1.305 ± 0.436 b 0.631 ± 0.353 c 0.441 ± 0.268 c 0.278 ± 0.142 c 2.613 ± 1.042 a
6 γ-Dehydro-ar-himachalene 25:10.0 00:01.7 MS 2046 - 18.720 0.003 ± 0.003 b 0.003 ± 0.003 b 0.003 ± 0.002 b 0.016 ± 0.006 a 0.004 ± 0.004 b
7 β-Myrcene 07:18.8 00:01.6 S, MS, LRI 1159 1159 17.244 2.351 ± 1.293 b 0.885 ± 0.539 c 0.331 ± 0.070 c 0.183 ± 0.094 c 4.353 ± 1.916 a
8 Nerol 20:43.5 00:01.0 S, MS, LRI 1812 1811 16.944 0.568 ± 0.277 b 0.220 ± 0.118 c 0.225 ± 0.070 c 0.077 ± 0.038 c 0.810 ± 0.139 a
9 cis-α-Ocimene 09:24.8 00:01.6 MS, LRI 1254 1255 14.724 2.278 ± 0.937 a 0.754 ± 0.205 b 0.459 ± 0.087 b 0.337 ± 0.170 b 3.070 ± 1.903 a
10 trans-Linalool furan oxide 13:39.9 00:01.2 S, MS, LRI 1445 1450 14.601 0.444 ± 0.117 b 0.480 ± 0.160 b 0.221 ± 0.144 c 0.157 ± 0.138 c 0.872 ± 0.264 a
11 Ho-trienol 17:07.0 00:01.0 MS, LRI 1607 1612 13.945 2.843 ± 1.206 a 2.307 ± 0.568 a 0.669 ± 0.405 b 0.712 ± 0.395 b 2.510 ± 0.219 a
12 Geraniol 21:33.0 00:01.0 S, MS, LRI 1856 1857 11.761 0.432 ± 0.254 a 0.225 ± 0.091 b 0.124 ± 0.041 b 0.084 ± 0.020 b 0.589 ± 0.079 a
13 Carvomenthenal 17:14.0 00:01.5 MS, LRI 1615 1629 11.321 0.381 ± 0.215 a 0.193 ± 0.088 b 0.142 ± 0.052 b 0.057 ± 0.034 b 0.525 ± 0.132 a
14 Linalool ethyl ether 11:02.8 00:01.9 MS, LRI 1329 1331 10.900 5.419 ± 2.787 a 1.744 ± 0.925 b 0.998 ± 0.204 b 0.444 ± 0.219 b 6.365 ± 4.476 a
15 4-Terpineol 17:00.0 00:01.3 S, MS, LRI 1600 1597 10.895 0.464 ± 0.097 b 0.363 ± 0.069 cd 0.418 ± 0.116 bc 0.289 ± 0.083 d 0.676 ± 0.045 a
16 α-Terpinolene 10:03.7 00:01.9 S, MS, LRI 1284 1282 10.846 1.630 ± 0.872 b 0.520 ± 0.288 c 0.387 ± 0.217 c 0.173 ± 0.085 c 3.391 ± 2.459 a
17 Geranyl ethyl ether 15:08.0 00:01.8 MS, LRI 1506 1506 10.391 2.042 ± 0.965 a 0.710 ± 0.328 b 0.500 ± 0.186 b 0.222 ± 0.161 b 2.960 ± 2.199 a
18 Monoterpene (n.i.; m/z 93, 121, 136) 13:54.1 00:01.9 MS 1455 - 9.899 10.628 ± 4.686 a 4.420 ± 1.974 b 2.737 ± 1.576 b 1.104 ± 0.702 b 16.227 ± 12.511 a
19 Neryl ethyl ether 14:26.5 00:01.8 MS, LRI 1477 1468 8.918 0.334 ± 0.175 b 0.143 ± 0.065 bc 0.100 ± 0.067 bc 0.023 ± 0.021 c 0.863 ± 0.729 a
20 Monoterpene (n.i.; m/z 68, 93, 121) 08:15.2 00:01.8 MS 1202 - 8.901 0.252 ± 0.272 b 0.126 ± 0.077 bc 0.047± 0.021 c 0.020 ± 0.015 c 0.575 ± 0.180 a
21 p-Cymenene 13:30.2 00:01.5 MS, LRI 1439 1438 7.409 1.332 ± 0.236 a 0.899 ± 0.190 b 0.918 ± 0.307 b 0.733 ± 0.210 b 1.711 ± 0.786 a
22 trans-β-Ocimene 09:01.7 00:01.7 S, MS, LRI 1237 1241 6.833 0.078 ± 0.148 b 0.067 ± 0.087 b 0.099 ± 0.109 b 0.014 ± 0.019 b 0.919 ± 0.926 a
23 β-Calacorene 22:43.0 00:01.8 MS, LRI 1919 1918 5.495 0.108 ± 0.018 ab 0.075 ± 0.011 c 0.078 ± 0.011 c 0.131 ± 0.044 a 0.072 ± 0.052 c
24 cis-Z-α-Bisabolene epoxide 24:28.0 00:01.3 MS, LRI 2010 2007 5.329 0.002 ± 0.003 c 0.008 ± 0.004 bc 0.010 ± 0.009 b 0.013 ± 0.006 ab 0.023 ± 0.016 a
25 trans-Linalool pyran oxide 19:34.0 00:01.1 MS, LRI 1751 1752 4.346 0.059 ± 0.018 ab 0.082 ± 0.049 a 0.029 ± 0.031 b 0.031 ± 0.019 b 0.086 ± 0.025 a
26 Cadalene 27:46.2 00:01.6 MS, LRI >2100 2191 3.956 0.047 ± 0.010 b 0.039 ± 0.017 b 0.035 ± 0.011 b 0.064 ± 0.022 a 0.032 ± 0.021 b
27 Isogeraniol 20:55.4 00:01.0 MS, LRI 1822 1828 3.457 0.036 ± 0.030 a 0.018 ± 0.014 ab 0.005 ± 0.006 b 0.010 ± 0.011 b 0.015 ± 0.007 ab
28 α-Terpinene 07:33.6 00:01.8 S, MS, LRI 1170 1175 3.225 0.033 ± 0.061 b 0.006 ± 0.010 b 0.006 ± 0.010 b 0.007 ± 0.015 b 0.106 ± 0.120 a
29 Sesquiterpene (n.i.; m/z 119, 93, 69) 19:48.0 00:01.8 MS 1763 - 2.809 0.064 ± 0.010 a 0.038 ± 0.020 b 0.040 ± 0.014 b 0.045 ± 0.012 b 0.042 ± 0.038 b
30 Menthol 17:42.0 00:01.1 MS, LRI 1644 1641 2.746 0.129 ± 0.050 b 0.222 ± 0.283 b 0.115 ± 0.032 b 0.099 ± 0.023 b 1.177 ± 1.847 a
31 Citronellol 20:02.9 00:01.1 S, MS, LRI 1776 1777 2.724 0.303 ± 0.037 ab 0.250 ± 0.089 ab 0.260 ± 0.089 ab 0.154 ± 0.074 b 0.309 ± 0.229 ab
32 α-Farnesene II 19:48.0 00:01.9 S, MS, LRI 1763 1762 2.118 0.053 ± 0.018 0.029 ± 0.016 0.026 ± 0.023 0.039 ± 0.021 0.047 ± 0.026
33 Monoterpene (n.i.; m/z 93, 121, 94) 20:48.1 00:01.7 MS 1816 - 2.054 0.056 ± 0.034 0.067 ± 0.027 0.041 ± 0.041 0.028 ± 0.015 0.028 ± 0.009
34 γ-Cadinene 19:55.0 00:02.1 MS, LRI 1769 1774 1.895 0.020 ± 0.003 0.013 ± 0.007 0.016 ± 0.004 0.014 ± 0.007 0.012 ± 0.011
35 (+)-Cuparene 21:05.0 00:02.0 MS, LRI 1831 1830 1.847 0.020 ± 0.001 0.014 ± 0.010 0.017 ± 0.004 0.012 ± 0.007 0.012 ± 0.010
36 trans-Calamenene 21:19.0 00:01.9 MS, LRI 1844 1837 1.780 0.063 ± 0.019 0.056 ± 0.020 0.049 ± 0.011 0.077 ± 0.028 0.056 ± 0.023
37 Citronellyl acetate 18:10.0 00:01.5 MS, LRI 1673 1668 1.652 0.056 ± 0.031 0.082 ± 0.059 0.041 ± 0.022 0.035 ± 0.017 0.063 ± 0.060
38 α-Calacorene 22:29.0 00:01.8 MS, LRI 1906 1916 1.533 0.020 ± 0.003 0.014 ± 0.008 0.015 ± 0.005 0.019 ± 0.009 0.012 ± 0.010
39 Dehydroaromadendrene 28:20.9 00:01.4 MS >2100 - 1.306 0.001 ± 0.002 0.014 ± 0.036 0.001 ± 0.002 0.012 ± 0.015 0.028 ± 0.034
40 Terpene (n.i.; m/z 121, 93, 136) 15:08.0 00:01.8 MS 1506 - 1.276 0.891 ± 0.202 0.784 ± 0.328 0.788 ± 0.357 0.458 ± 0.172 0.836 ± 1.082
41 β-Cyclocitral 17:21.0 00:01.5 S, MS, LRI 1622 1629 1.195 0.067 ± 0.016 0.071 ± 0.017 0.066 ± 0.030 0.051 ± 0.014 0.052 ± 0.028
42 α-Farnesene I 18:17.0 00:01.9 S, MS, LRI 1681 1697 1.124 0.126 ± 0.043 0.074 ± 0.034 0.102 ± 0.058 0.115 ± 0.061 0.113 ± 0.046
43 2-Acetyl-2-carene 23:11.0 00:01.3 MS 1943 - 1.088 0.030 ± 0.048 0.037 ± 0.039 0.047 ± 0.050 0.010 ± 0.013 0.054 ± 0.013
44 γ-Isogeraniol 20:29.2 00:01.0 MS, LRI 1799 1800 1.071 0.148 ± 0.134 0.123 ± 0.083 0.087 ± 0.064 0.061 ± 0.046 0.087 ± 0.078
45 Cosmene 13:41.6 00:01.4 MS, LRI 1446 1460 0.990 0.109 ± 0.117 0.056 ± 0.056 0.106 ± 0.068 0.080 ± 0.054 0.027 ± 0.011
46 α-Curcumene 20:16.0 00:01.8 MS, LRI 1787 1782 0.736 0.026 ± 0.014 0.019 ± 0.007 0.021 ± 0.007 0.029 ± 0.017 0.022 ± 0.011
47 trans-Geranyl acetone 21:40.0 00:01.5 MS, LRI 1863 1868 0.734 0.409 ± 0.437 0.228 ± 0.071 0.206 ± 0.060 0.422 ± 0.568 0.152 ± 0.036
48 α-Bergamotene 16:18.0 00:02.4 MS, LRI 1565 1585 0.675 0.027 ± 0.011 0.037 ± 0.027 0.058 ± 0.071 0.041 ± 0.020 0.043 ± 0.024
49 Sesquiterpene (n.i.; m/z 93, 80, 121) 20:16.0 00:02.0 MS 1787 - 0.596 0.021 ± 0.007 0.014 ± 0.008 0.020 ± 0.013 0.022 ± 0.014 0.022 ± 0.021
50 Neryl acetate 19:20.7 00:01.5 MS, LRI 1739 1742 0.576 0.085 ± 0.021 0.060 ± 0.050 0.058 ± 0.038 0.078 ± 0.054 0.092 ± 0.083
51 4-Thujanol 15:20.1 00:01.7 MS 1516 - 0.444 0.055 ± 0.040 0.051 ± 0.029 0.067 ± 0.043 0.068 ± 0.024 0.046 ± 0.012
52 Nerolidol 24:56.2 00:01.3 S, MS, LRI 2034 2034 0.434 0.114 ± 0.049 0.102 ± 0.040 0.124 ± 0.087 0.142 ± 0.058 0.131 ± 0.064
53 Geranyl acetate 19:55.0 00:01.5 S, MS, LRI 1769 1768 0.413 0.037 ± 0.015 0.048 ± 0.038 0.035 ± 0.018 0.034 ± 0.013 0.034 ± 0.033
C13-norisoprenoids
54 1,2-Dihydro-1,4,6-trimethylnaphthalene 25:38.3 00:01.5 MS 2071 - 7.148 0.001 ± 0.001 b 0.000 ± 0.000 b 0.009 ± 0.008 b 0.023 ± 0.018 a 0.002 ± 0.001 b
55 β-Damascenone 21:05.0 00:01.5 S, MS, LRI 1831 1832 6.736 8.245 ± 2.169 a 5.770 ± 2.963 bc 4.338 ± 1.563 cd 6.981 ± 1.067 ab 2.336 ± 0.303 d
56 α-Ionene 14:28.9 00:02.0 MS 1479 - 5.379 0.045 ± 0.017 bc 0.017 ± 0.023 c 0.069 ± 0.047 ab 0.085 ± 0.031 a 0.032 ± 0.017 bc
57 Norisoprenoid (n.i.; m/z 69, 121, 105) 20:00.5 00:01.6 MS 1774 - 5.061 0.248 ± 0.076 a 0.163 ± 0.101 b 0.127 ± 0.060 bc 0.202 ± 0.058 ab 0.055 ± 0.025 c
58 3,4-Dehydro-β-ionone 18:38.0 00:01.8 MS 1702 - 4.920 0.032 ± 0.009 a 0.011 ± 0.010 b 0.036 ± 0.017 a 0.040 ± 0.020 a 0.020 ± 0.004 ab
59 Vitispirane I 15:29.0 00:01.9 MS, LRI 1524 1524 3.470 1.155 ± 0.481 c 3.501 ± 1.555 ab 4.058 ± 2.588 a 2.200 ± 0.966 bc 3.007 ± 2.552 abc
60 1,2-Dihydro-1,5,8-trimethylnaphthalene 19:41.0 00:01.6 MS 1757 - 2.579 0.360 ± 0.109 0.363 ± 0.186 0.682 ± 0.399 0.770 ± 0.451 1.085 ± 1.062
61 Actinidol ethyl ether II 18:52.0 00:01.9 MS, LRI 1714 1723 2.179 0.099 ± 0.082 0.181 ± 0.106 0.167 ± 0.130 0.055 ± 0.030 0.133 ± 0.067
62 1,2-Dihydro-1,1,6-trimethylnaphthalene (TDN) 19:06.0 00:01.6 S, MS, LRI 1727 1729 0.885 0.021 ± 0.012 0.019 ± 0.010 0.031 ± 0.021 0.026 ± 0.018 0.015 ± 0.015
63 trans-1-(2,3,6-Trimethylphenyl)buta-1,3-diene (TPB) 21:12.0 00:01.5 MS, LRI 1837 1832 0.433 0.065 ± 0.029 0.057 ± 0.036 0.076 ± 0.048 0.057 ± 0.031 0.050 ± 0.025
Benzenoids
64 Ethyl benzoate 18:17.0 00:01.2 MS, LRI 1681 1678 20.194 0.759 ± 0.232 b 1.493 ± 0.366 a 0.653 ± 0.128 b 0.533 ± 0.118 b 0.570 ± 0.115 b
65 1,1’-Oxybisbenzene 24:20.1 00:01.3 MS, LRI 2003 2017 18.956 0.011 ± 0.002 a 0.004 ± 0.002 b 0.004 ± 0.003 b 0.003 ± 0.001 b 0.003 ± 0.001 b
66 2,3-Dihydro-1,1,5,6-tetramethyl-1H-indene I 18:17.0 00:01.7 MS 1681 - 9.842 0.076 ± 0.019 bc 0.027 ± 0.030 d 0.105 ± 0.039 ab 0.139 ± 0.054 a 0.050 ± 0.013 cd
67 Octylbenzene 19:27.0 00:01.8 MS, LRI 1745 1746 8.638 0.109 ± 0.011 a 0.065 ± 0.022 b 0.074 ± 0.010 b 0.072 ± 0.012 b 0.070 ± 0.032 b
68 trans-Edulan 17:07.0 00:01.8 MS, LRI 1607 1602 7.938 0.039 ± 0.016 b 0.084 ± 0.018 a 0.056 ± 0.019 b 0.042 ± 0.010 b 0.035 ± 0.031 b
69 2,3-Dihydro-1,1,5,6-tetramethyl-1H-indene II 17:28.0 00:01.7 MS 1629 - 7.671 0.023 ± 0.006 bc 0.007 ± 0.010 c 0.038 ± 0.020 ab 0.056 ± 0.030 a 0.016 ± 0.004 bc
70 3-Methylphenylacetylene 14:33.0 00:01.3 MS, LRI 1481 1450.9 7.438 0.012 ± 0.002 b 0.016 ± 0.006 b 0.013 ± 0.007 b 0.032 ± 0.013 a 0.028 ± 0.012 a
71 Benzoic acid 30:48.9 00:00.8 S, MS, LRI >2100 2438 6.952 0.269 ± 0.021 bc 0.412 ± 0.064 a 0.350 ± 0.047 a 0.233 ± 0.107 c 0.334 ± 0.111 ab
72 Azulene 19:34.0 00:01.3 MS, LRI 1751 1746 6.891 0.240 ± 0.058 a 0.181 ± 0.044 b 0.165 ± 0.042 bc 0.130 ± 0.039 c 0.117 ± 0.039 c
73 Trimethyl-tetrahydronaphthalene 13:12.1 00:01.8 MS 1426 - 6.830 0.007 ± 0.012 c 0.002 ± 0.004 c 0.056 ± 0.056 ab 0.102 ± 0.070 a 0.007 ± 0.008 c
74 Benzeneacetaldehyde 17:49.0 00:01.1 S, MS, LRI 1651 1648 6.827 5.920 ± 1.513 c 10.269 ± 2.174 a 8.487 ± 2.065 ab 5.884 ± 2.053 c 6.501 ± 1.630 bc
75 m-Methoxyanisole 19:48.0 00:01.2 MS, LRI 1763 1761 6.715 0.009 ± 0.013 c 0.035 ± 0.021 b 0.009 ± 0.011 c 0.013 ± 0.013 bc 0.070 ± 0.052 a
76 Benzenoid (n.i.; m/z 115, 130, 129) 16:37.2 00:01.4 MS 1581 - 5.764 0.007 ± 0.003 b 0.005 ± 0.004 b 0.005 ± 0.004 b 0.014 ± 0.005 a 0.009 ± 0.003 ab
77 6-[1-(Hydroxymethyl)vinyl]-4,8a-dimethyl-1,2,4a,5,6,7,8,8a-octahydro-2-naphthalenol 19:54.7 00:02.0 MS 1769 - 5.587 0.010 ± 0.014 b 0.010 ± 0.011 b 0.009 ± 0.010 b 0.041 ± 0.023 a 0.013 ± 0.011 b
78 Prehnitene 14:40.0 00:01.5 MS, LRI 1486 1476 5.516 0.198 ± 0.035 ab 0.160 ± 0.052 bc 0.249 ± 0.080 a 0.124 ± 0.034 c 0.124 ± 0.089 c
79 2-Methylnaphthalene 22:15.0 00:01.3 MS, LRI 1894 1872 4.321 0.021 ± 0.004 a 0.015 ± 0.003 b 0.014 ± 0.004 b 0.015 ± 0.005 b 0.012 ± 0.003 b
80 meso-2,3-Diphenylbutane 17:07.0 00:01.3 MS 1607 - 4.291 0.025 ± 0.017 b 0.050 ± 0.016 a 0.037 ± 0.009 ab 0.027 ± 0.010 b 0.032 ± 0.007 ab
81 4-Ethylbenzaldehyde 19:34.0 00:01.2 MS, LRI 1751 1747 4.168 0.059 ± 0.010 ab 0.067 ± 0.014 a 0.060 ± 0.015 ab 0.043 ± 0.010 c 0.048 ± 0.008 bc
82 Styrene 09:27.4 00:05.0 MS, LRI 1256 1257 3.578 2.067 ± 0.516 ab 2.462 ± 0.859 a 2.161 ± 0.275 ab 1.701 ± 0.419 bc 1.223 ± 0.083 c
83 Ethyl o-methylbenzoate 19:34.2 00:01.3 MS 1751 - 3.148 0.039 ± 0.005 ab 0.041 ± 0.005 a 0.034 ± 0.005 abc 0.028 ± 0.013 c 0.027 ± 0.015 c
84 2,3-Dihydrobenzofuran 16:46.0 00:01.2 MS 1588 - 3.122 0.025 ± 0.011 b 0.046 ± 0.014 a 0.039 ± 0.013 ab 0.029 ± 0.014 b 0.029 ± 0.001 b
85 Benzofuran 15:01.0 00:01.1 MS, LRI 1500 1496 3.121 0.040 ± 0.013 b 0.061 ± 0.022 a 0.047 ± 0.015 ab 0.040 ± 0.013 b 0.030 ± 0.005 b
86 Benzonitrile 17:00.0 00:01.0 MS, LRI 1600 1591 3.041 0.033 ± 0.015 b 0.064 ± 0.026 a 0.052 ± 0.021 ab 0.038 ± 0.016 b 0.039 ± 0.005 ab
87 α,α-Dimethylbenzenemethanol 19:55.2 00:01.0 MS, LRI 1769 1770 2.981 0.021 ± 0.009 b 0.033 ± 0.018 b 0.024 ± 0.008 b 0.027 ± 0.007 b 0.203 ± 0.309 a
88 Methyl 2-(benzyloxy)propanoate 23:18.0 00:01.3 MS 1949 - 2.958 0.825 ± 0.861 a 0.144 ± 0.151 b 0.107 ± 0.138 b 0.211 ± 0.456 b 0.018 ± 0.017 b
89 α-Methylstyrene 11:10.8 00:01.3 MS, LRI 1336 1325 2.727 0.006 ± 0.007 0.014 ± 0.006 0.015 ± 0.007 0.017 ± 0.008 0.118 ± 0.192
90 3-Ethylbenzaldehyde 18:59.4 00:01.2 MS, LRI 1721 1732 2.631 0.088 ± 0.013 0.092 ± 0.016 0.086 ± 0.023 0.065 ± 0.021 0.075 ± 0.004
91 3-Methylbenzofuran 21:19.0 00:01.1 MS 1844 - 2.594 0.027 ± 0.006 0.046 ± 0.012 0.034 ± 0.016 0.032 ± 0.014 0.034 ± 0.006
92 Styralyl isobutyrate 23:31.8 00:01.4 MS 1961 - 2.462 0.065 ± 0.022 0.191 ± 0.121 0.166 ± 0.115 0.149 ± 0.069 0.097 ± 0.023
93 2’,5’-Dimethylcrotonophenone 24:00.0 00:01.3 MS 1985 - 2.362 0.045 ± 0.017 0.040 ± 0.029 0.026 ± 0.019 0.040 ± 0.011 0.010 ± 0.009
94 Ethyl benzenepropanoate 22:15.0 00:01.3 MS, LRI 1894 1892 2.328 0.404 ± 0.256 0.509 ± 0.353 0.314 ± 0.180 0.206 ± 0.052 0.131 ± 0.079
95 1-Methylnapthalene 21:40.0 00:01.3 MS, LRI 1863 1878 2.319 0.017 ± 0.005 0.016 ± 0.007 0.014 ± 0.003 0.011 ± 0.003 0.010 ± 0.001
96 Ethyl salicylate 21:35.8 00:01.1 S, MS, LRI 1859 1837 2.288 0.037 ± 0.054 0.005 ± 0.008 0.027 ± 0.049 0.011 ± 0.012 0.177 ± 0.296
97 Methyl salicylate 20:16.0 00:01.2 S, MS, LRI 1787 1789 2.151 3.457 ± 1.576 4.548 ± 6.357 2.447 ± 1.435 1.979 ± 0.985 14.629 ± 21.656
98 2-Methylbenzaldehyde 17:27.8 00:01.1 MS, LRI 1629 1622 2.145 0.041 ± 0.014 0.057 ± 0.023 0.034 ± 0.023 0.032 ± 0.012 0.051 ± 0.025
99 Durene 13:16.0 00:01.5 MS, LRI 1429 1435 2.038 0.085 ± 0.033 0.084 ± 0.040 0.080 ± 0.027 0.056 ± 0.034 0.034 ± 0.028
100 Butylated hydroxytoluene 22:43.0 00:01.5 MS, LRI 1919 1920 1.558 0.314 ± 0.073 0.351 ± 0.163 0.295 ± 0.107 0.228 ± 0.067 0.210 ± 0.146
101 Ethyl benzeneacetate 20:30.0 00:01.2 MS, LRI 1799 1788 1.474 1.334 ± 0.310 3.173 ± 0.863 2.503 ± 1.245 3.294 ± 3.186 3.112 ± 2.566
102 p-Methoxyanisole 19:34.2 00:01.2 MS, LRI 1751 1752 1.309 0.153 ± 0.041 0.184 ± 0.074 0.141 ± 0.044 0.197 ± 0.052 0.191 ± 0.075
103 Benzeneacetic acid 32:45.2 00:00.8 MS, LRI >2100 2519 1.243 0.002 ± 0.000 0.005 ± 0.005 0.008 ± 0.007 0.004 ± 0.007 0.009 ± 0.013
104 Benzyl alcohol 22:01.0 00:00.9 S, MS, LRI 1881 1877 1.243 0.914 ± 1.413 2.007 ± 2.953 0.468 ± 0.243 0.354 ± 0.079 0.565 ± 0.297
105 2-Hydroxybenzeneacetic acid 23:11.0 00:01.0 MS 1943 - 1.238 0.003 ± 0.008 0.008 ± 0.004 0.003 ± 0.003 0.005 ± 0.001 0.005 ± 0.002
106 2-Ethyl-m-xylene 11:58.5 00:01.6 MS, LRI 1373 1372 1.224 0.106 ± 0.064 0.112 ± 0.059 0.082 ± 0.043 0.094 ± 0.040 0.040 ± 0.035
107 Benzaldehyde 15:16.8 00:05.8 S, MS, LRI 1514 1509 1.094 1.935 ± 0.978 4.662 ± 6.475 1.479 ± 0.377 2.161 ± 0.535 2.934 ± 2.144
108 2-(1,1-Dimethylethyl)-1,4-dimethoxybenzene 22:29.0 00:01.4 MS, LRI 1906 1870 0.996 0.069 ± 0.010 0.061 ± 0.014 0.066 ± 0.017 0.075 ± 0.021 0.051 ± 0.044
109 trans-1,2-Diphenylcyclobutane 20:58.0 00:01.3 MS 1825 - 0.674 0.003 ± 0.002 0.003 ± 0.002 0.004 ± 0.007 0.002 ± 0.003 0.000 ± 0.000
110 3,3-Dimethoxy-1-phenylpropan-1-one 09:56.8 00:05.6 MS 1278 - 0.569 0.037 ± 0.032 0.048 ± 0.054 0.052 ± 0.059 0.025 ± 0.027 0.062 ± 0.031
111 trans-Anethole 21:12.0 00:01.3 S, MS, LRI 1837 1834 0.502 0.423 ± 0.223 0.449 ± 0.199 0.390 ± 0.213 0.395 ± 0.309 0.613 ± 0.344
112 cis-Anethole 19:55.0 00:01.3 S, MS, LRI 1769 1780 0.322 0.013 ± 0.005 0.015 ± 0.007 0.014 ± 0.004 0.014 ± 0.007 0.017 ± 0.010
113 1,2-Dimethylbenzene 07:41.0 00:05.1 MS, LRI 1176 1175 0.176 0.468 ± 0.333 0.412 ± 0.402 0.503 ± 0.355 0.356 ± 0.312 0.432 ± 0.375
Hydrocarbons
114 Pentadecane 14:54.0 00:02.7 S, MS, LRI 1496 1500 1.699 0.251 ± 0.055 0.195 ± 0.066 0.222 ± 0.104 0.205 ± 0.034 0.140 ± 0.045
115 2,3,3-Trimethyl-cis-4-nonene 10:42.0 00:01.6 MS 1313 - 1.585 0.078 ± 0.095 0.052 ± 0.034 0.031 ± 0.008 0.016 ± 0.009 0.026 ± 0.031
116 Hexadecane 17:00.0 00:02.7 S, MS, LRI 1600 1600 1.332 0.170 ± 0.025 0.140 ± 0.051 0.162 ± 0.082 0.134 ± 0.038 0.100 ± 0.031
117 cis,trans-1,3,5-Octatriene 08:08.4 00:00.7 MS 1196 - 1.087 0.376 ± 0.146 0.364 ± 0.125 0.315 ± 0.140 0.245 ± 0.137 0.329 ± 0.029
118 2,6,8-Trimethyl-trans-4-nonene 11:13.5 00:02.5 MS 1338 - 0.464 0.048 ± 0.083 0.029 ± 0.052 0.019 ± 0.039 0.032 ± 0.043 0.002 ± 0.002
Aldehydes
119 Decanal 14:54.0 00:01.5 S, MS, LRI 1496 1497 3.149 0.068 ± 0.041 a 0.068 ± 0.035 a 0.051 ± 0.040 ab 0.014 ±0.011 b 0.060 ± 0.008 ab
120 trans-2-Decenal 17:49.0 00:01.4 MS, LRI 1651 1647 2.553 0.116 ± 0.030 0.131 ± 0.043 0.109 ± 0.030 0.071 ± 0.034 0.094 ± 0.065
121 trans-2-Octenal 13:25.3 00:01.3 S, MS, LRI 1435 1432 2.307 0.249 ± 0.301 0.017 ± 0.023 0.120 ± 0.038 0.105 ± 0.092 0.021 ± 0.020
122 Undecanal 17:07.0 00:01.5 S, MS, LRI 1607 1606 1.967 0.061 ± 0.020 0.053 ± 0.016 0.040 ± 0.010 0.041 ± 0.010 0.051 ± 0.031
123 Dodecanal 19:06.0 00:01.6 MS, LRI 1727 1722 1.471 0.066 ± 0.015 0.062 ± 0.019 0.050 ± 0.014 0.056 ± 0.022 0.043 ± 0.011
124 3,3-Dimethyl-2-oxobutanal 11:24.8 00:01.9 MS 1347 - 0.279 0.108 ± 0.091 0.158 ± 0.178 0.106 ± 0.104 0.226 ± 0.522 0.078 ± 0.082
125 Nonanal 12:40.6 00:01.5 S, MS, LRI 1405 1404 0.206 10.699 ± 7.689 12.183 ± 7.410 11.470 ± 8.481 8.722 ± 6.668 10.800 ± 6.868
Ketones
126 1,4,7,10,13-Pentaoxacyclononadecane-14,19-dione 27:35.0 00:01.3 MS >2100 - 9.721 0.027 ± 0.038 b 0.013 ± 0.014 b 0.005 ± 0.003 b 0.022 ± 0.020 b 0.107 ± 0.038 a
127 α-Isophorone 16:46.0 00:01.3 S, MS, LRI 1588 1593 7.380 0.116 ± 0.022 a 0.101 ± 0.032 a 0.047 ± 0.024 b 0.093 ± 0.021 a 0.093 ± 0.029 a
128 Cyclohexylideneacetone 17:35.0 00:01.8 MS 1637 - 6.967 0.097 ± 0.097 c 0.671 ± 0.428 b 0.424 ± 0.259 bc 0.546 ± 0.254 b 1.194 ± 0.691 a
129 Acetophenone 17:56.0 00:01.1 S, MS, LRI 1659 1660 6.036 0.297 ± 0.048 cd 0.557 ± 0.116 a 0.415 ± 0.107 bc 0.271 ± 0.078 d 0.487 ± 0.348 ab
130 2-Undecanone 16:53.4 00:01.5 MS, LRI 1594 1598 4.027 0.755 ± 0.471 a 0.320 ± 0.097 b 0.294 ± 0.104 b 0.347 ± 0.246 b 0.215 ± 0.162 b
131 4,4-(Ethylenedioxy)-2-pentanone 19:20.0 00:01.1 MS 1739 - 3.787 0.166 ± 0.053 ab 0.245 ± 0.111 a 0.145 ± 0.089 b 0.102 ± 0.020 b 0.102 ± 0.067 b
132 Unsaturated diketone
(n.i.; m/z 43, 99, 71)
14:26.0 00:01.1 MS 1477 - 3.213 0.137 ± 0.151 b 0.361 ± 0.123 a 0.269 ± 0.095 ab 0.170 ± 0.174 b 0.150 ± 0.114 b
133 3-Undecanone 16:20.3 00:01.6 MS, LRI 1567 1571 3.176 0.455 ± 0.440 a 0.075 ± 0.051 b 0.081 ± 0.040 b 0.123 ± 0.265 b 0.025 ± 0.021 b
134 3-Tridecanone 20:16.0 00:01.7 MS, LRI 1787 1755 3.120 0.036 ± 0.023 a 0.010 ± 0.008 b 0.008 ± 0.009 b 0.018 ± 0.026 ab 0.006 ± 0.005 b
135 1b,5,5,6a-Tetramethyl-octahydro-1-oxa-cyclopropa[a]inden-6-one 18:31.0 00:02.1 MS 1695 - 2.570 0.016 ± 0.019 0.042 ± 0.038 0.047 ± 0.054 0.088 ± 0.068 0.123 ± 0.138
136 3-(Acetoxy)-4-methyl-2-pentanone 14:07.3 00:01.3 MS 1464 - 2.528 0.012 ± 0.021 0.055 ± 0.055 0.073 ± 0.057 0.025 ± 0.025 0.031 ± 0.027
137 trans-5-Methyl-2-(1-methylethyl)-cyclohexanone 14:08.1 00:01.6 MS, LRI 1464 1473 2.282 0.041 ± 0.045 0.312 ± 0.657 0.077 ± 0.050 0.058 ± 0.030 1.167 ± 1.900
138 4-(1,1-Dimethylethyl)-cyclohexanone 17:35.0 00:01.5 MS, LRI 1637 1645 2.032 0.057 ± 0.095 0.124 ± 0.122 0.025 ± 0.033 0.011 ± 0.011 0.092 ± 0.125
139 1-Phenyl-1-propanone 19:20.2 00:01.2 MS, LRI 1739 1744 1.745 0.019 ± 0.018 0.030 ± 0.013 0.015 ± 0.007 0.015 ± 0.004 0.021 ± 0.005
140 2-Nonanone 12:34.0 00:01.4 S, MS, LRI 1401 1402 1.689 10.162 ± 9.346 4.449 ± 3.737 6.475 ± 7.123 3.195 ± 1.103 2.225 ± 2.037
141 2H-Pyran-2,6(3H)-dione 24:10.5 00:00.8 MS 1995 - 1.599 0.485 ± 0.190 0.661 ± 0.326 0.564 ± 0.226 0.397 ± 0.138 0.394 ± 0.069
142 2-Heptanone 07:46.5 00:05.2 S, MS, LRI 1180 1180 1.445 0.692 ± 0.406 0.605 ± 0.416 1.117 ± 1.197 0.301 ± 0.265 0.502 ± 0.401
143 2,2-Dimethyl-1,3-dioxane-4,6-dione 18:17.0 00:01.1 MS 1681 - 1.167 0.032 ± 0.014 0.022 ± 0.021 0.037 ± 0.010 0.035 ± 0.006 0.026 ± 0.023
144 2-Decanone 14:47.0 00:01.5 MS, LRI 1491 1491 0.990 0.502 ± 0.298 0.457 ± 0.128 0.377 ± 0.175 0.432 ± 0.159 0.255 ± 0.107
145 Acetoin 10:07.9 00:00.8 S, MS, LRI 1287 1287 0.732 0.054 ± 0.017 0.071 ± 0.048 0.061 ± 0.026 0.093 ± 0.083 0.058 ± 0.024
146 2,6-Di(tert-butyl)-4-hydroxy-4-methyl-2,5-cyclohexadien-1-one 25:45.0 00:01.1 MS, LRI 2077 2094 0.694 0.009 ± 0.003 0.010 ± 0.006 0.010 ± 0.007 0.014 ± 0.011 0.013 ± 0.008
147 2-Cyclohexene-1,4-dione 19:33.7 00:01.0 MS 1751 - 0.669 0.006 ± 0.010 0.027 ± 0.031 0.093 ± 0.214 0.031 ± 0.060 0.055 ± 0.078
148 3,4-Dihydroxy-cyclobutene-1,2-dione 18:10.0 00:01.1 MS 1673 - 0.409 0.089 ± 0.031 0.075 ± 0.037 0.060 ± 0.053 0.078 ± 0.059 0.073 ± 0.022
149 5-Methyl-5-hepten-2-one 11:24.0 00:01.3 MS, LRI 1346 1343 0.215 0.147 ± 0.160 0.113 ± 0.085 0.125 ± 0.023 0.116 ± 0.112 0.170 ± 0.130
Alcohols
150 4-Methyl-1-heptanol 12:42.1 00:01.6 MS, LRI 1406 1409 23.056 0.313 ± 0.161 b 0.115 ± 0.060 c 0.056 ± 0.047 c 0.033 ± 0.031 c 0.638 ± 0.209 a
151 cis-3-Hexen-1-ol 12:20.0 00:00.9 S, MS, LRI 1390 1386 15.611 7.191 ± 2.621 c 15.988 ± 3.409 a 11.216 ± 4.880 b 3.383 ± 0.607 d 5.727 ± 3.198 cd
152 2-Heptanol 10:56.0 00:01.0 S, MS, LRI 1324 1320 7.290 0.943 ± 0.327 bc 1.984 ± 0.923 a 1.044 ± 0.321 bc 0.601 ± 0.251 c 1.571 ± 0.480 ab
153 2-Penten-1-ol 10:56.2 00:00.8 MS, LRI 1324 1321 5.588 0.044 ± 0.021 a 0.045 ± 0.014 a 0.044 ± 0.017 a 0.012 ± 0.002 b 0.040 ± 0.012 a
154 3-Octanol 12:36.4 00:01.1 MS, LRI 1402 1406 5.108 0.082 ± 0.068 b 0.185 ± 0.070 a 0.062 ± 0.053 b 0.072 ± 0.050 b 0.054 ± 0.054 b
155 1-Undecanol 21:49.4 00:01.1 MS, LRI 1871 1883 5.052 0.004 ± 0.006 b 0.023 ± 0.015 a 0.007 ± 0.012 b 0.022 ± 0.010 a 0.022 ± 0.007 a
156 Alcohol (n.i.; m/z 69, 41, 84) 15:02.3 00:01.0 MS 1501 - 4.278 0.491 ± 0.778 bc 0.848 ± 0.393 ab 1.178 ± 0.637 a 0.192 ± 0.081 c 0.079 ± 0.036 c
157 1-Octen-3-ol 13:51.0 00:01.0 S, MS, LRI 1453 1452 3.832 3.494 ± 2.869 b 5.797 ± 1.668 a 2.467 ± 0.654 b 2.597 ± 1.254 b 3.015 ± 1.251 b
158 2-Decanol 17:20.3 00:01.1 MS, LRI 1621 1621 3.058 0.023 ± 0.011 b 0.047 ± 0.025 b 0.021 ± 0.015 b 0.024 ± 0.013 b 0.212 ± 0.318 a
159 2,3-Butanediol II 16:25.2 00:00.8 S, MS, LRI 1571 1567 2.708 1.964 ± 0.450 2.601 ± 0.580 2.586 ± 1.276 1.421 ± 0.780 2.007 ± 0.180
160 4-Hepten-1-ol 14:54.5 00:00.9 MS, LRI 1496 1502 2.635 0.105 ± 0.065 0.093 ± 0.090 0.125 ± 0.060 0.044 ± 0.025 0.172 ± 0.057
161 6-Methyl-5-hepten-2-ol 14:05.8 00:01.0 S, MS, LRI 1463 1466 2.465 0.034 ± 0.006 0.050 ± 0.015 0.042 ± 0.013 0.037 ± 0.011 0.030 ± 0.012
162 3-Methyl-1-pentanol 11:03.7 00:00.9 S, MS, LRI 1330 1332 2.387 5.790 ± 1.421 5.799 ± 1.504 6.404 ± 2.937 3.575 ± 1.820 4.453 ± 0.203
163 2,3-Butanediol I 15:36.0 00:02.1 S, MS, LRI 1530 1542 2.291 3.399 ± 1.779 4.339 ± 1.812 3.931 ± 2.279 1.744 ± 1.027 3.597 ± 0.875
164 Alcohol (n.i.; m/z 45, 55, 43) 14:17.6 00:01.0 MS 1471 - 2.157 0.137 ± 0.120 0.012 ± 0.022 0.096 ± 0.114 0.093 ± 0.042 0.054 ± 0.043
165 1-Decanol 20:02.0 00:01.1 S, MS, LRI 1775 1778 2.086 0.710 ± 0.219 0.625 ± 0.100 0.597 ± 0.138 0.812 ± 0.097 0.642 ± 0.209
166 3,5-Dimethyl-4-heptanol 19:35.2 00:00.8 MS 1752 - 2.033 0.043 ± 0.031 0.104 ± 0.063 0.098 ± 0.058 0.053 ± 0.056 0.068 ± 0.002
167 2-Ethylhexanol 14:40.0 00:01.0 MS, LRI 1486 1484 1.756 4.569 ± 0.735 4.664 ± 0.537 4.826 ± 0.481 4.169 ± 0.465 4.122 ± 0.201
168 8-Methyl-1,8-nonanediol 10:56.2 00:01.1 MS 1324 - 1.454 0.123 ± 0.079 0.199 ± 0.084 0.223 ± 0.122 0.206 ± 0.084 0.133 ± 0.116
169 3,4-Nonadienol 19:48.0 00:01.0 MS, LRI 1763 1754 1.445 0.017 ± 0.025 0.016 ± 0.013 0.007 ± 0.005 0.003 ± 0.002 0.005 ± 0.001
170 1-Pentanol 08:53.5 00:00.5 S, MS, LRI 1231 1242 1.272 0.082 ± 0.091 0.135 ± 0.100 0.112 ± 0.076 0.058 ± 0.060 0.039 ± 0.014
171 3-Ethyl-4-octanol 18:24.9 00:01.3 MS 1689 - 1.225 0.364 ± 0.208 0.304 ± 0.189 0.479 ± 0.198 0.471 ± 0.108 0.331 ± 0.229
172 2-Octen-1-ol 17:14.0 00:01.0 S, MS, LRI 1615 1622 1.115 0.151 ± 0.206 0.114 ± 0.060 0.077 ± 0.033 0.041 ± 0.015 0.057 ± 0.020
173 2-Undecanol 19:13.0 00:01.2 MS, LRI 1733 1738 0.841 0.173 ± 0.218 0.330 ± 0.184 0.226 ± 0.137 0.241 ± 0.094 0.278 ± 0.205
174 4-Methyl-1-pentanol 10:49.0 00:00.9 MS, LRI 1319 1319 0.819 2.297 ± 1.083 2.626 ± 0.800 3.318 ± 2.010 2.130 ± 2.101 1.782 ± 0.130
175 4-Ethyl-3-octanol 15:08.0 00:01.2 MS 1506 - 0.721 0.400 ± 0.059 0.374 ± 0.067 0.430 ± 0.232 0.389 ± 0.202 0.245 ± 0.213
176 2-Nonanol 15:15.0 00:01.1 S, MS, LRI 1512 1518 0.715 0.512 ± 0.187 0.581 ± 0.344 0.429 ± 0.127 0.398 ± 0.169 0.468 ± 0.272
177 1-Nonanol 18:03.3 00:01.0 S, MS, LRI 1666 1661 0.580 1.420 ± 1.635 0.776 ± 0.538 2.515 ± 3.679 1.557 ± 2.268 1.018 ± 1.218
178 1-Heptanol 13:58.2 00:00.9 S, MS, LRI 1458 1457 0.560 1.238 ± 0.721 1.394 ± 0.657 1.120 ± 0.904 0.875 ± 0.381 1.183 ± 0.341
179 2-Methyl-1-pentanol 10:28.5 00:00.9 S, MS, LRI 1303 1297 0.229 0.262 ± 0.326 0.200 ± 0.248 0.323 ± 0.434 0.312 ± 0.145 0.199 ± 0.124
180 trans-4-tert-Butylcyclohexanol 19:43.3 00:01.1 MS, LRI 1759 1730 0.189 0.136 ± 0.326 0.149 ± 0.283 0.267 ± 0.447 0.204 ± 0.181 0.216 ± 0.332
181 2-Octanol (internal standard) 13:09.0 00:01.0 S, MS, LRI 1424 1418 40.000 ± 0.000 40.000 ± 0.000 40.000 ± 0.000 40.000 ± 0.000 40.000 ± 0.000
Acids
182 Propionic acid 15:43.0 00:00.7 S, MS, LRI 1536 1540 4.365 1.294 ± 0.324 ab 1.631 ± 0.472 a 1.159 ± 0.294 b 0.946 ± 0.158 b 0.991 ± 0.348 b
183 Acid (n.i.; m/z 74, 45, 73) 14:33.0 00:01.1 MS, LRI 1481 1491 4.041 0.018 ± 0.015 b 0.038 ± 0.020 a 0.016 ± 0.013 b 0.009 ± 0.006 b 0.013 ± 0.008 b
184 trans-2-Hexenoic acid 23:39.0 00:00.8 MS, LRI 1967 1967 3.651 0.081 ± 0.047 b 0.205 ± 0.094 a 0.159 ± 0.107 ab 0.083 ± 0.045 b 0.266 ± 0.213 a
185 Nonanoic acid 26:51.5 00:00.8 S, MS, LRI >2100 2119 3.641 0.096 ± 0.049 b 0.169 ± 0.095 b 0.094 ± 0.043 b 0.166 ± 0.156 b 0.313 ± 0.078 a
186 trans-3-Hexenoic acid 22:49.8 00:00.8 MS, LRI 1924 1929 3.190 0.031 ± 0.033 a 0.006 ± 0.005 b 0.007 ± 0.003 b 0.005 ± 0.003 b 0.011 ± 0.005 ab
187 Formic acid 15:10.4 00:00.7 MS, LRI 1508 1501 2.526 1.442 ± 0.465 2.092 ± 0.849 1.523 ± 0.393 1.176 ± 0.507 1.306 ± 0.515
188 3,5,5-Trimethylhexanoic acid 23:46.0 00:00.8 MS 1973 - 2.194 0.330 ± 0.053 0.347 ± 0.115 0.370 ± 0.113 0.437 ± 0.094 0.479 ± 0.101
189 2-Propenoic acid 17:42.7 00:00.7 MS 1645 - 2.118 0.245 ± 0.073 0.262 ± 0.101 0.266 ± 0.042 0.214 ± 0.039 0.146 ± 0.055
190 Heptanoic acid 23:22.2 00:00.8 S, MS, LRI 1953 1955 1.423 0.071 ± 0.022 0.075 ± 0.044 0.083 ± 0.076 0.060 ± 0.021 0.152 ± 0.139
191 2-Decenoic acid 15:43.7 00:00.8 MS, LRI 1536 1540 1.289 0.021 ± 0.022 0.012 ± 0.024 0.005 ± 0.010 0.025 ± 0.011 0.022 ± 0.025
192 Pentanoic acid 19:34.0 00:00.8 S, MS, LRI 1751 1751 1.006 0.408 ± 0.074 0.490 ± 0.147 0.395 ± 0.074 0.394 ± 0.063 0.513 ± 0.338
193 Isobutyric acid 16:18.0 00:00.7 S, MS, LRI 1565 1555 0.832 3.347 ± 0.988 4.725 ± 1.518 4.212 ± 2.107 3.795 ± 1.757 3.200 ± 2.305
194 trans,trans-2,4-Hexadienoic acid 26:51.6 00:00.8 MS, LRI >2100 2150 0.753 0.188 ± 0.145 0.053 ± 0.066 18.360 ± 48.172 4.350 ± 10.563 2.236 ± 3.744
195 Isovaleric acid 18:18.8 00:00.7 S, MS, LRI 1683 1680 0.745 5.833 ± 1.482 3.926 ± 3.916 5.923 ± 2.842 6.130 ± 2.208 5.222 ± 2.990
196 2-Ethylhexanoic acid 23:18.0 00:00.8 MS, LRI 1949 1960 0.568 0.602 ± 1.256 0.232 ± 0.224 0.312 ± 0.271 0.144 ± 0.061 0.151 ± 0.019
197 Butyric acid 17:28.0 00:00.7 S, MS, LRI 1629 1626 0.546 18.241 ± 2.608 19.305 ± 5.118 17.622 ± 2.372 16.638 ± 0.905 18.144 ± 6.443
Esters
198 Methyl octanoate 12:34.0 00:01.5 MS, LRI 1401 1404 12.568 51.242 ± 14.675 a 14.588 ± 8.497 b 25.349 ± 13.750 b 21.407 ± 4.375 b 12.261 ± 13.962 b
199 cis-3-Hexen-1-yl acetate 10:56.0 00:01.3 MS, LRI 1324 1300 12.068 20.041 ± 8.968 b 39.339 ± 11.050 a 22.891 ± 14.489 b 6.372 ± 2.659 c 4.576 ± 3.341 c
200 Methyl hexanoate 07:51.1 00:05.4 S, MS, LRI 1183 1188 10.455 6.240 ± 2.416 a 2.417 ± 1.319 b 3.001 ± 1.098 b 2.216 ± 0.469 b 1.222 ± 1.089 b
201 Butyl hexanoate 13:05.2 00:01.7 S, MS, LRI 1422 1428 10.423 0.059 ± 0.026 a 0.015 ± 0.014 b 0.017 ± 0.016 b 0.015 ± 0.008 b 0.008 ± 0.007 b
202 Isoamyl hexanoate 14:05.0 00:01.8 S, MS, LRI 1462 1458 9.888 7.130 ± 1.573 a 1.804 ± 1.100 c 3.941 ± 3.105 b 3.323 ± 0.756 bc 1.537 ± 1.597 c
203 Ethyl 3-nonenoate 16:44.2 00:01.6 MS 1587 - 7.481 0.067 ± 0.040 a 0.021 ± 0.020 b 0.011 ± 0.005 b 0.017 ± 0.015 b 0.006 ± 0.007 b
204 Hexanodibutyrin 12:20.0 00:01.7 MS 1390 - 7.472 0.444 ± 0.181 a 0.571 ± 0.245 a 0.180 ± 0.173 b 0.179 ± 0.103 b 0.705 ± 0.336 a
205 Methyl decanoate 16:53.0 00:01.6 MS, LRI 1594 1593 7.131 1.375 ± 0.608 a 0.552 ± 0.226 b 0.741 ± 0.248 b 0.599 ± 0.132 b 0.426 ± 0.345 b
206 Phenethyl formate 20:29.8 00:01.1 MS, LRI 1799 1806 6.718 0.088 ± 0.035 c 0.211 ± 0.070 a 0.156 ± 0.046 b 0.119 ± 0.043 bc 0.112 ± 0.032 bc
207 Ethyl trans-4-octenoate 15:15.0 00:01.5 MS 1512 - 6.256 0.031 ± 0.003 a 0.017 ± 0.009 b 0.023 ± 0.006 b 0.016 ± 0.007 b 0.017 ± 0.006 b
208 Ethyl methyl succinate 17:36.4 00:01.1 MS, LRI 1638 1631 6.026 0.347 ± 0.156 a 0.306 ± 0.126 a 0.242 ± 0.078 a 0.079 ± 0.067 b 0.254 ± 0.070 a
209 Octyl formate 16:04.2 00:01.0 MS, LRI 1553 1560 5.909 6.604 ± 0.947 b 6.267 ± 1.160 b 6.531 ± 1.465 b 9.177 ± 1.345 a 6.050 ± 2.280 b
210 trans-3-Hexen-1-yl acetate 10:42.0 00:01.3 MS, LRI 1313 1316 5.675 20.322 ± 7.276 a 10.073 ± 8.187 b 5.922 ± 3.176 b 10.530 ± 4.255 b 7.388 ± 8.444 b
211 Ethyl hexadecanoate 30:13.7 00:01.5 MS, LRI >2100 2261 5.586 0.560 ± 0.414 a 0.051 ± 0.082 b 0.119 ± 0.222 b 0.091 ± 0.149 b 0.052 ± 0.064 b
212 Ethyl 2-hydroxy-4-methylpentanoate 15:49.3 00:01.0 MS 1541 - 5.543 0.380 ± 0.161 c 0.829 ± 0.571 bc 1.875 ± 0.999 a 1.625 ± 1.112 ab 0.266 ± 0.231 c
213 2-Phenylethyl isobutyrate 22:45.7 00:01.1 MS, LRI 1921 1916 5.419 3.788 ± 1.880 a 1.824 ± 1.708 b 1.421 ± 1.243 b 0.816 ± 0.397 b 0.769 ± 0.245 b
214 Propyl hexanoate 10:56.2 00:01.7 MS, LRI 1324 1319 4.982 0.760 ± 0.330 a 0.339 ± 0.286 b 0.286 ± 0.227 b 0.379 ± 0.143 b 0.170 ± 0.180 b
215 Diethyl glutarate 20:23.0 00:01.2 MS, LRI 1793 1780 4.706 0.028 ± 0.012 c 0.105 ± 0.061 a 0.064 ± 0.043 bc 0.059 ± 0.013 bc 0.092 ± 0.020 ab
216 3-Ethoxypropyl acetate 11:52.0 00:01.2 MS 1368 - 4.423 0.754 ± 0.514 b 2.176 ± 1.442 a 0.638 ± 0.941 b 0.442 ± 0.365 b 0.454 ± 0.707 b
217 Isoamyl octanoate 18:06.1 00:01.9 MS, LRI 1669 1657 4.033 4.133 ± 0.747 a 2.340 ± 0.822 b 3.155 ± 1.362 ab 3.789 ± 0.950 a 2.125 ± 1.656 b
218 Ethyl heptanoate 11:17.0 00:01.6 MS, LRI 1341 1342 3.762 3.007 ± 1.131 a 1.591 ± 1.355 b 1.701 ± 0.709 b 1.498 ± 0.355 b 0.938 ± 1.126 b
219 Ethyl pyruvate 09:53.4 00:01.0 MS, LRI 1276 1276 3.717 1.711 ± 0.693 b 3.025 ± 0.908 a 1.931 ± 1.095 b 1.496 ± 0.650 b 1.685 ± 0.421 b
220 Isoamyl decanoate 21:58.0 00:01.9 MS, LRI 1879 1871 3.685 0.039 ± 0.093 b 0.191 ± 0.114 ab 0.180 ± 0.153 ab 0.239 ± 0.042 ab 0.178 ± 0.115 ab
221 Propyl octanoate 15:22.0 00:01.8 MS, LRI 1518 1504 3.637 0.893 ± 0.277 a 0.428 ± 0.431 b 0.384 ± 0.269 b 0.577 ± 0.297 ab 0.270 ± 0.261 b
222 Ethyl 4-pyrazolecarboxylate 14:33.0 00:01.1 MS 1481 - 3.291 0.016 ± 0.002 b 0.026 ± 0.011 a 0.014 ± 0.010 b 0.012 ± 0.008 b 0.010 ± 0.009 b
223 Methyl 2-methyllactate 16:39.0 00:01.2 MS 1582 - 3.049 0.116 ± 0.015 a 0.088 ± 0.013 bc 0.102 ± 0.017 ab 0.109 ± 0.024 ab 0.068 ± 0.059 c
224 3-Hydroxy-2,4,4-trimethylpentyl isobutyrate 21:54.7 00:01.2 MS 1876 - 3.046 0.089 ± 0.019 b 0.191 ± 0.051 a 0.124 ± 0.108 b 0.104 ± 0.035 b 0.112 ± 0.044 b
225 Isobutyl hexanoate 11:45.0 00:01.8 MS, LRI 1362 1357 2.919 1.039 ± 0.567 a 0.392 ± 0.297 b 0.767 ± 0.580 ab 0.595 ± 0.202 ab 0.259 ± 0.272 b
226 Hydroxyl acid ester
(n.i.; m/z 143, 115, 75)
17:49.0 00:01.3 MS 1651 - 2.680 0.005 ± 0.005 0.012 ± 0.005 0.009 ± 0.006 0.007 ± 0.004 0.014 ± 0.005
227 Ethyl 4-hydroxybutyrate 20:47.7 00:00.9 MS, LRI 1815 1819 2.518 0.955 ± 0.717 1.134 ± 0.677 1.141 ± 0.695 0.315 ± 0.171 0.536 ± 0.197
228 Octyl acetate 14:24.4 00:01.5 MS, LRI 1475 1475 2.454 0.408 ± 0.857 1.601 ± 1.141 1.423 ± 1.416 3.153 ± 1.639 6.579 ± 10.545
229 3-Methyl-3-buten-1-yl acetate 08:07.8 00:01.2 MS, LRI 1196 1190 2.448 0.072 ± 0.037 0.066 ± 0.036 0.032 ± 0.028 0.049 ± 0.021 0.025 ± 0.026
230 Ethyl 2-octenoate 16:04.0 00:01.5 MS, LRI 1553 1557 2.386 0.031 ± 0.005 0.027 ± 0.009 0.024 ± 0.008 0.019 ± 0.003 0.027 ± 0.015
231 Ethyl undecanoate 18:45.2 00:01.0 MS, LRI 1709 1725 2.352 0.539 ± 0.749 0.198 ± 0.111 0.319 ± 0.391 1.006 ± 0.777 0.166 ± 0.169
232 Pentyl acetate 07:36.1 00:01.3 S, MS, LRI 1172 1161 2.334 0.123 ± 0.199 0.088 ± 0.204 0.037 ± 0.056 0.282 ± 0.174 0.053 ± 0.057
233 Isobutyl octanoate 15:57.7 00:01.9 MS, LRI 1548 1551 2.226 0.217 ± 0.071 0.119 ± 0.083 0.185 ± 0.114 0.213 ± 0.109 0.074 ± 0.069
234 Ethyl 4-hexenoate 10:21.3 00:01.4 MS, LRI 1297 1292 2.211 7.705 ± 10.236 2.044 ± 1.364 1.287 ± 0.650 0.784 ± 0.458 1.363 ± 1.374
235 Ethyl trans-2-butenoate 07:19.0 00:05.0 MS, LRI 1159 1161 2.127 8.551 ± 4.382 5.204 ± 3.185 7.463 ± 2.841 4.376 ± 2.710 4.293 ± 2.995
236 trans,trans-2,4-Octadien-1-yl acetate 16:18.0 00:01.4 MS 1565 - 1.956 0.017 ± 0.017 0.024 ± 0.018 0.006 ± 0.010 0.007 ± 0.009 0.017 ± 0.017
237 2-Phenylethyl octanoate 32:17.5 00:01.3 MS, LRI >2100 2373 1.762 0.032 ± 0.036 0.006 ± 0.005 0.009 ± 0.004 0.024 ± 0.030 0.004 ± 0.004
238 Isoamyl butyrate 09:45.8 00:01.7 S, MS, LRI 1270 1266 1.756 2.573 ± 0.919 2.131 ± 0.957 2.055 ± 0.892 1.912 ± 0.358 1.089 ± 1.161
239 Di-isobutyl acetate 20:02.0 00:01.2 MS 1775 - 1.724 0.206 ± 0.065 0.243 ± 0.211 0.139 ± 0.106 0.112 ± 0.037 0.094 ± 0.032
240 3-Methylheptyl acetate 12:26.5 00:01.6 MS 1395 - 1.665 0.367 ± 0.347 0.236 ± 0.216 0.182 ± 0.086 0.112 ± 0.050 0.124 ± 0.077
241 Diethyl malonate 16:32.0 00:01.1 MS, LRI 1577 1574 1.648 0.174 ± 0.052 0.188 ± 0.079 0.148 ± 0.050 0.126 ± 0.033 0.197 ± 0.034
242 Heptyl acetate 12:13.4 00:01.5 MS, LRI 1385 1385 1.487 0.236 ± 0.133 0.249 ± 0.179 0.151 ± 0.091 0.120 ± 0.044 0.143 ± 0.145
243 Ethyl hydrogen succinate 30:16.2 00:00.8 MS, LRI >2100 2350 1.443 3.279 ± 0.920 7.386 ± 6.573 5.875 ± 1.785 4.985 ± 2.470 4.242 ± 1.226
244 Methyl 2-isopropoxypropanoate 20:30.0 00:01.3 MS 1799 - 1.288 0.030 ± 0.042 0.076 ± 0.036 0.061 ± 0.043 0.065 ± 0.045 0.053 ± 0.047
245 Vinyl decanoate 19:27.2 00:01.4 MS 1745 - 1.258 0.224 ± 0.357 0.086 ± 0.065 0.044 ± 0.038 0.038 ± 0.034 0.130 ± 0.062
246 Diethyl malate 25:29.4 00:00.9 MS, LRI 2063 2065 1.210 0.227 ± 0.144 0.462 ± 0.502 0.399 ± 0.220 0.360 ± 0.231 0.629 ± 0.235
247 trans-Penten-1-yl acetate 08:50.0 00:01.2 MS 1228 - 1.132 0.050 ± 0.049 0.039 ± 0.049 0.024 ± 0.031 0.011 ± 0.011 0.024 ± 0.023
248 Phenylmethyl acetate 19:27.0 00:01.2 MS, LRI 1745 1747 1.119 0.042 ± 0.026 0.211 ± 0.394 0.035 ± 0.018 0.046 ± 0.018 0.054 ± 0.021
249 Ethyl 3-hydroxybutyrate 15:15.5 00:00.9 MS, LRI 1512 1512 1.045 0.398 ± 0.278 0.407 ± 0.202 0.430 ± 0.195 0.233 ± 0.157 0.430 ± 0.093
250 Isoamyl propanoate 07:56.8 00:01.5 MS, LRI 1188 1188 1.017 0.638 ± 0.264 0.677 ± 0.436 0.740 ± 0.490 0.543 ± 0.341 0.250 ± 0.186
251 Ethyl hydroxyacetate 13:09.0 00:00.8 MS, LRI 1424 1436 0.987 0.032 ± 0.045 0.097 ± 0.079 0.058 ± 0.076 0.085 ± 0.144 0.163 ± 0.215
252 Ethyl nonanoate 15:43.0 00:01.7 MS, LRI 1536 1535 0.928 1.843 ± 0.503 0.984 ± 0.394 0.971 ± 0.345 2.321 ± 3.355 1.116 ± 0.807
253 2-(1,1-Dimethylethyl)-cyclohexen-1-yl acetate 16:11.0 00:01.8 MS 1559 - 0.848 0.046 ± 0.026 0.024 ± 0.015 0.045 ± 0.031 0.040 ± 0.032 0.034 ± 0.004
254 Ethyl 2-hydroxy-3-phenylpropanoate 29:11.1 00:01.0 MS, LRI >2100 2273 0.846 0.001 ± 0.001 0.001 ± 0.001 0.009 ± 0.019 0.007 ± 0.014 0.001 ± 0.000
255 Ethyl 3-methylbutylbutanedioate 22:29.7 00:01.3 MS, LRI 1907 1907 0.835 2.315 ± 0.806 3.353 ± 2.324 2.743 ± 1.814 2.843 ± 0.908 1.639 ± 0.545
256 Ethyl 9-decenoate 18:45.0 00:01.6 S, MS, LRI 1708 1708 0.801 0.133 ± 0.189 0.177 ± 0.227 0.280 ± 0.347 0.101 ± 0.086 0.067 ± 0.058
257 Ethyl 3-ethoxy-trans-2-propenoate 15:43.0 00:01.2 MS 1536 - 0.785 1.418 ± 0.096 1.363 ± 0.205 1.480 ± 0.136 1.542 ± 0.317 1.360 ± 0.353
258 Butyl ethyl succinate 20:37.0 00:01.3 MS, LRI 1806 1820 0.776 0.245 ± 0.112 0.295 ± 0.195 0.294 ± 0.182 0.220 ± 0.139 0.136 ± 0.063
259 Ethyl 2,4-hexadienoate I 14:35.0 00:01.3 MS, LRI 1483 1501 0.673 0.033 ± 0.034 0.019 ± 0.011 0.869 ± 2.269 0.343 ± 0.855 0.097 ± 0.153
260 Ethyl 2,4-hexadienoate II 15:08.0 00:01.3 MS, LRI 1506 1501 0.645 0.290 ± 0.328 0.038 ± 0.016 6.200 ± 16.289 3.473 ± 8.685 0.353 ± 0.515
261 Isobutyl acetate 04:23.8 00:04.7 S, MS, LRI 1015 1009 0.531 0.726 ± 0.371 0.774 ± 0.280 0.728 ± 0.435 0.534 ± 0.175 0.658 ± 0.405
262 2-Phenylethyl isovalerate 24:00.0 00:01.4 MS, LRI 1985 1988 0.530 0.015 ± 0.012 0.014 ± 0.014 0.013 ± 0.010 0.020 ± 0.006 0.011 ± 0.010
263 Methyl 2-hydroxybutanoate 11:45.0 00:01.1 MS, LRI 1362 1382 0.529 0.274 ± 0.056 0.217 ± 0.155 0.208 ± 0.156 0.280 ± 0.040 0.225 ± 0.197
264 Isopropyl lactate 15:36.0 00:01.6 MS 1530 - 0.512 0.032 ± 0.007 0.027 ± 0.004 0.029 ± 0.016 0.026 ± 0.007 0.023 ± 0.024
265 Ethyl cis-4-decenoate 18:17.4 00:01.6 MS, LRI 1681 1680 0.510 0.017 ± 0.019 0.012 ± 0.010 0.008 ± 0.014 0.015 ± 0.011 0.011 ± 0.009
266 Ethyl cis-4-octenoate 14:39.6 00:01.5 MS 1486 - 0.503 0.127 ± 0.073 0.094 ± 0.054 0.123 ± 0.053 0.098 ± 0.015 0.101 ± 0.094
267 Ethyl 2-hexenoate 11:31.7 00:01.5 S, MS, LRI 1352 1357 0.469 1.626 ± 0.984 1.864 ± 0.759 2.107 ± 1.213 1.408 ± 0.806 1.721 ± 1.542
268 Isoamyl lactate 16:18.0 00:01.0 MS, LRI 1565 1572 0.376 0.449 ± 0.304 0.829 ± 1.062 0.597 ± 0.380 0.703 ± 0.581 0.596 ± 0.341
269 Ethyl 2-propynoate 09:11.0 00:01.8 MS 1244 - 0.368 4.550 ± 1.065 4.324 ± 1.444 4.768 ± 1.504 4.322 ± 1.565 3.562 ± 2.475
270 Diethyl fumarate 17:56.0 00:01.2 MS, LRI 1659 1660 0.155 0.055 ± 0.027 0.047 ± 0.018 0.048 ± 0.031 0.050 ± 0.014 0.045 ± 0.014
Volatile phenols
271 2-Methoxyphenol 21:47.0 00:00.9 MS, LRI 1869 1869 5.084 0.023 ± 0.016 b 0.052 ± 0.034 a 0.019 ± 0.011 b 0.010 ± 0.001 b 0.011 ± 0.003 b
272 4-Vinylguaiacol 27:33.5 00:00.9 S, MS, LRI >2100 2168 2.970 0.563 ± 0.266 ab 0.762 ± 0.426 a 0.373 ± 0.170 b 0.377 ± 0.330 b 0.163 ± 0.069 b
273 Phenol 24:14.0 00:00.8 S, MS, LRI 1998 1995 1.607 0.701 ± 0.049 0.856 ± 0.131 0.804 ± 0.309 0.601 ± 0.130 0.886 ± 0.541
274 4-Ethylguaiacol 24:44.7 00:01.0 S, MS, LRI 2024 2024 1.514 0.011 ± 0.020 0.024 ± 0.034 0.004 ± 0.004 0.002 ± 0.005 0.003 ± 0.003
275 2,4-Bis(1,1-dimethylethyl)phenol 29:01.0 00:01.0 MS, LRI >2100 2270 1.328 0.923 ± 0.417 0.821 ± 0.247 1.133 ± 0.583 0.667 ± 0.280 0.810 ± 0.189
Furanoids and lactones
276 3-Methyl-2(5H)-furanone 19:13.3 00:01.0 MS, LRI 1733 1726 7.776 0.029 ± 0.012 a 0.024 ± 0.011 ab 0.017 ± 0.009 b 0.004 ± 0.004 c 0.017 ± 0.006 ab
277 Acetylfuran 15:01.2 00:01.0 MS, LRI 1501 1501 4.958 0.092 ± 0.054 b 0.416 ± 0.326 a 0.201 ± 0.104 b 0.086 ± 0.040 b 0.092 ± 0.031 b
278 γ-Butyrolactone 17:28.0 00:01.0 MS, LRI 1629 1626 4.491 3.839 ± 1.256 a 4.284 ± 1.527 a 4.055 ± 0.852 a 1.918 ± 1.271 b 2.661 ± 0.844 ab
279 2-(5-Methyl-5-vinyltetrahydro-2-furanyl)-2-propanol 14:16.1 00:01.2 MS 1470 - 4.293 0.050 ± 0.089 b 0.106 ± 0.063 b 0.053 ± 0.063 b 0.100 ± 0.084 b 0.305 ± 0.233 a
280 γ-Nonalactone 24:42.6 00:01.2 S, MS, LRI 2022 2018 3.909 0.037 ± 0.072 c 0.311 ± 0.222 a 0.152 ± 0.123 bc 0.200 ± 0.100 ab 0.191 ± 0.089 abc
281 Lactone (n.i.; m/z 85, 57, 100) 23:39.0 00:01.1 MS 1967 - 2.450 0.057 ± 0.059 0.013 ± 0.014 0.039 ± 0.037 0.010 ± 0.006 0.009 ± 0.001
282 Pantolactone 24:42.0 00:00.8 MS, LRI 2022 2029 2.220 0.091 ± 0.018 0.184 ± 0.075 0.174 ± 0.101 0.156 ± 0.067 0.123 ± 0.046
283 Furfuryl ether 10:14.0 00:01.1 MS 1292 - 2.138 0.159 ± 0.187 0.242 ± 0.117 0.245 ± 0.100 0.091 ± 0.033 0.116 ± 0.071
284 Furfural 14:05.2 00:00.9 S, MS, LRI 1462 1460 2.087 1.122 ± 0.381 16.951 ± 26.840 2.258 ± 1.044 0.857 ± 0.168 1.010 ± 0.306
285 Ethyl 2-furoate 17:21.0 00:01.1 MS, LRI 1622 1624 1.823 4.805 ± 1.288 7.089 ± 2.513 4.929 ± 2.119 5.484 ± 1.375 4.786 ± 1.742
286 γ-Octalactone 22:49.8 00:01.1 S, MS, LRI 1924 1923 1.722 0.533 ± 0.208 0.907 ± 0.309 0.708 ± 0.325 0.723 ± 0.299 0.730 ± 0.048
287 2(5H)-furanone 19:59.4 00:00.9 S, MS, LRI 1773 1787 1.266 0.079 ± 0.013 0.151 ± 0.172 0.078 ± 0.013 0.060 ± 0.010 0.079 ± 0.046
288 5-Methyl-2-furfural 16:25.8 00:01.0 S, MS, LRI 1571 1570 1.263 0.014 ± 0.014 1.971 ± 4.278 0.055 ± 0.053 0.033 ± 0.013 0.027 ± 0.033
289 Lactone (n.i.; m/z 99, 71, 87) 23:41.8 00:01.2 MS 1970 - 1.206 0.012 ± 0.022 0.121 ± 0.223 0.022 ± 0.036 0.025 ± 0.022 0.040 ± 0.034
290 γ-Hydroxymethyl-γ-butyrolactone 28:33.0 00:00.9 MS >2100 - 0.725 1.594 ± 1.045 1.857 ± 1.170 2.753 ± 1.813 2.442 ± 1.912 1.735 ± 1.520
291 5-Ethoxydihydro-2(3H)-furanone 19:20.0 00:01.0 MS, LRI 1739 1728 0.666 0.054 ± 0.024 0.059 ± 0.031 0.071 ± 0.032 0.046 ± 0.027 0.062 ± 0.039
292 δ-Caprolactone 20:37.4 00:01.1 MS, LRI 1806 1818 0.121 0.344 ± 0.225 0.332 ± 0.181 0.357 ± 0.160 0.305 ± 0.174 0.288 ± 0.108
Sulfur containing compounds
293 Methional 14:02.7 00:01.0 MS, LRI 1461 1461 11.821 0.018 ± 0.014 c 0.116 ± 0.047 a 0.060 ± 0.043 b 0.017 ± 0.005 c 0.027 ± 0.031 bc
294 2-(Methylthio)ethanol 15:29.0 00:00.8 S, MS, LRI 1524 1531 9.501 0.261 ± 0.063 b 0.356 ± 0.069 a 0.290 ± 0.094 ab 0.133 ± 0.020 c 0.237 ± 0.103 b
295 Methionol 19:08.8 00:00.9 S, MS, LRI 1729 1733 5.647 2.344 ± 0.660 bc 4.022 ± 1.550 a 3.056 ± 1.076 ab 1.741 ± 0.881 c 1.465 ± 0.676 c
296 Ethyl thiophene-2-carboxylate 20:02.0 00:01.2 MS 1775 - 4.883 0.024 ± 0.006 a 0.020 ± 0.003 ab 0.018 ± 0.005 bc 0.017 ± 0.004 bc 0.012 ± 0.002 c
297 4-(Methylthio)-1-butanol 21:26.0 00:00.9 MS 1850 - 4.672 0.011 ± 0.005 bc 0.022 ± 0.010 a 0.018 ± 0.009 ab 0.009 ± 0.004 c 0.007 ± 0.003 c
298 S-(3-hydroxypropyl) thioacetate 14:47.0 00:01.1 MS 1491 - 4.320 0.052 ± 0.015 b 0.083 ± 0.032 a 0.062 ± 0.016 b 0.048 ± 0.006 b 0.042 ± 0.020 b
299 2-Thiophenecarboxaldehyde 18:45.0 00:01.0 S, MS, LRI 1708 1701 3.796 0.039 ± 0.017 b 0.087 ± 0.046 a 0.063 ± 0.036 ab 0.032 ± 0.013 b 0.069 ± 0.020 ab
300 Ethyl methanesulfonate 18:31.0 00:00.9 MS 1695 - 3.638 0.177 ± 0.028 a 0.157 ± 0.037 a 0.159 ± 0.030 a 0.120 ± 0.023 b 0.163 ± 0.029 a
301 Ethyl 3-(methylthio)-trans-2-propenoate 19:41.0 00:01.2 MS, LRI 1757 1733 2.915 0.013 ± 0.007 b 0.021 ± 0.008 a 0.012 ± 0.004 b 0.018 ± 0.003 ab 0.010 ± 0.007 b
302 3-(Methylthio)propyl acetate 17:28.7 00:01.2 MS, LRI 1630 1627 2.832 0.589 ± 0.319 ab 0.731 ± 0.337 a 0.385 ± 0.305 bc 0.427 ± 0.061 bc 0.202 ± 0.087 c
303 Ethyl 3-(methylthio)-trans-2-propenoate 21:33.0 00:01.2 MS, LRI 1856 1837 2.795 0.002 ± 0.004 b 0.011 ± 0.006 a 0.006 ± 0.005 ab 0.010 ± 0.006 a 0.005 ± 0.006 ab
304 Diethyl sulfate 17:21.0 00:01.0 MS 1622 - 2.496 0.013 ± 0.003 0.010 ± 0.004 0.011 ± 0.003 0.009 ± 0.002 0.011 ± 0.002
305 Ethyl thiocyanate 21:05.2 00:01.2 MS 1831 - 2.399 0.250 ± 0.090 0.299 ± 0.119 0.279 ± 0.086 0.251 ± 0.073 0.112 ± 0.045
306 3-Ethoxythiophene 14:19.0 00:01.2 MS 1472 - 1.656 0.030 ± 0.015 0.042 ± 0.035 0.054 ± 0.039 0.023 ± 0.005 0.020 ± 0.018
307 S-[(2,5-dihydro-4-hydroxy-5-oxo-3-furanyl)methyl] ethanethioate 23:09.7 00:00.8 MS 1942 - 1.376 0.113 ± 0.149 0.032 ± 0.055 0.048 ± 0.057 0.030 ± 0.024 0.016 ± 0.020
308 1-(tert-Butylsulfonyl)-2-octanol 19:14.9 00:02.2 MS 1734 - 0.996 0.182 ± 0.125 0.193 ± 0.116 0.220 ± 0.078 0.160 ± 0.086 0.086 ± 0.078
309 Cyclohexyl isothiocyanate 18:17.0 00:01.6 MS, LRI 1681 1667 0.780 0.014 ± 0.011 0.017 ± 0.011 0.017 ± 0.009 0.014 ± 0.008 0.006 ± 0.005
310 3-[(2-Hydroxyethyl)thio]-1-propanol 20:58.0 00:00.9 MS 1825 - 0.515 0.020 ± 0.004 0.019 ± 0.006 0.027 ± 0.023 0.029 ± 0.026 0.022 ± 0.009
311 2-Methyldihydro-3(2H)-thiophenone 15:28.6 00:01.1 MS, LRI 1523 1538 0.510 1.630 ± 0.556 1.418 ± 0.673 1.130± 0.911 1.449 ± 0.752 1.235 ± 0.462
Other compounds
312 2,6,10,10-Tetramethyl-1-oxaspiro[4.5]deca-3,6-diene 15:50.0 00:01.9 MS 1541 - 7.995 0.139 ± 0.058 a 0.025 ± 0.012 c 0.076 ± 0.036 b 0.054 ± 0.020 bc 0.075 ± 0.072 bc
313 Ethylene diglycol monoethyl ether 17:19.0 00:00.9 MS, LRI 1620 1622 5.688 0.081 ± 0.031 b 0.238 ± 0.114 a 0.175 ± 0.095 a 0.227 ± 0.062 a 0.261 ± 0.017 a
314 Acetic formic anhydride 15:59.6 00:00.7 MS 1549 - 1.865 0.065 ± 0.090 0.159 ± 0.132 0.151 ± 0.102 0.059 ± 0.084 0.040 ± 0.053
315 Crotonic anhydride 21:25.8 00:01.5 MS 1850 - 1.557 0.077 ± 0.060 0.063 ± 0.042 0.043 ± 0.023 0.065 ± 0.018 0.020 ± 0.017
316 1H-indole 31:00.2 00:00.9 MS, LRI >2100 2420 1.036 0.044 ± 0.012 0.041 ± 0.019 0.037 ± 0.021 0.027 ± 0.005 0.035 ± 0.026
317 Methylsuccinic anhydride 18:59.0 00:00.9 MS 1720 - 0.517 0.013 ± 0.021 0.051 ± 0.112 0.038 ± 0.028 0.029 ± 0.026 0.053 ± 0.009

ID—identification of compounds; S—retention time and mass spectrum consistent with that of the pure standard and with NIST05 mass spectra electronic library; LRI—linear retention index consistent with that found in literature; MS—mass spectra consistent with that from NIST 2.0, Wiley 8, and FFNSC 2 mass spectra electronic libraries or literature; n.i.—not identified. The compounds with only MS symbol in ID column were tentatively identified. LRIlit—linear retention index from the literature, LRIexp—linear retention index obtained experimentally. Varieties: MI—Malvazija istarska, PO—Pošip, MA—Maraština, KR—Kraljevina, SK—Škrlet. Different superscript lowercase letters in a row represent statistically significant differences between mean values at p < 0.05 obtained by one-way ANOVA and least significant difference (LSD) test.

In order to compare the techniques applied, the GC×GC-TOF-MS results for the major monoterpenols and some other compounds already quantified by GC-MS and reported in Table 1 were also reported in Table 2. It was observed that the results, in relative terms, were mostly in fair agreement. α-Terpineol was confirmed as a monoterpene and a volatile aroma compound in general with the highest discriminative power, with an F-ratio even higher than that obtained after GC-MS data elaboration. α-Terpineol was followed by limonene and linalool, as well as some other monoterpenes which were also among the most potent volatiles according to this criterion as determined by GC-MS, such as nerol, ho-trienol, 4-terpineol, and trans-β-ocimene. On the other hand, some discrepancies were observed; for example, in the case of geraniol, α-terpinolene, and geranyl ethyl ether, with a high F-ratio obtained by GC×GC-TOF-MS and a relatively low F-ratio obtained by GC-MS data elaboration. The opposite was observed for citronellol. It is possible that the discrepancies observed derived from the co-elution of the mentioned monoterpenes with particular unidentified compounds having mass spectra with ions of equal mass to those used for quantification of terpenes during GC-MS analysis, although strict measures have been taken to ensure the quality of the results.

Similar as in the case of GC-MS results (Table 1), Škrlet wines were the most abundant in monoterpenes, followed by Malvazija istarska, then Pošip, and finally Maraština and Kraljevina wines with the lowest concentrations (Table 2). Only a few exceptions were noted: Škrlet wines contained the lowest concentration of β-calacorene, while Malvazija wine was deficient in cis-Z-α-bisabolene epoxide. Although Kraljevina wine was generally poor in terpenes, several sesquiterpenes, such as cadalene, β-calacorene, and especially tentatively identified γ-dehydro-ar-himachalene, emerged as potential markers of the varietal origin of this wine.

All the other classes of compounds were confirmed to be far less efficient in differentiating the investigated monovarietal wines than terpenes, with few exceptions. The number of C13-norisoprenoids identified by the two techniques applied was similar, but their identities differed in most cases. The relative results for β-damascenone obtained by GC-MS and GC×GC-TOF-MS were in a fair agreement, with the highest concentration found in Malvazija istarska and the lowest in Škrlet wines (Table 2). A similar degree of correspondence between GC-MS and GC×GC-TOF-MS results and the corresponding F-ratios was observed for a vitispirane isomer. Kraljevina wines contained the highest concentration of tentatively identified 1,2-dihydro-1,4,6-trimethylnaphthalene.

Superiority of GC×GC-TOF-MS over GC-MS in terms of compound separation and identification was demonstrated well in the analysis of benzenoids, with a much larger number of compounds identified by the former technique. Several benzenoids were found to be relatively efficient discriminators between monovarietal wines, and some of them were exclusive differentiators for particular varieties. High ethyl benzene concentration was specific for Pošip, while 1,1′-oxybisbenzene was most abundant in Malvazija istarska wines, in both cases supported by rather high F-ratios. In addition to the highest concentration of 1,1′-oxybisbenzene, Malvazija istarska wine was characterized by most varietal markers among benzenoids, including octylbenzene, a non-identified benzenoid, azulene, 2-methylnaphthalene, and methyl 2-(benzyloxy)propanoate. Pošip was characterized by the highest ethyl benzene and trans-edulan concentration, Kraljevina was the most abundant in 6-[1-(hydroxymethyl)vinyl]-4,8a-dimethyl-1,2,4a,5,6,7,8,8a-octahydro-2-naphthalenol, while Škrlet wine was the richest in m-methoxyanisole and α,α-dimethylbenzenemethanol (Table 2).

No significant differences were found between the concentrations of hydrocarbons, while aldehydes also turned out to be poor varietal differentiators, with significant differences found only for decanal (Table 2). On the other hand, several ketones were found useful for this purpose: the highest concentration of 2-undecanone and 3-undecanone was specific for Malvazija istarska, 1,4,7,10,13-pentaoxacyclononadecane-14,19-dione and cyclohexylideneacetone were characteristic for Škrlet, while the lowest concentration of isophorone was found in Maraština wines.

4-Methyl-1-heptanol was the most useful among alcohols in differentiating monovarietal wines with a rather high F-ratio (Table 2). It was found in the highest concentration in Škrlet, followed by Malvazija istarska wines, while the other wines contained lower concentrations. The results for cis-3-hexen-1-ol were in accordance with those obtained by GC-MS, with the highest concentration found in Dalmatian Pošip and Maraština wines. 3-Octanol and 1-octen-3-ol were exclusive markers for Pošip, 2-decanol for Škrlet, while the lowest concentration of an isomer of 2-penten-1-ol was characteristic for Kraljevina wine. F-ratios determined for fatty acids were relatively low and significant differences were found only for five of them.

A very large number of minor esters was identified by GC×GC-TOF-MS analysis (Table 2). In accordance with the GC-MS data, the concentrations of the majority of esters of aliphatic higher alcohols and fatty acids were the highest in Malvazija istarska wines. Despite the thesis that precursor concentrations do not significantly determine the concentrations of acetate esters formed by Saccharomyces cerevisiae [60], the highest concentration of cis-3-hexen-1-yl acetate corresponded to the highest concentration of its precursor, cis-3-hexen-1-ol, found in Pošip wine. Pošip wine was the most abundant in particular esters of ethanol and hydroxyl keto acids, such as diethyl glutarate and ethyl pyruvate. Although without a statistically significant difference, the concentrations of the related esters, such as ethyl lactate and diethyl succinate, determined by GC-MS, also had a tendency to be higher in Pošip wines.

Pošip wines contained the highest concentration of volatile phenols, such as 2-methoxyphenol and 4-vinylguaiacol. Significant differences were found for particular furanoids and lactones. A number of sulfur containing compounds was identified, with many of them found in the highest concentration in Pošip wines, some with relatively high F-ratios, such as methional. Kraljevina and Škrlet wines were generally the least abundant in these compounds (Table 2).

3.3. Multivariate Statistical Analysis

PCA allowed a good separation of the investigated monovarietal wines according to variety when applied on a dataset reduced to 40 variables with the highest F-values, obtained by both GC-MS and GC×GC-TOF-MS analysis. Monovarietal wines were clearly separated from each other in two-dimensional space despite a relatively high number of varieties (Figure 1). Škrlet wine was clearly differentiated from the others along the direction of PC1 and was characterized by higher amounts of terpenes. A part of Malvazija istarska wines also gravitated towards higher positive PC1 values, but the wines of this variety were also separated from the others along the direction of PC2, mostly due to higher concentrations of particular esters with positive PC2 values. Volatile aroma compounds located in the second quadrant of Cartesian system with negative PC1 and positive PC2 coordinates, 2,3-dihydro-1,1,5,6-tetramethyl-1H-indene and γ-dehydro-ar-himachalene, contributed most to the separation of Kraljevina wines, while the location of Pošip wines was obviously conditioned by the loadings of cis-3-hexen-1-ol, vitispirane II, ethyl benzoate, methional, cis-3-hexen-1-yl acetate, 2-phenethyl acetate, and 2-(methylthio)ethanol. Maraština wines were apparently not linked to any particular compound class, probably due to lower concentrations of the 40 volatile compounds used for PCA.

Figure 1.

Figure 1

(a) Separation of Croatian monovarietal wines according to variety in two-dimensional space defined by the first two principal components, PC1 and PC2; (b) Factor loadings of selected variables (40 volatile aroma compounds with the highest F-ratios), as determined by gas chromatography mass spectrometry (GC-MS) and two-dimensional gas chromatography with time-of-flight mass spectrometry (GC×GC-TOF-MS) analysis, on PC1 and PC2.

Hierarchical clustering analysis according to variety, performed using the amounts of the 60 volatile aroma compounds with the highest F-ratio, confirmed that each monovarietal wine had a distinct volatile profile (Figure 2). Most of the conclusions were similar to those obtained by the PCA. Škrlet and Malvazija Istarska wines were clearly separated from each other mostly due to higher concentrations of particular esters in the latter, but were clustered together by high terpene concentrations. The generated heatmap probably offered the clearest insight into the intra-varietal diversity of particular wines, especially Malvazija with two evident clusters with different terpene content. Pošip formed a distinct cluster mostly due to high concentrations of particular compounds from several classes, some of them already mentioned in the PCA, including vitispirane II, trans-edulan, methional, 2-phenyletahnol, cis-3-hexen-1-ol and its acetate, ethyl benzoate, 2-heptanol, 2-phenethyl acetate, ethyl cinnamate, and others. Kraljevina wines were clearly the least abundant in the majority of the 60 pre-selected compounds, except for γ-dehydro-ar-himachalene, 1,2-dihydro-1,4,6-trimethylnaphthalene and particular benzenoids, which were confirmed as its markers.

Figure 2.

Figure 2

Hierarchical clustering analysis performed using volatile aroma compound profiles of Croatian monovarietal wines obtained by GC-MS and GC×GC-TOF-MS analysis. The heatmap was generated using 60 most significant compounds (the highest F-ratios). The rows in the heatmap represent compounds and the columns indicate samples. Compounds are designated by numbers which correspond to those in Table 1 (GC, i.e., GC-MS) or in Table 2 (GCGC, i.e., GC×GC-TOF-MS). The colors of heatmap cells indicate the abundance of compounds across different samples. The color gradient, ranging from dark blue through white to dark red, represents low, middle, and high abundance of a compound.

SLDA was applied on a dataset reduced to 60 most significant volatile aroma compounds according to F-ratio from both GC-MS and GC×GC-TOF-MS original datasets. All the monovarietal wines were classified correctly according to variety by this model, and 24 most significant variables were extracted (Figure 3), with rather high squared Mahalanobis distances from group centroids. A 100% correct classification was obtained after including only seven variables. α-Terpineol was confirmed once again as the most powerful varietal marker, since the SLDA model classified correctly 68.75% of all the wines and 100.00% of Škrlet wines by using only this variable. After including β-pinene and ethyl benzoate the total percentage of correctly classified wines increased to 93.75%. For achieving a 100.00% correct classification, 1,1′-oxybisbenzene, γ-dehydro-ar-himachalene, vitispirane II, and 2,6,10,10-tetramethyl-1-oxaspiro[4.5]deca-3,6-diene were included in the SLDA model. The following 17 volatile aroma compounds were also included: 2-phenethyl acetate, isophorone, monoterpenyl acetate (n.i.; m/z 93, 69, 121), 2,3-dihydro-1,1,5,6-tetramethyl-1H-indene II, cis-3-hexen-1-ol, methyl hexanoate, trans-rose oxide, methyl decanoate, cis-3-hexen-1-yl acetate, monoterpene (n.i.; m/z 93, 69, 41), β-myrcene, limonene, 3-methyl-2(5H)-furanone, 2-phenylethanol, 1,2-dihydro-1,4,6-trimethylnaphthalene, nerol, and nerol oxide.

Figure 3.

Figure 3

Separation of Croatian monovarietal wines according to variety defined by the first three discriminant functions (roots) obtained by forward stepwise discriminant analysis (SLDA) on the basis of volatile aroma compound composition determined by GC-MS and GC×GC-TOF-MS analysis. (a) root 1 vs root 2; (b) root 1 vs root 3; (c) root 2 vs root 3.

Apparently, SLDA has extracted volatile aroma compounds which were most useful for the differentiation of the five investigated monovarietal wines between each other, which only partly coincided with the compounds with the highest F-ratios obtained by ANOVA. Monoterpenes had a key role again, especially α-terpineol. The ability of the SLDA model to predict a correct variety was checked by “leave-one-out” cross-validation, where each wine sample was excluded and classified by the functions derived from all the other wine samples. The correct prediction rate achieved was 100.00%.

To compare the usefulness of the information contained in the composition of terpenes alone obtained by GC-MS and GC×GC-TOF-MS analysis for differentiating monovarietal wines, SLDA was applied separately on the two datasets containing 20 and 31 terpenes, respectively, found significant by ANOVA. Both GC-MS and GC×GC-TOF-MS dataset based models succeeded in achieving 100.00% correct classification (Figure 4). α-Terpineol was again confirmed as a key differentiator, since both models included it as the first, which classified correctly 59.38% and 68.75% monovarietal wines, respectively. For achieving 100.00% correct classification, the GC-MS model further included trans-ocimene, cis-linalool furan oxide, β-pinene, citronellol, trans-nerolidol, ho-trienol, trans-rose oxide, and limonene, while the GC×GC-TOF-MS model extracted γ-dehydro-ar-himachalene, ho-trienol, nerol, o-cymene, isogeraniol, a non-identified sesquiterpene (n.i.; m/z 119, 93, 69), neryl ethyl ether, and cis-α-ocimene. The classification efficacy of the models was improved by including further eight and nine terpenes, respectively. The GC×GC-TOF-MS model exhibited a superior efficacy judging from the degree of the overlapping of the corresponding 95% confidence areas, as well as higher squared Mahalanobis distances on the average, especially for Škrlet wines.

Figure 4.

Figure 4

Separation of Croatian monovarietal wines according to variety defined by the first three discriminant functions (roots) obtained by forward stepwise discriminant analysis (SLDA) on the basis of volatile terpene composition determined by GC-MS (ac) and GC×GC-TOF-MS (df) analysis.

The volatile aroma compounds which were found to be most useful for the differentiation of the investigated wines in this study were only partly in accordance with the ones highlighted in previous studies which applied a similar multivariate statistical approach. For example, Welke et al. [29] characterized and differentiated wines from Chardonnay, Sauvignon Blanc, Pinot Noir, Merlot, and Cabernet Sauvignon based on volatile aroma composition obtained by GC×GC-TOF-MS analysis and extracted the following 12 volatile compounds as the most useful for their differentiation: diethyl succinate, 2,3-butanediol, nerol, 3-penten-2-one, diethyl malonate, β-santalol, ethyl 9-decenoate, alcohol-C9, 4-carene, tetrahydro-2(2H)-pyranone, dihydro-2(3H)-thiophenone, and 3-methyl-2(5H)-furanone. It is probable that the main reason for such discrepancy between this and the study from Welke et al. [29] was the fact that the mentioned authors mutually compared wines from white and red varieties, which greatly differ with respect to the production technology, which, besides variety, certainly greatly contributed to the differences between wines. Welke et al. [29] also obtained a SLDA model that differentiated wines according to variety with a 100% correct recognition ability, while some other authors who applied conventional GC-MS for the same purpose, such as Zhang et al. [61] and Câmara, Alves and Marques [14], did not succeed completely. Fabani, Ravera, and Wunderlin [15] obtained a 100% correct discrimination among Syrah, Malbec, and Bonarda red wines by the application of SLDA on GC-MS data with ethyl hexanoate, ethyl octanoate, 1-hexanol, benzyl alcohol, and isoamyl acetate as the most useful differentiators. Terpenes were not analyzed. Ziółkowska, Wąsowicz, and Jeleń [19] obtained a relatively good differentiation of red wines, with the ability of the LDA model to correctly classify and predict their varietal origin based on HS-SPME/GC-MS data of 95%, while the model built for white wines was not that successful. The compounds most useful for the differentiation of white wines (Chardonnay, Sauvignon Blanc, and Muscat) were isoamyl acetate, furfural, ethyl octanoate, ethyl decanoate, and ethyl dodecanoate, while red wines (Cabernet Sauvignon and Merlot) were differentiated mainly by 1-hexanol, ethyl decanoate, and 2-phenylethanol. It should be noted that the samples of the same variety were collected across several countries, which was certainly a factor that introduced large variability.

4. Conclusions

HS-SPME/GC×GC-TOF-MS analysis, alone or combined with conventional HS-SPME/GC-MS, was shown to be an excellent analytical tool for differentiation of wines according to variety based on volatile aroma compound composition. It has also been proven that the additional separation efficiency enabled by the second chromatographic column in GC×GC-TOF-MS analysis was crucial for the separation and identification of a very large number of volatile compounds, which would otherwise remain undetected by conventional GC-MS. This feature provided additional in-depth volatile profile information which was exploited for highly efficient white wine varietal differentiation. Such an outcome can be considered even more successful knowing that the number of varieties was relatively high while that of wine samples of each variety was relatively small, and that the investigated wines were characterized by high intra-varietal heterogeneity in terms of micro-locations and grape cultivation and winemaking parameters. The results of this study confirmed the unmatched power of monoterpenes to discriminate wines according to variety, which was robust enough to be captured by uni- and multivariate statistics based on both GC-MS and GC×GC-TOF-MS analysis data separately.

Acknowledgments

The authors would like to thank wine producers from Croatia for donating wine samples, Irena Budić-Leto, Sanja Radeka, and the panel for sensory analysis of wine from the Institute of Agriculture and Tourism in Poreč, Croatia, for assistance in collecting and selection of wine samples, Ivana Puhelek for assistance in collecting wine samples, and Ivana Horvat for technical assistance.

Supplementary Materials

The following are available online at https://www.mdpi.com/2304-8158/9/12/1787/s1, Figure S1: Example of a contour plot obtained for Malvazija istarska monovarietal wine using HS-SPME/GC×GC-TOF-MS. Colored areas represent more abundant volatile aroma compounds and black dots represent less abundant and trace volatile aroma compounds, Table S1: Physico-chemical parameters in in Croatian monovarietal wines, Table S2: Concentrations (μg/L) of volatile aroma compounds found in individual Croatian monovarietal wines after headspace solid-phase microextraction followed by gas chromatography-mass spectrometry (HS-SPME/GC–MS) sorted by compound class, Table S3: Concentrations (μg/L relative to internal standard 2-octanol) of volatile aroma compounds found in individual Croatian monovarietal wines obtained by headspace solid-phase microextraction combined with comprehensive two-dimensional gas chromatography-mass spectrometry with time-of-flight mass spectrometric detection (HS-SPME/GC×GC-TOF-MS) sorted by compound class.

Author Contributions

Conceptualization, I.L.; methodology, I.L. and U.V.; formal analysis, I.L. and S.C.; investigation, I.L. and S.C.; resources, I.L. and U.V.; data curation, I.L. and U.V.; writing—original draft preparation, I.L.; writing—review and editing, I.L. and U.V.; supervision, I.L. and U.V.; project administration, I.L. and U.V.; funding acquisition, I.L. and U.V. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Croatian Science Foundation grant number UIP-2014-09-1194 and by the ADP 2017 project funded by the Autonomous Province of Trento.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results.

Footnotes

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

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