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. 2024 Feb 24;104:106826. doi: 10.1016/j.ultsonch.2024.106826

Application of toasted vine-shoot chips and ultrasound treatment in the ageing of Primitivo wine

Mirella Noviello a, Vito Michele Paradiso b,, Giuseppe Natrella a, Giuseppe Gambacorta a, Michele Faccia a, Francesco Caponio a
PMCID: PMC10909903  PMID: 38422810

Graphical abstract

graphic file with name ga1.jpg

Keywords: Accelerated ageing, Viticultural wastes, Primitivo wine, Sensory analysis

Highlights

  • Primitivo toasted vine-shoots chips were tested as an alternative to oak chips.

  • Primitivo toasted vine-shoots chips and ultrasound treatment were used during wine aging.

  • Vine-shoots chips and ultrasound treatment promoted the colour stabilisation, accelerating the aging process of wine.

  • Primitivo wine enriched of compounds associated with new wood-related aromas.

Abstract

Ageing wine in barrels is an historical practice used to improve the aromatic complexity of wine, but due to the high cost and the long ageing period, alternative approaches have been developed, such as the use of wood chips and ultrasound treatment. The present paper reports the results of an investigation performed on wine (cv. Primitivo). Three treatments were investigated: a) control wine untreated; b) wine with toasted vine-shoot chips (10 g/L); c) wine with toasted vine-shoot chips (10 g/L) and treated by ultrasound. Wines were analysed after 7, 14, 21, and 28 days. The application of ultrasound combined with vine-shoot chips promoted tannin evolution, thereby accelerating the ageing process of wine. The chips addition decreased the total anthocyanins content and increased the stilbenes (trans-resveratrol and trans-piceid) and wood-related aromas (i.e., furfural, 5-methylfurfural) concentration. Finally, wines added with chips were richer in woody, vanilla, oak, and chocolate notes and more preferred by the tasters.

1. Introduction

Wine ageing is one of the most valuable phases of winemaking process, essential to produce high-quality red wines. However, the long time and high economic costs of the wine ageing process in barrels has led to the development of several alternatives ageing techniques such as the application of ultrasounds, high pressure, pulsed electric field or the addition of oak products [1].

Ultrasound is one of the most promising technologies in the food sector due to its ample application in different processes, being a low-cost and environmentally friendly technology [2], [3]. In the oenological field, ultrasound has been tested for different purposes, such as: improving the extraction of phenolic and other grape compounds, reducing the processing time (both maceration and ageing) and obtaining wines with a suitable and stable phenolic composition [4], [5], [6], [7], as recently accredited by International Organisation of Vine and Wine (OIV) [8]; reducing the SO2 dose in wine production [9]; improving ageing on lees [10], [11], [12], [13]; extracting bioactive compounds from wastes and by-products of the winemaking process [14], [15], [16], [17], [18]. Furthermore, ultrasound treatment has been tested to accelerate the ageing process of wine, improving quality and accelerating colour stabilization and proanthocyanidin polymerization reactions [1], [19], [20], [21]. In fact, ultrasound is a kind of mechanical waves with a frequency above 20 kHz that need a material medium to propagate [22].

On the other hand, the addition of wood chips from Quercus species in winemaking was approved and regulated by the International Oenological Codex of the OIV [23] and by the Official Journal of the European Union [24]. Wood chips from other botanical species such as chestnut, acacia or cherry, have also been tested to improve wine quality [25], [26], [27], [28]. Moreover, the use of toasted vine-shoot (Vitis vinifera L.) chips, one of the most abundant viticultural wastes from vinification and ageing processes, have been tested during last years in order to improve the phenolic and volatile composition of wine [29], [30], [31], [32]. This application is in an experimental phase. In fact, to the best of our knowledge in Italy the use of vine-shoot chips during the ageing of wine is not allowed by legal regulations.

The combination of ultrasound technology and addition of oak chips has been investigated in model wine solution and during wine ageing processes, resulting in improvement of the aromatic quality, colour, and taste, and increase of the total phenols content [1], [33], [34]. However, the effect of ultrasound process combined with vine-shoot chips during wine ageing has not been studied yet.

Therefore, this work evaluates the effects of the use of toasted vine-shoot chips either combined with ultrasound treatment or not on the ageing phenomena of a Primitivo wine. To the aim, the phenolic and volatile composition, and the sensory profile were monitored weekly over a period of 28 days of contact with vine-shoot chips.

2. Materials and methods

2.1. Vine-shoot chips preparation

The cv. Primitivo vineyard located in Laterza (Puglia, Italy) (coordinates: longitude 16° 78′ 23.8495″ W, and latitude 40° 69′ 76.1435″ N) was pruned 90 days after grape harvest (season 2021). About 20 kg of vine-shoots were picked randomly and stored intact (40 cm) in dark and room temperature (18 ± 3 °C) condition for six months, to achieve the highest accumulation of non-volatile phenolic and volatile compounds [35]. Then, they were cut into 3–4 cm pieces, ground by a hammer miller (Dietz-motoren KG, Elektromotorenfabrik, 7319 Dettingen-teck, Germany) to a particle size around 2–20 mm long (similar to commonly used oak chips) and finally, toasted (180 °C) using a thermostatic oven (TFC A120 Forced Air Oven, ArgoLab, Carpi, Italy), as described by Cebrián-Tarancón et al. [36]. A slight change was made compared to literature (one hour toasting instead of 45 min), after preliminary trials (data not shown).

2.2. Experimental design

A red wine (cv. Primitivo, 20 L) from the 2021 vintage was supplied by the “La Popolare” winery (Sava, Puglia, Italy) and delivered at the experimental winery of the Department of Soil, Plant and Food Sciences (Di.S.S.P.A, University of Bari Aldo Moro, Italy). The general oenological chemical parameters of the wine, before treatment, were: alcoholic degree 15.6 % (v/v), total acidity 6.3 g/L as tartaric acid, pH 3.6, volatile acidity 0.34 g/L as acetic acid, tartaric acid 2.6 g/L, malic acid 0.66 g/L, lactic acid 0.47 g/L, dry reduced extract 38.5 g/L, and ashes 2.7 g/L and 93.9 mg/L of SO2.

Three treatments were tested, and twelve 500 mL bottles were sampled for each treatment:

  • 1.

    C (control): wine without any treatment;

  • 2.

    I (infusion): wine with 10 g/L of toasted vine-shoot chips. The amount of chips used was lower than that reported by Cebrián-Tarancón et al. [30] (12 g/L) to balance the stronger sensory impact due to the longer toasting time of the chips (see also Section 2.1);

  • 3.

    U + I (ultrasound + infusion): wine with toasted vine-shoot chips (10 g/L) and subjected to ultrasound treatment for 30 min with a Bandelin Sonopuls GM3200 ultrasound system (Bandelin electronic, Berlin, Germany) at a frequency of 20 kHz and power of 150 W, operating with a 13 mm probe (Bandelin sono plus 497 titanteller TT 13). The temperature was controlled by a thermostatic bath (20 ± 5 °C). The treatment was directly carried out on the wine in the bottles.

For both I and U + I samples, the wine was added together with the chips in each bottle. All bottles (C, I and U + I) were stored at room temperature (20 ± 5 °C) for 28 days with daily shaking. All wines were analysed at 7, 14, 21 and 28 days. Before analysis, I and U + I samples were filtered to remove the chips.

2.3. Analytical methods

2.3.1. General oenological parameters

Ethanol (E, % v/v), pH, titratable acidity (TA, g/L tartaric acid), volatile acidity (VA, g/L acetic acid), tartaric acid (TarA, g/L), malic acid (MA, g/L) and lactic acid (LA, g/L), dry reduced extract (DRE, g/L), ashes (g/L), SO2 (mg/L) were analysed in triplicate by using a Foss WineScan FT 120, as described by the manufacturer (Foss, Hillerød, Denmark).

2.3.2. Phenolic composition and colour indices

Total phenolic content (TPC as mg/L of gallic acid equivalents) was determined according to Gambacorta et al. [37]. Flavonoids (F, as mg/L of (+)-catechin), anthocyanins (A, as mg/L of malvidin-3-glucoside), flavans reactive with vanillin (FRV, as mg/L of (+)-catechin) and proanthocyanidins (P, as mg/L of cyanidin chloride) were determined according to Gambacorta et al. [38]. Colour indices (T, tonality; CI, colour intensity) were evaluated according to the Glories procedure [39]. An Evolution 60 s UV–visible spectrophotometer (ThermoFisher Scientific, Rodano, Italy) was employed for the spectrophotometric measures.

2.3.3. Antioxidant activity evaluation

Antioxidant activity (AADPPH) was assessed by DPPH (2,2-diphenyl-1-picrylhydrazyl) and ABTS-TEAC assays according to Tarantino et al. [40] using an Evolution 60 s UV–visible spectrophotometer (ThermoFisher Scientific, Rodano, Italy), expressing the results as µmol Trolox equivalents (TE) per L of wines samples.

2.3.4. Analysis of phenolic compounds by UHPLC-DAD-MS/MS

UHPLC-DAD-MS/MS analysis of phenolic compounds was carried out according to Torregiani et al. [41], with the only exception that data were acquired in both positive and negative ionization mode. Specifically, samples were analysed with two methods: a full scan method from 100 to 1000 m/z and a data-dependent experiment to collect MS2 data. In this case the data-dependent settings were full scan from 140 to 800 m/z for negative ionization mode and from 200 to 1000 for positive ionization., activation level 500 counts, isolation width 2 Da, default charge state 2, and CID energy 35. Tentative identification of compounds was performed using mass spectra (MS2), λmax, and retention time accordingly to literature [42], [43], [44], [45], [46]. Analytical grade standards were used for quantitation by the external standard method (R2 = 0.9972−0.9999): (+)-catechin, (-)-epicatechin, malvidin-3-O-glucoside, quercetin were purchased from phyproof® (PhytoLab, Dutendorfer, Germany); myricetin, gallic acid, caftaric acid, syringic acid, ellagic acid were purchased from Sigma-Aldrich (St. Louis, MO, USA); trans-resveratrol was purchased from United States Pharmacopeia (USP, Maryland, United States). Results were expressed in mg of compound per L. All analyses were performed in triplicate.

2.3.5. Volatile organic compounds (VOCs)

VOCs were analysed by SPME-GC/MS according to Prezioso et al [47]. One millilitre of each sample were placed into 20 mL glass vials with a headspace screw cap containing 0.2 g/mL of NaCl (to increase the ionic strength) and 100 µL of internal standard solution (2-octanol, 820 ng) as an internal standard for semi-quantitation and then closed by a silicone/PTFE septum and an aluminium cap. Before extraction, stabilization of the headspace in the vial was obtained by equilibration for 10 min at 50 °C. The extraction was performed using a divinylbenzene/carboxen/polydimethylsiloxane (DVB/CAR/ PDMS) 50/30 mm SPME fiber assembly (Supelco, Bellefonte, PA, USA) at 50 °C for 30 min. The GC–MS analyses were carried out using a Trace1300 gas chromatograph equipped with a mass spectrometer ISQ Series 3.2 SP1. Tentative identification of the peaks was done by means of Xcalibur V2.0 Qual Browse software (Thermo Fisher Scientific, Waltham, MA, USA) by matching with the reference mass spectra of the NIST (National Institute of Standards and Technology, Gaithersburg, MD, USA) library. Semi-quantitation of the compounds was done by the internal standard method, and the amounts were expressed as µg of 2-octanol equivalents per L.

The theoretical influence of the aroma compounds on the overall aroma of wine was evaluated, determining the odour activity value (OAV), as the ratio between the concentration and the odour threshold of the individual aroma compounds found in bibliography, as reported in Table S2 of Supplementary Materials.

2.3.6. Sensory analysis

The effect of the different treatments was evaluated by subjecting the wine samples (C, I and U + I) to sensory analysis. One session was performed for each sampling time considered (7, 14, 21 and 28 days). The evaluation panel was composed of 8 expert tasters (4 women and 4 men) between 24 and 60 years of age, who expressed written consent according to the ethical guidelines of the laboratory of Food Science and Technology of the Department of Soil, Plant, and Food Science of the University of Bari (Italy). In each session, the three wines samples were presented in a completely randomized order to each panellist without giving any information about their preparation. Before the first session, a preliminary consensus session was carried out with a blind simultaneous tasting of three wine samples to highlight relevant differences among wines and define the descriptors to be used in the quantitative descriptive analysis (QDA) and in the list used for CATA analysis. The mean scores of attributes obtained from QDA provided the sensory profile of the wines, according to Iland et al. [48]. For this purpose, an evaluation sheet was provided to judges and the descriptors were grouped by visual (colour intensity and viscosity), olfactory (intensity, persistence, balance) and taste (gustatory intensity, gustatory persistence, tannicity, gustatory balance, and body) characteristics and an overall score. Panellists rated each attribute on a scale from 0 (absence) to 10 (maximum perception). The olfactory profile was also valuated by check-all-that-apply (CATA) approach [49], by which the judges were asked to report the perception of odorous attributes (such as fruity, floral, chocolate, toasty, vanilla, oak). At the end of the session, the assessors were asked to express their preference, creating a ranking of preference from 1 to 3.

2.4. Statistical analysis

All results were subjected to two-way analysis of variance (ANOVA) to evaluate the effects of sampling time (Tm) and treatments (Tr) and their interaction (Tm*Tr). A circular polar heatmap was obtained from a hierarchical clustering analysis involving both wines and volatile compounds. The results about the quantitative descriptive analysis were subjected to ANOVA. The results of the preference ranking test were subjected to Friedman analysis. The wines tasted were ranked in descending order of preference for each consumer; rank 1 was assigned to the most preferred wine, rank 2 to the next ones and rank 3 to the least preferred wine. The KH Coder software was used on the results of CATA sensory analysis to achieve the correspondence analysis (minimum term frequency = 3). OriginPro 2020 (OriginLab Corporation, Northampton, MA, USA) was used for the statistical analysis.

3. Results and discussion

3.1. Oenological parameters

Table 1 shows the effect of sampling time (7, 14, 21, 28 days) and treatments (C, I and U + I). The sampling time statistically affected VA, TarA and DRE, though no clear trend was observed, and, above all, changes had no relevant oenological impact on the parameters. Also, total SO2 showed a general tendency to decrease during time, probably due to oxygen solubilization during bottling and treatments, as well as radical formation induced by ultrasound. Treatment exerted a greater effect than sampling time on all parameters, except for malic and lactic acid. Firstly, the ultrasound treatment reduced the alcohol content (p < 0.001). The decrease of ethanol was neglectable but provided the evidence of the chemical impact of ultrasound on wine. In fact, it has been reported that the cavitation effect may cause oxidation of ethanol and formation of free radicals which could contribute to the acceleration of wine ageing reactions [50], [51], [52]. Moreover, both treatments favoured a slight increase of pH, DRE and ashes, probably due to the release of solids and cations from chips. Although to differing degrees, the pH increment was observed also when Airén and Cencibel vine-shoots were tested in a model wine solution [29].

Table 1.

Incidence of sampling time (Tm, 7, 14, 21, 28 days) and treatment (Tr) on general oenological parameters of Primitivo wine.

Days E (% v/v) pH TA (g/L) VA (g/L) TarA (g/L) MA (g/L) LA (g/L) DRE (g/L) Ashes (g/L) SO2 (mg/L)
C 7 15.60 ± 0.02a 3.54 ± 0.02c 6.24 ± 0.05ab 0.31 ± 0.01abc 2.59 ± 0.04cd 0.70 ± 0.1a 0.47 ± 0.02a 38.23 ± 0.23e 2.77 ± 0.03f 83.33 ± 7.74ab
14 15.60 ± 0.03a 3.54 ± 0.02abc 6.23 ± 0.05ab 0.33 ± 0.03abc 2.70 ± 0.05abc 0.67 ± 0.07a 0.46 ± 0.04a 38.39 ± 0.16de 2.80 ± 0.09ef 78.57 ± 1.53ab
21 15.63 ± 0.01a 3.54 ± 0.01abc 6.19 ± 0.01b 0.31 ± 0.02bc 2.72 ± 0.04ab 0.72 ± 0.02a 0.46 ± 0.05a 38.27 ± 0.05de 2.86 ± 0.03cdef 85.42 ± 5.74a
28 15.63 ± 0.01a 3.54 ± 0.01bc 6.23 ± 0.03ab 0.31 ± 0.02c 2.76 ± 0.05a 0.71 ± 0.02a 0.43 ± 0.05a 38.28 ± 0.08de 2.83 ± 0.06def 70.48 ± 3.90ab
I 7 15.63 ± 0.05a 3.58 ± 0.01a 6.17 ± 0.05b 0.33 ± 0.01abc 2.66 ± 0.04abcd 0.70 ± 0.1a 0.47 ± 0.1a 38.74 ± 0.17bcd 2.96 ± 0.03abcd 70.48 ± 10.51ab
14 15.59 ± 0.01a 3.58 ± 0.01a 6.19 ± 0.07b 0.33 ± 0.01abc 2.64 ± 0.05abcd 0.71 ± 0.01a 0.49 ± 0.07a 38.61 ± 0.20cde 3.01 ± 0.06ab 77.23 ± 2.43ab
21 15.63 ± 0.02a 3.58 ± 0.01ab 6.26 ± 0.03ab 0.35 ± 0.01ab 2.62 ± 0.02bcd 0.66 ± 0.02a 0.47 ± 0.05a 39.04 ± 0.03abc 2.92 ± 0.04bcde 75.66 ± 6.52ab
28 15.58 ± 0.02a 3.57 ± 0.01abc 6.20 ± 0.01b 0.31 ± 0.01abc 2.67 ± 0.06abcd 0.70 ± 0.01a 0.49 ± 0.04a 38.72 ± 0.20bcde 2.99 ± 0.01abc 72.95 ± 6.45ab
U + I 7 15.29 ± 0.04b 3.57 ± 0.01abc 6.27 ± 0.04ab 0.33 ± 0.01abc 2.57 ± 0.02d 0.70 ± 0.02a 0.51 ± 0.04a 39.20 ± 0.26ab 3.03 ± 0.03a 80.14 ± 3.40ab
14 15.32 ± 0.01b 3.58 ± 0.01ab 6.18 ± 0.04b 0.33 ± 0.01abc 2.69 ± 0.03abc 0.71 ± 0.06a 0.44 ± 0.03a 39.04 ± 0.04abc 3.07 ± 0.03a 75.90 ± 3.84ab
21 15.27 ± 0.05b 3.58 ± 0.01ab 6.26 ± 0.03ab 0.35 ± 0.02a 2.71 ± 0.02ab 0.71 ± 0.05a 0.50 ± 0.04a 39.40 ± 0.24a 3.07 ± 0.04a 74.67 ± 4.47ab
28 15.30 ± 0.04b 3.58 ± 0.01a 6.32 ± 0.06a 0.33 ± 0.01abc 2.64 ± 0.03bcd 0.72 ± 0.04a 0.49 ± 0.01a 39.53 ± 0.17a 3.06 ± 0.06a 66.74 ± 6.06b
Tm ns ns ns * *** ns ns * ns *
Significance Tr *** *** ** ** * ns ns *** *** ns
Tm*Tr ns ns * ns ** ns ns * ns ns

Different letters in columns indicate statistically significant differences at p < 0.05 according to two-way ANOVA with interaction followed by Tukey’s test. Significance: ns, *, **, and ***, not significant or significant at p < 0.05, p < 0.01, or p < 0.001, respectively. Average value ± standard deviation (n = 3). Abbreviations: C, control wine; I, wine with infusion of vine-shoot chips; U + I, wine with ultrasound and infusion of vine-shoot chips. E, Ethanol; TA, titratable acidity: as tartaric acid; VA, volatile acidity: as acetic acid; TarA, tartaric acid; MA, malic acid; LA, lactic acid; DRE, dry reduced extract.

Also, TA, VA, TarA slightly changed compared to control, without considerable oenological impact. As regards the interaction between time and treatment (Tm*Tr), significant variations were observed for TA, TarA and DRE, though, also in this case, variations were of low oenological relevance.

3.2. Phenolic composition, antioxidant activity and colour indices

The results for phenolic composition, antioxidant activity and colour indices analysed by a two-way ANOVA, considering interactions between sampling time (Tm) and treatments (Tr), are shown in Table 2. Both treatment and time influenced most of the parameters considered. Tm*Tr interactions resulted significant for all phenolic parameters (except for F and FRV), antioxidant activity and colour indices. This result indicated that the effect of the vine-shoot treatments applied depended upon the contact time with chips. The evolution of all these parameters has been also represented in Fig. S1 of Supplementary Materials.

Table 2.

Incidence of sampling time (Tm, 7, 14, 21, 28 days) and treatments (Tr) on phenolic composition, activity antioxidant and colour indices of Primitivo wines.

Days TPC
(mg/L)
A
(mg/L)
F
(mg/L)
AADPPH
(µmol trolox eq/L)
AAABTS
(µmol trolox eq/L)
FRV
(mg/L)
P
(mg/L)
FRV/P CI T
C 7 2821.8 ± 116.0abc 346.0 ± 6.9a 2600.5 ± 33.5ab 11850.0 ± 325.0d 17159.5 ± 288.7cd 1605.7 ± 10.3abc 2746.1 ± 54.0abc 0.58 ± 0.01a 0.99 ± 0.01a 0.68 ± 0.01e
14 2863.1 ± 116.6ab 333.7 ± 2.5ab 2488.4 ± 9.1abcd 14366.7 ± 312.6bc 17094.0 ± 226.1cd 1613.9 ± 77.1ab 2877.1 ± 56.5abc 0.56 ± 0.03ab 0.91 ± 0.01de 0.66 ± 0.01e
21 2769.4 ± 50.1abcd 336.8 ± 11.0ab 2670.0 ± 94.1a 14833.3 ± 570.3bc 18594.0 ± 116.2a 1517.0 ± 20.4bcd 3041.5 ± 143.5a 0.50 ± 0.02 cd 0.94 ± 0.01cd 0.66 ± 0.01e
28 2756.3 ± 6.6abcd 311.7 ± 8.7bc 2503.5 ± 33.9abcd 15525.0 ± 597.4ab 18385.7 ± 71.4ab 1690.0 ± 14.6a 2920.4 ± 137.1ab 0.58 ± 0.02ab 0.98 ± 0.01ab 0.68 ± 0.01e
I 7 2964.3 ± 109.9a 297.4 ± 8.7cd 2560.2 ± 46.7abc 16250.0 ± 350.0a 15403.6 ± 146.2e 1409.4 ± 32.7de 2679.3 ± 35.2cde 0.53 ± 0.01bc 0.95 ± 0.01bc 0.76 ± 0.01cd
14 2573.1 ± 37.9 cd 259.7 ± 3.3e 2405.4 ± 12.3cde 13691.7 ± 170.2c 17207.1 ± 236.2cd 1442.9 ± 19.7de 2425.4 ± 59.1f 0.60 ± 0.02a 0.81 ± 0.01h 0.75 ± 0.01d
21 2592.4 ± 30.2bcd 267.1 ± 9.5e 2470.2 ± 91.0bcd 14141.7 ± 464.6c 17689.3 ± 357.1bc 1334.3 ± 37.4e 2530.1 ± 22.9def 0.53 ± 0.01bc 0.83 ± 0.01gh 0.75 ± 0.01cd
28 2578.0 ± 100.2bcd 230.6 ± 2.3f 2323.8 ± 27.8de 14200.0 ± 625c 17397.6 ± 168.8cd 1454.5 ± 45.6cde 2461.1 ± 26.0ef 0.59 ± 0.01a 0.87 ± 0.01fg 0.79 ± 0.01b
U + I 7 2768.0 ± 219.1abcd 277.5 ± 8.0de 2446.3 ± 100.0bcde 14975.0 ± 442.3abc 15698.2 ± 116.1e 1373.1 ± 31.6de 2402.3 ± 46.1f 0.57 ± 0.01ab 0.96 ± 0.01abc 0.78 ± 0.01bc
14 2693.0 ± 88.8abcd 258.7 ± 6.7e 2419.1 ± 70.5bcde 13858.3 ± 610.5c 16885.7 ± 523.4d 1426.4 ± 16.0de 2439.8 ± 91.6f 0.59 ± 0.03a 0.82 ± 0.01h 0.76 ± 0.01cd
21 2557.3 ± 10.4cd 255.8 ± 12.6e 2491.2 ± 86.6abcd 13875.0 ± 132.3c 17415.5 ± 149.8cd 1335.3 ± 6.9e 2807.7 ± 7.7abc 0.48 ± 0.01cd 0.88 ± 0.01ef 0.78 ± 0.01bc
28 2494.6 ± 52.0d 212.0 ± 13.4f 2272.4 ± 34.5e 14425 ± 278.4bc 16885.7 ± 280.6d 1375.0 ± 53.6de 3037.7 ± 128.1a 0.45 ± 0.03d 0.89 ± 0.01ef 0.83 ± 0.03a
Tm *** *** *** * *** *** *** *** *** ***
Significance Tr *** *** *** ns *** *** *** *** *** ***
Tm*Tr * * ns *** *** ns *** *** *** ***

Different letters in columns indicate statistically significant differences at p < 0.05 according to two-way ANOVA with interaction followed by Tukey’s test. Significance: ns, *, **, and ***, not significant or significant at p < 0.05, p < 0.01, or p < 0.001, respectively. Average value ± standard deviation (n = 3). Abbreviations: C, control wine; I, wine with infusion of vine-shoot chips; U + I, wine with ultrasound and infusion of vine-shoot chips; TPC, total phenolic content: as gallic acid equivalents; A, anthocyanins: as malvidin-3-glucoside; F, flavonoids: as (+)-catechin; antioxidant activity by DPPH and ABTS assay; FRV, flavans reactive with vanillin: as (+)-catechin; P, proanthocyanidins: as cyanidin chloride; CI, colour intensity; T, tonality.

In general, the addition of vine-shoot chips caused the reduction of total phenolic content (TPC), anthocyanins (A), flavonoids (F), antioxidant activity (ABTS assay), flavans reactive with vanillin (FRV), proanthocyanidins (P) and colour intensity (CI). In particular, the TPC of I wine, decreased after 28 days of contact with chips, compared to 7 days of contact, with a similar value than wine U + I. The reduction of phenolic fraction could be correlated to the adsorption/precipitation of these compounds, mainly anthocyanins, onto the chips, as reported in previous studies [28], [32]. Although to a lesser extent, wine C also suffered a decrease in TPC and A during the storage time. This downtrend of phenolic fraction during time could be due to processes of polymerisation, oxidation, and complexation occurring in wine [53]. However, C wine showed higher values of A during storage, compared to the other samples treated with chips. The A decrease was more marked in wines treated with ultrasound. Closely related to A were colour indices. Both treatments resulted in a reduction in CI (p < 0.001) and an increase in tonality (T) (p < 0.001). The CI decreased in the wines I and U + I during the time of contact with chips, indicating a more rapid evolution of colour. Moreover, the contact with vine-shoot chips determined higher levels of T than the control, which increased over time, especially for U + I wine. In particular, wine U + I presented the highest T, followed by I and C. T is indicative of the colour evolution of red wine according to the prevalence of yellow tones (420 nm) on red tones (520 nm) [54]. In general, the increase of T value indicated the shift to orange tone, which determine the brick-red colour typical of aged wines [55]. The increase of T in wine added with toasted vine-shoot chips was in agreement with previous studies in which red wines were aged with chips of different wood origins [28], [32], [56]. These changes in colour characteristics can be linked to the reduction in the content of free anthocyanins responsible for the red colour, and to several extractable wood components able to react with anthocyanins to form more stable polymeric complexes contributing to the improvement and stabilization of colour [28], [57], [58]. Moreover, it is worth emphasizing that the colour characteristics and anthocyanin concentration were both particularly affected by ultrasound treatment. This could be attributed to a greater extraction of wood molecules which react with anthocyanins, as reported before, and to degradation and polymerization reactions induced by ultrasound [52]. As regards P, their content in the U + I wine increased during contact time: P had the lowest value at 7 days and the highest at 28 days compared to the other two treatments. The effect of contact with vine-shoot chips on FRV/P ratio differed in the treatments under comparison: C wine showed the highest level after 7 days and at 28 days, comparable to I wine. On the other hand, U + I wine was characterized by the lowest value after 28 days, that is indicative of a wine with less astringency. These results agree with those reported by Gambacorta et al. [4], where the sonication process reduced the FRV/P ratio and increased the proanthocyanidins content. It is well known that a low FRV/P ratio characterizes wines suitable of chromatic and tannic stabilization [59]. Therefore, ultrasonication could accelerate the ageing process of wine. Considering DPPH assay the antioxidant activity increased after 28 days for C wine, which showed the highest value of this parameters compared to the treated wines. Otherwise in all wine the antioxidant activity increased after 28 days when considering the ABTS assay. This difference could be explained by the different phenolic composition of the wines over time. Indeed, although the two assays are very similar, the antioxidant activity of certain classes of phenolic compounds (i.e., dihydroalcohols and flavonones) can be better determined by ABTS than DPPH assay [60].

3.3. Phenolic profile

Table 3 shows the composition of phenolic compounds of wines, which were grouped in different chemical groups: flavonoids (anthocyanins, flavonols, flavanols), phenolic acids and stilbenes. In general, the prolonged contact between wine and vine shoots caused a decrease in the phenolic fraction. This result agrees with the research of Cebrián-Tarancón et al. [31], in which the addition of vine-shoot chips during winemaking generated lower levels of total low molecular weight phenolic compounds than those of the control wines.

Table 3.

Incidence of sampling time (Tm, 7, 14, 21, 28 days) and treatments (Tr) on phenolic profile of Primitivo wines.

C
I
U + I
Tm Tr Tm*Tr
Anthocyanins (mg/L) 7 14 21 28 7 14 21 28 7 14 21 28
De-3-glc2 14.9 ± 1.7ab 16.8 ± 0.7a 13.1 ± 2.5bcd 13.2 ± 0.5bcd 14.2 ± 0.9abc 12.2 ± 0.1bcde 10.3 ± 0.2defg 8.0 ± 1.5g 13.2 ± 0.04bcd 11.7 ± 0.6cdef 9.8 ± 0.08efg 8.6 ± 0.3 fg *** *** *
Pet-3-glc2 35.8 ± 5.2ab 38.4 ± 1.1a 31.2 ± 5.8abcd 30.2 ± 1.7bcde 34.1 ± 0.2abc 27.6 ± 0.5cdef 24.3 ± 0.1defg 19.2 ± 3.2g 31.2 ± 0.2abcd 28.6 ± 0.4bcde 23.2 ± 0.6efg 20.2 ± 0.1 fg *** *** ns
Peo-3-glc2 20.5 ± 3.0abc 21.5 ± 1.2ab 18.6 ± 1.4abcd 19.8 ± 0.4abc 22.3 ± 0.2a 16.6 ± 0.6cde 14.3 ± 0.2def 11.6 ± 3.3f 17.8 ± 0.2abcd 16.0 ± 0.3cdef 12.8 ± 0.2ef 17.3 ± 2.9bcde *** *** ***
Mav-3-glc1 459.5 ± 37.4cd 565.1 ± 12.9a 509.7 ± 14.2b 447.2 ± 19.6cd 512.3 ± 9.5b 453.0 ± 3.1cd 378.1 ± 1.7e 339.6 ± 8.8ef 483.7 ± 2.7bc 438.2 ± 5.3d 368.5 ± 5.4e 320.9 ± 4.9f *** *** ***
VitA2 14.9 ± 2.6ab 16.1 ± 0.5a 15.1 ± 2.7a 15.1 ± 0.6a 15.0 ± 0.2a 13.7 ± 0.3ab 13.9 ± 0.2ab 11.1 ± 2.2b 13.9 ± 0.5ab 14.4 ± 0.5ab 13.6 ± 0.4ab 13.3 ± 0.3ab * ** *
VitB2 5.7 ± 1.2ab 5.5 ± 0.3ab 4.2 ± 1.0bcd 6.0 ± 0.1a 5.3 ± 0.2abc 4.5 ± 0.03bcd 5.3 ± 0.3ab 3.6 ± 0.4d 4.7 ± 0.2abcd 4.6 ± 0.3abcd 3.8 ± 0.1 cd 4.6 ± 0.1abcd * *** ***
Mv-3-O-glc-(epi)cat2 9.4 ± 1.2ab 5.8 ± 0.3d 4.7 ± 1.1def 7.5 ± 0.3c 9.8 ± 0.1a 5.0 ± 0.1de 8.2 ± 0.2bc 3.5 ± 0.6f 5.5 ± 0.2d 4.9 ± 0.1def 3.9 ± 0.1ef 3.9 ± 0.01ef *** *** ***
Pet-3-(6′'-act)-glc2 3.9 ± 0.7a 3.9 ± 0.3a 3.2 ± 0.9ab 3.6 ± 0.1ab 4.1 ± 0.02a 3.3 ± 0.1ab 3.5 ± 0.05ab 2.5 ± 0.5b 3.5 ± 0.2ab 3.3 ± 0.1ab 2.3 ± 0.9b 3.1 ± 0.02ab ** * *
Peo-3-(6′'-act)-glc2 3.5 ± 0.4ab 3.5 ± 0.1ab 3.0 ± 0.7abc 3.3 ± 0.03abc 3.6 ± 0.03a 2.6 ± 0.1cde 3.2 ± 0.02abc 1.9 ± 0.4de 3.0 ± 0.03abc 2.7 ± 0.2bcd 2.1 ± 0.01de 1.8 ± 0.1e *** *** ***
Mv-3-(6′'-act)-glc2 53.7 ± 7.4ab 57.7 ± 2.0a 48.1 ± 10.0abcd 48.3 ± 0.7abcd 52.4 ± 0.6abc 45.1 ± 0.9bcde 38.3 ± 0.1def 20.6 ± 3.1g 47.5 ± 0.7abcd 41.7 ± 0.6cdef 34.8 ± 0.4ef 31.0 ± 0.03 fg *** *** ***
Pet-3-(6′'-t-cm)-glc2 9.0 ± 0.4b 10.3 ± 0.3a 9.0 ± 0.2b 9.2 ± 0.3b 7.6 ± 0.1c 5.9 ± 0.1de 5.4 ± 0.2e 2.4 ± 0.3g 6.5 ± 0.3d 5.7 ± 0.2e 3.5 ± 0.2f 4.1 ± 0.02f *** *** ***
Mv-3-(6′'-c-cm)-glc2 2.9 ± 0.2bc 3.5 ± 0.1ab 2.8 ± 0.7c 3.7 ± 0.1a 3.6 ± 0.02ab 2.5 ± 0.05cd 2.7 ± 0.02cd 1.5 ± 0.03e 2.4 ± 0.1cd 2.5 ± 0.1 cd 2.0 ± 0.2de 2.1 ± 0.1de *** *** ***
Peo-3-(6′'-t-cm)-glc2 7.5 ± 0.5ab 8.3 ± 0.7a 5.9 ± 2.2bc 6.9 ± 0.2ab 5.7 ± 0.2bc 4.2 ± 0.1cd 2.4 ± 0.01def 1.7 ± 0.2f 4.7 ± 0.2c 3.9 ± 0.1cde 1.9 ± 0.1ef 2.6 ± 0.3def *** *** *
Mv-3-(6′'-t-cm)-glc2 55.8 ± 3.5ab 62.9 ± 2.7a 46.5 ± 14.9bc 47.7 ± 1.4bc 43.2 ± 0.1bc 37.3 ± 0.7c 23.1 ± 0.3de 14.5 ± 1.8e 40.1 ± 2.0c 36.0 ± 0.1cd 20.1 ± 1.0e 20.0 ± 0.4e *** *** *
Total 696.7 ± 36.6bc 819.9 ± 20.3a 710.4 ± 63.2b 661.7 ± 24.3bcd 733.1 ± 10.1b 633.4 ± 3.7cd 543.1 ± 17.9ef 441.9 ± 15.3g 677.8 ± 5.0bcd 614.3 ± 8.4de 502.5 ± 6.3 fg 454.4 ± 8.0 g *** *** ***
Phenolic acids (mg/L)
Gallic acid1 228.5 ± 36.2abc 247.1 ± 5.9ab 241.0 ± 9.5abc 224.2 ± 7.5bc 242.2 ± 1.0abc 252.7 ± 2.6ab 217.7 ± 7.0bc 206.3 ± 21.8c 237.9 ± 9.4abc 255.4 ± 3.3ab 216.0 ± 1.1bc 266.6 ± 8.2a ** * ***
Caftaric acid1 102.3 ± 12.1ab 108.1 ± 3.6a 85.6 ± 17.3b 94.3 ± 3.5ab 104.4 ± 3.3ab 106.8 ± 1.1a 95.3 ± 3.0ab 84.3 ± 8.6b 102.8 ± 2.3ab 107.4 ± 1.8a 96.7 ± 1.1ab 113.4 ± 5.7a *** * *
cis-Coutaric acid3 14.6 ± 2.2a 15.8 ± 0.03a 15.3 ± 3.3a 14.3 ± 0.3a 15.0 ± 0.6a 15.7 ± 0.5a 14.4 ± 0.3a 14.5 ± 0.4a 14.0 ± 1.8a 15.9 ± 0.1a 16.2 ± 0.9a 16.0 ± 0.01a ns ns ns
cis-Fertaric acid3 10.8 ± 2.3a 11.7 ± 0.3a 13.0 ± 3.6a 11.8 ± 0.4a 12.2 ± 0.2a 11.2 ± 0.2a 11.0 ± 0.3a 10.4 ± 0.3a 12.0 ± 0.04a 11.6 ± 0.2a 11.4 ± 0.1a 11.8 ± 0.1a ns ns ns
trans-Fertaric acid3 5.5 ± 0.5ab 6.2 ± 0.2ab 7.1 ± 2.8a 5.5 ± 0.1ab 5.9 ± 0.2ab 5.2 ± 0.1ab 4.9 ± 0.2ab 3.8 ± 0.05b 5.4 ± 0.2ab 6.0 ± 0.1ab 4.5 ± 0.3b 6.2 ± 0.05ab ns * *
Syringic acid1 11.1 ± 0.7def 13.6 ± 0.5a 10.0 ± 0.2g 11.9 ± 0.5cde 11.5 ± 0.2cdef 13.1 ± 0.2ab 12.1 ± 0.1bc 11.0 ± 0.2efg 11.1 ± 0.1cdef 12.0 ± 0.3cd 10.6 ± 0.4fg 11.3 ± 0.02cdef *** *** ***
Ellagic acid1 4.8 ± 0.8cde 7.0 ± 0.3ab 6.7 ± 1.1abc 5.5 ± 0.4bcde 6.6 ± 0.2abc 5.4 ± 0.2bcde 4.3 ± 1.5de 6.0 ± 0.2bcd 5.1 ± 0.5bcde 8.5 ± 1.1a 5.7 ± 0.6bcd 3.5 ± 0.02e *** ns ***
Total 377.5 ± 50.5abc 409.6 ± 9.2ab 379.7 ± 21.1abc 367.5 ± 10.8bc 398.7 ± 4.7ab 410.1 ± 1.3ab 359.9 ± 11.2bc 336.2 ± 31.5c 389.3 ± 13.7abc 416.8 ± 3.7ab 361.1 ± 1.1bc 429.9 ± 13.8a *** * **
Flavonols (mg/L)
Q3OG4 4.1 ± 0.7ab 4.3 ± 0.1a 3.6 ± 0.5abc 3.2 ± 0.4bcd 3.6 ± 0.1abc 3.3 ± 0.02abc 2.1 ± 0.1d 2.8 ± 0.6cd 4.2 ± 0.6ab 3.3 ± 0.03abc 2.4 ± 0.3cd 3.2 ± 0.04abc *** *** *
Myricetin1 4.5 ± 0.4b 5.4 ± 0.2a 1.6 ± 0.2d 1.1 ± 0.1e 2.0 ± 0.2cd 1.9 ± 0.1 cd nd nd 2.3 ± 0.05c 1.9 ± 0.1cd nd nd *** *** ***
Quercetin1 3.3 ± 0.3b 4.1 ± 0.1a 1.4 ± 0.1cd 1.3 ± 0.1cd 1.5 ± 0.1c 1.1 ± 0.1d nd nd 1.4 ± 0.2cd 1.2 ± 0.01cd nd nd *** *** ***
Total 11.9 ± 1.4b 13.9 ± 0.2a 6.6 ± 0.5cd 5.6 ± 0.1d 7.0 ± 0.2 cd 6.3 ± 0.1cd 2.1 ± 0.1e 2.8 ± 0.6e 7.9 ± 0.8c 6.4 ± 0.1cd 2.4 ± 0.3e 3.2 ± 0.1e *** *** ***
Flavanols (mg/L)
Procyanidin B15 95.8 ± 9.7ab 91.5 ± 3.7ab 80.7 ± 20.9bc 88.4 ± 4.4abc 108.0 ± 13.3a 87.6 ± 2.3abc 82.9 ± 1.9abc 75.9 ± 1.1bc 101.0 ± 13.4ab 87.0 ± 0.9abc 76.5 ± 3.3bc 64.9 ± 1.1c *** ns ns
(+) catechin1 47.5 ± 4.1b 45.5 ± 6.2e 51.8 ± 2.7ab 44.8 ± 1.8bc 37.9 ± 2.4cd 57.6 ± 1.7a 36.9 ± 0.6cd 48.2 ± 4.7ab 48.7 ± 7.2ab 48.6 ± 2.0ab 31.4 ± 1.0de 45.8 ± 2.7bc ** * ***
Procyanidin B25 69.1 ± 7.4b 68.1 ± 7.0b 39.4 ± 7.8c 45.9 ± 2.0c 83.9 ± 7.0ab 71.7 ± 6.8ab 46.7 ± 1.2c 44.9 ± 1.4c 88.1 ± 5.6a 68.3 ± 9.1b 46.3 ± 1.5c 69.1 ± 5.4b *** *** **
C I U + I Tm Tr Tm*Tr
7 14 21 28 7 14 21 28 7 14 21 28
Procyanidin B35 47.5 ± 3.9a 51.2 ± 2.3a 57.5 ± 2.4a 54.0 ± 3.2a 52.4 ± 3.1a 57.8 ± 6.5a 47.4 ± 4.4a 60.7 ± 5.3a 47.2 ± 3.2a 61.4 ± 2.1a 57.1 ± 4.1 56.3 ± 1.4a ns ns ns
(-) epicatechin1 39.1 ± 2.4ab 38.9 ± 1.0abc 31.8 ± 1.5de 26.6 ± 0.4ef 40.7 ± 2.7a 34.5 ± 2.6bcd 24.3 ± 0.6f 23.9 ± 1.1f 32.6 ± 2.2d 32.7 ± 0.9d 33.8 ± 1.2 cd 25.2 ± 2.5f *** *** ***
Total 299.1 ± 16.3abc 259.7 ± 13.5de 268.3 ± 27.1cde 264.9 ± 11.0cde 322.9 ± 1.1a 309.3 ± 9.7abc 231.1 ± 13.6e 272.3 ± 18.8bcde 317.5 ± 28.3ab 298.0 ± 10.3abcd 236.4 ± 4.5e 269.9 ± 1.3cde *** ns **
Stilbenes (mg/L)
trans-piceid6 nd nd nd nd 2.1 ± 0.01a 2.0 ± 0.1ab 1.7 ± 0.1ab 1.1 ± 0.4c 1.8 ± 0.2ab 2.0 ± 0.1ab 1.7 ± 0.1b 1.9 ± 0.01ab *** *** ***
trans-Resveratrol1 0.9 ± 0.05ef 1.0 ± 0.1ef 0.7 ± 0.04f 0.6 ± 0.03f 2.2 ± 0.1ab 2.4 ± 0.1a 1.3 ± 0.03de 1.7 ± 0.4cd 1.8 ± 0.4bc 2.2 ± 0.02abc 1.3 ± 0.02e 1.2 ± 0.1e *** *** **
Total 0.9 ± 0.05d 1.0 ± 0.08d 0.7 ± 0.04d 0.6 ± 0.03d 4.3 ± 0.1ab 4.4 ± 0.09a 3.0 ± 0.1c 2.8 ± 0.7c 3.6 ± 0.6bc 4.1 ± 0.1ab 2.9 ± 0.09c 3.1 ± 0.1c *** *** **
TOTAL 1386.2 ± 81.3abc 1504.0 ± 38.5a 1365.7 ± 100.3abc 1300.3 ± 44.6 cd 1466.1 ± 13.5ab 1363.5 ± 12.3abc 1139.2 ± 17.4e 1056.0 ± 66.4e 1396.2 ± 38.9abc 1339.7 ± 19.6bc 1105.3 ± 10.5e 1160.4 ± 13.2de *** *** ***

In row, different letters indicate statistically significant differences at p < 0.05 according to two-way ANOVA with interaction followed by Tukey’s test. Significance: ns, *, **, and ***, not significant or significant at p < 0.05, p < 0.01, or p < 0.001, respectively. Average value ± standard deviation (n = 3). Abbreviations: C, control wine; I, wine with infusion of vine-shoot chips; U + I, wine with ultrasound and infusion of vine-shoot chips; nd, not detected; De-3-glc, Delphinidin 3-glucoside; Pet-3-glc, Petunidin 3-glucoside; Peo-3-glc, Peonidin 3-glucoside; Mav-3-glc, Malvidin 3-glucoside; VitA, Vitisin A; VitB, Vitisin B; Mv-3-O-glc-(epi)cat, Malvidin-3-O-glucoside-(epi)cathechin; Pet-3-(6′'-act)-glc, Petunidin-3-(6′'-acetyl)-glucoside; Peo-3-(6′'-act)-glc, Peonidin-3-(6′'-acetyl)-glucoside; Mv-3-(6′'-act)-glc, Malvidin 3-(6′'-acetyl)-glucoside; Pet-3-(6′'-t-cm)-glc, Petunidin 3-(6′'-t-coumaroyl)-glucoside; Mv-3-(6′'-c-cm)-glc, Malvidin 3-(6′'-c-coumaroyl)-glucoside; Peo-3-(6′'-t-cm)-glc, Peonidin 3-(6′'-t-coumaroyl)-glucoside; Mv-3-(6′'-t-cm)-glc, Malvidin 3-(6′'-t-coumaroyl)-glucoside; Q3OG, Quercetin 3-O-glucuronide.

1

Quantified using corresponding standards; 2expressed as malvidin 3-glucoside equivalents; 3expressed as caftaric acid; 4expressed as quercetin; 5expressed as (+) catechin; 6expressed as trans-Resveratrol.

The most abundant anthocyanin was, as expected, malvidin 3-glucoside. The anthocyanins total content was dependent on the time and the treatment applied (p < 0.001). In fact, all wines had similar concentrations after 7 days, but the concentration was higher in the control wine after 14 days. After 28 days, the concentration decreased in wines I and U + I by 40 % and 33 %, respectively, showing a similar trend than anthocyanins quantified by spectrophotometry. Although with different reduction percentages, these results are in agreement with previous studies in which the effect of wood chips on phenolic wine composition was evaluated [30], [32], [57], [61]. This decrease could be explained by the adsorption of anthocyanins on vine-shoot chips [62]. No substantial effects of the ultrasound treatment were observed in the anthocyanin profile compared to chips infusion.

The total phenolic acids concentration was dependent on the sampling time (p < 0.001) and the treatment applied (p < 0.05). After 7 and 14 days, all wines had a similar concentration, but after 28 days the concentration decreased in wines C and I and increased in wine U + I (+10 %, compared to day 7). The increase was correlated to the higher concentration in gallic acid. Extraction of gallic acid from chips was therefore enhanced by ultrasound treatment [63].

Flavonols, a group of compounds in the flavonoid family, included quercetin 3-O-glucuronide, myricetin and quercetin. Their total concentration was affected by treatment (p < 0.001) and sampling time (p < 0.001): they decreased in the experimental wine after the addition of chips, decreased in all wine during storage and eventually disappeared from the aged wines as in the case of myricetin and quercetin for I and U + I wine at 21 and 28 days of sampling. Literature reports increases of flavonols after contact with oak chips. These contrasting results could be related to the different botanical origin of the chips used in this research [64].

All wines had a similar concentration of total flavanols, but after 14 days the concentration decreased. In terms of single compounds, procyanidin B1 was the most abundant compound and remained constant after each treatment, though decreasing during contact time.

The total stilbenes concentration and the stilbenic composition were dependent on the treatment applied and the treatment time (p < 0.001): I and U + I wines had higher total stilbene concentration than C wines, but the concentration decreased during the contact with chips (after 14 days). Specifically, the only stilbenic compounds quantified in wines were trans-piceid and trans-resveratrol. The first one was present only in I and U + I samples in similar concentrations, the second one increased with the addition of toasted vine-shoots chips (with and without ultrasound treatment) if compared with control wines. Similar concentrations of trans-resveratrol were found in a previous study [31] which observed that the addition of vine-shoots made a significant increase of this compound to wines, independent of the time of addition during the winemaking process. In fact, several authors have demonstrated that vine-shoots are a source of stilbenes (especially trans-resveratrol) [65], [66]. Moreover, their beneficial effects on human health related to wine consumption were widely discussed [67], [68].

3.4. Volatile compounds

A total of 49 compounds were identified in the whole set of samples and divided into nine chemical groups: alcohols (12), aldehydes (7), acetate esters (7), ethyl esters (11), other esters (2), ketones (2), terpenes (2), noroisoprenoids (1), carboxylic acids (5) (Table S1). Among them thirteen compounds exhibited OAVs greater than one (Table S2).

Fig. 1 reports a polar heatmap with a circular dendrogram obtained from a hierarchical cluster analysis. Hierarchical clustering highlights groups with similar behaviour among both wines and volatile compounds [69]. Clustering showed that the wines treated with toasted vine-shoot chips and ultrasound had volatile profiles different from control wine. In fact, four clusters were obtained for wine samples (marked with red, blue, green, and violet colour). The volatile compounds were instead clustered in seven groups (marked with red, blue, green, violet, yellow, turquoise, brown colour looking at clockwise the circular heatmap). The first cluster (analysing clockwise the circular heatmap) included four aldehydes, two esters and one terpene. This cluster characterized the wines obtained by only chips infusion and ultrasonic treatment and chips infusion. Particular attention was given to the class of aldehydes. Probably, these compounds were transferred into wines because of contact with toasted vine-shoot chips. In particular, furfural and 5-methylfurfural are two furan compounds generated during the toasting process of the chips, which determined in wine toasted almond and caramel aromas [70]. The first originates from pentose compounds of hemicelluloses, the second one derives from hexoses present in cellulose [71]. Furfural was detected in control wine at very low concentration, while it was higher in the treated wines although decreased during time (Table S1). In fact, once furfural has been extracted from toasted vine-shoots chips, can be involved in different reaction which occur in wine over time [72], [73], [74]. Both furfural and 5-methylfurfural have been found in wines treated with chips of different botanical origin [75], [76]. The volatile compounds belonging to this first cluster included benzaldehyde, which is responsible of bitter almond-like notes [77], methyl-2-furoate (fruity notes) [78], ethyl-2-furoate (balsamic notes) [79] and α-terpineol (sweet, floral notes) [80]. These compounds, despite having an OAV < 1, could contribute to the wine aroma through an additive effect with other similar compounds [81]. The second and third cluster contained 10 alcohols, 1 aldehyde, 4 esters and 1 terpene. Most of alcohols were contained at higher concentration in wine samples treated with chips (I wines after 21 days and U + I wines after 7 days of contact with chips). Alcohols are wine volatile fermentative compounds which could positively influence the wine aromatic profile, increasing the fruity and flowery notes [82]. Among them, 2-phenylethanol and 1-octen-3-ol had an odour OAV > 1. Moreover, other compounds of these cluster had an OAV > 1: linalool which characterized the wines I and U + I after 7 and 21 days of treatment; decanal which was particularly present in control wines after 28 days of contact, in I wines up to 21 days of treatment and U + I up to 14. The fourth cluster contained 4 volatile compounds that characterized wines treated with toasted vine-shoot chips after 14 and 28 days of contact. Among them, the compounds with an OAV > 1 have been related to perceptions of green (octanal) or green and citrus (nonanal) [83], [84]. Finally, the last three clusters particularly characterized the wines control and contained most of esters (ethyl and acetate esters). Esters are related to fruity and floral notes in young wines. Their fermentative origin is linked to amino acid metabolism in the case of acetates, and fatty acid metabolism for ethyl esters [85], [86], [87]. The total concentration of ethyl esters and acetate esters is affected by both treatments and time (Table S1). The control wine had the highest total concentration of these compounds, on the other hand, treated wines showed a decreasing trend during time. This reduction might have been caused by their hydrolysis [88]. Moreover, the wood chips added could absorb esters, resulting in a decrease in the content of these compounds, as reported in previous studies [88], [89], [90]. In these clusters, isoamyl acetate, ethyl butyrate, ethyl isovalerate, ethyl hexanoate, ethyl heptanoate, ethyl octanoate, all linked to fruity notes had an OAV > 1. The other compounds found in these clusters have been related to perception such as fruit and sweet (β-damascenone, OAV > 1) and fruity, cheese, fatty, and green notes (acetic acid, hexanoic acid, octanoic acid, decanoic acid) [91], [92], [93].

Fig. 1.

Fig. 1

Polar heatmap with a circular dendrogram deriving from a hierarchical cluster analysis of the volatile profiles of the wine samples. Abbreviations: C, control wine; I, wine with infusion of vine-shoot chips; U + I, wine with ultrasound and infusion of vine-shoot chips. The sampling time (days) is indicated by the figures after abbraviations (7, 14, 21, 28).

3.5. Sensory analysis

The analysis of variance did not show significant differences among the tested ageing modes in any time, except for olfactory intensity and persistence and overall score (Fig. 2). After 7 days of treatment (Fig. 2a), wine U + I had higher olfactory intensity than wines I and C. These latter had obtained a higher score than U + I for the overall score. After 14 days (Fig. 2b), wine C exhibited less olfactory intensity and persistence than the other wines. Finally, after 28 days of treatment, wines I and U + I had higher olfactory intensity than C. Statistically significant differences among the wines were obtained for the overall score: after 14, 21 and 28 days of treatment, wine I received the highest score, followed by U + I and C (Fig. 2b, 2c, 2d).

Fig. 2.

Fig. 2

Incidence of treatment and sampling time on sensory profile of control wine (C), wine treated with ultrasound and infusion of toasted vine-shoot chips (U + I), wine with infusion of toasted vine-shoot chips (I) after 7 (a), 14 (b), 21 (c) and 28 (d) sampling days.*Sensory parameters where there is significantly difference among the wines (Tukey test, p < 0.05). Abbreviations: C, control wine; I, wine with infusion of vine-shoot chips; U + I, wine with ultrasound and infusion of vine-shoot chips.

Wine olfactory profile was also valuated by check-all-that-apply (CATA) approach. The assessment of the selected aroma descriptors was performed via smell and represented by correspondence analysis, displayed in Fig. 3. Soft fruits, cherry and liquorice notes were highly appreciated in all wines at any of the moments. Up to 28 days of treatment, fragrance notes of chocolate, toasted, oak, smoky and vanilla were perceived only in wines treated with toasted vine-shoots chips, with and without ultrasounds. The perception of these notes related to wood could possibly have been due to the toasting vine-shoots chips added, since these aromas come from compounds generated during the wood toasting (such as furanic compounds) [36], [94] and they are typical of wines aged in barrels or with wood chips [28], [74], [76]. The effect of ultrasound on sensory properties could be observed for shorter contact times (7–14 days), conferring green, black pepper, smoky notes to wines.

Fig. 3.

Fig. 3

Correspondence analysis of aroma descriptors of control wine (C), wine with infusion of toasted vine-shoot chips (I), wine with ultrasound and infusion of toasted vine-shoot chips (U + I) after 7, 14, 21 and 28 sampling days.

The global scores of tasters’ preferences for each wine are shown in Fig. 4a. According to the process used, lower ranking values correspond to higher judges’ preferences. Significant differences were found among the wine samples only after 14 and 28 days of treatment, using Friedman’s test. These results can be explained by the fact that “preference” is a subjective concept: certain characteristics (such as wood notes) were considered as positive by some judges but as negative by others. Therefore, Fig. 4b shows in detail the percentage of tasters who had chosen each wine in first, second or third place by preference. After 7 days, wine C was chosen in first place (i.e., the most preferred wine) by 50 % of tasters and in third place (i.e., the least preferred wine) by 25 % of tasters, whereas wine U + I was placed as third by 62.5 % of tasters. Differently, after 14 days, 62.5 % of tasters preferred wine I (first place), followed by U + I and C. Even after 21 days, wine I was chosen in first place by 50 % of tasters, in second by 37.5 % of tasters and in third only by 12.5 %. After 28 days, 50 % of the tasters continued to prefer wine I (first and second place, 50 %), placing C wine in the last place (62.5 %).

Fig. 4.

Fig. 4

Global scores (sum of rankings) (a) and percentage of tasters who have rated in descending rank order of preference (from 1° to 3°) (b) each wine samples, after each time of treatment. Abbreviations: C, control wine; I, wine with infusion of vine-shoot chips; U + I, wine with ultrasound and infusion of vine-shoot chips.

4. Conclusions

Traditional ageing of wines is a complex process in which several chemical reactions take place and, frequently, the long-time of storage is incompatible with market requirements and represents a high cost for wineries. The implementation of new techniques able to accelerate the process while ensuring the wine quality is highly demanded. Ultrasound technology combined with the use of wood chips could be a promising technology to reduce ageing times. The main results of this work applied to Primitivo wine demonstrated that the combination of ultrasound with addition of vine-shoot chips can have a significant influence on the phenolic composition, favouring tannin evolution that could accelerate the ageing process. Also, olfactory properties can be tuned by ultrasound treatment, when combined with shorter contact with chips. On the other hand, longer contact times with toasted vine-shoot chips could determine an enrichment of compounds associated with new wood-related aromas (i.e., furfural, 5-methylfurfural, benzaldehyde, methyl-2-furoate, ethyl-2-furoate) and notes of chocolate, toasted, oak or vanilla which were positively considered by the tasters involved in the study.

According to the results obtained, vine-shoots could be considered a viticultural waste that may be turned into an oenological coadjuvant if appropriately treated with ultrasound and used during wine ageing. In this case, they would acquire a new life and provide enormous management and economic advantages for wineries.

Ethical statement

Participants gave informed consent via the statement “I am aware that my responses are confidential, and I agree to participate in this survey” where an affirmative reply was required to enter the survey. They were able to withdraw from the survey at any time without giving a reason. The products tested were safe for consumption.

CRediT authorship contribution statement

Mirella Noviello: Writing – original draft, Visualization, Methodology, Investigation. Vito Michele Paradiso: Writing – review & editing, Visualization, Supervision, Methodology, Conceptualization. Giuseppe Natrella: Writing – review & editing, Formal analysis, Data curation. Giuseppe Gambacorta: Writing – review & editing, Formal analysis, Data curation. Michele Faccia: Writing – review & editing, Validation, Resources. Francesco Caponio: Writing – review & editing, Supervision.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Acknowledgements

This project received no specific funding. The present study was designed as a part of Mirella Noviello’s PhD thesis. Prof. Vito Michele Paradiso and Prof. Giuseppe Gambacorta are the supervisors of the thesis.

Footnotes

Appendix A

Supplementary data to this article can be found online at https://doi.org/10.1016/j.ultsonch.2024.106826.

Appendix A. Supplementary data

The following are the Supplementary data to this article:

Supplementary data 1
mmc1.docx (367.9KB, docx)

Data availability

Data will be made available on request.

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Associated Data

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Supplementary Materials

Supplementary data 1
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Data Availability Statement

Data will be made available on request.


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