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. 2022 Nov 30;32(3):283–298. doi: 10.1007/s10068-022-01194-w

Study on volatile compounds formed from the thermal interaction of hydrolyzed vegetable proteins with reducing sugars

Hyunsu Cho 1, Min Kyung Park 2, Young-Suk Kim 1,
PMCID: PMC9905368  PMID: 36778086

Abstract

Hydrolyzed vegetable proteins (HVPs) are widely used food flavorings. This study investigated the volatiles formed in thermally reacted model systems containing HVPs (made from defatted soy, corn gluten, and wheat gluten) and reducing sugars (glucose and fructose). Three types of HVPs, which had different free amino acid compositions, generated qualitatively and quantitatively different volatile compounds. In the results of principal component analysis, each thermally reacted system could be distributed according to type of HVPs and sugars. Aldehydes and pyrazines highly correlated with glucose- and fructose-containing model systems, respectively. In particular, model systems containing soy HVPs showed higher contents of sugar-degraded compounds, such as maltol, furfuryl alcohol, and cyclotene. However, some Strecker aldehydes and nitrogen-containing heterocyclic compounds, whose formation required amino acids, were more abundant in model systems containing corn and wheat HVP.

Supplementary Information

The online version contains supplementary material available at 10.1007/s10068-022-01194-w.

Keywords: Hydrolyzed vegetable proteins, Reducing sugars, Maillard reaction, Volatile compounds

Introduction

Hydrolyzed vegetable proteins (HVPs) have been widely used as savory flavoring agents in various processed foods (Jung et al., 2020). Using acid hydrolysis, conventional HVPs are normally made from various plant sources, such as soy, wheat gluten, and maize (Jung et al., 2020). Through hydrolysis of HVP, proteins or peptides are decomposed into amino acids, which are precursors in the Maillard reaction.

The Maillard reaction, a non-enzymatic chemical reaction, generates various volatile compounds that can significantly affect the flavors of foods (Wang et al., 2021). Numerous volatiles, including heterocyclic compounds, can be made from the Maillard reaction between an amino group of amino acids and a carbonyl group of reducing sugars (Alpert et al., 2016). Also, Strecker degradation occurs through the degradation of amino acids initiated by dicarbonyls, causing the deamination and decarboxylation of amino acids. In addition, sugar degradation is involved in specific flavor components during the Maillard reaction. Nursten (2005) has classified the volatile compounds produced by the Maillard reaction into three groups: 1. simple sugar dehydration/fragmentation products, including furans, pyrans, cyclopentenes, carbonyls, and acids, 2. simple amino acid degradation products, including aldehydes and sulfur compounds, and 3. volatiles produced by further interactions, including pyrroles, pyridines, imidazoles, pyrazines, oxazoles, and thiazoles.

Several researchers have investigated the volatile compounds produced by the thermal reaction between HVPs and reducing sugars. Yoon et al. (1994) has analyzed the meat-like volatiles thermally formed from a mixture of defatted soy HVP and fructose syrup and identified volatile flavor compounds with meat-like odor, including 3-methylbutanal, 2-methyltetrahydrothiophene-3-one, and 3,4-dimethylthiophene. A previous study of the Maillard reaction of soybean protein hydrolysates with xylose and cysteine identified nitrogenous and sulfurated heterocyclic compounds, which can cause a meat-like flavor (Song et al., 2013). When cereal-based protein hydrolysates were thermally reacted with glucose, most of the flavor compounds derived from the cereal-based hydrolysates were similar to those from the animal-based products, suggesting the possibility of replacing animal-based products with cereal-based ones (Chiang et al., 2022). Karangwa et al. (2016) has found that the Maillard reaction of corn protein hydrolysates with xylose and cysteine generated kokumi-like flavoring.

HVPs are made from various plant protein sources, which have different amino acid compositions. Therefore, different amino acid compositions can impact the volatile compounds formed during thermal reactions, eventually affecting the flavor characteristics. In the Maillard reaction, the type of amino acid plays a key role not only in the rate of reaction but also in the properties of the flavor compounds produced. For example, sulfur-containing amino acids induce meat- or coffee-like flavor notes, whereas valine, leucine, and isoleucine cause chocolate-like flavor notes (Nursten, 2005). A previous study on the Maillard reaction demonstrated that different types of amino acids influenced volatile formation both quantitatively and qualitatively (Cho et al., 2010).

This study investigated the effects of types of HVP and reducing sugar on the formation of volatile compounds in model system. Different types of HVPs (soy, corn, and wheat) were reacted with the reducing sugars (fructose and glucose). Also, the amino acid composition and the degree of hydrolysis of the HVPs were identified in order to study the effects of the precursors of the volatile compounds.

Materials and methods

Chemicals

HVPs made from soy, corn, and wheat were provided by Sempio Food Company (Seoul, South Korea). Defatted soy, wheat gluten, and corn gluten were hydrolyzed with hydrochloric acid before the spray-drying process. Sodium chloride (NaCl), d-fructose, sodium sulfate, and internal standards, including (1S,2R,4S)-1,7,7-trimethylbicyclo [2.2.1] heptan-2-ol [(-)-borneol] for solid-phase microextraction (SPME) and tridecan-2-one for solvent extraction were purchased from Sigma-Aldrich Chemical Co (St. Louis, MO, USA). HPLC-grade water and methylene chloride were obtained from J.T. Baker (Phillipsburg, NJ, USA).

Measurement of the degree of hydrolysis

The degree of hydrolysis (DH) of each HVP was measured. The ratio of α-amino nitrogen to total nitrogen was determined using the method of Zhou et al. (2021). The α-amino nitrogen was measured by formaldehyde titration, performed according to Lee et al. (1997). The Kjeldahl method was used to determine the total nitrogen and performed at the Korea Health Supplement Institute (Seongnam-si, Gyeonggi-do, South Korea).

Analysis of free amino acids

Free amino acid analysis was conducted by the Korea Health Supplement Institute using high-performance liquid chromatography (HPLC), following the Food Code of the Ministry of Food and Drug Safety (Cheongju-si, Chungcheongbuk-do, Korea). The amino acid standard mixture was purchased from Agilent Technologies (Palo Alto, CA, USA). A 1 g homogeneous sample was accurately weighed, and distilled water (J.T. Baker, Phillipsburg, NJ, USA) was added to extract the free amino acids. After centrifugation, the water layer was collected. Then, the residue obtained by concentrating and drying the water layer under reduced pressure was dissolved with a 0.2 M sodium citrate buffer (pH 2.2). Before injection into the HPLC, a pre-column derivatization of the free amino acids using the O-phthaldialdehyde reagent (OPA) was performed. The injection volume was 10 μL, and an Agilent liquid chromatograph system (Agilent Technology, Palo Alto, CA, USA) with a PDA (338 nm and 262 nm) detector, and a Capcellpak UG120 C18 (250 mm × 4.6 mm 5 μm, OSAKA SODA, Osaka, Japan) column was used for the analysis. The samples were eluted in a gradient mode with 40 mM NaCl (pH 3.5) for eluent A, and acetonitrile/methanol/water (45/45/10, v/v/v) for eluent B. The flow rate was 1.5 mL/min at 40 °C.

Preparation of Maillard reaction samples

The NaCl content of the HVPs varied, which could affect the Maillard reaction (Yamaguchi et al., 2009). Thus, the NaCl concentration was measured using a salt meter (model TM-30D, Takemura electric works. LTD., Tokyo, Japan). Then, the NaCl content was adjusted to that of the soy HVP, which had the highest original NaCl content. The amounts of NaCl added to the corn and wheat HVPs are given in Table 1. Before adding the NaCl, 6.25 g of each HVP was weighed. Then, 3.125 g of the reducing sugar (fructose and glucose) was added. These prepared samples were mixed with HPLC-grade water to a final volume of 50 mL before being transferred to a 250 mL stainless steel cylinder (Ilshinautoclave, Daejeon-si, Korea). The samples were named after the combination of initials for the HVPs and reducing sugars: CF, CG, SF, SG, WF, and WG, as shown in Table 2. Each sample was adjusted to pH 7.5 with 2 M NaOH, before the thermal reaction was conducted at 120 °C for 90 min in a drying oven (Eyela NDO-600SD, Rikakikai Co. Ltd., Tokyo, Japan).

Table 1.

Measured NaCl content and calculated amount of added NaCl

Soy Wheat Corn
NaCl (%) 46.6 10.0 9.8
NaCl in 6.25 g of Each HVP 2.913 g 0.625 g 0.613 g
Added NaCl 2.288 g 2.300 g

Table 2.

Model systems named as a combination of hydrolyzed vegetable proteins (HVPs) and reducing sugars

HVPs
Corn Soy Wheat
Reducing sugars
 Fructose CF SF WF
 Glucose CG SG WG

Analysis of volatile compounds

Two types of extraction methods were used to analyze the volatile compounds. For SPME, which collects the volatile compounds in a headspace, 5 g of thermally reacted sample was transferred into a sealed vial, where it was allowed to equilibration time for 30 min at 40 °C. The adsorption time was 30 min with a fiber coated with polydimethylsiloxane/divinylbenzene (PDMS/DVB, 65 μm, Supelco, Bellefonte, PA, USA). After the volatile extraction, volatile compounds were analyzed using a 7890A gas chromatograph (GC, Agilent Technologies, Santa Clara, CA, USA) coupled with a 5977B mass selective detector (Agilent Technologies, Santa Clara, CA, USA). A DB-5MS capillary column (30 m length × 0.25 mm i.d. × 0.25 μm film thickness, J&W Scientific, Folsom, CA, USA) was used to separate the volatile compounds. Helium (99.999%) was used as the carrier gas at a flow rate of 0.8 mL/min. The GC oven temperature started at 40 °C, held for 5 min, rose to 185 °C at 3 °C/min, and reached 200 °C at a rate of 5 °C/min, where it was held for 5 min. The injector and the transfer line temperatures were 230 °C and 280 °C, respectively. These volatile compounds were monitored by the electron impact (EI) ion source at 70 eV and scanned in the range 35–350 atomic mass units (a.m.u.).

For the solvent extraction (SE), 50 mL of methylene chloride was added to a separating funnel containing the sample. After vigorously shaking the funnel at 250 rpm for 40 min using a separatory funnel shaker (JISICO, Seoul, South Korea), the lower layer of the sample was taken. The same was washed with HPLC-grade water three times, then dried to 0.3 mL using a gentle flow of nitrogen gas (99.999%). Using the same GC–MS instrument as above, 1 μL of the final sample was studied. The GC oven temperature was initially held at 40 °C for 5 min, then increased to 200 °C at 5 °C/min, and held for 5 min. Other conditions were identical to those above.

The compound was positively verified by comparing the retention time and mass spectral data of each volatile with those of standard compounds. If standards were unavailable, each volatile compound was tentatively identified using the NIST.08 and Wiley.9 mass spectral databases and relative retention index (RI) values. The RI values of volatile compounds were estimated using n-alkanes from C7 to C30 as external standards. The relative contents of volatile compounds were obtained by comparing the peak areas of the volatile compounds to that of an internal standard compound. All experiments were performed in triplicate.

Statistical analysis

The quantified results are presented as means ± standard deviation. All identified compounds were statistically analyzed using analysis of variance (ANOVA) using SPSS (IBM Corp., Armonk, NY, USA) to confirm the significant differences between samples. Duncan’s multiple range test was implemented at a significance level of α = 0.05. Principal component analysis (PCA) was also applied to the GC–MS data to verify the discrimination between model systems using the SIMCA-P software (version 16.0, Umetrics, Umea, Sweden).

Result and discussions

In this study, two different extraction methods for volatiles were performed to investigate the differences according to the types of vegetable proteins. Volatile compounds obtained from SPME and solvent extraction are listed in Tables 3 and 4, respectively. In the result of SPME analysis, volatile aldehydes, pyrazines, and sulfur containing compounds were more abundant than solvent extraction methods. On the other hand, more volatiles with relatively low volatility, such as lactones and nitrogen-containing heterocyclic compounds (pyrazines, pyrroles, pyridines, piperidines, pyrrolidines, and pyrimidine), were detected using solvent extraction.

Table 3.

Solid-phase microextraction (SPME) analysis of volatile compounds for each Maillard-reacted sample

NOa RIb Compound CAS Relative peak areac IDe
CFd SF WF CG SG WG
Alcohol
A1 974 heptan-1-ol 111-70-6 NDf ND ND NDag 0.003 ± 0.003a NDa A
A2 1031 2-ethylhexan-1-ol 104-76-7 NDa NDa 0.019 ± 0.004b NDa NDa 0.021 ± 0.003b A
A3 1177 5-methyl-2-propan-2-ylcyclohexan-1-ol 1490-04-6 ND ND ND 0.006 ± 0.003a 0.004 ± 0.004a 0.023 ± 0.030a A
A4 1373 tetradecan-1-ol 112-72-1 ND ND ND 0.004 ± 0.001b NDa NDa A
A5 1374 undecan-1-ol 112-42-5 0.009 ± 0.008a NDa NDa ND ND ND A
A6 1474 dodecan-1-ol 112-53-8 ND ND ND NDa 0.305 ± 0.037b NDa A
A7 1474 dec-1-ene 872-05-9 0.207 ± 0.020b 0.284 ± 0.011c 0.147 ± 0.012a ND ND ND A
A8 1592 octadecan-1-ol 112-92-5 ND ND ND NDa 0.006 ± 0.001b NDa A
A9 1793 hexacosan-1-ol 506-52-5 ND ND ND NDa 0.007 ± 0.001b NDa C
Aldehyde
D1 669 3-methylbutanal 590-86-3 NDa 0.680 ± 0.006b NDa NDa 0.907 ± 0.071b NDa A
D2 671 pentanal 110-62-3 0.525 ± 0.161b NDa 0.612 ± 0.064b 1.038 ± 0.037b NDa 1.340 ± 0.035c A
D3 805 hexanal 66-25-1 ND ND ND NDa 0.041 ± 0.010b NDa A
D4 904 heptanal 111-71-7 NDa 0.012 ± 0.001b NDa NDa 0.076 ± 0.010b 0.045 ± 0.035b A
D5 959 benzaldehyde 100-52-7 0.336 ± 0.014b 0.232 ± 0.016a 0.523 ± 0.028c 0.216 ± 0.016a 0.211 ± 0.016a 0.500 ± 0.100b A
D6 1003 octanal 124-13-0 0.034 ± 0.011b 0.069 ± 0.004c 0.016 ± 0.004a 0.021 ± 0.002a 0.246 ± 0.018c 0.046 ± 0.004b A
D7 1042 2-phenylacetaldehyde 122-78-1 NDa 0.063 ± 0.007b NDa 0.075 ± 0.009c NDa 0.043 ± 0.001b A
D8 1101 (E)-5-methyl-2-propan-2-ylhex-2-enal 35158-25-9 NDa 0.019 ± 0.001b NDa NDa 0.014 ± 0.001b 0.037 ± 0.003c A
D9 1104 nonanal 124-19-6 0.151 ± 0.030b 0.171 ± 0.016b 0.092 ± 0.017a 0.045 ± 0.022a 0.499 ± 0.054b 0.098 ± 0.012a A
D10 1153 2-phenylprop-2-enal 4432–63-7 0.025 ± 0.033a NDa NDa ND ND ND B
D11 1205 decanal 112-31-2 0.016 ± 0.009a 0.039 ± 0.012b 0.018 ± 0.007a 0.026 ± 0.013a 0.051 ± 0.015b 0.030 ± 0.007ab A
D12 1261 (E)-dec-2-enal 3913-81-3 ND ND ND NDa 0.021 ± 0.005b NDa A
D13 1265 (E)-2-phenylbut-2-enal 4411-89-6 0.004 ± 0.003a 0.004 ± 0.001a 0.003 ± 0.001a 0.011 ± 0.000b 0.006 ± 0.001a 0.007 ± 0.002a A
D14 1307 undecanal 112-44-7 0.006 ± 0.006a 0.024 ± 0.007b NDa 0.009 ± 0.004b 0.022 ± 0.005c NDa A
D15 1363 4-methyl-2-phenylpent-2-enal 26643-91-4 NDa 0.003 ± 0.001b NDa NDa NDa 0.020 ± 0.014b A
D16 1363 (E)-dodec-3-enal 68083-57-8 ND ND ND NDa 0.020 ± 0.006b NDa B
D17 1408 dodecanal 112-54-9 0.069 ± 0.036a 0.106 ± 0.101a 0.094 ± 0.030a 0.073 ± 0.029a 0.176 ± 0.057b NDa A
D18 1480 (E)-5-methyl-2-phenylhex-2-enal 21834-92-4 0.015 ± 0.003a 0.033 ± 0.001b 0.068 ± 0.001c 0.006 ± 0.001a 0.032 ± 0.004b 0.064 ± 0.019c A
D19 1510 tetradecanal 124–25-4 ND ND ND NDa NDa 0.152 ± 0.086b A
D20 1750 3,5-ditert-butyl-4-hydroxybenzaldehyde 1620-98-0 ND ND ND NDa NDa 0.006 ± 0.001b B
Esters
E1 1112 heptyl acetate 112-06-1 0.017 ± 0.015ab 0.025 ± 0.007b NDa 0.020 ± 0.008a 0.021 ± 0.011a 0.019 ± 0.006a A
E2 1148 2-ethylhexyl acetate 103-09-3 NDa NDa 0.008 ± 0.002b ND ND ND A
E3 1369 (3-hydroxy-2,4,4-trimethylpentyl) 2-methylpropanoate 74367-34-3 0.031 ± 0.003a 0.035 ± 0.002b 0.048 ± 0.001c 0.020 ± 0.006b 0.051 ± 0.000c NDa C
E4 1369 hexyl 2-methylpropanoate 2349-07-7 ND ND ND NDa NDa 0.031 ± 0.017b C
E5 1681 bis(2-methylpropyl) hexanedioate 141-04-8 0.003 ± 0.003a NDa NDa ND ND ND B
E6 1824 propan-2-yl tetradecanoate 110-27-0 ND ND ND NDa 0.022 ± 0.004c 0.009 ± 0.004b A
Hydrocarbons
H1 1300 tridecane 629-50-5 0.002 ± 0.001a 0.005 ± 0.000b NDa NDa 0.003 ± 0.003a NDa A
H2 1321 2,6,10,14-tetramethylhexadecane 638-36-8 ND ND ND 0.001 ± 0.002a NDa NDa C
H3 1374 octylcyclopropane 1472-09-9 NDa NDa 0.014 ± 0.006b NDa NDa 0.014 ± 0.004b C
H4 1400 tetradecane 629-59-4 0.011 ± 0.002a 0.014 ± 0.003a 0.007 ± 0.005a NDa 0.016 ± 0.001a 0.065 ± 0.096a A
H5 1410 N,1,2,3,4,5-hexamethylcyclopenta-2,4-dien-1-amine 138902-00-8 NDa NDa 0.068 ± 0.004b NDa NDa 0.035 ± 0.027b C
H6 1474 nonylcyclopropane 74663-85-7 NDa 0.006 ± 0.002b NDa 0.041 ± 0.004b NDa NDa C
H7 1530 cyclodecane 293-96-9 0.005 ± 0.005a NDa NDa ND ND ND A
H8 1530 cyclododecane 294-62-2 0.019 ± 0.001b 0.017 ± 0.004b 0.008 ± 0.003a 0.006 ± 0.001a 0.033 ± 0.009a 0.895 ± 0.712b C
H9 1532 (5S,9S)-5,9-dimethylpentadecane NDa 0.015 ± 0.009b NDa ND ND ND C
H10 1532 2-methyltetradecane 1560-95-8 ND ND ND NDa NDa 0.006 ± 0.004b C
H11 1600 hexadecane 544-76-3 0.006 ± 0.002a 0.009 ± 0.001b 0.004 ± 0.002a NDa 0.009 ± 0.005b 0.005 ± 0.001ab A
H12 1676 cyclotetradecane 295–17-0 NDa NDa 0.014 ± 0.001b ND ND ND B
H13 1677 tetradec-1-ene 1120–36-1 NDa 0.025 ± 0.002b NDa NDa NDa 0.052 ± 0.034b C
H14 1714 heptadecane 629-62-9 NDa 0.017 ± 0.005b NDa NDa 0.019 ± 0.006b NDa A
H15 1741 8-heptylpentadecane 71005-15-7 NDa NDa 0.007 ± 0.002b ND ND ND C
Ketones
K1 943 2-methyldecan-5-one 54410-89-8 ND ND ND NDa NDa 0.006 ± 0.001b C
K2 1022 3-methylcyclopentane-1,2-dione 765-70-8 ND ND ND NDa 0.003 ± 0.003a NDa B
K3 1062 1-phenylethanone 98-86-2 0.070 ± 0.002a 0.067 ± 0.001a 0.170 ± 0.005b 0.059 ± 0.002a 0.068 ± 0.002b 0.172 ± 0.003c A
K4 1090 nonan-2-one 821-55-6 0.004 ± 0.004a NDa NDa 0.005 ± 0.001a 0.016 ± 0.003b 0.008 ± 0.000a A
K5 1120 1-phenylpropan-2-one 103-79-7 NDa NDa 0.004 ± 0.001b ND ND ND A
K6 1144 (3aR,7aS)-7a-methyl-2,3,3a,4-tetrahydro-1H-inden-5-one 17429-25-3 0.006 ± 0.003a NDb NDb ND ND ND C
K7 1191 decan-2-one 693-54-9 ND ND ND NDa 0.023 ± 0.003b NDa A
K8 1291 undecan-2-one 112-12-9 ND ND ND NDa 0.007 ± 0.001a 0.019 ± 0.017a A
K9 1346 (Z)-2-methyl-1-phenylbut-2-en-1-one 19847-64-4 0.002 ± 0.002a NDa NDa ND ND ND C
K10 1348 (E)-4-phenylbut-3-en-2-one 122–57-6 NDa NDa 0.001 ± 0.001a ND ND ND A
K11 1415 1-(4-methoxyphenyl)ethanone 100-06-1 0.037 ± 0.007b NDa NDa ND ND ND A
K12 1457 2,6-ditert-butylcyclohexa-2,5-diene-1,4-dione 719–22-2 0.056 ± 0.018a 0.066 ± 0.009a 0.064 ± 0.011a 0.014 ± 0.004a 0.177 ± 0.017c 0.092 ± 0.047b B
K13 1466 2,5-ditert-butylcyclohexa-2,5-diene-1,4-dione 2460-77-7 NDa 0.001 ± 0.002a NDa ND ND ND B
K14 1670 pentadecan-8-one 818–23-5 ND ND ND NDa 0.044 ± 0.011b 0.048 ± 0.029b C
Lactones
L1 948 5-methyloxolan-2-one 108-29-2 0.024 ± 0.002c 0.011 ± 0.001b NDa 0.023 ± 0.002b NDa NDa A
N-containing compounds
N1 1135 2-phenylacetonitrile 140-29-4 ND ND ND NDa NDa 0.032 ± 0.006b A
N2 1136 2-methylbenzonitrile 529-19-1 NDa NDa 0.003 ± 0.000b ND ND ND C
Pyrazines
P1 824 2-methylpyrazine 109-08-0 0.036 ± 0.010b 0.041 ± 0.006b NDa ND ND ND A
P2 911 2,6-dimethylpyrazine 108-50-9 0.564 ± 0.050c 0.239 ± 0.016b NDa ND ND ND A
P3 911 2,5-dimethylpyrazine 123-32-0 NDa NDa 0.532 ± 0.011b 0.075 ± 0.029b NDa 0.049 ± 0.001b A
P4 930 2-ethenylpyrazine 4177-16-6 ND ND ND 0.004 ± 0.006a NDa NDa A
P5 995 2-ethyl-6-methylpyrazine 13925-03-6 NDa 0.043 ± 0.004b NDa NDa 0.034 ± 0.003c 0.015 ± 0.000b B
P6 999 2,3,5-trimethylpyrazine 14667-55-1 0.084 ± 0.009b NDa 0.101 ± 0.017b NDa NDa 0.048 ± 0.006b A
P7 1014 2-ethenyl-6-methylpyrazine 13925-09-2 0.011 ± 0.001b NDa NDa 0.005 ± 0.008a NDa NDa B
P8 1052 2-methyl-5-propan-2-ylpyrazine 13925-05-8 0.071 ± 0.005c NDa 0.063 ± 0.003b 0.030 ± 0.000b NDa 0.035 ± 0.004b B
P9 1074 3-ethyl-2,5-dimethylpyrazine 13360-65-1 0.174 ± 0.024b 0.038 ± 0.004a 0.211 ± 0.006c 0.033 ± 0.004a 0.051 ± 0.006b 0.101 ± 0.002c B
P10 1128 2,3-dimethyl-5-propan-2-ylpyrazine 40790-21-4 0.013 ± 0.000c NDa 0.011 ± 0.000b NDa NDa 0.009 ± 0.001b C
P11 1156 2,5-dimethyl-3-propylpyrazine 18433-97-1 NDa NDa 0.024 ± 0.000b ND ND ND B
P12 1187 2,5-bis(1-methylethyl)pyrazine 0.004 ± 0.000b NDa NDa ND ND ND C
P13 1191 2,5-diethyl-3,6-dimethylpyrazine 18903-30-5 NDa NDa 0.037 ± 0.003b ND ND ND C
P14 1196 2,5-dimethyl-3-(2-methylpropyl)pyrazine 32736-94-0 0.018 ± 0.001b NDa 0.045 ± 0.001c 0.006 ± 0.000b NDa 0.038 ± 0.001c B
P15 1233 2-methyl-3-(2-methylpropyl)pyrazine 13925-06-9 ND ND ND NDa NDa 0.008 ± 0.009a C
P16 1245 2-methyl-3-propylpyrazine 15986-80-8 NDa NDa 0.004 ± 0.001b ND ND ND C
P17 1245 2-butyl-3-methylpyrazine 15987-00-5 0.002 ± 0.002a NDa NDa ND ND ND C
P18 1247 2-methyl-6-(3-methylbutyl)pyrazine 91010-41-2 0.017 ± 0.001a 0.008 ± 0.001a 0.019 ± 0.010a NDa 0.007 ± 0.006a 0.040 ± 0.039a B
P19 1297 3,5-dimethyl-2-(2-methylbutyl)pyrazine 56617-70-0 0.011 ± 0.000b NDa NDa ND ND ND B
P20 1297 2,5-dimethyl-3-(2-methylbutyl)pyrazine 72668-36-1 NDa NDa 0.040 ± 0.001b NDa NDa 0.055 ± 0.030b B
P21 1309 2,3-dimethyl-5-(3-methylbutyl)pyrazine 18450-01-6 ND ND ND NDa 0.007 ± 0.000b NDa B
P22 1309 2,5-dimethyl-3-(3-methylbutyl)pyrazine 18433-98-2 0.164 ± 0.010b NDa 0.388 ± 0.014c NDa NDa 0.144 ± 0.122a B
P23 1309 2-butyl-3,5-dimethylpyrazine 50,888–63-6 NDa 0.010 ± 0.000b NDa 0.023 ± 0.001b NDa NDa C
P24 1349 2-(furan-2-yl)-5-methylpyrazine 27610-38-4 NDa 0.031 ± 0.001b NDa ND ND ND C
P25 1358 2,5-dimethyl-3-pentylpyrazine 56617-69-7 ND ND ND NDa 0.017 ± 0.023a NDa B
Pyridines
PD1 1541 4-methyl-6-phenylpyrimidine 17759-27-2 NDa NDa 0.007 ± 0.002b ND ND ND C
Furan and Furanones
OF1 857 furan-2-ylmethanol 98-00-0 NDa 0.023 ± 0.005b NDa NDa 0.029 ± 0.006b NDa A
OF2 1125 1-(5-methylfuran-2-yl)propan-1-one 10599-69-6 NDa 0.008 ± 0.001b NDa ND ND ND B
OF3 1219 3-phenylfuran 13679-41-9 0.065 ± 0.015a 0.049 ± 0.003a 0.049 ± 0.004a 0.112 ± 0.008a 0.143 ± 0.008b 0.281 ± 0.008c B
OF4 1335 5-Pentyl-2(5H)-furanone ND ND ND 0.006 ± 0.002b NDa NDa B
Oxides
ORX1 1307 2-hexadecyloxirane 7390-81-0 ND ND ND NDa NDa 0.087 ± 0.113a C
Phenols
PH1 1083 2-methoxyphenol 90-05-1 0.052 ± 0.006a NDb NDb 0.050 ± 0.007b NDa NDa A
Sulfur-containing compounds
S1 741 (methyldisulfanyl)methane 624–92-0 0.495 ± 0.241b 0.101 ± 0.014a 0.306 ± 0.022ab 0.172 ± 0.028b 0.087 ± 0.021a 0.238 ± 0.047b A
S2 892 2-(methyldisulfanyl)propane 40136-65-0 NDa NDa 0.015 ± 0.004b ND ND ND B
S3 907 3-methylsulfanylpropanal 3268-49-3 0.025 ± 0.003c NDa 0.017 ± 0.003b 0.046 ± 0.007b NDa 0.040 ± 0.003b A
S4 964 (methyltrisulfanyl)methane 3658-80-8 0.339 ± 0.080ab 0.274 ± 0.008a 0.387 ± 0.025b 0.157 ± 0.017a 0.153 ± 0.017a 1.274 ± 1.746a A
S5 968 2-methyl-1-(methyldisulfanyl)propane 67421-83-4 NDa NDa 0.007 ± 0.001b ND ND ND B
S6 1080 3-methylthiophene-2-carbaldehyde 5834-16-2 0.011 ± 0.001a NDa 0.030 ± 0.002b NDa NDa 0.018 ± 0.023a A
S7 1209 (methyltetrasulfanyl)methane 5756-24-1 NDa NDa 0.019 ± 0.002b ND ND ND A

aAll volatile compounds are listed in their chemical class in the order of their RI values

bRetention indices were calculated using C6–C30 n-alkanes as external standards

cMean values of relative peak area to the area of internal standard ± standard deviation (n = 3)

dCF corn with fructose reacted model system, SF soy with fructose reacted model system, WF wheat with fructose reacted model system, CG corn with glucose reacted model system, SG soy with glucose reacted model system, WG wheat with glucose reacted model system

eIdentification of the compounds was based on the following: A mass spectrum and retention index agreed with those of standard compounds under the same conditions (positive identification); B mass spectrum and retention index were consistent with those from the NIST library (tentative identification); C mass spectrum was consistent with that of the W9N08 library (Wiley and NIST) and manual interpretation (tentative identification)

fND: Not detected

gDuncan’s multiple comparison test was used for both fructose models (CF, SF, and WF) and glucose models (CG, SG, and WG) to analyze significant difference (p < 0.05) between samples

Table 4.

Solvent extraction analysis of volatile compounds for each Maillard-reacted sample

NOa RIb Compound CAS Relative peak areac IDd
CF SF WF CG SG WG
Alcohols
A1 1037 phenylmethanol 100-51-6 0.229 ± 0.214af NDae 0.104 ± 0.133a NDa NDa 0.200 ± 0.305a A
A2 1066 (1R,2S)-cyclohexane-1,2-diol 1792-81-0 ND ND ND NDa NDa 0.045 ± 0.078a C
A3 1186 1-(2-butoxyethoxy)ethanol 54446-78-5 0.115 ± 0.073b NDa NDa ND ND ND B
A4 1881 heptacosan-1-ol 2004-39-9 0.332 ± 0.575a 0.829 ± 1.435a ND ND ND ND C
Benzene derivatives
B1 1321 cyclohexylbenzene 827-52-1 0.139 ± 0.049a 0.104 ± 0.033a 0.173 ± 0.061a 0.124 ± 0.060a 0.063 ± 0.061a 0.115 ± 0.040a A
B2 1480 N-(2-phenylethyl)formamide 23069-99-0 NDa 0.015 ± 0.027a NDa 0.077 ± 0.097a NDa NDa B
Acids
C1 1176 octanoic acid 124-07-2 NDa NDa 0.049 ± 0.023b 0.023 ± 0.026a NDa NDa A
C2 1272 nonanoic acid 112-05-0 NDa NDa 0.111 ± 0.096a 0.084 ± 0.121a 0.023 ± 0.040a NDa A
C3 1565 dodecanoic acid 143-07-7 0.069 ± 0.072a NDa NDa 0.006 ± 0.010a NDa NDa A
C4 1957 hexadecanoic acid 57-10-3 1.057 ± 0.838a 0.408 ± 0.149a 1.254 ± 0.027a 0.739 ± 1.063a 0.368 ± 0.441a 1.337 ± 1.732a A
Aldehydes
D1 792 (E)-2-ethenylbut-2-enal 20521-42-0 ND ND ND NDa NDa 0.169 ± 0.133b B
D2 963 benzaldehyde 100-52-7 0.710 ± 0.317a 0.523 ± 0.254a 0.572 ± 0.081a 1.364 ± 1.415a 0.877 ± 0.853a 0.818 ± 0.529a A
D3 1044 2-phenylacetaldehyde 122-78-1 1.498 ± 1.054a 2.192 ± 0.956a 0.587 ± 0.129a 2.415 ± 1.984a 7.011 ± 5.351a 1.159 ± 0.404a A
D4 1105 nonanal 124-19-6 0.101 ± 0.125a NDa 0.071 ± 0.061a NDa NDa 0.007 ± 0.012a A
D5 1263 (E)-dec-2-enal 3913-81-3 NDa NDa 0.043 ± 0.009b ND ND ND A
D6 1268 (E)-2-phenylbut-2-enal 4411-89-6 NDa NDa 0.024 ± 0.009b 0.087 ± 0.039b NDa 0.037 ± 0.016a A
D7 1372 4-hydroxybenzaldehyde 123-08-0 NDa NDa 0.052 ± 0.020b NDa NDa 0.049 ± 0.058a A
D8 1434 2-(dimethylhydrazono)-3,3-dimethoxypropanal ND ND ND 0.150 ± 0.107b NDa NDa C
D9 1437 (E)-3-phenylprop-2-enal 104-55-2 NDa NDa 0.082 ± 0.042b ND ND ND A
D10 1484 (E)-5-methyl-2-phenylhex-2-enal 21834-92-4 0.009 ± 0.016a NDa 0.036 ± 0.001b NDa NDa 0.040 ± 0.023b A
Esters
E1 873 2-oxopropyl acetate 592-20-1 ND ND ND 0.167 ± 0.246a NDa NDa B
E2 1348 (1-hydroxy-2,4,4-trimethylpentan-3-yl) 2-methylpropanoate 74367-33-2 0.026 ± 0.026a NDa 0.025 ± 0.002a NDa NDa 0.028 ± 0.009b C
Hydrocarbons
H1 1073 cyclooctane 292-64-8 NDa 0.171 ± 0.176a NDa ND ND ND C
H2 1400 tetradecane 629-59-4 0.041 ± 0.013b NDa 0.052 ± 0.025b ND ND ND A
H3 1475 cyclodecane 293-96-9 NDa 0.427 ± 0.351b NDa 0.133 ± 0.056b NDa NDa C
H4 1475 cyclododecane 294-62-2 0.126 ± 0.065b NDa 0.123 ± 0.050b NDa 0.533 ± 0.204b 0.161 ± 0.067a C
H5 1500 pentadecane 629-62-9 NDa NDa 0.077 ± 0.015b 0.007 ± 0.011a NDa NDa A
H6 1600 hexadecane 544-76-3 0.030 ± 0.026ab NDa 0.116 ± 0.071b 0.115 ± 0.159a 0.014 ± 0.025a NDa A
H7 1677 tetradec-1-ene 1120-36-1 NDa 0.095 ± 0.105a NDa ND ND ND A
H8 1677 tridec-1-ene 2437-56-1 ND ND ND NDa 0.113 ± 0.102a NDa C
H9 1677 cyclotetradecane 295-17-0 0.025 ± 0.043a NDa 0.088 ± 0.005b NDa NDa 0.070 ± 0.030b B
H10 1799 octadecane 593-45-3 0.026 ± 0.023ab NDa 0.102 ± 0.062b NDa 0.014 ± 0.024a NDa A
H11 1879 octadec-1-ene 112-88-9 ND ND ND NDa 1.166 ± 2.019a NDa A
H12 2000 icosane 112-95-8 0.003 ± 0.006a NDa 0.046 ± 0.040a ND ND ND A
Ketones
K1 932 cyclohex-2-en-1-one 930-68-7 0.788 ± 0.402a 1.499 ± 1.259a 0.456 ± 0.031a 1.763 ± 1.779a 3.293 ± 3.493a 0.775 ± 0.368a A
K2 1024 2-hydroxy-3-methylcyclopent-2-en-1-one 80-71-7 0.051 ± 0.032a 0.280 ± 0.247a NDa 0.025 ± 0.043a 0.590 ± 0.442b 0.009 ± 0.016a A
K3 1027 3-methylcyclopentane-1,2-dione 765-70-8 NDa NDa 0.017 ± 0.002b ND ND ND B
K4 1065 1-phenylethanone (acetophenone) 98-86-2 NDa NDa 0.214 ± 0.025b ND ND ND A
K5 1241 2-hydroxy-1-phenylethanone 582-24-1 0.025 ± 0.027a NDa NDa ND ND ND A
K6 1301 2,3-dimethylcyclopent-2-en-1-one 1121-05-7 0.124 ± 0.097b NDa NDa 0.171 ± 0.032b 0.090 ± 0.106ab NDa C
K7 1355 3,4,4-trimethylcyclopent-2-en-1-one 30434-65-2 0.069 ± 0.047ab 0.224 ± 0.134b NDa 0.088 ± 0.021b NDa NDa C
K8 1361 (E)-4-phenylbut-3-en-2-one 1896-62-4 0.191 ± 0.168a NDa 0.017 ± 0.000a ND ND ND B
K9 1447 1-(4-hydroxyphenyl)ethanone 99-93-4 NDa NDa 0.046 ± 0.006b ND ND ND A
K10 1449 1-(4-hydroxy-2-methylphenyl)ethanone 875-59-2 NDa 0.206 ± 0.112b NDa ND ND ND A
Lactones
L1 952 5-methyloxolan-2-one 108-29-2 2.186 ± 1.467a 1.939 ± 0.920a 0.660 ± 0.052a 4.823 ± 4.618a 3.102 ± 2.964a 1.026 ± 0.460a A
L2 959 4-methyloxolan-2-one 1679-49-8 0.266 ± 0.390a NDa NDa ND ND ND C
L3 981 4,4-dimethyloxolan-2-one 13861-97-7 NDa NDa 0.045 ± 0.006b ND ND ND C
L4 1051 5-ethyloxolan-2-one 695-06-7 0.044 ± 0.028b NDa 0.023 ± 0.001ab 0.068 ± 0.038a NDa 0.188 ± 0.291a A
L5 1160 4-hydroxyoxolan-2-one 5469-16-9 NDa 0.064 ± 0.072a NDa NDa NDa 0.073 ± 0.058b B
N-containing compounds
N1 1389 2-phenylacetamide 103-81-1 NDa NDa 0.161 ± 0.028b 0.083 ± 0.081ab NDa 0.111 ± 0.038b B
Pyrazines
P1 829 2-methylpyrazine 109-08-0 1.248 ± 0.923a 1.722 ± 1.442a 0.312 ± 0.087a 0.429 ± 0.362a 2.020 ± 3.499a 0.238 ± 0.201a A
P2 913 2,6-dimethylpyrazine 108-50-9 5.635 ± 3.218b 3.536 ± 1.831ab NDa ND ND ND A
P3 913 2,5-dimethylpyrazine 123-32-0 NDa NDa 2.371 ± 0.666b 1.498 ± 1.576a NDa 0.823 ± 0.527a A
P4 997 2-ethyl-6-methylpyrazine 13925-03-6 0.055 ± 0.018a 0.660 ± 0.754a 0.052 ± 0.019a NDa 0.441 ± 0.470a 0.060 ± 0.026a A
P5 997 2-ethyl-5-methylpyrazine 13360-64-0 ND ND ND 0.161 ± 0.184a NDa NDa B
P6 1001 2,3,5-trimethylpyrazine 14,667–55-1 0.418 ± 0.153a 0.796 ± 0.787a 0.321 ± 0.093a 0.201 ± 0.129a 0.090 ± 0.081a 0.269 ± 0.113a A
P7 1022 1-pyrazin-2-ylethanone 22-047-25-2 ND ND ND 0.385 ± 0.484a NDa 0.146 ± 0.084a A
P8 1055 2-methyl-3-propan-2-ylpyrazine 15986-81-9 ND ND ND NDa NDa 0.047 ± 0.005b B
P9 1055 2-methyl-5-propan-2-ylpyrazine 13925-05-8 0.125 ± 0.073a 0.036 ± 0.063a 0.053 ± 0.007a ND ND ND B
P10 1076 3-ethyl-2,5-dimethylpyrazine 13360-65-1 0.196 ± 0.057a 0.125 ± 0.045a 0.175 ± 0.023a 0.179 ± 0.167a 0.054 ± 0.047a 0.205 ± 0.081a A
P11 1113 1-(5-methylpyrazin-2-yl)ethanone 22047-27-4 NDa NDa 0.037 ± 0.017b NDa NDa 0.017 ± 0.015a C
P12 1119 1-(6-methylpyrazin-2-yl)ethanone 22047-26-3 0.080 ± 0.031b 0.014 ± 0.024a 0.026 ± 0.007a 0.190 ± 0.118b NDa 0.044 ± 0.007a B
P13 1130 2,3-dimethyl-5-propan-2-ylpyrazine 40790-21-4 ND ND ND 0.004 ± 0.007a NDa NDa C
P14 1197 2-(2-methylpropyl)-3,6-dimethylpyrazine 32736-94-0 ND ND ND 0.003 ± 0.005a NDa NDa B
P15 1198 3,5-dimethyl-2-(2-methylpropyl)pyrazine 70303-42-3 0.008 ± 0.014a NDa NDa ND ND ND B
P16 1202 2,5-dimethyl-3-(2-methylpropyl)pyrazine 32736-94-0 0.214 ± 0.157b NDa 0.029 ± 0.001a NDa NDa 0.026 ± 0.009b B
P17 1250 2-methyl-6-(3-methylbutyl)pyrazine 91010-41-2 NDa NDa 0.010 ± 0.003b ND ND ND B
P18 1311 3,5-dimethyl-2-propylpyrazine 32350-16-6 ND ND ND NDa NDa 0.014 ± 0.013a B
P19 1311 2-butyl-3,5-dimethylpyrazine 50888-63-6 NDa 0.163 ± 0.147a NDa ND ND ND B
P20 1311 2,5-dimethyl-3-(3-methylbutyl)pyrazine 0.064 ± 0.021b NDa NDa ND ND ND C
P21 1311 3-butyl-2,5-dimethylpyrazine NDa NDa 0.097 ± 0.027b NDa NDa 0.067 ± 0.044b C
P22 1355 2-(furan-2-yl)-5-methylpyrazine 27610-38-4 ND ND ND NDa 0.291 ± 0.092b NDa C
Pyrroles
PR1 1065 1-(1H-pyrrol-2-yl)ethanone 1072-83-9 ND ND ND 0.602 ± 0.443b NDa 0.474 ± 0.056ab A
PR2 1127 1-methylpyrrole-2-carbaldehyde 1192-58-1 ND ND ND NDa 0.009 ± 0.015a NDa A
PR3 1128 5-methyl-1H-pyrrole-2-carbaldehyde 1192-79-6 ND ND ND NDa 0.017 ± 0.030a NDa C
PR4 1234 3-ethyl-4-methylpyrrole-2,5-dione 20189-42-8 NDa NDa 0.024 ± 0.001b NDa NDa 0.024 ± 0.011b B
PR5 1294 1-(2,4-dimethyl-1H-pyrrol-3-yl)ethanone 2386-25-6 NDa NDa 0.060 ± 0.061a ND ND ND C
PR6 1403 2,5-dimethyl-1-propylpyrrole 20,282-39-7 0.071 ± 0.037b NDa NDa ND ND ND C
Pyridines
PD1 1155 1-nitroso-3,6-dihydro-2H-pyridine 55556-92-8 0.070 ± 0.043b NDa NDa ND ND ND C
PD2 1463 2-phenylpyridine 1008-89-5 NDa 0.008 ± 0.014a NDa ND ND ND A
PD3 1463 3-phenylpyridine 1008-88-4 0.026 ± 0.023a NDa NDa 0.316 ± 0.470a NDa NDa A
Piperidines
PP1 1179 piperidin-2-one 675-20-7 ND ND ND 0.006 ± 0.010a NDa NDa A
Pyrrolidines
PL1 1079 pyrrolidine-1-carbaldehyde 3760-54-1 0.039 ± 0.035a ND ND ND ND ND A
PL2 1380 1-(6,7-dihydro-5H-pyrrolizin-3-yl)ethanone 55041-85-5 0.066 ± 0.032b NDa NDa NDa NDa 0.142 ± 0.155a C
Quinolines
Q1 1211 quinazoline 253-82-7 ND ND ND 0.022 ± 0.032a NDa NDa A
Q2 1547 1-methylisoquinoline 1721-93-3 0.210 ± 0.027b NDa NDa ND ND ND A
Pyrimidine
PM1 1276 6-amino-5-methyl-1H-pyrimidin-2-one 554-01-8 NDa 0.125 ± 0.047b NDa ND ND ND C
PM2 1325 5-amino-2H-1,2,4-triazin-3-one 931-85-1 0.014 ± 0.017a NDa NDa ND ND ND C
Imidazoles
IZ1 1480 1-methyl-3-(2-phenylethyl)imidazolidine-2,4,5-trione 67867-43-0 0.049 ± 0.043a NDa NDa ND ND ND C
IZ2 1542 1-(1H-imidazo[4,5-c]pyridin-4-yl)ethanone 146874-38-6 0.127 ± 0.049a 0.264 ± 0.366a 0.068 ± 0.009a 0.040 ± 0.042a NDa NDa C
Imines
I1 1597 1H-indol-5-ol 1953-54-4 ND ND ND NDa 0.022 ± 0.028a NDa B
Furans and Furanones
OF1 837 furan-2-carbaldehyde 98-01-1 ND ND ND 0.209 ± 0.309a NDa NDa A
OF2 860 furan-2-ylmethanol 98-00-0 0.792 ± 0.983a 0.783 ± 0.300a 0.023 ± 0.005a 0.007 ± 0.012a 1.342 ± 1.544a NDa A
OF3 1063 4-hydroxy-2,5-dimethylfuran-3-one 3658-77-3 ND ND ND 0.231 ± 0.200a NDa 0.019 ± 0.033a A
OF4 1187 5-(hydroxymethyl)oxolan-2-one (5-(hydroxymethyl)dihydrofuran-2(3H)-one) 10374-51-3 0.039 ± 0.068a ND ND ND ND ND C
OF5 1223 3-phenylfuran 13679-41-9 0.105 ± 0.085a NDa 0.040 ± 0.024a 0.070 ± 0.053b NDa 0.040 ± 0.004ab A
OF6 1338 5-pentyl-2(5H)-furanone 21963-26-8 NDa NDa 0.025 ± 0.005b ND ND ND B
OF7 1358 2,5-dimethyl-3-ethylfuran 10599-62-9 ND ND ND NDa NDa 0.053 ± 0.078a C
OF8 1607 2-(phenylethenyl)tetrafuran 0.073 ± 0.011b NDa NDa ND ND ND C
Pyrans
OPN1 1107 3-hydroxy-2-methylpyran-4-one (maltol) 118-71-8 0.166 ± 0.172a 2.781 ± 2.525a 0.120 ± 0.034a 0.019 ± 0.034a 4.335 ± 0.785b 0.218 ± 0.140a A
OPN2 1127 6-ethyl-4-methyl-3,6-dihydro-2H-pyran 63500-69-6 0.010 ± 0.010a NDa 0.210 ± 0.021b ND ND ND C
OPN3 1134 6-methyl-3,4-dihydro-2H-pyran-2-carbaldehyde 64881-26-1 0.143 ± 0.056b NDa NDa ND ND ND C
OPN4 1144 3,5-dihydroxy-6-methyl-2,3-dihydropyran-4-one 28564-83-2 ND ND ND 0.084 ± 0.145a NDa 0.138 ± 0.107a B
OPN5 1931 2-ethoxy-6-methyl-3,4-dihydro-2H-pyran 52438-71-8 0.611 ± 1.058a NDa NDa ND ND ND C
Phenols
PH1 989 phenol 108-95-2 0.205 ± 0.185a 1.372 ± 1.415a NDa 0.311 ± 0.189b NDa 0.026 ± 0.023a A
PH2 1082 4-methylphenol 106-44-5 0.104 ± 0.071a 0.480 ± 0.279b NDa 0.181 ± 0.083b NDa NDa A
PH3 1085 2-methoxyphenol 90-05-1 0.251 ± 0.188b 0.192 ± 0.057ab NDa 0.425 ± 0.334a 0.247 ± 0.229a 0.008 ± 0.013a A
PH4 1346 2,6-dimethoxyphenol 91-10-1 0.328 ± 0.223ab 0.402 ± 0.052b 0.077 ± 0.017a 0.418 ± 0.091b 0.374 ± 0.076b 0.067 ± 0.035a A
Sulfur-containing compounds
S1 909 3-methylsulfanylpropanal 3268-49-3 1.126 ± 0.639a 0.006 ± 0.359a 0.485 ± 0.067a 2.933 ± 2.833a 0.021 ± 3.385a 1.156 ± 0.667a A
S2 969 (methyltrisulfanyl)methane 3658-80-8 ND ND ND 0.939 ± 1.598a NDa NDa A
S3 993 thiophene-2-carbaldehyde 98-03-3 NDa NDa 0.021 ± 0.002b NDa NDa 0.140 ± 0.202a A
S4 994 2,4-dimethylthiophene 638-00-6 0.767 ± 1.317a NDa NDa ND ND ND B
S5 1243 2-methyl-3-methylsulfanylfuran 63012-97-5 NDa NDa 0.020 ± 0.009b ND ND ND C

aAll volatile compounds are listed in their chemical class in the order of their RI values

bRetention indices were calculated using C6-C30 n-alkanes as external standards

cMean values of relative peak area to the area of internal standard ± standard deviation (n = 3)

dCF; corn with fructose reacted model system, SF; soy with fructose reacted model system, WF; wheat with fructose reacted model system, CG; corn with glucose reacted model system, SG; soy with glucose reacted model system, WG; wheat with glucose reacted model system

eIdentification of the compounds was based on the following: A, mass spectrum and retention index agreed with those of standard compounds under the same conditions (positive identification); B, mass spectrum and retention index were consistent with those from the NIST library (tentative identification); C, mass spectrum was consistent with that of the W9N08 library (Wiley and NIST) and manual interpretation (tentative identification)

fND: Not detected

gDuncan’s multiple comparison test was used for both fructose models (CF, SF, and WF) and glucose models (CG, SG, and WG) to analyze significant difference (p < 0.05) between samples

To compare the explanatory power of the model system obtained from SPME and SE analysis, PCA plots were applied (Fig. S1). The total variance of the PCA plot of SE was 45.9%, while that of the PCA plot for SPME was 62.5%. The SPME data showed higher model explanatory power than the SE data. It might be explained that model system obtained from SPME analysis could suggest more reliable variables which distinguish among samples. Therefore, the PCA model of SPME was applied to study the effects of the type of HVP and reducing sugar on the formation of volatile profiles.

Effect of sugar types on volatile formation

In Fig. S2, two types of PCA model (component 1 + 2 and component 1 + 3) were used to explain the differences of volatile profiles corresponding factors. The total explanatory powers were 45.7% (component 1 + 2) and 43.1% (component 1 + 3). In the results, CF and CG were discriminated by component 1, while SF and SG were separated by component 2. On the other hand, WF and WG were clearly separated by component 3.

In Fig. S2(A), some pyrazines, including 2-butyl-3-methylpyrazine, 3,5-dimethyl-2-(2-methylbutyl)pyrazine, and 2-ethenyl-6-methylpyrazine, were located near the CF model system. Based on this result, these pyrazines contributed to distinguishing CF from CG. In general, pyrazines are generated by the thermal reaction of amino acids and reducing sugars (Nursten, 2005). Fructose is more efficiently involved in the production of pyrazines compared to glucose, because of its higher reaction activity (Göğüş et al., 1998). Therefore, the increased production of pyrazines in the corn HVP system might contribute to discriminating fructose from glucose in this study.

The SF region was located on the positive side of component 2, while the SG region was located on the negative side of component 2 (Fig. S2(A)). Some aldehydes, including 3-methylbutanal, hexanal, nonanal, octanal, (E)-dec-2-enal, and (E)-dodec-3-enal, showed to correlate with SG. Glucose, an aldose form of sugar, were induced more abundant aldehydes in soy HVP model system. On the other hand, long-chain aldehydes, including hexanal, octanal, nonanal, (E)-dec-2-enal, and (E)-dodec-3-enal, are known to be mainly formed by lipid oxidation (Nursten, 2005). In general, there are trace amounts of lipids in the HVPs (Kang et al., 2017). However, the cause of the differing amounts of those long-chain aldehydes between fructose- and glucose- containing soy HVP model remains unclear.

WF and WG were distinguished mainly by component 3 in Fig. S2(B). In the result, pyrazines were located around the region associated with WF, while aldehydes were located near the WG region. Based on the result of CF and CG, it might assume that the Maillard reaction proceeded more actively the in the fructose-containing systems than the glucose-containing ones, leading to the production of many pyrazines (Göğüş et al., 1998).

Effect of HVP types on volatile formation

In the results of PCA models, component 1 contribute to distinguish between wheat and soy models, while component 2 separated the corn and wheat model systems [Fig. S2(A)]. Also, component 3 could discriminate the corn model from soy model [Fig. S2(B)].

Tables 3 and 4 show all volatile compounds generated from different HVP and reducing sugar model systems obtained using SPME- and SE-GC-MS analysis. In order to correlate with the precursors (amino acids and reducing sugars) and volatile compounds, the contents and composition of free amino acids and degree of hydrolysis in each HVPs were showed in Table 5 & S1 and Fig. 1, respectively.

Table 5.

Free amino acid contents

Amino acid Amount (mg/g)
Soy Wheat Corn
Tyrosine 2.43 ± 0.28bA 7.45 ± 0.47a 5.88 ± 0.01a
Glycine 4.59 ± 0.09a 21.83 ± 0.13a 21.87 ± 0.18a
Serine 5.32 ± 0.11a 26.28 ± 0.23a 34.87 ± 0.52a
Alanine 6.11 ± 0.06a 29.75 ± 0.40a 75.66 ± 0.11a
Glutamic acid 23.89 ± 0.18c 311.34 ± 0.23a 112.18 ± 0.04b
Lysine 4.64 ± 0.07b 5.81 ± 0.16a 5.6 ± 0.33a
Leucine 8.57 ± 0.48b 38.23 ± 0.25a 30.71 ± 0.02a
Methionine 0.69 ± 0.50b 7.42 ± 0.37a 6.71 ± 0.01ab
Valine 4.31 ± 0.09b 33.48 ± 0.06a 29.62 ± 0.46a
Arginine 7.51 ± 0.36a 25.25 ± 0.09a 25.34 ± 0.33a
Asparagine 14.91 ± 0.28a 33.36 ± 0.35a 58.52 ± 0.23a
Isoleucine 4.02 ± 0.11b 25.45 ± 0.46a 13.33 ± 0.32b
Threonine 3.54 ± 0.60b 16.66 ± 0.12ab 19.33 ± 0.35a
Phenylalanine 4.93 ± 0.10b 25.01 ± 0.13a 24.28 ± 0.33a
Proline 8.33 ± 0.12b 124.13 ± 0.45a 87.17 ± 0.18a
Histidine 1.35 ± 0.36b 4.17 ± 0.15ab 4.67 ± 0.16a
Cysteine NDB ND ND
Tryptophane ND ND ND

ADuncan’s multiple comparison test was used for three types of free amino acids contents to analyze significant difference (p < 0.05) between three types of vegetable proteins (soy, wheat, and corn)

BND not detected

Fig. 1.

Fig. 1

Composition of free amino acids expressed as percentiles

Volatiles from amino acids degradation

Figure 1 shows each HVP (corn, wheat, and soy) has different composition of free amino acids. In this study, Strecker aldehydes, which are generated via Strecker degradation of the corresponding α-amino acid, were found. When α-amino acids are oxidized to the corresponding aldehydes, ammonia is transported to other components of the reaction system and carbon dioxide is released (Nursten, 2005). Strecker aldehydes mainly have characteristic odors and low threshold values, which affect the organoleptic properties of foods (Cremer et al., 2000). In particular, some Strecker aldehydes, such as 3-methylbutanal, phenylacetaldehyde, and methional, can contribute to the flavor of meats (Mottram, 2007). 3-Methylbutanal was found only in SG and SF in this study. 3-Methylbutanal is derived from leucine, which is one of the dominant amino acids in soy HVP (Fig. 1). It has malty, green, fruity, and chocolate-like odor notes with a low odor threshold value (1.1 μg/kg in water) (Chen et al., 2020).

Several phenylalanine-induced aldehydes, including benzaldehyde, 2-phenylacetaldehyde, 2-phenylbut-2-enal, and 5-methyl-2-phenylhex-2-enal, were detected in this study. The content of phenylalanine was in the order as follows: wheat HVP (25.01 mg/g), corn HVP (24.28 mg/g), and soy HVP (4.93 mg/g). Wheat HVP, which had the largest amount of phenylalanine, produced the highest contents of benzaldehyde and (E)-5-methyl-2-phenylhex-2-enal. Benzaldehyde possesses sweet and floral odor notes (Karangwa et al., 2016). Additionally, phenyl methanol (benzyl alcohol), a benzaldehyde derivative (Nie et al., 2019), was found in the CF, WF, and WG models. 2-Phenylacetaldehyde, which has a strong floral green odor note (Zhang et al., 2014), was also detected in all model systems. 2-Phenylbut-2-enal was generated from the aldol condensation of phenylacetaldehyde, and possessed musty, floral, and green odor notes (Fadel et al., 2006). (E)-5-Methyl-2-phenylhex-2-enal, also derived from phenylacetaldehyde, is known to have a strong chocolate-flavor note (Barišić et al., 2019).

Methional, a Strecker aldehyde generated from methionine, was more abundant in corn and wheat model systems. Methionine, which is a precursor of methional, was detected in all HVPs, in the order as follows: wheat (7.42 mg/g), corn (6.71 mg/g), and soy (0.69 mg/g). The amount of methional appears to be strongly related to the level of methionine in HVP samples. Methional, which possessed cooked meat, potato, and onion-like odor notes, has been reported to be a key compound in beef (Hoa et al., 2012) and soy sauce (Steinhaus and Schieberle, 2007), however, it has also been associated with off-flavor in fresh lager beer and wine (Guedes de pinho and Silva Ferreira, 2006). Methionine was the only sulfur-containing amino acid detected in this study, and induced the formation of various sulfur-containing compounds, including methional, disulfides, and thiophenes.

Cysteine was not detected in this study. It has been reported that cysteine is destroyed completely during acidic hydrolysis (Aaslyng et al., 1998). When cysteine undergoes Strecker degradation, hydrogen sulfides are generated and involved in forming thiazoles (Nursten, 2005). In this study, thiazoles were not found, presumably due to the lack of cysteine.

Some sulfur-containing compounds with low threshold values and characteristic odor notes (Cerny, 2015) could contribute considerably to meat-like aroma. The content of methional was higher in wheat and corn HVPs compared to soy HVP. Several disulfides, which are derived from methionine, were also found in this study. Dimethyl disulfide and dimethyl trisulfide were identified in the wheat and corn model systems, while dimethyl tetrasulfide was found only in the WF model system. Wheat HVP contained more methionine than the corn and soy HVPs, yielding various sulfur-containing compounds.

Volatiles from the interaction between amino acids and reducing sugars

Some nitrogen-containing heterocyclic compounds have roasted and burnt odor notes, mainly providing desirable flavors to many foods. These compounds are generated by the interaction between amino acids and reducing sugars. At first, the condensation between sugars and amino acids produces Amadori and Heyns products, followed by sugar degradation, which releases amino compounds and aromatic compounds such as ketones, aldehydes, alcohols, and furans (Nursten, 2005). Through further reactions, diverse heterocyclic compounds, such as pyrroles, pyridines, pyrazines, and thiophenes, are generated. In this study, various pyrazines were formed in all model systems. A total of 22, 12, and 21 pyrazines were isolated from the corn, soy, and wheat model systems, respectively. The number and amounts of pyrazines were fewer in Soy HVP than the other HVPs, it might be explained that soy HVP had the lowest amount of free amino acids.

2,5-Dimethylpyrazine was the most dominant pyrazine in the wheat model system. It has been reported to be formed by the Maillard reaction of asparagine, valine, and leucine with reducing sugars (Cho et al., 2010). These amino acids were more abundant in wheat HVP than the other HVPs. On the other hand, the content of 2,6-dimethylpyrazine, which is derived from arginine, alanine, lysine, and glycine in the Maillard reaction, was higher in corn model systems, where those amino acids were more abundant compared to other HVPs. 2-Methylpyrazine was found abundantly in all the model systems. It is derived from the Maillard reaction of glycine, valine, leucine, and asparagine (Cho et al., 2010). 3-Ethyl-2,5-dimethylpyrazine, which has been reported as a product of the Maillard reaction of alanine (Van Lancker et al., 2012), lysine, arginine, and histidine (Wang et al., 2021), was more abundant in only the model systems containing corn HVP. This could be related to the higher contents of alanine, lysine, arginine, and histidine in corn HVP. On the other hand, 2,5-dimethyl-3-(3-methylbutyl)pyrazine, which could be formed from the Maillard reaction of leucine, lysine, threonine, and serine (Cho et al., 2010), was abundant in the model systems containing wheat HVP. It has been shown to contribute to meat aroma with a roasted odor (Tamura et al., 2022). In this study, 2,3,5-trimethylpyrazine was found in wheat and corn model systems. A previous study reported that alanine and glycine induce 2,3,5-trimethylpyrazine by the Maillard reaction (Kim et al., 1988). The contents of those amino acids were higher in wheat HVP than in wheat and corn HVP. Consequently, the composition of certain free amino acids significantly influenced the formation of some pyrazines in this study.

Nitrogen-containing heterocyclic compounds, including pyrroles and pyridines, are formed from proline through the Maillard reaction (Nursten, 2005). In particular, 2-acetylpyrrole, which has nutty, walnut, and bread-like odor notes (Tao et al., 2014), was more abundant in the corn and wheat model systems compared to the soy model systems. Wang and Kays (2000) has reported that 2-acetylpyrrole is main volatile compound in cooked beef, chicken, pork, coffee, and baked potato. Heterocyclic sulfur compounds, including thiophene-3-carbaldehyde, thiophene-2-carbaldehyde, and 2,4-dimethylthiophene, were found in the WF, WG, and CG model systems, respectively. Thiophenes, which are the products of Maillard reaction between sulfur-containing amino acids and the deoxyosones from sugar degradation, give a desirable meaty aroma in cooked meats (Shahidi, 2014).

Volatiles from sugar degradation

Furans, furanones, pyrans, and ketones, which were generated from sugar degradation (Nursten, 2005), were found. These compounds were characterized in the soy model system. The soy HVP had a smaller amount of amino acid precursors than the wheat and corn HVP, resulting the formation of volatile compounds from sugar degradation. Reducing sugars could be degraded themselves instead of interacting with the amino acids during thermal reactions. Many compounds derived from sugar degradation are reported as having sweet, fruity, berry, and caramel-like odors (Nursten, 2005). Furfuryl alcohol, which is a final product of dehydration and cyclization of reducing sugars (Albouchi and Murkovic, 2018), was one of the major components in the soy model systems. Higher content of furfuryl alcohol in the soy model systems might be correlated with lower contents of free amino acid. Maltol was found in all model systems; it was particularly abundant in the soy model systems. It is generated from hexose by losing three molecules of water (Nursten, 2005). Although the aroma strength of maltol is not strong, it is mainly used as a sweet flavor enhancer in foods (Lee et al., 2006). Cyclotene, which has a caramel-like odor description, is a volatile compound generated via the Maillard reaction (Nursten, 2005). It has been reported that the glucose skeleton leads to the formation of cyclotene during Maillard reaction. Cyclotene is recognized as a flavor enhancer at a minimum concentration in foods and also has been reported in smoked meat products (Issenberg and Lustre, 1970). Soy model systems contained higher content of cyclotene, compared to the wheat and corn model system. It might also be explained that lower total contents of free amino acids in soy HVP affected the formation of cyclotene. Therefore, the reducing sugars in soy model systems did not react with the amino acids completely, but it had a greater chance to undergo degradations themselves. Furfual and hydroxymethylfurfural (HMF) are generated through sugar degradation and are considered as main intermediates of the Maillard reaction (Nursten, 2005). HMF and furfural are generally generated from hexose and pentose, respectively (Nursten, 2005). In this study, HMF was not detected, and it might be explained that the generation of HMF is accelerated under acid conditions (Nursten, 2005), however, our reaction conditions was under alkaline pH.

This study investigated the profile of the volatile compounds generated by a thermal reaction between various HVPs, such as corn, soy, and wheat (majorly used HVPs), and the reducing sugars (glucose and fructose). In the results, the types of HVP, which had different amino acid compositions, strongly affected the formation of volatile compounds in each model system. The wheat and corn HVPs contained higher amounts of free amino acids than soy HVP. Therefore, the wheat and corn model systems produced various pyrazines derived from amino acids, such as alanine, asparagine, valine, and leucine. In particular, sulfur-containing compounds, such as dimethyl sulfides and thiophenes, were detected only in the corn and wheat model systems. On the other hand, furfuryl alcohol, maltol, and cyclotene, which are generated via sugar degradation, were found at higher levels in the soy model systems. In addition, the formation of volatiles was also different depending on the type of reducing sugar. In the result of PCA, glucose and fructose model systems were significantly correlated with abundant content of aldehydes, and pyrazines, respectively. In conclusion, these results demonstrated that the type of HVPs which has different contents and composition of free amino acids and that of reducing sugars significantly contribute to generated flavor profiles in the thermal model system.

Supplementary Information

Below is the link to the electronic supplementary material.

Acknowledgements

This work was supported by the National Research Foundation of Korea (NRF) grant (NRF-2020R1A2C2004724) and project BK21 FOUR (Fostering Outstanding Universities for Research) (No. 4299990914600) funded by the Korea government (MSIT).

Declarations

Conflict of interest

None of the authors of this study has any financial interest or conflict with industries or parties.

Footnotes

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