Literature DB >> 32118429

Comparison of Volatile Composition between Alcoholic Bilberry Beverages Fermented with Non-Saccharomyces Yeasts and Dynamic Changes in Volatile Compounds during Fermentation.

Shuxun Liu1, Oskar Laaksonen1, Alexis Marsol-Vall1, Baoqing Zhu2, Baoru Yang1.   

Abstract

The profile of volatile compounds was investigated using headspace solid-phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME-GC-MS) during bilberry juice fermentation with nine non-Saccharomyces yeasts, including Pachysolen tannophilus, Metschnikowia pulcherrima, Hanseniaspora uvarum, Torulaspora delbrueckii, Zygosaccharomyces bailii, Schizosaccharomyces pombe, Lachancea thermotolerans, Issatchenkia orientalis, and Saccharomycodes ludwigii. Dynamic changes in volatile compounds were determined simultaneously with the development of ethanol concentration during fermentation. H. uvarum or I. orientalis produced more ethyl acetate than other yeast strains throughout fermentation, while fermentation with M. pulcherrima resulted in high accumulation of higher alcohols. S. pombe was associated with high productions of pentane-2,3-dione, 3-hydroxybutan-2-one, 2-methylbutanal, and 3-methylbutanal. Among the 59 volatile compounds detected, generally, higher alcohols and monoterpenes accumulated constantly and reached the maximum concentration at the middle or later fermentation stage, whereas aldehydes, ketones, and acetals accumulated first followed by a significant drop. The production and accumulation dynamics of metabolites were highly dependent on the yeast species and the developing ethanol content.

Entities:  

Keywords:  HS-SPME−GC−MS; alcoholic bilberry beverages; dynamic changes; non-Saccharomyces yeasts; volatile composition

Mesh:

Year:  2020        PMID: 32118429      PMCID: PMC7590984          DOI: 10.1021/acs.jafc.0c01050

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


Introduction

Over the past few years, there has been a growing interest among consumers in novel and unique fermented alcoholic fruit beverages made from local crops particularly in some European countries. This has promoted the development of alcoholic beverages fermented from diversified nongrape fruits, such as plums, blackberry, pineapple, strawberry, pomegranate, and cherry.[1] According to the report from European Cider and Fruit Wine Association (AICV), in recent years, fermented alcoholic fruit drinks are among the fastest growing ones of all alcoholic beverages. Bilberry (Vaccinium myrtillus L.) is one of the most economically valuable wild berries in Northern Europe and is gaining increasing attention primarily due to its pleasant aroma and richness in nutritional and bioactive compounds.[2] However, only 5–8% of the total bilberry yield in Nordic countries (>500 million kg/year) is exploited annually,[2,3] which may be partly due to the lack of innovative products from bilberries other than jam, juice, and concentrate.[4] Hence, the development of novel products from bilberry, such as alcoholic bilberry beverages (ABBs), is necessary to meet the new trends of the market for products of premium quality. Aroma is one of the most crucial sensory features determining the quality of fermented fruit drinks, which is highly affected by the qualitative and quantitative composition of volatile compounds. During yeast fermentation, the generation and degradation process of aromatic compounds is dynamic and complicated. The monitoring of these compounds during fermentation is a matter of active research to understand their evolution patterns over time and the potential impact on both specific aroma attributes and the overall flavor. In recent years, there has been increasing interest in winemaking to investigate, for example, the dynamic changes in the main secondary metabolites of higher alcohols and esters from yeast metabolism,[5] the formation of volatile sulfur compounds arising from sulfurous precursors,[6] or the constant conversion of glycosidically bound monoterpenoids to their corresponding free monoterpenoids with the participation of hydrolytic enzymes (especially β-glucosidases).[7] However, the metabolic pathways and the biochemical processes involving volatile compounds during fermentation of ABBs still remain poorly understood. Non-Saccharomyces yeasts were originally considered as problematic microorganisms for use in alcoholic beverage production due to their poor fermentation ability and low tolerance to ethanol and SO2.[8] Nowadays, it is widely accepted that non-Saccharomyces yeasts may play an important role in determining the sensory quality of final beverages through the production of more diversified profiles of volatile compounds compared with conventional Saccharomyces cerevisiae. A number of studies have inoculated non-Saccharomyces yeasts to modify the aroma profiles of alcoholic beverages. For example, inoculation of Metschnikowia pulcherrima was used to increase the production of 2-phenylethanol.[9]Torulaspora delbrueckii has been documented to produce less off-flavor compounds, such as acetaldehyde, 3-hydroxybutan-2-one (acetoin), and acetic acid compared with other non-Saccharomyces strains.[10,11] In comparison with inoculation with S. cerevisiae, fermentations with Hanseniaspora species and Lachancea thermotolerans strain reduced the production of higher alcohols[8,12] and those with Schizosaccharomyces species generated a higher amount of acetaldehyde,[13] whereas fermentation with Issatchenkia orientalis resulted in lower production of acetaldehyde, propan-1-ol, butan-2-ol, and 3-methylbutan-1-ol.[14] However, such results were mainly obtained from the analysis of completely fermented wines or beers and no detailed studies have been reported on the dynamic changes of these metabolites during non-Saccharomyces yeast fermentation. Headspace solid-phase microextraction (HS-SPME) technique has been widely used in the analysis of volatile compounds in alcoholic beverages due to its properties of solvent free, fast extraction, and higher sensitivity and reproducibility in comparison with the classical analytical approaches of liquid–liquid extraction (LLE) and solid-phase extraction (SPE).[15,16] HS-SPME coupled with gas chromatography–mass spectrometry (GC–MS) can detect volatiles at concentrations even below the level of ng/L.[16] During the HS-SPME process, an equilibrium is established between three phases: liquid sample matrix, gaseous headspace, and the stationary phase of fiber coating. Any changes in the sample matrix, such as ionic strength, ethanol concentration, and pH, may affect the partition coefficient between these phases and thus influence their adsorption rate and the concentration on the fiber.[15,16] Ethanol is continuously produced and accumulated during yeast fermentation, and the change in ethanol concentration has been demonstrated to affect the equilibrium of other volatile compounds through the alteration of solubility of the analytes in the liquid phase and the increase of competitive occupation of active sites in the stationary phase.[15,17] Hence, to carry out a reliable quantitation of volatiles during fermentation, it is important to take into account the changes in ethanol content, thus making the whole process more laborious. This fact may partly explain the scarcity of studies on the evolution of volatile compounds during fermentation of alcoholic fruit beverages. The aims of this study were to (1) quantitate volatile compounds in alcoholic bilberry beverages using HS-SPME–GC–MS by minimizing the effects of ethanol during the extraction of analytes, (2) characterize and compare the volatile profiles of ABBs fermented with different species of non-Saccharomyces yeasts, including Pachysolen tannophilus, M. pulcherrima, Hanseniaspora uvarum, T. delbrueckii, Zygosaccharomyces bailii, Schizosaccharomyces pombe, L. thermotolerans (previously classified as Kluyveromyces thermotolerans), I. orientalis, and Saccharomycodes ludwigii, and (3) monitor and compare the dynamic changes of volatile compounds during fermentation with the nine non-Saccharomyces yeasts. Fermentation with S. cerevisiae was included in this study as a reference for comparison. This work provides useful information about the potentials of diverse non-Saccharomyces yeasts in the production of fruit wines or beverages. Moreover, the monitoring of volatile compounds during fermentation may help fermentation practitioners to optimize and control fermentation to improve the quality of final products.

Materials and Methods

Chemicals

Volatile standards of propan-1-ol, 2-methylpropan-1-ol, butan-1-ol, 3-methylbutan-1-ol, hexan-1-ol, heptan-2-ol, 3-ethoxypropan-1-ol, (Z)-hex-3-en-1-ol, (E)-hex-2-en-1-ol, heptan-1-ol, 2-ethylhexan-1-ol, octan-1-ol, 3-(methylthio)-1-propanol, 2-phenylethanol, 4-methyl-2-pentanol, ethyl acetate, ethyl 2-methylpropanoate, 2-methylpropyl ethanoate, ethyl butanoate, ethyl 3-methylbutanoate, methyl hexanoate, ethyl hexanoate, ethyl 2-hydroxypropanoate, ethyl octanoate, ethyl decanoate, 2-phenylethyl acetate, ethyl dodecanoate, butane-2,3-dione, 3-hydroxybutan-2-one (acetoin), 6-methyl-5-hepten-2-one, acetaldehyde, hexanal, benzaldehyde, 1,1-diethoxyethane, 2-methylpropanoic acid, heptanoic acid, 3,7-dimethylocta-1,6-dien-3-ol (linalool), 2-(4-methylcyclohex-3-en-1-yl)propan-2-ol (α-terpineol), and 1,2-xylene with purity >98% and an alkane mixture (C5–C20) were purchased from Sigma-Aldrich (St. Louis, MO). Ethanol (>99.5%) was obtained from ALTIA Oyj (Rajamäki, Finland), sodium hydroxide (>98%) from Mallinckrodt Baker (Deventer, The Netherlands) and citric acid (>99%) from Alfa Aesar GmbH Co. (Karlsruhe, Germany). Food grade sucrose was purchased from Kesko Oyj (Kirkkonummi, Finland).

Bilberry Juice Preparation

Wild bilberries (V. myrtillus L.) were harvested in 2017 in Finland and frozen at −20 °C before processing. Bilberry juice preparation was performed according to our previous protocol with minor modifications.[18] First, a series of processes were carried out to obtain diluted juices, including thawing in a microwave for 5 min, pressing with a juice presser, and dilution with ultrapure water at the ratio of 1:1 (v/v). Subsequently, the juices were pooled into a sealed plastic bucket and stored at +6 °C in darkness for 24 h to separate supernatant from the solids. The supernatants were transferred to a new bucket. The separation procedure was carried out twice successively. Afterward, the juices were pasteurized in a water bath at 95 °C for 5 min and cooled to room temperature. The pH and degree Brix values of the resultant juice were adjusted to 3.5 and 14.0 using sodium hydroxide and sucrose, respectively.

Yeast Strains and Laboratory-Scale Fermentation

Yeasts of S. cerevisiae Lalvin V1116 (SC1116) and T. delbrueckii 291 (TD291) were obtained from Lallemand Inc. (Montreal, Canada). Strains of S. pombe 70572 (SP70572), S. ludwigii 3447 (SL3447), M. pulcherrima 70321 (MP70321), L. thermotolerans 3434 (LT3434), I. orientalis 3433 (IO3433), H. uvarum 26650 (HU26650), P. tannophilus 70352 (PT70352), and Z. bailii 70492 (ZB70492) were purchased from DSMZ Institute (Braunschweig, Germany). Before inoculation, the 10 cultures were propagated in YEPD medium (1% yeast extract, 2% peptone, and 2% dextrose) at 25 °C for 48 h according to our published method.[18] Fermentations were carried out in sterile and sealed Duran bottles (volume = 100 mL) with aliquots of 50 mL of sterilized juice at 25 °C in darkness. The cell count for each inoculation was approximately 107 CFU/mL. During fermentation, the caps of bottles were unscrewed every day under an aseptic condition to release CO2 produced from yeast growth. Fermentations were monitored by measuring Brix values and the weight loss of the bottles every 3 days till the completion of fermentation when bottle weights and Brix values remained constant during two consecutive monitoring time points. It is worth noting that to eliminate the possible impact of volume reduction caused by repeated sampling during fermentation on the chemical profiles of fermented bilberry samples, a series of bottles of juices (total 12 bottles) was inoculated for each yeast strain. The fermented samples were successively taken every 3 days and then immediately centrifuged at 4500g for 10 min to remove yeast pellets and precipitates. The supernatants were collected and stored at −80 °C. Figure S1 shows the fermentation procedure.

Determination of Ethanol Content

Ethanol concentration in fermented bilberry juice was determined in triplicate by Shimadzu GC-2010 Plus gas chromatography with a flame ionization detector (GC-FID, Shimadzu, Japan) equipped with an HP-INNOWax column (30 m × 0.25 mm i.d., 0.25 μm, Hewlett-Packard, Avondale, PA). The GC analysis was performed using a previously reported external standard method.[18] Briefly, the column temperature went from a steady 40 °C for 8 min to 240 °C with a gradient of 10 °C/min and was kept at 240 °C for 2 min. The injector and detector temperatures were 220 and 280 °C, respectively. Helium was used as the carrier gas at 1.5 mL/min flow with a split ratio of 1:25. A calibration curve (R2 = 0.996) was constructed using standard solutions of ethanol at concentrations of 0, 2, 4, 6, 8, and 10%.

Determination of Volatile Compounds

Preparation of Standard Mixture Solutions

Standard solutions were prepared with varying concentrations of ethanol to take into account the impact of ethanol concentration on the volatile profile in the headspace. Stock solutions of authentic volatile standards were prepared in 5 mL ethanol. The initial concentrations of the standards are listed in Table S1. Six synthetic ABB matrices were also prepared with ethanol at varying concentrations of 0, 2, 4, 6, 8, and 10% (v/v), respectively. All matrices contained 7 g/L citric acid, and the pH values were adjusted to 3.5 with 1 M NaOH. Afterward, all stock solutions were mixed and diluted using the first synthetic matrix (0% ethanol) to establish five standard mixture solutions with increasing ethanol content of 2, 4, 6, 8, and 10% (v/v). Nine dilutions of the standard mixture solutions were prepared using the synthetic matrices with the same ethanol percentage. The diluted solutions (concentration ranges shown in Table S2) were kept at −20 °C in darkness until analysis.

HS-SPME–GC–MS Analysis

HS-SPME was used for the extraction of volatile compounds of fermented bilberry juices and standard mixture solutions as described previously.[19] 4-Methyl-2-pentanol (802 μg/mL in methanol) was used as the internal standard. Two milliliters of each sample, 0.2 g of sodium chloride and 10 μL internal standard were placed in a 20 mL glass vial. A 2-cm SPME fiber coating with divinylbenzene/carboxen/poly(dimethylsiloxane) (DVB/CAR/PDMS, 50/30 μm, Supelco, Bellefonte, PA) was used to extract volatile compounds. The fiber was conditioned at 250 °C for 60 min prior to extraction. The extraction process was carried out at 45 °C for 30 min with agitation. The extracted volatile compounds were analyzed in a Trace 1310 gas chromatography coupled with a Triplus RSH autosampler (Thermo Scientific, Reinach, Switzerland) and a TSQ 8000 EVO mass spectrometer (Thermo Fisher Scientific, Waltham, MA). The column was DB-WAX capillary column (60 m × 0.25 mm i.d. × 0.25 μm film thickness; J&W Scientific, Folsom, CA). Helium was used as the carrier gas at a flow rate of 1.6 mL/min. The injector temperature was 240 °C. The oven temperature program was as follows: 50 °C held for 3 min, increased at a rate of 5 °C/min to 220 °C, and held for 8 min. Mass spectra were detected in electron impact (EI) mode at 70 eV with a scan range m/z 33–300. The temperatures of the MS transfer line and the ionization source were 200 and 220 °C, respectively. The HS-SPME–GC–MS analysis of each sample was carried out in triplicate.

Identification and Quantitation of Volatile Compounds

The volatile compounds in fermented bilberry samples were identified by comparing their retention indices (RIs) and mass spectra with those of authentic standards. The RIs were obtained from the injection of the C5–C20 alkane mixture under the same chromatographic conditions. When the corresponding authentic standards were not available, tentative identifications were conducted by matching mass spectra in the standard NIST 17 library and comparing the RIs with those reported in the literature and NIST database.[20] The quantitation of the detected volatile compounds was performed using calibration curves built with authentic standards of interest from nine different concentrations in synthetic ABB matrices and internal standard for correcting any possible variations in SPME fiber performance along the sample sequence. In the calibration equations (y = ax + b), x and y represented the peak area ratio and concentration ratio of volatile standard to the internal standard, respectively. Five standard calibration curves were obtained for an individual volatile compound with ethanol concentration at 2, 4, 6, 8, and 10% (v/v), respectively (Table S2). On the basis of the ethanol concentration in fermented bilberry samples, an appropriate calibration curve was selected for the quantitation of volatile compounds following the principle of proximity of ethanol content. When the corresponding authentic standards were unavailable, the compounds were quantitated on the basis of the calibration curves obtained from the standards of the same chemical group with similar chemical structures. The method linearity was evaluated by the determination coefficient (R2) for each standard addition curve. Limits of detection (LOD) and quantitation (LOQ) for volatile standards were estimated as the concentration of the analytes that provided a signal-to-noise ratio (S/N) of 3 and 10, respectively by injecting a series of diluted standard solutions. The values of LOD and LOQ for analytes were different in matrices with different ethanol concentrations (Table S2).

Statistical Analysis

All results were expressed as mean ± standard deviation from three replicates. One-way analysis of variance (ANOVA) followed by the Duncan test was employed to determine the difference between means using R software (version 3.6.1) with “agricolae” package. Significance was set at p < 0.05. Multivariate models, including principal component (PC) analysis (PCA) and partial least squares discriminant analysis (PLS-DA), were created with Unscrambler X software (version 11.0, Camo Inc., Norway). PCA was applied to investigate the sample groupings and correlations among volatile profiles (X-data) of all 10 bilberry beverages. PLS-DA was used to further study the difference of volatile composition of the samples that clustered into the same group in PCA. Heatmaps analysis using data normalized as mean-centered and divided by the standard deviation of each variable illustrating the dynamic evolution of volatile compounds during ABB fermentation was performed using online software MetaboAnalyst 4.0 (McGill University, Canada).

Results and Discussion

Evolution of Ethanol during Fermentation

Figure shows the progress of ethanol content during the 10 different fermentations. The strains SC1116, SP70572, SL3447, ZB70492, and LT3434 showed strong fermentation capacities as indicated by higher production of ethanol or shorter fermentation duration compared to the other strains. Remarkably, a rapid release of ethanol was observed already at the early stage of these fermentations as more than 80% of the final ethanol content was generated during the first 6 days. These results are consistent with previous studies.[21−24] Although the ethanol production rates of the inoculations with TD291, IO3433, and MP70321 were lower than those of the aforementioned yeasts, their fermentation kinetics showed a linear trend with time, with ethanol concentration peaking at 8%, approximately. The results indicated that T. delbrueckii, I. orientalis, and M. pulcherrima all possessed stable fermentation activity required for the production of ABBs. The ethanol level in ABB fermented with PT70352 was 4.14% after 24 days of fermentation, being only 45.6% of the ethanol content found in the beverage fermented with SC1116. This result is in agreement with a previous finding reporting a sugar consumption of 47.7% by P. tannophilus during fermentation of a synthetic grape juice (glucose 75 g/L, fructose 75 g/L, tartaric acid 3 g/L, pH 3.5).[23] The final concentration of ethanol in the fermentation product with HU26650 was 3.6%, significantly lower than the levels after fermentation with other yeast cultures (p < 0.05). The poor fermentation ability and low ethanol tolerance of H. uvarum were verified in Montepulciano d’Abruzzo wine, with a viable cell count of H. uvarum increasing to a maximum at 5 days after inoculation followed by a rapid decrease.[25]
Figure 1

Evolution of ethanol concentration during the production of alcoholic bilberry beverages fermented with 10 different yeasts. SC1116, HU26650, SP70572, SL3447, ZB70492, LT3434, TD291, PT70352, IO3434, and MP70321 are S. cerevisiae Lalvin V1116, H. uvarum 26650, S. pombe 70572, S. ludwigii 3447, Z. bailii 70492, L. thermotolerans 3434, T. delbrueckii 291, P. tannophilus 70352, I. orientalis 3433, and M. pulcherrima 70321, respectively.

Evolution of ethanol concentration during the production of alcoholic bilberry beverages fermented with 10 different yeasts. SC1116, HU26650, SP70572, SL3447, ZB70492, LT3434, TD291, PT70352, IO3434, and MP70321 are S. cerevisiae Lalvin V1116, H. uvarum 26650, S. pombe 70572, S. ludwigii 3447, Z. bailii 70492, L. thermotolerans 3434, T. delbrueckii 291, P. tannophilus 70352, I. orientalis 3433, and M. pulcherrima 70321, respectively. Overall, the fermentation with the non-Saccharomyces yeasts produced less ethanol compared to S. cerevisiae due to their poorer sugar conversion capacities. The combination of non-Saccharomyces and Saccharomyces yeasts, for example sequential and simultaneous inoculations, has been considered as a promising approach for lowering ethanol content of fermented beverages.[26,27]

Effect of Ethanol on the Extraction of Volatile Compounds

A constant decrease in the peak areas was observed with increasing ethanol content for most volatile compounds in the synthetic ABB solutions (Figure ). The results are in agreement with previous studies in wine and synthetic wine solutions.[15,17,28] However, the biggest decline in the peak area generally occurred when ethanol concentration increased from 2 to 4%. This might have been due to the solubility of the studied volatile compounds in model solutions progressively increased with the increase of ethanol content and reached a critical state of saturation thereafter. Following this saturation point, the solubility of the compound in the liquid phase kept reducing with the increasing ethanol content from 4 to 10%, leading to a higher proportion of the analytes adsorbed on the HS-SPME fiber. These findings confirmed the necessity for taking into account the ethanol concentration in quantitation of volatiles in products submitted to a fermentation process.
Figure 2

Effect of ethanol concentration on the HS-SPME extraction (expressed as extracted peak area) of a constant content of authentic standards. (A) Higher alcohols; (B) esters; (C) ketones, aldehydes, acetals, acids, monoterpenes, and benzenes.

Effect of ethanol concentration on the HS-SPME extraction (expressed as extracted peak area) of a constant content of authentic standards. (A) Higher alcohols; (B) esters; (C) ketones, aldehydes, acetals, acids, monoterpenes, and benzenes.

Comparison of the Volatile Profiles of Final Alcoholic Bilberry Beverages

As discussed above, ethanol concentration was found to be a factor that influences the matrix properties and affects the quantitation of other volatiles. Moreover, ethanol concentration varied during the fermentation process and differed substantially among the 10 different finished ABBs (Figure ). For quantitation of the volatile compounds, we constructed a series of calibration curves with different ethanol levels covering the entire range of ethanol percentage found in our samples (Table S2). Totally, 59 volatile compounds, including 20 higher alcohols, 20 esters, 4 ketones, 4 aldehyde, 4 fatty acids, 3 acetals, 2 monoterpenes, and 2 benzenes, were identified and quantitated in bilberry products. Their concentrations in completely fermented bilberry beverages are listed in Table . To better understand the effect of microorganisms on the aroma differentiation of ABBs at the end of fermentation, an unsupervised classification using the PCA model was carried out to reduce the dimensionality of the data (Figure A). The first three principal components (PCs) explaining 62% of the total variance were used to separate the finished ABBs on the basis of the concentration differences of the 59 compounds detected. A clear separation of the 10 different samples into two groups was observed along the PC-1 (accounting for 30% of the total variation). The first group locating on the right part of PC-1, namely, the ABBs, produced with SC1116, SP70572, SL3447, and MP70321, was characterized by high abundance of most volatile compounds analyzed, particularly higher alcohols, esters, monoterpenes, aldehydes, and acetals, in comparison with the second group with the fermentations with HU26650, IO3433, PT70352, LT3434, ZB70492, and TD291 (Figure A). The concentrations and compositions of volatile compounds determine the overall aroma profile and odor properties of fermented beverages;[29] therefore, the overall aroma profile of the ABB samples in the first group may possess higher complexity than those of the second group. Bilberry beverages produced with HU26650 and IO3433 were clearly separated from the second group on the PC-2 (with 21% of the variation) and PC-3 (11%), respectively (Figure A). The sample fermented with HU26650 was characterized by the high concentrations of methyl acetate (variable E21 in Table ), ethyl acetate (E22), and ketone compounds, including butane-2,3-dione (K41), pentane-2,3-dione (K42), and 3-hydroxybutan-2-one (K43). It is worth noting that ethyl acetate was reported to contribute to a pineapple fragrance at a low concentration, while it is likely to produce a chemical odor of varnish at a concentration above 150 mg/L.[30,31] Moreover, butane-2,3-dione, pentane-2,3-dione, and 3-hydroxybutan-2-one are reported as the main fatty odor contributors,[31,32] especially 3-hydroxybutan-2-one accounted for approximately 40–90% of the total amount of ketones in the finished bilberry beverages (Table ). The high content of this compound in the fermentation product with H. uvarum strain is consistent with a previous finding reported by Romano and Suzzi suggesting that with low ethanol tolerance of Hanseniaspora preferentially utilize pyruvate for the biosynthesis pathway of 3-hydroxybutan-2-one rather than ethanol formation.[33] Therefore, the high generation of these undesirable compounds from the strain H. uvarum 26650 might confer a negative impact on the overall aroma of its corresponding bilberry beverage. PC-3 separates bilberry beverage produced with IO3433 from other samples primarily due to the high production of volatile compounds with generally pleasant odors, such as ethyl propanoate (E23), ethyl butanoate (E26) and 3-methylbutyl acetate (E28). These compounds were described as important contributors to fruity odors from banana, apple, and pineapple to strawberry.[19,31] However, a high concentration of pentan-2-ol (HA3), pentanoic acid (FA53), and ethyl acetate (>150 mg/L, Table ) resulted from the inoculation with I. orientalis strain may have endowed ABB with bitter almond and cheese aromas.[34,35]
Table 1

Concentrations (μg/L) of Volatile Compounds Detected in Finished Bilberry Beverages Fermented by 10 Different Yeastsa

  fermentationb
codecompoundsSC1116HU26650SP70572SL3447ZB70492LT3434TD291PT70352IO3433MP70321
HA1propan-1-ol6525.54 ± 157.73 fg5139.44 ± 537.20 g8821.46 ± 879.08 e7151.22 ± 611.62 f19 155.33 ± 1819.45 a13 183.72 ± 376.00 c13 257.55 ± 316.42 c17 756.40 ± 775.88 a14 870.91 ± 1541.39 b10 396.92 ± 378.49 d
HA22-methylpropan-1-ol21 740.43 ± 145.15 e11 987.29 ± 1408.89 f27 847.34 ± 966.28 c24 918.28 ± 1759.77 e72 950.88 ± 6824.84 a42 827.78 ± 855.46 b31 429.20 ± 432.83 c31 097.21 ± 585.73 cd26 446.70 ± 2916.76 de44 326.55 ± 1424.57 b
HA3pentan-2-ol1889.58 ± 9.01 b1233.04 ± 147.44 e1587.56 ± 168.05 bcd1480.43 ± 116.16 cde531.70 ± 55.00 f1264.55 ± 10.3 de328.46 ± 16.55 f1681.60 ± 24.16 bc3784.77 ± 523.86 a1765.54 ± 38.20 bc
HA4butan-1-ol328.33 ± 4.31 d82.61 ± 6.76 h259.53 ± 19.26 e206.75 ± 10.41 f144.03 ± 11.63 g675.47 ± 25.16 a580.77 ± 15.66 b368.46 ± 14.43 c587.74 ± 58.10 b677.13 ± 10.71 a
HA5hexan-2-ol191.71 ± 2.48 b70.23 ± 19.12 ef218.99 ± 15.45 a123.72 ± 7.33 d44.25 ± 4.79 g50.62 ± 5.73 fg135.13 ± 12.29 cd74.16 ± 7.43 ef76.24 ± 10.14 e148.99 ± 27.93 c
HA62-methylbutan-1-ol59 757.39 ± 5356.97 a4917.25 ± 629.26 g40 347.29 ± 2271.86 d33 562.31 ± 3853.74 e46 502.85 ± 4605.58 c30 336.36 ± 844.22 e54 508.32 ± 901.86 b23 596.21 ± 1190.86 f20 409.12 ± 2102.27 f62 092.03 ± 1716.70 a
HA73-methylbutan-1-ol13 9572.96 ± 527.16 b22 024.55 ± 2622.50 h97 115.39 ± 2361.86 d93 845.86 ± 8587.26 d80 214.56 ± 6878.70 e82 965.34 ± 4149.72 e12 3821.51 ± 7323.50 c38 671.08 ± 1274.26 g51 352.31 ± 4409.79 f169 345.51 ± 3486.88 a
HA84-methylpentan-1-ol201.28 ± 0.89 c69.56 ± 6.32 f349.39 ± 38.95 a158.76 ± 15.51 d121.14 ± 20.16 e68.70 ± 11.74 f89.82 ± 5.05 f59.49 ± 5.60 f78.39 ± 13.78 f296.98 ± 18.90 b
HA9heptan-2-ol3.50 ± 0.07 b3.28 ± 0.22 bc3.49 ± 0.34 b3.04 ± 0.15 bcd12.66 ± 0.79 a2.56 ± 0.17 d2.62 ± 0.05 d2.76 ± 0.06 cd2.76 ± 0.16 cd3.42 ± 0.24 b
HA103-methylbutan-2-ol89.86 ± 7.74 e837.85 ± 184.10 a119.72 ± 8.84 e228.63 ± 22.02 d353.05 ± 24.90 c571.69 ± 20.57 b103.71 ± 3.79 e317.15 ± 14.08 cd302.18 ± 45.01 cd257.34 ± 37.81 cd
HA113-methylpentan-1-ol818.56 ± 59.39 c100.35 ± 16.06 e1629.90 ± 174.41 b928.73 ± 97.10 c142.81 ± 17.75 de127.63 ± 1.69 de133.99 ± 8.65 de255.31 ± 15.86 d205.60 ± 26.54 de2004.27 ± 57.81 a
HA12hexan-1-ol1855.3 ± 109.34 b1372.56 ± 189.59 d2274.83 ± 231.79 a1506.71 ± 145.11 cd1323.15 ± 98.78 d825.14 ± 29.93 e1448.96 ± 48.40 cd1347.85 ± 50.01 d731.87 ± 70.54 e1594.36 ± 20.70 c
HA133-ethoxypropan-1-ol144.41 ± 15.05181.63 ± 35.0847.88 ± 14.3822.60 ± 3.02149.65 ± 9.161405.93 ± 15.533973.68 ± 156.92210.94 ± 50.05nq60.91 ± 28.80
HA14(Z)-hex-3-en-1-ol41.38 ± 0.91 abc46.17 ± 8.45 a44.75 ± 3.29 a37.98 ± 1.75 bc38.58 ± 1.90 bc37.16 ± 0.35 c38.56 ± 0.62 bc43.46 ± 1.64 ab36.08 ± 1.44 c41.77 ± 0.54 abc
HA15(E)-hex-2-en-1-ol20.47 ± 2.21 g112.51 ± 30.84 d108.84 ± 20.26 ef174.18 ± 27.60 b151.63 ± 12.69 bc127.53 ± 11.32 cd80.80 ± 13.77 f98.89 ± 7.69 ef10.41 ± 3.68 g211.52 ± 15.56 a
HA16heptan-1-ol7.77 ± 1.11 b8.62 ± 0.60 a6.86 ± 0.15 c6.72 ± 0.48 cd6.49 ± 0.23 cd6.49 ± 0.09 cd5.27 ± 0.02 e7.68 ± 0.16 b6.35 ± 0.14 cd6.00 ± 0.65 d
HA172-ethylhexan-1-ol1.55 ± 0.28 de5.32 ± 1.99 ab2.63 ± 0.17 cd1.67 ± 0.37 cde3.03 ± 0.50 c2.58 ± 0.23 cd0.74 ± 0.12 e4.35 ± 0.54 b4.87 ± 0.78 ab5.75 ± 0.41 a
HA18octan-1-ol6.58 ± 0.46 a5.55 ± 0.27 cd6.60 ± 0.26 a5.66 ± 0.08 c5.54 ± 0.03 cd5.05 ± 0.07 f5.27 ± 0.07 ef5.59 ± 0.09 cd5.42 ± 0.08 cd6.19 ± 0.13 b
HA193-(methylthio)-1-propanol1536.69 ± 21.63 c160.97 ± 27.57 f1834.67 ± 101.34 b857.04 ± 84.81 d1786.42 ± 186.87 b305.45 ± 6.63 e809.88 ± 37.60 d63.43 ± 1.80 f411.29 ± 9.31 e2492.81 ± 22.72 a
HA202-phenylethanol14 578.49 ± 214.98 bc4650.29 ± 1158.67 g12 647.79 ± 1070.01 de13 249.81 ± 1396.80 cd15 414.86 ± 1235.34 b7128.82 ± 100.19 f20 212.09 ± 845.14 a5249.63 ± 554.50 g11 259.72 ± 643.09 e20 766.21 ± 618.18 a
 total higher alcohols249 311.76 ± 5371.03 b53 009.05 ± 3983.13 f200 213.62 ± 7826.74 c178 470.09 ± 16 291.62 d239 052.63 ± 21 707.20 b181 918.54 ± 6067.49 d250 966.35 ± 7508.32 b120 911.67 ± 3939.82 e130 562.9 ± 11 695.97 e316 500.21 ± 7053.58 a
E21methyl acetate1047.05 ± 62.69 cd12 134.39 ± 3355.49 a1010.81 ± 138.12 cd1156.97 ± 159.60 cd1506.53 ± 161.58 cd467.64 ± 2.83 d590.62 ± 35.46 d2996.09 ± 25.10 c5992.48 ± 581.65 b1438.33 ± 91.10 cd
E22ethyl acetate31 995.61 ± 1198.68 cd345 560.72 ± 87 956.59 a25 688.70 ± 2720.71 d85 326.43 ± 7703.17 c76 892.99 ± 6063.69 cd33 143.81 ± 2328.79 cd33 221.49 ± 1407.40 cd27 481.79 ± 304.36 d200 761.56 ± 19 873.93 b59 600.85 ± 1972.85 cd
E23ethyl propanoate51.32 ± 2.53 ef139.88 ± 24.16 d46.71 ± 5.31 f183.28 ± 20.47 c227.48 ± 21.14 b56.54 ± 3.64 ef209.22 ± 5.2 bc44.09 ± 0.72 f404.58 ± 44.00 a83.16 ± 3.24 e
E24ethyl 2-methylpropanoate38.08 ± 1.33 de26.50 ± 1.42 f22.86 ± 2.75 f43.16 ± 3.87 d121.62 ± 11.02 a108.29 ± 8.52 b95.30 ± 4.69 c27.69 ± 0.55 ef114.24 ± 13.18 ab25.49 ± 0.76 f
E252-methylpropyl ethanoate18.81 ± 0.39 fg33.50 ± 7.20 c14.28 ± 0.91 g17.64 ± 3.59 fg25.15 ± 2.59 de62.34 ± 1.85 a14.61 ± 1.2 g46.79 ± 0.53 b29.05 ± 2.31 cd21.67 ± 1.20 ef
E26ethyl butanoate100.71 ± 0.42 b32.35 ± 3.27 f66.11 ± 8.38 cd74.40 ± 2.88 c50.43 ± 2.81 e17.62 ± 1.07 g60.77 ± 3.42 de23.10 ± 0.49 fg163.64 ± 16.43 a73.64 ± 2.08 c
E27ethyl 3-methylbutanoate11.50 ± 0.87 b11.40 ± 0.25 b9.09 ± 1.38 cd6.47 ± 0.54 ef5.24 ± 0.29 fg4.59 ± 1.02 g8.65 ± 1.65 cd7.76 ± 0.16 de9.98 ± 1.26 bc23.61 ± 0.76 a
E283-methylbutyl acetate515.70 ± 5.03 b237.38 ± 20.75 f430.82 ± 45.17 c321.95 ± 21.27 d92.32 ± 9.38 g247.81 ± 13.32 ef72.98 ± 3.50 g315.38 ± 3.92 de968.25 ± 112.24 a403.68 ± 13.18 c
E29methyl hexanoate6.15 ± 0.23 a5.65 ± 0.01 b4.41 ± 0.07 c3.51 ± 0.11 e3.26 ± 0.02 f3.32 ± 0.07 f3.83 ± 0.10 d5.67 ± 0.03 b3.32 ± 0.06 f3.56 ± 0.16 e
E30ethyl hexanoate109.80 ± 0.49 a58.13 ± 0.54 ef84.69 ± 5.07 c88.46 ± 1.63 b40.47 ± 0.39 g40.60 ± 0.21 g60.98 ± 1.31 e57.01 ± 0.08 f40.53 ± 0.25 g74.1 ± 1.77 d
E31hexyl acetate111.10 ± 7.52 a82.36 ± 6.39 de97.29 ± 11.92 bc84.50 ± 7.54 cde77.67 ± 3.29 de89.53 ± 5.42 cd108.65 ± 14.25 ab78.31 ± 1.25 de73.39 ± 5.28 e87.89 ± 6.38 cde
E32ethyl (Z)-hex-3-enoate6.17 ± 0.02 a5.76 ± 0.08 b4.74 ± 0.18 c4.38 ± 0.17 d3.59 ± 0.07 f3.72 ± 0.10 f4.47 ± 0.15 d5.73 ± 0.08 b4.11 ± 0.08 e4.93 ± 0.26 c
E33ethyl (E)-hex-3-enoate6.23 ± 0.06 a5.76 ± 0.09 b4.84 ± 0.17 c4.42 ± 0.14 d3.60 ± 0.06 f3.72 ± 0.10 f4.48 ± 0.15 d5.75 ± 0.05 b4.13 ± 0.11 e4.93 ± 0.26 c
E34ethyl 2-hydroxypropanoate660.70 ± 53.21 cd502.32 ± 72.96 d803.39 ± 32.16 c444.03 ± 54.87 ef1152.29 ± 154.20 b6288.03 ± 328.12 a1325.29 ± 44.64 b276.50 ± 18.44 f540.23 ± 52.35 d764.63 ± 7.16 c
E35methyl 2-hydroxy-3-methylbutanoate697.28 ± 40.45 a695.63 ± 170.5 a664.23 ± 98.68 ab10.16 ± 0.81 bc222.63 ± 16.17 d471.69 ± 25.43 c281.02 ± 25.06 d312.55 ± 13.29 d448.82 ± 18.75 c612.56 ± 23.45 ab
E36ethyl octanoate62.71 ± 0.10 b14.39 ± 0.28 f58.70 ± 3.95 bc121.44 ± 13.00 a26.63 ± 0.19 de26.09 ± 0.17 e32.42 ± 0.62 d14.20 ± 0.09 f27.45 ± 0.26 de53.96 ± 1.84 c
E37ethyl decanoate61.63 ± 0.50 b10.35 ± 3.01 c43.49 ± 5.3 bc351.40 ± 66.69 a23.02 ± 0.41 bc22.87 ± 0.79 bc21.77 ± 0.39 bc6.81 ± 0.28 c22.44 ± 0.28 bc61.12 ± 1.18 b
E38ethyl 9-decenoate14.13 ± 0.36 e6.56 ± 0.11 f21.71 ± 0.38 c24.75 ± 0.55 a20.96 ± 0.02 d20.98 ± 0.07 d20.90 ± 0.09 d6.56 ± 0.09 f20.94 ± 0.02 d22.55 ± 0.15 b
E392-phenylethyl acetate14.18 ± 0.19 c14.44 ± 3.12 c15.09 ± 0.62 c10.16 ± 0.81 cd104.22 ± 8.85 a4.38 ± 0.03 d9.06 ± 0.63 cd52.03 ± 7.15 b15.32 ± 0.80 c8.76 ± 0.16 cd
E40ethyl dodecanoate45.81 ± 6.01 b32.12 ± 1.80 cd41.43 ± 0.69 b85.36 ± 9.41 a41.27 ± 3.13 b40.77 ± 0.71 b39.9 ± 0.90 bc31.22 ± 1.39 d40.95 ± 1.39 b43.27 ± 1.67 b
 total esters35 574.66 ± 976.14 d359 609.62 ± 91 526.85 a29 133.39 ± 3065.49 d88 914.53 ± 7941.12 c80 641.38 ± 6438.75 c41 124.35 ± 2240.19 cd36 186.42 ± 1451.88 d31 795.03 ± 312.98 d209 685.40 ± 20 716.06 b63 412.69 ± 2082.86 cd
K41butane-2,3-dione1458.75 ± 14.58 bcd4547.69 ± 553.50 a1362.47 ± 125.58 cd1193.19 ± 40.54 d1304.87 ± 67.65 d1699.44 ± 19.28 bc1428.46 ± 33.36 bcd585.98 ± 9.89 e1389.90 ± 88.04 cd1747.78 ± 51.53 b
K42pentane-2,3-dione97.15 ± 2.22540.44 ± 35.70274.68 ± 38.29100.03 ± 8.15120.95 ± 4.01214.70 ± 20.0034.59 ± 5.3924.39 ± 2.33nqnq
K433-hydroxybutan-2-one1052.11 ± 107.19 b38 780.30 ± 9646.81 a1774.40 ± 139.70 b1485.43 ± 113.12 b1683.79 ± 82.95 b4593.18 ± 155.27 b1439.90 ± 61.05 b1270.44 ± 19.87 b846.34 ± 42.62 b976.38 ± 95.72 b
K446-methyl-5-hepten-2-one2.21 ± 0.23 a1.50 ± 0.07 b1.62 ± 0.22 b1.46 ± 0.07 bc0.90 ± 0.02 e0.99 ± 0.05 de1.09 ± 0.03 d1.29 ± 0.03 c1.05 ± 0.05 de1.47 ± 0.07 bc
 total ketones2610.23 ± 64.08 b43 869.93 ± 9311.03 a3413.17 ± 298.22 b2780.10 ± 157.49 b3110.50 ± 146.20 b6508.30 ± 116.57 b2904.03 ± 83.41 b1882.11 ± 28.93 b2237.24 ± 96.63 b2722.61 ± 110.50 b
AL45acetaldehyde19 534.48 ± 1057.28 b5065.22 ± 1609.09 e26 176.64 ± 585.52 a28 111.68 ± 1452.28 a8935.28 ± 213.86 d6380.61 ± 1225.63 e15 990.54 ± 434.29 c8750.48 ± 412.95 d26 383.19 ± 2209.75 a15 686.16 ± 423.97 c
AL462-methylbutanal4.06 ± 0.044.57 ± 0.6419.09 ± 4.4014.31 ± 3.33nqnqnq4.17 ± 0.21nq0.99 ± 0.26
AL473-methylbutanal13.10 ± 1.206.95 ± 2.0055.30 ± 8.2937.96 ± 3.04nqnqnq5.33 ± 0.249.86 ± 1.8514.4 ± 1.26
AL48benzaldehydenq14.21 ± 0.4927.18 ± 0.2627.55 ± 0.2127.27 ± 0.2026.13 ± 0.0625.95 ± 0.0613.15 ± 0.0625.94 ± 0.0327.09 ± 0.21
 total aldehydes19 075.06 ± 669.48 b5090.95 ± 1607.86 e26 278.21 ± 588.20 a28 191.49 ± 1446.30 a8958.37 ± 213.18 d6396.55 ± 1226.11 e16 009.93 ± 435.94 c8773.14 ± 413.19 d26 417.71 ± 2211.33 a15 728.63 ± 424.28 c
AC491-ethoxy-1-methoxyethane2809.94 ± 71.68 e7856.81 ± 3302.63 d10 422.28 ± 138.93 c17 052.87 ± 1584.74 a7665.10 ± 146.99 d5887.39 ± 443.44 d10 031.52 ± 88.50 c13 583.38 ± 539.40 b560.19 ± 99.46 f10 491.72 ± 137.13 c
AC501,1-diethoxyethane46 474.62 ± 2367.92 b14 402.77 ± 5119.68 g37 560.37 ± 3731.13 cd56 567.63 ± 4722.88 a26 349.52 ± 2825.82 e17 949.24 ± 1029.71 fg34 637.50 ± 214.40 d23 099.34 ± 772.44 ef42 635.52 ± 5390.93 bc39 583.48 ± 818.94 cd
AC511-(1-ethoxyethoxy)pentane1102.77 ± 173.33 c479.52 ± 29.23 g927.00 ± 51.27 d1315.37 ± 45.58 b623.99 ± 35.90 ef524.50 ± 43.05 fg899.53 ± 59.46 d704.30 ± 26.53 e693.59 ± 104.31 e1491.32 ± 93.24 a
 total acetals50 387.33 ± 1746.25 bc22 739.10 ± 8408.23 e48 909.65 ± 3678.64 bc74 935.87 ± 3239.49 a34 638.61 ± 2950.72 d24 361.14 ± 1044.05 e45 568.55 ± 175.45 bc37 387.02 ± 1324.14 d43 889.29 ± 5590.46 c51 566.53 ± 863.15 b
FA522-methylpropanoic acid2852.26 ± 387.34 cd1988.50 ± 437.66 cd2261.46 ± 224.78 cd2252.57 ± 293.37 cd8783.81 ± 2244.57 a7539.62 ± 210.60 a5125.00 ± 152.68 b2243.46 ± 291.32 cd3344.44 ± 157.01 c1578.94 ± 113.64 d
FA53pentanoic acid8207.11 ± 204.76 c2033.72 ± 523.40 f9461.07 ± 1230.91 b6332.52 ± 697.80 d8702.58 ± 623.80 bc3688.12 ± 102.94 e4628.54 ± 534.60 e1973.00 ± 178.31 f15 629.12 ± 420.59 a9107.30 ± 1045.24 bc
FA54heptanoic acid776.73 ± 22.65 a305.70 ± 28.32 e481.85 ± 11.58 d592.91 ± 38.2 c299.17 ± 11.38 e282.35 ± 3.67 ef289.33 ± 9.17 ef260.27 ± 2.86 f303.35 ± 7.05 e709.93 ± 12.06 b
FA55octanoic acid7025.54 ± 863.13 c1616.63 ± 467.66 e7736.84 ± 960.78 c14 716.02 ± 1499.50 b3374.48 ± 212.88 d1105.82 ± 215.87 e1145.46 ± 179.76 e559.34 ± 107.44 e1748.70 ± 170.31 e17 102.96 ± 2060.62 a
 total fatty acids18 861.64 ± 458.56 c5944.53 ± 1398.99 e19 941.21 ± 1561.25 c23 894.02 ± 2381.96 b21 160.04 ± 2838.92 c12 615.90 ± 290.38 d11 188.34 ± 595.20 d5036.08 ± 393.78 e21 025.61 ± 651.06 c28 499.13 ± 1070.44 a
M563,7-dimethylocta-1,6-dien-3-ol9.30 ± 0.43 a8.52 ± 2.39 abc9.18 ± 0.22 a7.56 ± 0.59 bcd6.47 ± 0.34 d6.21 ± 0.24 d7.27 ± 0.78 cd6.49 ± 0.50 d6.52 ± 0.42 d8.97 ± 0.31 ab
M572-(4-methylcyclohex-3-en-1-yl)propan-2-ol11.53 ± 0.71 bcd10.2 ± 2.06 d11.82 ± 0.07 bc11.96 ± 0.17 b10.43 ± 0.71 cd10.11 ± 0.25 d10.66 ± 0.83 bcd8.65 ± 0.63 e12.11 ± 0.41 ab13.45 ± 0.18 a
 total monoterpenes20.83 ± 1.01 ab18.71 ± 4.45 bcd21.01 ± 0.21 ab19.52 ± 0.65 abc16.90 ± 1.03 cde16.31 ± 0.26 de17.93 ± 1.50 bcde15.15 ± 1.11 e18.63 ± 0.59 bcd22.42 ± 0.13 a
B581,3,5-trimethylbenzene5.64 ± 0.01 e7.78 ± 1.91 d12.65 ± 1.53 ab12.09 ± 0.93 bc12.42 ± 0.31 ab11.47 ± 0.41 bc10.75 ± 0.38 c7.33 ± 0.31 d4.82 ± 0.01 e13.85 ± 0.72 a
B591,3-di-tert-butylbenzene8.15 ± 0.30 a6.41 ± 0.41 b8.29 ± 1.70 a8.41 ± 0.42 a8.39 ± 0.59 a7.13 ± 0.24 ab7.92 ± 0.64 a8.58 ± 1.21 a7.46 ± 0.28 ab8.53 ± 0.14 a
 total benzenes13.79 ± 0.31 cd14.19 ± 2.31 cd20.94 ± 2.61 ab20.49 ± 1.25 ab20.81 ± 0.74 ab18.60 ± 0.58 b18.68 ± 0.32 b15.91 ± 0.93 c12.28 ± 0.28 d22.38 ± 0.77 a

Results represent the mean ± SD (n = 3). Values in the same raw with different letters (a–h) are significantly different according to Duncan test (p < 0.05). nq, not quantitated (

SC1116, HU26650, SP70572, SL3447, ZB70492, LT3434, TD291, PT70352, IO3434, and MP70321 represent S. cerevisiae Lalvin V1116, H. uvarum 26650, S. pombe 70572, S. ludwigii 3447, Z. bailii 70492, L. thermotolerans 3434, T. delbrueckii 291, P. tannophilus 70352, I. orientalis 3433, and M. pulcherrima 70321, respectively.

Figure 3

PCA and PLS-DA models using contents of volatile compounds (n = 59) to explain the differences between alcoholic bilberry beverages fermented with different yeasts (n = 10 in PCA; n = 4 in PLS-DA). The variable codes and abbreviations of yeasts refer to those in Table .

PCA and PLS-DA models using contents of volatile compounds (n = 59) to explain the differences between alcoholic bilberry beverages fermented with different yeasts (n = 10 in PCA; n = 4 in PLS-DA). The variable codes and abbreviations of yeasts refer to those in Table . Results represent the mean ± SD (n = 3). Values in the same raw with different letters (a–h) are significantly different according to Duncan test (p < 0.05). nq, not quantitated ( SC1116, HU26650, SP70572, SL3447, ZB70492, LT3434, TD291, PT70352, IO3434, and MP70321 represent S. cerevisiae Lalvin V1116, H. uvarum 26650, S. pombe 70572, S. ludwigii 3447, Z. bailii 70492, L. thermotolerans 3434, T. delbrueckii 291, P. tannophilus 70352, I. orientalis 3433, and M. pulcherrima 70321, respectively. Despite the similarities in the volatile profiles within each of the two sample groups (SC1116, SP70572, SL3447, and MP70321 or ZB70492, TD291, LT3434, and PT70352), some variables contributing to the differences may have the ability to distinguish them from each other using more targeted multivariate analysis. Therefore, two additional PLS-DA models were established (Figure B,C). Samples SC1116, SP70572, SL3447, and MP70321 were classified in the first PLS-DA model with four validated factors (R2 = 0.989; validated R2 = 0.972) (Figure B), indicating that each of the four samples possessed a unique volatile profile. Fermentation with SL3447 was distinctly separated to the other three samples by its high production of ester compounds, like ethyl acetate (E22), ethyl propanoate (E23), ethyl octanoate (E36), ethyl decanoate (E37), and ethyl dodecanoate (E40), resulting in a 2.5 times higher amount of total esters than that with the control SC1116 (Table ). Fermentation with MP70321 was characterized by a high content of higher alcohols as propan-1-ol (HA1), 2-methylpropan-1-ol (HA2), butan-1-ol (HA4), 3-methylbutan-1-ol (HA7), 3-methylpentan-1-ol (HA11), 2-ethylhexan-1-ol (HA17), 3-(methylthio)-1-propanol (HA19), and 2-phenylethanol (HA20). MP70321 was the only among the nine non-Saccharomyces samples that showed a significantly higher content of higher alcohols than the control SC1116 (316 vs 249 mg/L) (Table ), which may result from the high decarboxylase activity in the conversion of keto acids in this species. The high yield of higher alcohols was also detected in the productions of sparkling wine and red wine inoculating with M. pulcherrima.[36,37] High production of unpleasant compounds, such as pentane-2,3-dione (K42), 3-hydroxybutan-2-one (K43), 2-methylbutanal (AL46), and 3-methylbutanal (AL47), differed in sample SP70572 from the other samples on factor-3 (Figure B). Similarly, a clear separation of fermentations with PT70352, ZB70492, LT3434, and TD291 was observed in the second PLS-DA model with four validated factors (R2 = 0.992; validated R2 = 0.985) (Figure C). Fermentation with PT70352 was on the negative side of factor-1 due to the high concentration of 3-methylpentan-1-ol (HA11), (Z)-hex-3-en-1-ol (HA14), methyl acetate (E21), methyl hexanoate (E29), ethyl (Z)-hex-3-enoate (E32), ethyl (E)-hex-3-enoate (E33), 6-methyl-5-hepten-2-one (K44), 2-methylbutanal (AL46), 3-methylbutanal (AL47), and 1-ethoxy-1-methoxyethane (AC49). Because of the significant difference in the concentration of aldehydes, ketones, and acetals, ABBs produced with LT3434 and TD291 were located on the opposite side of factor-2. The final product fermented with ZB70492 differed from the samples produced with the other three yeasts partly due to the concentration of fatty acids.

Evolution of Volatile Compounds during Fermentation

Figure shows the evolution of 59 volatile compounds during the fermentation process. The compounds were grouped into eight groups on the basis of their chemical classes. The monitoring analysis allowed us to assess the behavioral difference of each volatile compound during the 10 different fermentations. Generally, the concentrations of higher alcohols increased constantly and reached their maximum at the later stage of the fermentations with SC1116, SP70572, SL3447, ZB70492, PT70352, and MP70352. Nevertheless, the concentrations of higher alcohols increased sharply during the early to middle stages of fermentation followed by significant declines were also observed in the fermentations with HU26650, TD291, and LT3434. The decrease in these alcohols might partly be ascribed to the esterification reaction to yield their corresponding esters.[38] Among the 20 higher alcohols detected, 3-methylbutan-1-ol (HA7) and 2-methylbutan-1-ol (HA6) dominated throughout all 10 fermentations with different yeast strains (Table S3). 2-Phenylethanol (HA20), a floral odor contributor and metabolite formed in the Ehrlich pathway through the catabolism of phenylalanine,[39] followed a constant trend of increase all of the way through the fermentation with SC1116, HU26650, SP70572, SL3447, ZB70492, TD291, PT70352, and MP70321. 3-(Methylthio)-1-propanol (HA19), a compound derived from the catabolism of methionine during fermentation,[39] is the only sulfur compound detected in the ABBs. It is worth noting that this compound, often contributing to off-flavor in alcoholic beverages, reached its highest concentration after 12 days of inoculations with all yeast strains except PT70352. The concentration of 3-(methylthio)-1-propanol peaked after only 3 days of fermentation with PT70352, indicating a higher conversion efficiency of methionine of this yeast strain compared with the other ones.
Figure 4

Heatmap visualization of the dynamic change in the concentration (based on normalized concentration) of the detected 59 volatile compounds during alcoholic bilberry beverage fermentations with 10 different yeasts. Each row on the heatmap represents the normalized concentration of an individual volatile compound (three replicates). Each column represents one fermentation with a particular strain after a particular period. The color scheme from blue to red represents the normalized value from low to high.

Heatmap visualization of the dynamic change in the concentration (based on normalized concentration) of the detected 59 volatile compounds during alcoholic bilberry beverage fermentations with 10 different yeasts. Each row on the heatmap represents the normalized concentration of an individual volatile compound (three replicates). Each column represents one fermentation with a particular strain after a particular period. The color scheme from blue to red represents the normalized value from low to high. Esters are another main group of secondary products produced by yeast metabolism during the fermentation of ABBs. The effect of the yeast strain on the change of the ester profile during ABB productions is complex. However, in general, the highest amounts of ethyl 3-methylbutanoate (E27), methyl hexanoate (E29), and ethyl hexanoate (E30) were obtained within the first 3 days of fermentations with SP70572, ZB70492, LT3434, and PT70352, whereas the concentrations of ethyl propanoate (E23), ethyl 2-methylpropanoate (E24), ethyl butanoate (E26), 3-methylbutyl acetate (E28), ethyl 2-hydroxypropanoate (E34), methyl 2-hydroxy-3-methylbutanoate (E35), and 2-phenylethyl acetate (E39) in the fermentation with SC1116 and SP70572 peaked at the end of the process. Interestingly, the evolution trend of esters of rising first followed by a significant concentration drop till the end of fermentation was more common in the samples fermented for a relatively longer time, such as fermentation with LT3434, TD291, PT70352, IO3433, and MP70321. The increasing release of cellular esterases along with fermentation might result in the decline of esters.[40] Ethyl acetate was the major compound accounting for more than 75% of the total ester content in ABBs (Table S3). Ethyl acetate is also known as being responsible for aroma deterioration.[41] The evolution of ethyl acetate in the fermentation could be distinguished into three different patterns: continuous accumulation throughout fermentation as in SC1116, HU26650, SP70572, and ZB70492 and PT70352; an initial sharp increase followed by a slow but constant decline as in SL3447, LT3434, TD291, and IO3433; finally, an increase at the early stage followed by fluctuation in the later stage as in MP70321. Fatty acids play an extremely important role not only in the determination of the flavor feature of fermented beverages but also in the biosynthesis of fatty acid ethyl esters.[42] Generally, the concentrations of fatty acids increased for a certain time followed by a significant decrease, except those in the fermentations with SP70572 and MP70321, which showed a gradual increase. The reduction of fatty acids may be related to the occurrence of enzyme-mediated esterification between fatty acids and ethanol and to their absorption within yeast cell walls.[1,42] Carbonyl compounds, including four aldehydes and four ketones, are intermediates in the formation of ethanol and higher alcohols from sugars and amino acids and generally are the early metabolic by-products of fermentation.[43] The transformation of carbonyl compounds, such as the reactions converting acetaldehyde (AL45) to ethanol and butane-2,3-dione (K41) to 3-hydroxybutan-2-one (K43), constantly occurred during yeast fermentation. Therefore, these carbonyl compounds generally showed a similar pattern of accumulating at the early stage followed by a significant decrease in the fermentation with all yeast strains. Acetals, including 1-ethoxy-1-methoxyethane (AC49), 1,1-diethoxyethane (AC50), and 1-(1-ethoxyethoxy)-pentane (AC51) were detected in this study. They are metabolites from fermentation through the reactions between acetaldehyde and alcohol.[38] Consequently, the concentration of acetals showed a similar changing pattern to that of the aforementioned aldehydes during yeast fermentation. Monoterpenes and benzenes are the two minor groups in the varietal volatile compounds as their concentrations in all samples were lower than 20 μg/L throughout fermentation. Monoterpenes are reported to be responsible for floral odor in alcoholic beverages.[44] However, in this study, 3,7-dimethylocta-1,6-dien-3-ol (M56, linalool) and 2-(4-methylcyclohex-3-en-1-yl)propan-2-ol (M57, α-terpineol) may not contribute to the overall bouquet of ABBs due to their lower concentrations than their reported odor thresholds.[45] In all of the fermentation with each of the 10 yeast strains, the concentrations of monoterpenes showed a gradual increase and peaked at the end of the fermentation. The results are in line with the previous findings where the contents of α-terpineol, β-citronellol, borneol, and β-phellandrene increased to the levels above their odor thresholds at the later stage of fermentation of blueberry wine.[46] The concentration of benzenes (B58 and B59) reached the highest at the middle or middle-end stage and remained at the high level until the completion of fermentation. In conclusion, to the best of our knowledge, this is the first report on the dynamic evolution of volatile compounds during the production of alcoholic bilberry beverages using nonconventional yeasts. Fermentations with non-Saccharomyces yeasts, especially with H. uvarum and P. tannophilus, produced less ethanol than that with S. cerevisiae. Ethanol content affected the extraction efficiency of other volatile compounds to HS-SPME fiber, highlighting the necessity of taking ethanol concentration into account when quantitating the volatile compounds in fermented bilberry samples. This conclusion could be extended to other fermentation procedures in which dynamic changes occur in the alcohol content. The evolution of volatile compounds during fermentation is yeast dependent. The new information on the diverse profiles of volatile compounds in the fermented bilberry beverages and on the dynamic changes in these compounds during fermentation will facilitate a better understanding of the biochemistry of the non-Saccharomyces yeasts in nongrape matrices. Moreover, since non-Saccharomyces yeasts are currently exploited in sequential or simultaneous inoculation with S. cerevisiae to provide diversity to the aroma profiles of alcoholic beverages, this study provides novel findings, which can be used for reducing or eliminating the accumulation of volatile compounds having potentially negative impact on aroma of alcoholic beverages during fermentation by non-Saccharomyces yeasts.
  25 in total

Review 1.  The Ehrlich pathway for fusel alcohol production: a century of research on Saccharomyces cerevisiae metabolism.

Authors:  Lucie A Hazelwood; Jean-Marc Daran; Antonius J A van Maris; Jack T Pronk; J Richard Dickinson
Journal:  Appl Environ Microbiol       Date:  2008-02-15       Impact factor: 4.792

2.  Torulaspora delbrueckii in the brewing process: A new approach to enhance bioflavour and to reduce ethanol content.

Authors:  Laura Canonico; Alice Agarbati; Francesca Comitini; Maurizio Ciani
Journal:  Food Microbiol       Date:  2015-12-21       Impact factor: 5.516

3.  Influence of a Saccharomyces cerevisiae selected strain in the volatile composition of rosé wines. Evolution during fermentation.

Authors:  P Fraile; J Garrido; C Ancín
Journal:  J Agric Food Chem       Date:  2000-05       Impact factor: 5.279

Review 4.  The impact of Torulaspora delbrueckii yeast in winemaking.

Authors:  Santiago Benito
Journal:  Appl Microbiol Biotechnol       Date:  2018-02-28       Impact factor: 4.813

5.  The application of non-Saccharomyces yeast in fermentations with limited aeration as a strategy for the production of wine with reduced alcohol content.

Authors:  A Contreras; C Hidalgo; S Schmidt; P A Henschke; C Curtin; C Varela
Journal:  Int J Food Microbiol       Date:  2015-03-31       Impact factor: 5.277

Review 6.  The impacts of Lachancea thermotolerans yeast strains on winemaking.

Authors:  Santiago Benito
Journal:  Appl Microbiol Biotechnol       Date:  2018-06-06       Impact factor: 4.813

7.  Volatile composition of bilberry wines fermented with non-Saccharomyces and Saccharomyces yeasts in pure, sequential and simultaneous inoculations.

Authors:  Shuxun Liu; Oskar Laaksonen; Baoru Yang
Journal:  Food Microbiol       Date:  2018-12-28       Impact factor: 5.516

8.  Co-fermentation of grape must by Issatchenkia orientalis and Saccharomyces cerevisiae reduces the malic acid content in wine.

Authors:  Dong-Hwan Kim; Young-Ah Hong; Heui-Dong Park
Journal:  Biotechnol Lett       Date:  2008-04-15       Impact factor: 2.461

Review 9.  Physiology, ecology and industrial applications of aroma formation in yeast.

Authors:  Maria C Dzialo; Rahel Park; Jan Steensels; Bart Lievens; Kevin J Verstrepen
Journal:  FEMS Microbiol Rev       Date:  2017-08-01       Impact factor: 16.408

10.  Aroma Profile of Montepulciano d'Abruzzo Wine Fermented by Single and Co-culture Starters of Autochthonous Saccharomyces and Non-saccharomyces Yeasts.

Authors:  Rosanna Tofalo; Francesca Patrignani; Rosalba Lanciotti; Giorgia Perpetuini; Maria Schirone; Paola Di Gianvito; Daniel Pizzoni; Giuseppe Arfelli; Giovanna Suzzi
Journal:  Front Microbiol       Date:  2016-04-28       Impact factor: 5.640

View more
  1 in total

1.  Improvement of Torulaspora delbrueckii Genome Annotation: Towards the Exploitation of Genomic Features of a Biotechnologically Relevant Yeast.

Authors:  Carolina Santiago; Teresa Rito; Daniel Vieira; Ticiana Fernandes; Célia Pais; Maria João Sousa; Pedro Soares; Ricardo Franco-Duarte
Journal:  J Fungi (Basel)       Date:  2021-04-10
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.