- Academic Editor
Background: In the search of tools to deal with climate change-related effects along with the aim of avoiding the loss of aromatic typicity in wine, two native yeasts strains of Saccharomyces cerevisiae (CLI 271 and CLI 889) were evaluated to determine their influence on white Malvasia aromatica wines aroma composition and sensory characteristics. Methods: The strains were tested versus a commercial yeast strain (LSA). The fermentations were performed on grape must of the Malvasia aromatica variety previously macerated. Wine quality was studied by analysis of oenological parameters together with volatile aroma components using gas chromatography coupled to flame ionization detector (GC-FID) to quantify major volatiles compounds and headspace-solid phase microextraction coupled with gas chromatography-mass spectrometry (HS-SPME/GC-MS) to determine terpenoids and C13-norisoprenoids. Sensorial analysis was also realized by an experienced taster panel. Results: Wines from locally-selected yeasts strains used had lower volatile acidity levels and higher concentration of aromatic compounds compared to the commercial strain ones. The yeast strain S. cerevisiae CLI 271 provided wines with a higher concentration of esters related to fruity attributes, especially isoamyl acetate. The tasting panel highlighted the strong floral character of wines from S. cerevisiae CLI 889 fermentation. Conclusions: The use of microorganisms well adapted to climatic conditions can be used to produce quality wines of the Malvasia aromatica variety.
The use of native yeast strains in a particular region is an important instrument with the aim of improving the sensory quality of wines. Native yeast strains are the microorganisms best adapted to the characteristics of terroir, climate and cultivar condition from which they have been isolated and therefore may be able to enhance the aromas, structure and color of the wine [1, 2].
Fermentation using autochthonous yeasts have aroused great interest to try to extract the typical organoleptic characteristics of a region. However, the quality of the product can be highly variable between consecutive seasons and it is also difficult to know exactly which yeasts are acting. On the other hand, the yeast activity during a spontaneous fermentation could contribute to fewer desirable attributes to the wine. In addition, natural fermentations can lead to slow or stopped fermentations and the spread of contaminating yeasts. To avoid this variability, commercial active dry wine yeasts (LSA from Saccharomyces strains) are used. A successful implantation of inoculated LSA encourages a rapid start of fermentation and a total consumption of fermentable sugars [3], however it has been shown that a product of uniform quality can be obtained using commercial yeast throughout the different vintages [4, 5]. Nevertheless, some winemakers consider that in this way the differential character of the harvests, aromatic variability and varietal sensory nature could be lost [6, 7]. To keep away from this loss of typicality, today there is a tendency to select autochthonous strains that are adapted to each wine-growing area and, therefore, to the climatic conditions, to the grape varieties of each territory and to the practices and techniques of winemaking used [8]. These strains will be responsible, partially, on the sensory characteristics of the wines obtained in each region.
The vineyard is a crop whose correct development is influenced by the climate. The suitability of wine-growing areas to reach optimum levels of sugar, pH, color and aromatic components, which are necessary for the production of quality wines, depends on weather conditions throughout the growing period [9, 10]. In order to manage climate change-related effects, the adaptation tools on winemaking can be implemented at the winery level or at the vineyard level [11]. In oenology, innovations can be considered an important strategy to protect against climate variations related effects by focusing on specific hazards towards the improvement of the production. These techniques include changes in winemaking practices by using better adapted microorganisms.
Yeasts contribute to wine aroma by several mechanisms: the compounds formed during alcoholic fermentation have a decisive influence on the volatile composition of wine, the novo biosynthesis of volatile compounds and transformation of neutral grape compounds into flavor-active components. The main groups of compounds that form the fermentation aroma are esters, higher alcohols, and volatile acids, as well as varietal compounds. Aroma is one of the most influential factors on wine quality and consumers preferences [12]. Climatic conditions can affect the correct development of the varietal aroma compounds of the grape [13] and could contribute to the synthesis of non-desirable aromas through alcoholic fermentation by altering the aroma quality of the wine. The mitigation techniques developed before, during or after fermentation will have influence on the wine final aroma composition. Several studies have been carried out to determine this influence in order to improve the sensory quality of wines. Skin-contact treatment has been proposed as a first measure of adaptation to climate change related effects in our laboratories [14]. As a second measure, we use native yeast strains as strategy to protect against climate variations effects.
Madrid is located in the center of Spain with specific climatic conditions with a predominance of hot summers, cold winters and low levels of rainfall. Climate forecasts indicate a progressive increase in temperatures, a decrease in rainfall, and a greater frequency of extreme events such as frosts, storms and heat waves with greater incidence in the center of the Iberian Peninsula [15]. These events could compromise the correct development of the technological and aromatic ripening of the grapes, preventing the production of intense aromatic white wines.
The aim of this work was the use of autochthonous and better adapted microorganisms in order to intensify the aroma potential of winemaking white wines in the Protected Designation of Origin (PDO) “Vinos de Madrid” preserving the sensory and distinctive characteristics of the region. We choose cv. Malvasia aromatica, a white grape variety of Italian origin with great aromatic potential [16, 17, 18] and physical-chemical characteristics that give rise to musts with high acidity and low pH, for its interest and potential application as a suitable varietal to improve the organoleptic quality of the Madrid wines.
Malvasia aromatica white grapes cultivated in Madrid winegrowing region were hand-harvested and elaborated in the Experimental Winery from IMIDRA Institute at the “Finca El Encín”, in Alcalá de Henares, Spain.
The S. cerevisiae yeast strains (CLI 271 and CLI 889) were isolated from wineries of the PDO “Vinos de Madrid” and selected based on its good oenological properties by the Oenological Microbiology Laboratory of the Department of Agrifood Research at Madrid Institute for Rural, Agriculture and Food Research and Development (IMIDRA) Institute. These two native strains are well-known and widely tested at IMIDRA laboratories. Specifically, S. cerevisiae CLI 889 presented a high fermentative capacity and optimal implantation rate, resistance to ethanol, fruity and fresh character and it is low-producer of acetic acid, hydrogen sulfide and sulfur dioxide [19, 20]. Likewise, the use of CLI 271 strain was interesting for its capacity of consumption of amino acids precursor of oxidation notes, reducing oxidation notes after sensorial analysis [21]. These strains were tested versus a S. cerevisiae active dry commercial yeast (LSA Vario from Agrovin), considered as control. The fermentations were performed on must previously macerated at 10 °C for 18 h. After cold maceration, Malvasia aromatica must showed 21.4 °Brix and 164 mg/L of yeast assimilable nitrogen (YAN), the pH value was 3.32 and the titratable acidity was 5.4 (expressed as g/L of tartaric acid). The must was divided into seven tanks. Moreover, the addition of nutrients (Actimax plus 30 g/hL) was done at the beginning and half of fermentation to encourage the growth of yeasts.
Three were inoculated with the CLI 271 yeast, three others with the CLI 889
strain and the last one with the commercial yeast (LSA, was used as a control).
Each S. cerevisiae strain was inoculated in grape must at a
concentration of 10
Pre- and post-fermentation parameters were analyzed from each treatment replication. International Organisation of Vine and Wine (OIV) official methods [22] were used for the analysis of °Brix, free and total sulphur dioxide, pH, titratable acidity, residual sugars and volatile acidity. Fermentation kinetic was controlled by daily monitoring of the density. The fermentative capacity was valuated as the difference between the initial and the final sugar content.
Twenty-six major volatiles were determined by gas chromatography coupled to flame ionization detector (GC-FID; Agilent Technologies, Santa Clara, CA, USA) with the method described by Ortega [23] and 9 minor volatiles by gas chromatography coupled to mass spectrometry (GC-MS; Agilent, Santa Clara, CA, USA) following the method proposed by Yuan and Qian [24].
The extraction of major aroma compounds was performed in dichloromethane using
DB-WAX - high-polarity, polyethylene glycol (PEG) column (60 m
Terpenoids and C13-norisoprenoids (minor volatiles) were determined using
headspace-solid phase microextraction coupled with gas chromatography-mass
spectrometry (HS-SPME/GC-MS) following the method proposed by Yuan and Qian [24]
using an Agilent 6890 gas chromatograph equipped with an Agilent 5973 mass
selective detector (Agilent). Two mL of the wine sample were diluted with 8 mL of
a citric acid solution (0.5 g/L citric acid, pH 3 saturated with sodium chloride)
and 20 µL of 4-octanol (100 µg/L) used as internal standard; all were
mixed with a small magnetic stir bar. For volatile extraction a 50/30
µm Divinylbenzene (DVB)/Carboxen (CAR)/Polydimethylsiloxane (PDMS) fiber (Supelco Inc., Bellefonte, PA, USA) was used.
The vials for chromatography (20 mL of volume, Agilent Technologies, Santa Clara, CA, USA) were tightly
capped and equilibrated at 50 °C in a thermostatic bath for 10
min and extracted by SPME fiber for 50 min at the same temperature with stirring
(1000 rpm). To desorb the analytes, the fiber was manually inserted into the
injection port of the GC at 230 °C. A DB-Wax column from J&W
Scientific (Folsom, CA, USA) (60 m
Descriptive sensory analyses were performed by a trained panel of 8 people (4 expert tasters and 4 habitual consumers) from the IMIDRA Institute. This panel had been previously trained in a normalized tasting room in the recognition of wine flavor. Wines were compared by triangle tests (International Organization for Standardization (ISO) 4120:2004) to assess whether aroma differences existed between the different S. cerevisiae fermentations. Sensory descriptive analysis was performed in used to describe and quantify attributes of the wines on the basis of a scale from 1 (low intensity) to 10 (high intensity). The chart included a visual phase (color, color intensity, vivacity/brightness), an olfactory phase (aroma intensity and quality, fruity, vegetal, floral, alcoholic and alteration aroma (off flavour) such as oxidation or microbiologic) and a gustatory phase (alcoholic character, acidity, fruity, vegetal/herbaceous, bitter, body/structure, salty, global taste quality). A hedonic classification was also carried out establishing the order of preference of the samples presented. The final score was obtained as the mean of the wine evaluations with their respective standard deviation and interpreted by graphical representation.
The statistical processing of the data was carried out with software SPSS ver.
20.0 (SPSS, Inc, Chicago, IL, USA). Analysis of variance (ANOVA) was applied on
oenological parameters, volatile compounds and sensory attributes of the wines.
Tukey honestly significant difference (HSD) post-hoc tests were used to establish
the significance of differences between means to assess significance (p
The three studied S. cerevisiae strains could complete the vinifications (residual sugars below 4 g/L) and the time required to carry out the fermentation was the same.
Physico-chemical parameters of wines remained within the legal limits
established by European Regulation for table wines elaboration: titratable
acidity
The concentration of varietal and major aroma compounds in the wines produced by the tested yeasts was evaluated. Table 1 (Ref. [26, 27, 28, 29, 30, 31]) shows the average and standard deviations of the volatile detected in the different fermentations together with their odor threshold (OTH) [26, 27, 28, 29, 30, 31]. The compounds were classified into chemical families to define their impact on wine and check if there were differences between the yeast strains used. From all the volatile compounds identified, those whose concentrations were higher than their OTH are considered as aroma-contributing compounds. Comparing the total volatiles obtained in the three elaborations, CLI 889 strain wines showed a higher concentration of total volatiles (418.41 mg/L) than those elaborated with CLI 271 and LSA strains (400.78 mg/L and 326.94 mg/L respectively).
Compounds | OTH* | CLI 271 | CLI 889 | LSA | Ref. | ||
Terpenols (µg/L) | |||||||
- | 1.13 |
1.48 |
1.51 | - | |||
- | 0.17 |
0.17 |
0.21 | - | |||
Limonene | 15 | 0.39 |
0.42 |
0.49 | [26] | ||
- | 1.15 |
1.46 |
1.63 | - | |||
Linalool | 25 | 67.53 |
74.29 |
77.01 | [27] | ||
250 | 20.24 |
17.53 |
18.01 | [27] | |||
100 | 12.19 |
18.76 |
16.11 | [28] | |||
Geraniol | 30 | 17.71 |
22.85 |
22.80 | [26] | ||
Total | 120.51 |
136.96 |
137.77 | ||||
C |
|||||||
0.05 | 1.18 |
1.22 |
1.39 | [28] | |||
Total | 1.22 |
1.18 |
1.39 | ||||
Alcohols (mg/L) | |||||||
Isobutanol | 40 | 33.74 |
40.04 |
35.35 | [27] | ||
1-Butanol | 150 | 0.96 |
0.35 |
0.32 | [26] | ||
Isoamyl alcohol | 30 | 285.22 |
315.86 |
224.05 | [27] | ||
1-Hexanol | 8 | 1.46 |
1.65 |
1.53 | [27] | ||
Cis-3-hexen-1-ol | 0.4 | 0.02 |
0.02 |
0.02 | [27] | ||
Methionol | 1 | 1.36 |
0.57 |
0.57 | [27] | ||
14 | 52.42 |
34.59 |
38.15 | [27] | |||
Total | 375.19 |
393.08 |
299.99 | ||||
Lactones (mg/L) | |||||||
35 | 4.85 |
7.15 |
8.95 | [29] | |||
Total | 4.85 |
7.15 |
8.95 | ||||
Fatty acids (mg/L) | |||||||
Isobutyric acid | 2.30 | 1.47 |
1.73 |
1.85 | [30] | ||
Butyric acid | 0.17 | 0.55 |
0.67 |
0.87 | [27] | ||
Isovaleric acid | 0.03 | 2.77 |
2.41 |
2.11 | [27] | ||
Hexanoic acid | 0.42 | 3.10 |
2.58 |
2.51 | [27] | ||
Octanoic acid | 0.50 | 3.34 |
2.60 |
2.63 | [27] | ||
Decanoic acid | 1 | 0.22 |
0.20 |
0.33 | [27] | ||
Total | 11.44 |
10.19 |
10.3 | ||||
Esters (mg/L) | |||||||
Ethyl butyrate | 0.02 | 0.30 |
0.33 |
0.40 | [27] | ||
Ethyl isovalerate | 0.003 | 0.21 |
0.15 |
0.22 | [27] | ||
Isoamyl acetate | 0.03 | 2.83 |
1.29 |
1.81 | [27] | ||
Ethyl hexanoate | 0.01 | 0.66 |
0.51 |
0.62 | [27] | ||
Hexyl acetate | 1 | 0.15 |
0.11 |
0.14 | [31] | ||
Ethyl lactate | 154 | 3.35 |
3.82 |
2.73 | [26] | ||
Ethyl octanoate | 0.58 | 0.72 |
0.53 |
0.64 | [26] | ||
Ethyl 3-Hydroxy-butyrate | 20 | 0.12 |
0.20 |
0.13 | [29] | ||
Diethyl succinate | 1.20 | 0.00 |
0.17 |
0.10 | [27] | ||
2-Phenylethyl acetate | 0.25 | 0.52 |
0.18 |
0.27 | [27] | ||
Total | 8.85 |
7.29 |
7.05 | ||||
Carbonyl compounds (mg/L) | |||||||
Diacetyl | 0.10 | 0.15 |
0.26 |
0.37 | [28] | ||
Benzaldehyde | 5 | 0.18 |
0.07 |
0.15 | [27] | ||
Total | 0.33 |
0.33 |
0.51 | ||||
Total (mg/L) | 400.78 |
418.19 |
326.94 |
*OTH: Odour threshold values gives in mg/L except terpenols and
LSA: Active dry yeast.
The total concentrations of higher alcohols range from 299 mg/L in the wine
fermented with LSA to 393 mg/L in the wine fermented with CLI 889 strain. Isoamyl
alcohol involved more than 70% of the total alcohols and together with
The total ester content was higher in wines fermented with CLI 271 strain. Esters are very important for the aroma of wine; they are related to fruity aromas [33]. Isoamyl acetate and ethyl lactate were the dominant esters founded in higher concentrations in wines elaborated with CLI 271 strain. Ethyl isovalerate, ethyl butyrate, ethyl hexanoate, ethyl octanoate and 2-phenylethyl acetate exceeded or were very close to the perception threshold in all wines. These results are in agreement with Balboa-Lagunero [21] in white wines of cv. Palomino fino fermented with different yeast strains where resulting wines from CLI 271 fermentation stood out for their ester content.
As regards fatty acids, butyric, isovaleric, hexanoic and octanoic acids were the main ones found in the wines. The concentration was higher in wines fermented with CLI 271 strain, moreover all of them exceeded the olfactory threshold, therefore they will have a significant aromatic impact on the resulting wines. Although the presence of fatty acids is often associated with off-flavours, they will play an important role in the aromatic balance considering their synthesis antagonistic to the hydrolysis of the ester analogues [20, 32].
The lactone family is characterized by typical fruity aromas. Only
Regarding the terpene family, the main monoterpenes found were linalool,
It is important to highlight the significance of
In addition, PCA of aroma composition using analytical triplicates of control
LSA wines (Fig. 1) was performed in order to reveal the compounds that best
differentiated between the Malvasia wines elaborated different yeast strains.
According to PCA results, two main components explaining 62.2% of the total
variance were retained (with a factor loading
Principal component analysis (PCA) of volatile composition data. Malvasia aromatica wines fermented with S. cerevisiae CLI 271, CLI 889 and LSA strains in the squares formed by Principal component 1 (PC1) (31.4%) and Principal component 2 (PC2) (30.8%).
A descriptive tasting of wines was realized at visual, olfactory and gustative
levels which results were statistically treated in order to establish the main
differences found among the wines fermented with the three yeast strains in
study. Differences between wine samples with a significance level of 0.1%
(p
Descriptive analysis of Malvasia wines elaborated with
S. cerevisiae CLI 271, CLI 889 and LSA strains. (A)Visual phase. (B)
Olfactory phase. (C) Gustative phase. The asterisks * and ** correspond to
significant differences between wines from different yeast strains at p
Regarding aroma descriptors (Fig. 2B), the wines elaborated with CLI 889 and LSA
obtained very similar general quality notes (5.6 and 5.8 respectively), very low
defects and non-significant differences on olfactory level. Also, these wines
reached the best scores in terms of aroma intensity, aroma quality and flowery
descriptor. However, CLI 889 wines were considered more alcoholic than others but
without significant differences, and together with LSA wines noticeably more
floral than wines from CLI 271 fermentations (p
About gustative analysis (Fig. 2C), wines from CLI 889 and LSA fermentations
obtained again similar profiles. Both gained the highest outcome for global
quality descriptor, with significant differences between CLI 271 and LSA wines
(p
On the other hand, triangular tests were done to determine whether descriptive analysis was determinant to distinguish the samples. Discriminant triangular tastings were carried out using dark glasses and four series of tastings were performed by each type of wine: CLI 889 vs. CLI 271, CLI 889 vs. LSA, CLI 271 vs. LSA. Moreover, the panelists realized a hedonic classification according to their preference. Preferences were taken into account only when tasters answered correctly on each test. After first test (Table 2), the panelists were able to differentiate between wines from CLI 889 and CLI 271 in three of the four series with a 5% of significance level by triangle tests. The tasting panel showed preference by CLI 889 wines in 70% of cases versus 30% of them selected CLI 271 wines. The second test exhibited an elevated percentage of correct responses when CLI 889 and control LSA were compared. In this case, three of four series were distinguished with significance level of 5% (series 2) and of 1% (series 3 and 4), but was not nevertheless manifested preference between the wines (Table 2). Finally, CLI 271 and LSA wines were compared. The level of correct responses was also very significant in this test, the tasters identified clearly the wines from two yeast strains in three of the four series (significance levels of 1% and 5%), and they expressed preference for CLI 271 wine (Table 2).
Test | Series | Success rate (%) | Preference (%) | ||
CLI 889 | CLI 271 | LSA | |||
T1 | S1 | 5 | 70 | 30 | |
S2 | Ns | ||||
S3 | 5 | ||||
S4 | 5 | ||||
T2 | S1 | Ns | 50 | 50 | |
S2 | 5 | ||||
S3 | 1 | ||||
S4 | 1 | ||||
T3 | S1 | 1 | 53 | 47 | |
S2 | 5 | ||||
S3 | Ns | ||||
S4 | 1 |
Ns, Not significant.
To estimate the sensory contribution of aromatic compounds to overall aroma of
wine, the odor activity value (OAV) was calculated for all aroma compounds in
study (Table 3). The OAV is obtained from the ratio between the concentration of
certain compound and its perception threshold. Thus, a volatile compound
contributes to overall aroma when its concentration is beyond its odor threshold
value (OTH); so, odorants with OAV
Concentration | OAV | ||||||||
CLI 271 | CLI 889 | LSA | CLI 271 | CLI 889 | LSA | ||||
Compounds | OTH |
||||||||
Varietal volatiles (µg/L) | |||||||||
Linalool | 25 | Floral, citric | 67.53 | 74.29 | 77.01 | 2.70 | 2.97 | 3.08 | |
0.05 | Floral, lilac | 1.28 | 1.22 | 1.39 | 23.67 | 24.40 | 27.80 | ||
Major volatiles (mg/L) | |||||||||
Isobutanol | 40 | Alcohol | 33.74 | 40.04 | 35.35 | 0.84 | 1.00 | 0.88 | |
Isoamyl alcohol | 30 | Vegetal/Herbaceous | 9.51 | 10.53 | 7.47 | 9.51 | 10.53 | 7.47 | |
Methionol | 1 | Cooked vegetable | 1.36 | 0.57 | 0.57 | 1.36 | 0.57 | 0.57 | |
Bitterness | |||||||||
14 | Roses | 3.74 | 2.47 | 2.73 | 3.74 | 2.47 | 2.73 | ||
Ethyl butyrate | 0.02 | Acid fruit, apple | 0.30 | 0.33 | 0.40 | 14.96 | 16.41 | 20.10 | |
Ethyl isovalerate | 0.003 | Sweet fruit, orange, blackberry | 0.21 | 0.15 | 0.22 | 69.20 | 51.50 | 72.77 | |
Isoamyl acetate | 0.03 | Banana | 2.83 | 1.29 | 1.81 | 94.37 | 43.01 | 60.19 | |
Ethyl hexanoate | 0.01 | Acid fruit, apple | 0.66 | 0.54 | 0.62 | 65.72 | 53.85 | 62.25 | |
Ethyl octanoate | 0.58 | Acid fruit, apple | 0.72 | 0.55 | 0.64 | 1.24 | 0.95 | 1.10 | |
2-phenylethyl acetate | 0.25 | Green apple | 0.52 | 0.18 | 0.27 | 2.10 | 0.73 | 1.06 | |
Diacetyl | 0.10 | Butter | 0.15 | 0.26 | 0.37 | 1.50 | 2.60 | 3.67 | |
Butyric acid | 0.17 | Cheese | 0.55 | 0.57 | 0.87 | 3.21 | 3.33 | 5.11 | |
Isovaleric acid | 0.03 | Blue cheese | 2.77 | 2.41 | 2.11 | 92.18 | 80.41 | 70.47 | |
Hexanoic acid | 0.42 | Cheese | 3.10 | 2.58 | 2.51 | 7.37 | 6.15 | 5.97 | |
Octanoic acid | 0.50 | Butter, rancid | 3.34 | 2.60 | 2.63 | 6.68 | 5.21 | 5.26 |
Based on these results, we can affirm that the selected indigenous strains, S. cerevisiae CLI 271 and CLI 889, showed a higher synthesis or release of aroma compounds than the commercial strain. Furthermore, no notable differences were found in the release of varietal compounds between strains CLI 889 and LSA, though the tasting panel highlighted the intense floral character of CLI 889 wines, and the strain CLI 271 was able to generate more esters related to fruity aromas. Therefore, the employment of locally-selected yeast strains from Mediterranean vineyard of Madrid better adapted to their climatic conditions can be used for the elaboration of quality wines from Malvasia aromatica variety, which in turn can be introduced as an alternative grape variety for improving the organoleptic quality of the regional wines.
All the generated data and the analysis developed in this study are included in this article.
JC and JMC designed and performed the research. MG and TA selected and inoculated the yeasts. JC, VR and JMC developed the chemical analysis and gas chromatography. JC analyzed the data. JC and MG wrote the manuscript. All authors contributed to editorial changes in the manuscript. All authors read and approved the final manuscript. All authors have participated sufficiently in the work and agreed to be accountable for all aspects of the work.
Not applicable.
JMC acknowledges the INIA for pre-doctoral fellowships FPI-INIA 2012. Authors acknowledge the IMIDRA, Finca El Socorro for providing material of Malvasia aromatica used in this work and Microbiology Laboratory from Agrifood Research Department for yeast strain used for the winemaking.
This research was funded by the Spanish National Institute for Agricultural and Food Research and Technology (INIA), grant number RTA2011-00095-C02-01 funded. JMC was recipient of a PhD grant funded by INIA. M.G. was recipient of a PhD grant funded by IMIDRA.
The authors declare no conflict of interest.
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