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ORIGINAL ARTICLE
Impact of Grape Variety, Yeast and Malolactic Fermentation on Volatile Compounds and Fourier Transform Infrared Spectra in Red Wines
| 1 | Department of Biotechnology, Microbiology and Human Nutrition, Faculty of Food Science and Biotechnology, University of Life Sciences in Lublin, Skromna 8, 20-704 Lublin, Poland |
| 2 | Faculty of Mathematics and Computer Science, University of Warmia and Mazury in Olsztyn, Słoneczna 54, 10-710 Olsztyn |
| 3 | Department of Biophysics, University of Life Sciences in Lublin, Akademicka 13, 20-950 Lublin |
CORRESPONDING AUTHOR
Anna Stój
Department of Biotechnology, Microbiology and Human Nutrition, University of Life Sciences in Lublin, Skromna 8, 20-704, Lublin, Poland
Department of Biotechnology, Microbiology and Human Nutrition, University of Life Sciences in Lublin, Skromna 8, 20-704, Lublin, Poland
Submission date: 2021-04-11
Final revision date: 2021-12-29
Acceptance date: 2022-01-10
Online publication date: 2022-01-27
Publication date: 2022-01-27
Pol. J. Food Nutr. Sci. 2022;72(1):39–55
KEYWORDS
fermentationSaccharomyces cerevisiaeSaccharomyces bayanusOenococcus oeniaroma compoundsFourier-transform infrared spectroscopy
TOPICS
Gas chromatographyBiotechnology/MicrobiologyEffects on food qualityFermentationBeveragesFlavours/Aromas
ABSTRACT
Volatile compounds are very important to the flavour and quality of the wine. The study aimed to determine the effect of grape variety (Rondo and Zweigelt), yeast, malolactic fermentation (MLF) and yeast×MLF interaction on the content of volatile compounds in red wines. The wines were produced by sequential inoculation with five commercial yeast strains and a commercial lactic acid bacteria (LAB) strain (induced malolactic fermentation) as well as by inoculation with five commercial yeast strains and without LAB inoculation (spontaneous malolactic fermentation). The volatile compounds were determined by headspace solid-phase microextraction/gas chromatography-mass spectrometry (HS-SPME-GC/MS). Forty-six volatile compounds belonging to alcohols, esters, acids, aldehydes, ketones, furan compounds, sulfur compounds and volatile phenols were identified in the wines. The grape variety was the factor with a significant impact on the highest number of volatile compounds, 32 out of 46. Furthermore, 7 compounds were affected by yeast, 10 by MLF and only 3 by yeast×MLF interaction. Characteristic bands in Fourier transform infrared (FTIR) spectra were assigned to the vibrations of functional groups of volatile compounds. The whole FTIR spectra were analysed in detail; three characteristic spectral ranges such as 3650-2700, 1750-1500, and below 1500 cm-1 were shown for different classes of volatile compounds. The most remarkable spectral changes were observed for the last two areas.
REFERENCES (49)
1.
Azzolini, M., Fedrizzi, B., Tosi, E., Finato, F., Vagnoli, P., Scrinzi, C., Zapparoli, G. (2012). Effects of Torulaspora delbrueckii and Saccharomyces cerevisiae mixed cultures on fermentation and aroma of Amarone wine. European Food Research and Technology, 235, 303–313. https://doi.org/10.1007/s00217....
2.
Abdi, H., Williams, L.J. (2010). Principal component analysis. Wiley Interdisciplinary Reviews: Computational Statistics, 2(4), 433–459. https://doi.org/10.1002/wics.1....
3.
Abrahamse, C.E., Bartowsky, E.J. (2012). Timing of malolactic fermen¬tation inoculation in Shiraz grape must and wine: influence on chemical composition. World Journal of Microbiology and Biotechnology, 28(1), 255–265. https://doi.org/10.1007/s11274....
4.
Antalick, G., Perello, M.C., de Revel, G. (2013). Co-inoculation with yeast and LAB under winery conditions: modification of the aromatic profile of Merlot wines. South African Journal of Enology and Viticulture, 34(2), 223–232. https://doi.org/10.21548/34-2-....
5.
Basalekou, M., Kallithraka, S., Tarantilis, P.A., Kotseridis, Y., Pappas, C. (2019). Ellagitannins in wines: Future prospects in methods of analysis using FT-IR spectroscopy. LWT – Food Science and Technology, 101, 48-53. https://doi.org/10.1016/j.lwt.....
6.
Basalekou, M., Pappas, C., Tarantilis, P.A., Kallithraka, S. (2020). Wine authenticity and traceability with the use of FT-IR. Beverages, 6(2), art. no. 30. https://doi.org/10.3390/bevera....
7.
Blanco, P., Mirás-Avalos, J.M., Pereira, E., Fornos, D., Orriols, I. (2014). Modulation of chemical and sensory characteristics of red wine from Mencía by using indigenous Saccharomyces cerevisiae yeast strains. Journal International des Sciences de la Vigne et du Vin, 48(1), 63–74. https://doi.org/10.20870/oeno-....
8.
Brizuela, N.S., Bravo-Ferrada, B.M., Pozo-Bayón, M.Á., Semorile, L., Tymczyszyn, E.E. (2018). Changes in the volatile profile of Pinot noir wines caused by Patagonian Lactobacillus plantarum and Oenococcus oeni strains. Food Research International, 106, 22-28. https://doi.org/10.1016/j.food....
9.
Brereton, R.G. (2003). Pattern recognition. Chapter 4. In R.G. Brereton (Ed.) Chemometrics: Data Analysis for the Laboratory and Chemical Plant. John Wiley & Sons, Chichester, pp. 183-269. https://doi.org/10.1002/047086....
10.
Callejon, R.M., Clavijo, A., Ortigueira, P., Troncoso, A.M., Paneque, P., Morales, M.L. (2010). Volatile and sensory profile of orga¬nic red wines produced by different selected autochthonous and commercial Saccharomyces cerevisiae strains. Analytica Chimica Acta, 660(1-2), 68–75. https://doi.org/10.1016/j.aca.....
11.
Cañas, P.M.I., Pérez-Martín, F., Romero, E.G., Prieto, S.S., Herreros, M.D.L.L.P. (2012). Influence of inoculation time of an autochthonous selected malolactic bacterium on volatile and sensory profile of Tempranillo and Merlot wines. International Journal of Food Microbiology, 156(3), 245-254. https://doi.org/10.1016/j.ijfo....
12.
Cioch-Skoneczny, M., Grabowski, M., Satora, P., Skoneczny, S., Klimczak, K. (2021). The use of yeast mixed cultures for deacidification and improvement of the composition of cold climate grape wines. Molecules, 26(9), art. no. 2628. https://doi.org/10.3390/molecu....
13.
Costello, P.J., Francis, I.L., Bartowsky, E.J. (2012). Variations in the effect of malolactic fermentation on the chemical and sensory properties of Cabernet Sauvignon wine: Interactive influences of Oenococcus oeni strain and wine matrix composition. Australian Journal of Grape and Wine Research, 18(3), 287–301. https://doi.org/10.1111/j.1755....
14.
Diez-Ozaeta, I., Lavilla, M., Amárita, F. (2021). Wine aroma profile modification by Oenococcus oeni strains from Rioja Alavesa region: selection of potential malolactic starters. International Journal of Food Microbiology, 356, art. no. 109324. https://doi.org/10.1016/j.ijfo....
15.
Duarte, W.F., Dias, D.R., Oliveira, J.M., Teixeira, J.A., De Almeida e Silva, J.B., Schwan, R.F. (2010). Characterization of different fruit wines made from cacao, cupuassu, gabiroba, jaboticaba and umbu. LWT – Food Science and Technology, 43(10), 1564-1572. https://doi.org/10.1016/j.lwt.....
16.
Englezos, V., Rantsiou, K., Cravero, F., Torchio, F., Giacosa, S., Ortiz-Julien, A., Gerbi, V., Rolle, L. Cocolin, L. (2018). Volatile profiles and chromatic characteristics of red wines produced with Starmerella bacillaris and Saccharomyces cerevisiae. Food Research International, 109, 298-309. https://doi.org/10.1016/j.food....
17.
Ferreiro-González, M., Ruiz-Rodríguez, A., Barbero, G.F., Ayuso, J., Álvarez, J.A., Palma, M., Barroso, C.G. (2019). FT-IR, Vis spectroscopy, color and multivariate analysis for the control of ageing processes in distinctive Spanish wines. Food Chemistry, 277, 6-11. https://doi.org/10.1016/j.food....
18.
Gammacurta, M., Marchand, S., Albertin, W., Moine, V., de Revel, G. (2014). Impact of yeast strain on ester levels and fruity aroma persistence during aging of Bordeaux red wines. Journal of Agricultural and Food Chemistry, 62(23), 5378–5389. https://doi.org/10.1021/jf5007....
19.
Gammacurta, M., Marchand, S., Moine, V., de Revel, G. (2017). Influence of different yeast/lactic acid bacteria combinations on the aromatic profile of red Bordeaux wine. Journal of the Science of Food and Agriculture, 97(12), 4046-4057. https://doi.org/10.1002/jsfa.8....
20.
Geană, E.I., Ciucure, C.T., Apetrei, C., Artem, V. (2019). Application of spectroscopic UV-Vis and FT-IR screening techniques coupled with multivariate statistical analysis for red wine authentication: Varietal and vintage year discrimination. Molecules, 24(22), art. no. 4166. https://doi.org/10.3390/molecu....
21.
Hu, X.Z., Liu, S.Q., Li, X.H., Wang, C.X., Ni, X.L., Liu, X., Wang, Y, Liu, Y., Xu, C.H. (2019). Geographical origin traceability of Cabernet Sauvignon wines based on infrared fingerprint technology combined with chemometrics. Scientific Reports, 9, art. no. 8256. https://doi.org/10.1038/s41598....
22.
Jørgensen, U., Hansen, M., Christensen, L.P., Jensen, K., Kaack, K. (2000). Olfactory and quantitative analysis of aroma compounds in elder flower (Sambucus nigra L.) drink processed from five cultivars. Journal of Agricultural and Food Chemistry, 48(6), 2376-2383. https://doi.org/10.1021/jf0000....
23.
Lasik-Kurdyś, M., Majcher, M., Nowak, J. (2018). Effects of different techniques of malolactic fermentation induction on diacetyl metabolism and biosynthesis of selected aromatic esters in cool-climate grape wines. Molecules, 23(10), art. no. 2549. https://doi.org/10.3390/molecu....
24.
Lasik-Kurdyś, M., Gumienna, M., Nowak, J. (2017). Influence of malolactic bacteria inoculation scenarios on the efficiency of the vinification process and the quality of grape wine from the Central European region. European Food Research and Technology, 243, 2163–2173. https://doi.org/10.1007/s00217....
25.
Liu, J., Arneborg, N., Toldam‐Andersen, T.B., Petersen, M.A., Bredie, W.L. (2017). Effect of sequential fermentations and grape cultivars on volatile compounds and sensory profiles of Danish wines. Journal of the Science of Food and Agriculture, 97(11), 3594–3602. https://doi.org/10.1002/jsfa.8....
26.
López, R., López‐Alfaro, I., Gutiérrez, A.R., Tenorio, C., Garijo, P., González‐Arenzana, L., Santamaría, P. (2011). Malolactic fermentation of Tempranillo wine: contribution of the lactic acid bacteria inoculation to sensory quality and chemical composition. International Journal of Food Science & Technology, 46(11), 2373–2381. https://doi.org/10.1111/j.1365....
27.
Malherbe, S., Tredoux, A.G., Nieuwoudt, H.H., du Toit, M. (2012). Comparative metabolic profiling to investigate the contribution of O. oeni MLF starter cultures to red wine composition. Journal of Industrial Microbiology & Biotechnology, 39(3), 477–494. https://doi.org/10.1007/s10295....
28.
Mallouchos, A., Loukatos, P., Bekatorou, A., Koutinas, A., Komaitis, M. (2007). Ambient and low temperature winemaking by immobilized cells on brewer’s spent grains: Effect on volatile composition. Food Chemistry, 104(3), 918-927. https://doi.org/10.1016/j.food....
29.
Martelo-Vidal, M.J., Domínguez-Agis, F., Vázquez, M. (2013). Ultraviolet/visible/near-infrared spectral analysis and chemometric tools for the discrimination of wines between subzones inside a controlled designation of origin: A case study of Rías Baixas. Australian Journal of Grape and Wine Research, 19(1), 62–67. https://doi.org/10.1111/ajgw.1....
30.
Mendes, B., Gonçalves, J., Câmara, J.S. (2012). Effectiveness of high-throughput miniaturized sorbent- and solid phase microextraction techniques combined with gas chromatography-mass spectrometry analysis for a rapid screening of volatile and semi-volatile composition of wines – a comparative study. Talanta, 88, 79-94. https://doi.org/10.1016/j.tala....
31.
Ruocco, S., Perenzoni, D., Angeli, A., Stefanini, M., Rühl, E., Patz, C.D., Mattivi, F., Rauhut, D., Vrhovsek, U. (2019). Metabolite profiling of wines made from disease-tolerant varieties. European Food Research and Technology, 245(9), 2039–2052. https://doi.org/10.1007/s00217....
32.
Shimoda, M., Shigematsu, H., Shiratsuchi, H., Osajima, Y. (1995). Comparison of the odor concentrates by SDE and adsorptive column method from green tea infusion. Journal of Agricultural and Food Chemistry, 43(6), 1616-1620. https://doi.org/10.1021/jf0005....
33.
Song, S., Tanga, Q., Hayat, K., Karangwa, E., Zhang, X., Xiao, Z. (2014). Effect of enzymatic hydrolysis with subsequent mild thermal oxidation of tallow on precursor formation and sensory profiles of beef flavours assessed by partial least squares regression. Meat Science, 96(3), 1191-1200. https://doi.org/10.1016/j.meat....
34.
Stój, A., Czernecki, T., Domagała, D., Targoński, Z. (2017a). Comparative characterization of volatile profiles of French, Italian, Spanish, and Polish red wines using headspace solid-phase microextraction/gas chromatography-mass spectrometry. International Journal of Food Properties, 20(sup1), S830–S845. https://doi.org/10.1080/109429....
35.
Stój, A., Czernecki, T., Domagala, D., Targoński, Z. (2017b). Application of volatile compound analysis for distinguishing between red wines from Poland and from other European countries. South African Journal of Enology and Viticulture, 38(2), 245-263. https://doi.org/10.21548/38-2-....
36.
Stój, A. (2020a). Influence of yeast and lactic acid bacteria on the content of volatile compounds and other oenological parameters of wines. Postępy Mikrobiologii - Advancements of Microbiology, 59(2), 167-178 (in Polish; English abstract). https://doi.org/10.21307/PM-20....
37.
Stój, A., Kapusta, I., Domagała, D. (2020b). Classification of red wines produced from Zweigelt and Rondo grape varieties based on the analysis of phenolic compounds by UPLC-PDA-MS/MS. Molecules, 25(6), art. no. 1342. https://doi.org/10.3390/molecu....
38.
Sumby, K.M., Jiranek, V., Grbin, P.R. (2013). Ester synthesis and hydrolysis in an aqueous environment, and strain specific changes during malolactic fermentation in wine with Oenococcus oeni. Food Chemistry, 141(3), 1673-1680. https://doi.org/10.1016/j.food....
39.
Styger, G., Prior, B., Bauer, F.F. (2011). Wine flavor and aroma. Journal of Industrial Microbiology & Biotechnology, 38(9), 1145–1159. https://doi.org/10.1007/s10295....
40.
Tarantilis, P.A., Troianou, V.E., Pappas, C.S., Kotseridis, Y.S., Polissiou, M.G. (2008). Differentiation of Greek red wines on the basis of grape variety using attenuated total reflectance Fourier transform infrared spectroscopy. Food Chemistry, 111(1), 192–196. https://doi.org/10.1016/j.food....
41.
Tempère, S., Marchal, A., Barbe, J.C., Bely, M., Masneuf-Pomarede, I., Marullo, P., Albertin, W. (2018). The complexity of wine: clarifying the role of microorganisms. Applied Microbiology and Biotechnology, 102(9), 3995–4007. https://doi.org/10.1007/s00253....
42.
Tristezza, M., di Feo, L., Tufariello, M., Grieco, F., Capozzi, V., Spano, G., Mita, G. (2016). Simultaneous inoculation of yeasts and lactic acid bacteria: Effects on fermentation dynamics and chemical composition of Negroamaro wine. LWT – Food Science and Technology, 66, 406-412. https://doi.org/10.1016/j.lwt.....
43.
Tufariello, M., Chiriatti, M.A., Grieco, F., Perrotta, C., Capone, S., Rampino, P., Tristezza, M., Mita, G., Grieco, F. (2014). Influence of autochthonous Saccharomyces cerevisiae strains on volatile profile of Negroamaro wines. LWT – Food Science and Technology, 58(1), 35–48. https://doi.org/10.1016/j.lwt.....
44.
Versari, A., Laurie, V.F., Ricci, A., Laghi, L., Parpinello, G.P. (2014). Progress in authentication, typification and traceability of grapes and wines by chemometric approaches. Food Research International, 60, 2-18. https://doi.org/10.1016/j.food....
45.
Vilanova, M., Cortés, S., Santiago, J.L., Martínez, C., Fernández, E. (2007). Aromatic compounds in wines produced during fermentation: effect of three red cultivars. International Journal of Food Properties, 10(4), 867-875. https://doi.org/10.1080/109429....
46.
Welke, J.E., Manfroi, V., Zanus, M., Lazzarotto, M., Zini, C.A. (2012). Characterization of the volatile profile of Brazilian Merlot wines through comprehensive two dimensional gas chromatography time-of-flight mass spectrometric detection. Journal of Chromatography A, 1226, 124-139. https://doi.org/10.1016/j.chro....
47.
Wojdyło, A., Samoticha, J., Nowicka, P., Chmielewska, J. (2018). Characterisation of (poly)phenolic constituents of two interspecific red hybrids of Rondo and Regent (Vitis vinifera) by LC-PDA-ESI-MS QTof. Food Chemistry, 239, 94–101. https://doi.org/10.1016/j.food....
48.
Xu, C.J., Liang, Y.Z., Chau, F.T., Vander Heyden, Y. (2006). Pretreatments of chromatographic fingerprints for quality control of herbal medicines. Journal of Chromatography A, 1134(1-2), 253–259. https://doi.org/10.1016/j.chro....
49.
Zhu, F., Du, B., Li, J. (2016). Aroma compounds in wine. In A. Morata, I. Loira (Eds.), Grape and Wine Biotechnology, Books on Demand GmbH, Norderstedt, Germany, pp. 273-283. https://doi.org/10.5772/65102.
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