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Fu Y, Gao Y, Yang M, Chen J, Zhu C, Tang J, Chen L, Cai Z. Effects of Non-Saccharomyces Yeasts and Their Pairwise Combinations in Co-Fermentation with Saccharomyces cerevisiae on the Quality of Chunjian Citrus Wine. Molecules 2024; 29:1028. [PMID: 38474538 DOI: 10.3390/molecules29051028] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 02/22/2024] [Accepted: 02/25/2024] [Indexed: 03/14/2024] Open
Abstract
Non-Saccharomyces (NSc) yeasts have great potential in improving wine qualities. In this study, two NSc and two Saccharomyces cerevisiae (Sc) samples were tested on their performance of mono-inoculated and composite culture in the fermentation of Chunjian citrus wine. The cell count, Brix degree, total sugar, total acidity, alcohol level, pH value, color intensity (CI), and tonality were determined to evaluate the contribution of NSc to the quality of citrus wine in the mixed fermentation. Volatile compounds were analyzed by HS-SPME-GC-MS, and sensory evaluation was carried out. During the 9-day fermentation, the mixed-culture wine exhibited a higher cell concentration than the pure culture. After the fermentation, mixed-culture wine specifically decreased the concentrations of unfavorable volatile compounds, such as isobutanol and octanoic acid, and increased favorable volatile compounds, including ethyl octanoate, ethyl decanoate, and phenylethyl acetate. The quality category of the citrus wine was improved compared with the Sc mono-inoculated wines, mainly in regard to aroma, retention, and sweetness. The study shows that the mixed fermentation of NSc and Sc has positive impacts on reducing alcohol level and total acidity and increasing CI. The present work demonstrates that the mixed fermentation of NSc and Sc has enormous beneficial impacts on improving the quality of citrus wine.
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Affiliation(s)
- Yu Fu
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610225, China
| | - Yueyue Gao
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610225, China
| | - Ming Yang
- Sichuan Sports College Rehabilitation Research Center, Chengdu 610093, China
| | - Juan Chen
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610225, China
| | - Chenglin Zhu
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610225, China
| | - Junni Tang
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610225, China
| | - Lianhong Chen
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610225, China
| | - Zijian Cai
- College of Food Science and Technology, Southwest Minzu University, Chengdu 610225, China
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2
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Andrade Barreto SM, Martins da Silva AB, Prudêncio Dutra MDC, Costa Bastos D, de Brito Araújo Carvalho AJ, Cardoso Viana A, Narain N, Dos Santos Lima M. Effect of commercial yeasts (Saccharomyces cerevisiae) on fermentation metabolites, phenolic compounds, and bioaccessibility of Brazilian fermented oranges. Food Chem 2023; 408:135121. [PMID: 36521294 DOI: 10.1016/j.foodchem.2022.135121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 11/25/2022] [Accepted: 11/28/2022] [Indexed: 12/04/2022]
Abstract
Brazil is the largest producer of oranges worldwide, as well as one of the largest producers of orange juice. Alcoholic fermented beverages have been considered a marketable alternative for oranges. In this study, four S. cerevisiae commercial yeasts were evaluated for metabolites generated during orange juice (cv. 'Pêra D9') fermentation. Alcohols, sugars, and organic acids were evaluated by HPLC-DAD-RID during fermentation, and phenolic compounds were analyzed in fermented orange. Orange juice and fermented oranges were also subjected to digestion simulations. The yeasts presented an adequate fermentation activity, based on sugar consumption, and high ethanol (>10.5%) and glycerol (4.8-5.5 g/L) contents. The yeast strains T-58 and US-05 produced high levels of lactic acid. Phenolic compounds and antioxidant activity did not differ amongst yeasts, presenting hesperidin levels between 115 and 127 mg/L, respectively. The fermented orange showed a >70% bioaccessibility, compared to juice, especially for catechin, epigallocatechin-gallate, procyanidin-B2, rutin, and procyanidin-B1.
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Affiliation(s)
| | - Ana Beatriz Martins da Silva
- Federal Institute of Sertão Pernambucano, Department of Food Technology, Liquid Chromatography Laboratory, Jardim São Paulo - CEP 56314-522, Petrolina, PE, Brazil
| | - Maria da Conceição Prudêncio Dutra
- Federal Institute of Sertão Pernambucano, Department of Food Technology, Liquid Chromatography Laboratory, Jardim São Paulo - CEP 56314-522, Petrolina, PE, Brazil
| | - Debora Costa Bastos
- Empresa Brasileira de Pesquisa Agropecuária - Embrapa Semiárido, Rodovia BR 428, Km 152, CP 23, CEP 56302-970, Petrolina, PE, Brazil
| | - Ana Júlia de Brito Araújo Carvalho
- Federal Institute of Sertão Pernambucano, Department of Food Technology, Liquid Chromatography Laboratory, Jardim São Paulo - CEP 56314-522, Petrolina, PE, Brazil
| | - Arão Cardoso Viana
- Federal Institute of Sertão Pernambucano, Department of Food Technology, Liquid Chromatography Laboratory, Jardim São Paulo - CEP 56314-522, Petrolina, PE, Brazil
| | - Narendra Narain
- Federal University of Sergipe, Department of Food Technology, PROCTA, São Cristóvão, SE, Brazil
| | - Marcos Dos Santos Lima
- Federal University of Sergipe, Department of Food Technology, PROCTA, São Cristóvão, SE, Brazil; Federal Institute of Sertão Pernambucano, Department of Food Technology, Liquid Chromatography Laboratory, Jardim São Paulo - CEP 56314-522, Petrolina, PE, Brazil.
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Fu G, Cai W, Dong B, Wan Y, Pan F, Zheng F, Chen Y, Deng M, Huang B. Effects of bio-augmented Daqu on microbial community, aroma compounds and physicochemical parameters of fermented grains during the brewing of Chinese special-flavor baijiu. JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE 2023; 103:273-282. [PMID: 35859417 DOI: 10.1002/jsfa.12139] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2021] [Revised: 06/12/2022] [Accepted: 07/20/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Bio-augmented Daqu is used to improve the microbial community and physicochemical parameters of fermented grains, thus affecting the flavor and quality of baijiu. This study investigated the effects of bio-augmented Daqu inoculated with Aspergillus niger NCUF413.1 and Saccharomyces cerevisiae NCUF304.1 on the microbial community, aroma compounds, and physicochemical parameters of fermented grains during special-flavor baijiu brewing. RESULTS Compared with the control group (CG), the utilization of starch and production of ethanol in the inoculated group (IG) increased by 3.55% and 12.59%, respectively. The use of bio-augmented Daqu changed the bacterial communities. For example, Kroppenstedsia was the dominant bacterial genus (the relative abundance was about 22%) in the CG while Lactobacillus was the main dominant genus (the relative abundance was more than 30%) in the IG on days 20-30. Lactobacillus showed a significant positive correlation with the aroma compounds. The use of bio-augmented Daqu increased the aroma compound content - such as the ethyl heptanoate and ethyl hexanoate content. CONCLUSION The addition of bio-augmented Daqu with A. niger and S. cerevisiae could change microbial communities, resulting in an increase in the yield of ethanol and the aroma compound content of fermented grains, thus improving the quality of baijiu. © 2022 Society of Chemical Industry.
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Affiliation(s)
- Guiming Fu
- State Key Laboratory of Food Science and Technology & College of food Science and Technology, Nanchang University, Nanchang, China
| | - Wenqin Cai
- State Key Laboratory of Food Science and Technology & College of food Science and Technology, Nanchang University, Nanchang, China
| | - Biao Dong
- State Key Laboratory of Food Science and Technology & College of food Science and Technology, Nanchang University, Nanchang, China
| | - Yin Wan
- State Key Laboratory of Food Science and Technology & College of food Science and Technology, Nanchang University, Nanchang, China
| | - Fei Pan
- State Key Laboratory of Food Science and Technology & College of food Science and Technology, Nanchang University, Nanchang, China
| | - Fuping Zheng
- Beijing Laboratory of Food Quality and Safety & School of Food and Chemical Engineering, Beijing Technology & Business University, Beijing, China
- Beijing Advanced Innovation Center for Food Nutrition & Human Health, Beijing Technology & Business University, Beijing, China
| | - Yanru Chen
- State Key Laboratory of Food Science and Technology & College of food Science and Technology, Nanchang University, Nanchang, China
| | - Mengfei Deng
- State Key Laboratory of Food Science and Technology & College of food Science and Technology, Nanchang University, Nanchang, China
| | - Bingjing Huang
- Zhangshugong Wine and Spirits Co. Ltd, Jiangxi Zhangshu Gongjiu Group Company, Zhangshu, China
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Incorporating Machine Learning in Computer-Aided Molecular Design for Fragrance Molecules. Processes (Basel) 2022. [DOI: 10.3390/pr10091767] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
The demand for new novel flavour and fragrance (F&F) molecules has boosted the need for a systematic approach to designing fragrance molecules. However, the F&F-related industry still relies heavily on experimental approaches or on existing databases without considering the consequences resulting from changes in concentration, which could omit potential fragrances. Computer-aided molecular design (CAMD) has great potential to identify novel molecular structures to be used as fragrances. Using CAMD for this purpose requires models to predict the olfaction properties of molecules. A rough set-based machine learning (RSML) approach is used to develop an interpretable predictive model for odour characteristics in this work. New rule-based models are generated from RSML based on the dilution and a number of different topological indices which identify the structure-odour relationship of fragrance molecules. The most prominent rules are selected and formulated as constraints in a CAMD optimisation model. The combination of several rules was able to increase the coverage of different classes of molecules. To model the performance indicators that vary over a range of properties, a disjunctive programming model is also incorporated into the CAMD framework. A case study demonstrates the utilisation of this methodology to design fragrance additives in dishwashing liquid. The results illustrate the capability of the novel RSML and CAMD framework to identify potential fragrance molecules that can be used in consumer products.
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Zhuang H, Feng T. Isolation, identification, and application of yeast strains from the local ecosystem of Summer Black vineyard. J FOOD PROCESS PRES 2022. [DOI: 10.1111/jfpp.16341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Haining Zhuang
- School of Health and Social Care Shanghai Urban Construction Vocational College Shanghai China
| | - Tao Feng
- School of Perfume and Aroma Technology Shanghai Institute of Technology Shanghai China
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6
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Han Y, Du J, Song Z. Effects of the yeast endogenous β-glucosidase on hawthorn (Crataegus pinnatifida Bunge) wine ethyl carbamate and volatile compounds. J Food Compost Anal 2021. [DOI: 10.1016/j.jfca.2021.104084] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023]
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7
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Liu X, Xu S, Wang M, Wang L, Liu J. Effect of mixed fermentation with
Pichia fermentans
,
Hanseniaspora uvarum,
and
Wickeramomyces anomala
on the quality of fig (
Ficus carica L
.) wines. J FOOD PROCESS PRES 2020. [DOI: 10.1111/jfpp.15169] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Xing Liu
- Department of Pharmaceutical Engineering School of Chemistry and Chemical Engineering Central South University Changsha China
| | - Shijie Xu
- Department of Pharmaceutical Engineering School of Chemistry and Chemical Engineering Central South University Changsha China
| | - Mengke Wang
- Department of Pharmaceutical Engineering School of Chemistry and Chemical Engineering Central South University Changsha China
| | - Lingqi Wang
- Department of Pharmaceutical Engineering School of Chemistry and Chemical Engineering Central South University Changsha China
| | - Jiajia Liu
- Department of Pharmaceutical Engineering School of Chemistry and Chemical Engineering Central South University Changsha China
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Li Q, Chang X, Guo R, Wang Q, Guo X. Dynamic effects of fermentation on phytochemical composition and antioxidant properties of wampee ( Clausena lansium (Lour.) Skeel) leaves. Food Sci Nutr 2019; 7:76-85. [PMID: 30680161 PMCID: PMC6341146 DOI: 10.1002/fsn3.795] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2018] [Revised: 08/01/2018] [Accepted: 08/05/2018] [Indexed: 01/22/2023] Open
Abstract
Variations in the phytochemical composition and antioxidant properties were studied in the wine of wampee leaves obtained at different stages of fermentation process. The highest concentrations of total phenolic and flavonoid contents were attained at Day 12 and Day 21 of fermentation, respectively. In addition, five phytochemical compounds including vanillic acid, p-coumaric acid, rutin, ferulic acid, and 7-hydroxycoumarin were identified and quantified by HPLC in fermented wampee products. The strongest antioxidant activity in wine was monitored on Day 12. Furthermore, total antioxidant activity was significantly correlated with vanillic acid, p-coumaric acid, ferulic acid, and 7-hydroxycoumarin compared with rutin. The obtained results suggested that 12-day fermentation could be an optimal process for excavation of applying wampee leaves into food and wine industries.
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Affiliation(s)
- Quan Li
- School of Food Science and EngineeringSouth China University of TechnologyGuangzhouChina
| | - Xiaoxiao Chang
- Institute of Fruit Tree ResearchGuangdong Academy of Agricultural SciencesGuangzhouChina
| | - Ruixue Guo
- School of Food Science and EngineeringSouth China University of TechnologyGuangzhouChina
| | - Qijun Wang
- School of Food Science and EngineeringSouth China University of TechnologyGuangzhouChina
| | - Xinbo Guo
- School of Food Science and EngineeringSouth China University of TechnologyGuangzhouChina
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Alegre Y, Sáenz-Navajas MP, Ferreira V, García D, Razquin I, Hernández-Orte P. Rapid strategies for the determination of sensory and chemical differences between a wealth of similar wines. Eur Food Res Technol 2017. [DOI: 10.1007/s00217-017-2857-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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10
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Zhao CY, Xue J, Cai XD, Guo J, Li B, Wu S. Assessment of the key aroma compounds in rose-based products. J Food Drug Anal 2016; 24:471-476. [PMID: 28911551 PMCID: PMC9336667 DOI: 10.1016/j.jfda.2016.02.013] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2015] [Revised: 01/29/2016] [Accepted: 02/15/2016] [Indexed: 11/26/2022] Open
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