Wenhua Tong , Yan Wang , Yiyun Li , Ying Yang , Dan Huang , Huibo Luo , Suyi Zhang , Zhijiu Huang
{"title":"通过调控模型驱动的工业发酵过程关键参数优化提升小曲清香行白酒品质","authors":"Wenhua Tong , Yan Wang , Yiyun Li , Ying Yang , Dan Huang , Huibo Luo , Suyi Zhang , Zhijiu Huang","doi":"10.1016/j.lwt.2024.116982","DOIUrl":null,"url":null,"abstract":"<div><div>After the transition of <em>Xiaoqu Qingxiangxing Baijiu</em> brewing from traditional to automated production, the process faced challenges such as low levels of key flavor substances and high levels of higher alcohols in <em>Baijiu</em>. In this study, the environmental factors and <em>Jiupei</em> microorganisms in traditional workshops (TW) and automated workshops (AW) while also optimizing the dosage of saccharification fermentation agents. The results demonstrated that <em>Lactobacillus</em> and <em>Staphylococcus</em> were the dominant microbial communities in the environment of both workshops, with the AW environment exhibiting higher microbial abundance than that of the TW. In the <em>Jiupei, Lactobacillus</em> and <em>Weissella</em> were the dominant microorganisms. However, microbial richness was higher in the TW than in the AW. This study also introduced a regulation model: when 6.1‰ ester-producing yeast, 8.3% <em>Daqu</em>, and 5.8‰ <em>Xiaoqu</em> were added, the total acid content reached 0.58 g/L, total ester content was 1.09 g/L, and higher alcohols levels were decreased to 1.85 g/L. These adjustments successfully achieved the goal of \"reducing impurities and improving quality,\" leading to an improvement in the overall quality of <em>Baijiu</em>.</div></div>","PeriodicalId":382,"journal":{"name":"LWT - Food Science and Technology","volume":"212 ","pages":"Article 116982"},"PeriodicalIF":6.0000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improving the quality of Xiaoqu Qingxiangxing Baijiu through optimization of key parameters in industrial fermentation processes driven by regulation models\",\"authors\":\"Wenhua Tong , Yan Wang , Yiyun Li , Ying Yang , Dan Huang , Huibo Luo , Suyi Zhang , Zhijiu Huang\",\"doi\":\"10.1016/j.lwt.2024.116982\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>After the transition of <em>Xiaoqu Qingxiangxing Baijiu</em> brewing from traditional to automated production, the process faced challenges such as low levels of key flavor substances and high levels of higher alcohols in <em>Baijiu</em>. In this study, the environmental factors and <em>Jiupei</em> microorganisms in traditional workshops (TW) and automated workshops (AW) while also optimizing the dosage of saccharification fermentation agents. The results demonstrated that <em>Lactobacillus</em> and <em>Staphylococcus</em> were the dominant microbial communities in the environment of both workshops, with the AW environment exhibiting higher microbial abundance than that of the TW. In the <em>Jiupei, Lactobacillus</em> and <em>Weissella</em> were the dominant microorganisms. However, microbial richness was higher in the TW than in the AW. This study also introduced a regulation model: when 6.1‰ ester-producing yeast, 8.3% <em>Daqu</em>, and 5.8‰ <em>Xiaoqu</em> were added, the total acid content reached 0.58 g/L, total ester content was 1.09 g/L, and higher alcohols levels were decreased to 1.85 g/L. These adjustments successfully achieved the goal of \\\"reducing impurities and improving quality,\\\" leading to an improvement in the overall quality of <em>Baijiu</em>.</div></div>\",\"PeriodicalId\":382,\"journal\":{\"name\":\"LWT - Food Science and Technology\",\"volume\":\"212 \",\"pages\":\"Article 116982\"},\"PeriodicalIF\":6.0000,\"publicationDate\":\"2024-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"LWT - Food Science and Technology\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0023643824012659\",\"RegionNum\":1,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FOOD SCIENCE & TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"LWT - Food Science and Technology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0023643824012659","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FOOD SCIENCE & TECHNOLOGY","Score":null,"Total":0}
Improving the quality of Xiaoqu Qingxiangxing Baijiu through optimization of key parameters in industrial fermentation processes driven by regulation models
After the transition of Xiaoqu Qingxiangxing Baijiu brewing from traditional to automated production, the process faced challenges such as low levels of key flavor substances and high levels of higher alcohols in Baijiu. In this study, the environmental factors and Jiupei microorganisms in traditional workshops (TW) and automated workshops (AW) while also optimizing the dosage of saccharification fermentation agents. The results demonstrated that Lactobacillus and Staphylococcus were the dominant microbial communities in the environment of both workshops, with the AW environment exhibiting higher microbial abundance than that of the TW. In the Jiupei, Lactobacillus and Weissella were the dominant microorganisms. However, microbial richness was higher in the TW than in the AW. This study also introduced a regulation model: when 6.1‰ ester-producing yeast, 8.3% Daqu, and 5.8‰ Xiaoqu were added, the total acid content reached 0.58 g/L, total ester content was 1.09 g/L, and higher alcohols levels were decreased to 1.85 g/L. These adjustments successfully achieved the goal of "reducing impurities and improving quality," leading to an improvement in the overall quality of Baijiu.
期刊介绍:
LWT - Food Science and Technology is an international journal that publishes innovative papers in the fields of food chemistry, biochemistry, microbiology, technology and nutrition. The work described should be innovative either in the approach or in the methods used. The significance of the results either for the science community or for the food industry must also be specified. Contributions written in English are welcomed in the form of review articles, short reviews, research papers, and research notes. Papers featuring animal trials and cell cultures are outside the scope of the journal and will not be considered for publication.