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Furfural and organic acid targeted carbon dot sensor array for the accurate identification of Chinese baijiu

机译:糠醛和有机酸靶向碳点传感器阵列,用于准确识别中文Baijiu

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摘要

Baijiu quality control has always been a major challenge for researchers. In this paper, taking furfural which is closely related to baijiu brewing process and organic acids related to baijiu fermentation process and microorganism types as the main discriminating factors, a carbon dot (CDs) sensor array targeting furfural and organic acids was constructed to identify 41 kinds of baijiu. Through the fluorescence response investigation of CDs synthesized by isomers of benzenediol, aminophenol, and phenylenediamine to different baijiu, two CDs synthesized by meta-benzene substitutions containing -NH_2 were selected to build a fluorescence sensor array. Due to the aggregation-induced enhancement effect between furfural and the CDs, and the protonation of organic acid and the CDs, different fluorescence changes were observed, the sensor array combined with partial least squares regression could quantitatively analyze furfural and organic acids. What is more, semi-quantitative analysis of furfural and lactic acid in baijiu was performed. Owing to the interaction of the two CDs with furfural and organic acids in baijiu, the sensor array could accurately identify different baijiu through linear discriminant analysis. This sensor array has potential applications in the quantitative analysis of flavor substances in other alcoholic beverages, moreover, this method could provide a quick response and practical tool for real-time quality control monitoring in the baijiu industry.
机译:Baijiu质量控制一直是研究人员的主要挑战。本文采用与白九发酵工艺和微生物类型密切相关的糠醛,与白九发酵工艺和微生物类型相关,作为主要辨别因子,靶向糠醛和有机酸的碳点(CDS)传感器阵列以鉴定41种Baijiu。通过苯二醇,氨基苯酚和苯二胺的异构体合成的CD的荧光反应研究与不同的Baijiu,选择含有-NH_2的Meta-苯取代合成的两个CD以构建荧光传感器阵列。由于糠醛和Cds之间的聚集诱导的增强效果,以及有机酸的质子化和Cds,观察到不同的荧光变化,传感器阵列与部分最小二乘回归组合可以定量分析糠醛和有机酸。更重要的是,进行白九的糠醛和乳酸的半定量分析。由于两种Cds在Baijiu中的糠醛和有机酸的相互作用,传感器阵列可以通过线性判别分析准确地识别不同的白九。该传感器阵列具有潜在的应用,在其他酒精饮料中的风味物质进行定量分析中,这种方法可以提供快速响应和实用工具,用于白九工业中的实时质量控制监测。

著录项

  • 来源
    《Journal of Food Science》 |2021年第9期|2924-2938|共15页
  • 作者单位

    State Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology College of Chemical Engineering Zhejiang University of Technology Hangzhou PR China;

    State Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology College of Chemical Engineering Zhejiang University of Technology Hangzhou PR China;

    State Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology College of Chemical Engineering Zhejiang University of Technology Hangzhou PR China;

    The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province School of Pharmaceutical Sciences South-Central University for Nationalities Wuhan PR China;

    National Engineering Research Center of Solid-State Brewing Luzhou Laojiao Co. Ltd. Luzhou PR China;

    National Engineering Research Center of Solid-State Brewing Luzhou Laojiao Co. Ltd. Luzhou PR China;

    State Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology College of Chemical Engineering Zhejiang University of Technology Hangzhou PR China;

    International Environmental Protection City Technology Limited Company (IEPCT) Yixing PR China;

    The Modernization Engineering Technology Research Center of Ethnic Minority Medicine of Hubei Province School of Pharmaceutical Sciences South-Central University for Nationalities Wuhan PR China;

    State Key Laboratory Breeding Base of Green Chemistry-Synthesis Technology College of Chemical Engineering Zhejiang University of Technology Hangzhou PR China;

  • 收录信息 美国《科学引文索引》(SCI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    baijiu; carbon dots; flavor substances; linear discriminant analysis; partial least squares regression;

    机译:白津;碳点;味道物质;线性判别分析;部分最小二乘回归;

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