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Analysis of fish spoilage by gas chromatography-mass spectrometry and electronic olfaction bionic system

机译:气相色谱 - 质谱和电子嗅仿生系统鱼类腐败分析

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摘要

Practical applications Freshness is an important index of fish quality. The present study deployed an electronic olfaction bionic system based on colorimetric sensor array (CSA) to evaluate the freshness of Larimichthys crocea. Total volatile basic nitrogen (TVB-N) content and total viable counting (TVC) of samples were also determined by traditional methods. Gas chromatography-mass spectrometry (GC-MS) was applied for the analysis of volatile organic compounds (VOCs). A support vector regression (SVR) model was built to establish the relationship between the signals of CSA and the values of TVB-N and TVC of samples. The results obtained demonstrated that the CSA showed potential to evaluate the fish freshness of unknown fish samples qualitatively by predicting TVB-N and TVC. Furthermore, the CSA could be used as nondestructive technique to evaluate fish freshness. Fish is very popular all over the world because of its nutrition and delicious taste. Therefore, it is an important food and occupies a very important position in the daily dietary structure of residents. However, fish is highly perishable after harvesting and postmortem as a consequence of biochemical and microbial breakdown mechanisms. The TVB-N and TVC are important indexes of fish freshness evaluation. In this study, a novel CSA is proposed for quantification of TVB-N and TVC during fish spoilage. This method simplified detection steps and shorten the detection time. The results indicated that the method based on CSA provided a feasible way for simple, rapid detection of TVB-N and TVC in aquatic products. The method can be applied for rapid detection of aquatic products by both government testing departments and food companies.
机译:实际应用新鲜度是鱼质量的重要指标。本研究部署了基于比色传感器阵列(CSA)的电子嗅致病性系统,以评估Larimichthys Crocea的新鲜度。还通过传统方法确定样品的总挥发性碱性氮(TVB-N)含量和总可行的计数(TVC)。施用气相色谱 - 质谱(GC-MS)用于分析挥发性有机化合物(VOC)。构建了支持向量回归(SVR)模型以建立CSA信号与样品的TVB-N和TVC的值之间的关系。获得的结果证明,CSA通过预测TVB-N和TVC来评估未知鱼类样品的鱼类新鲜度。此外,CSA可用作非破坏性技术来评估鱼类新鲜度。由于其营养和美味的味道,鱼类非常受欢迎。因此,它是一个重要的食物,在居民的日粮结构中占据非常重要的地位。然而,由于生物化学和微生物击穿机制,在收获和后期后,鱼类在收获和后期的情况下高度易溶。 TVB-N和TVC是鱼新鲜评估的重要索引。在本研究中,提出了一种新型CSA,用于在鱼类腐败期间定量TVB-N和TVC。该方法简化了检测步骤并缩短了检测时间。结果表明,基于CSA的方法为简单,快速地检测水产品中的TVB-N和TVC提供了可行的方式。该方法可用于通过政府检测部门和食品公司快速检测水产品。

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  • 来源
    《Journal of Food Safety》 |2018年第6期|共9页
  • 作者单位

    Jiangsu Univ Sch Food &

    Biol Engn Xuefu Rd 301 Zhenjiang 212013 Jiangsu Peoples R China;

    Jiangsu Univ Sch Food &

    Biol Engn Xuefu Rd 301 Zhenjiang 212013 Jiangsu Peoples R China;

    Jiangsu Univ Sch Food &

    Biol Engn Xuefu Rd 301 Zhenjiang 212013 Jiangsu Peoples R China;

    Jiangsu Univ Sch Food &

    Biol Engn Xuefu Rd 301 Zhenjiang 212013 Jiangsu Peoples R China;

    Jiangsu Univ Sch Food &

    Biol Engn Xuefu Rd 301 Zhenjiang 212013 Jiangsu Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 食品安全与卫生;
  • 关键词

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