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Discrimination of aged rice using colorimetric sensor array combined with volatile organic compounds

机译:使用比色传感器阵列与挥发性有机化合物相结合的老化水稻

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摘要

This article studied the distribution of volatile organic compounds (VOCs) expose to colorimetric sensors array on stored rice. COMSOL Multiphysics software was utilized to simulate the flow field in reaction chambers, where arc baffle with different curvature in different position were employed for optimization. It was observed that the velocity field was the most uniform when the curvature of baffle was 3.3 and the vertical distance from the front end of the baffle to the inlet was 1.5 cm. The research results revealed that color changes of the sensors exposed to the same VOCs in the designed chamber were more uniform than that of free volatilization chamber. Fresh and aged rice samples were 100% correctly identified by principal components analysis when the designed chamber was used, while the recognition percentage was 90% using the free volatilization chamber. Practical applications This work presents a nondestructive method for the discrimination of aged rice. The data and figures presented clearly suggest the optimized chamber can extremely improve the reaction between volatile organic compounds and colorimetric sensor array. When the optimized reaction chamber was performed to detect the fresh and aged rice, all of the samples were discriminated successfully. This research results supports a potential way for fast, nondestructive detection of freshness in rice industry.
机译:本文研究了挥发性有机化合物(VOC)暴露于储存水稻上的比色传感器阵列的分布。 COMSOL多体体软件用于模拟反应室中的流场,其中采用不同位置具有不同曲率的电弧挡板进行优化。观察到,当挡板的曲率为3.3时,速度场是最均匀的,并且从挡板前端到入口的垂直距离为1.5cm。研究结果表明,暴露于设计室中相同VOC的传感器的颜色变化比自由挥发室更均匀。通过主要成分分析使用新鲜和老化的水稻样品100%,当使用设计的腔室时,使用自由挥发室的识别百分比为90%。实用应用这项工作提出了一种非破坏性的歧视米米的方法。提出的数据和图清楚地表明优化室可以极大地改善挥发性有机化合物和比色传感器阵列之间的反应。当进行优化的反应室以检测新鲜和老化的水稻时,成功地歧视所有样品。该研究结果支持快速,无损检测水稻工业新鲜度的潜在方法。

著录项

  • 来源
    《Journal of food process engineering》 |2019年第4期|e13037.1-e13037.9|共9页
  • 作者单位

    Jiangsu Univ Sch Food & Biol Engn Zhenjiang 212013 Jiangsu Peoples R China;

    Jiangsu Univ Sch Food & Biol Engn Zhenjiang 212013 Jiangsu Peoples R China;

    Jiangsu Univ Sch Food & Biol Engn Zhenjiang 212013 Jiangsu Peoples R China;

    Jiangsu Univ Sch Food & Biol Engn Zhenjiang 212013 Jiangsu Peoples R China;

    Jiangsu Univ Sch Food & Biol Engn Zhenjiang 212013 Jiangsu Peoples R China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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