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Handheld NIR device: A non-targeted approach to assess authenticity of fish fillets and patties

机译:手持式NIR设备:一种用于评估鱼片和肉饼真伪的非针对性方法

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摘要

HighlightsEvaluation of a handheld NIR device for fish authentication.McNemar test proved no differences between the handheld and the benchtop instrument.Good distinction of fillets and patties of Atlantic cod from those of haddock.Important findings for commercial fraud fighting, also in processed fish products.AbstractThis study evaluates the reliability of a handheld NIR device in distinguishing fillets and patties of Atlantic cod (n = 80) from those of haddock (n = 90), in comparison with a FT-NIR benchtop spectrometer. The authentication issue was faced by Linear Discriminant Analysis (LDA) and Soft Independent Modelling of Class Analogy (SIMCA), pre-treating spectral data with different algorithms, and validating models both internally and externally. The best LDA models gave 100% correct classification in prediction. Sensitivity >65% and specificity >74% in prediction were calculated for the best SIMCA models. No significant differences (P > .05) were found between the two instruments by McNemar test. Thus, the work demonstrated that a handheld NIR device can be a simple, cost-effective, and reliable alternative to benchtop spectrometers in fish fillet and patty authentication. These important findings can help in improving commercial fraud fight, extending the possibility to authenticate fish species also in processed products.
机译: 突出显示 用于鱼身份验证的手持NIR设备的评估。 McNemar测试证明手持式和台式仪器之间没有差异。< / ce:para> 将大西洋鳕鱼的鱼片和肉饼与黑线鳕的鱼片和肉饼区分开来。 有关打击商业欺诈的重要发现,也正在处理中鱼产品。 摘要 这项研究评估了手持式NIR设备在区分大西洋鳕鱼(n = 80)和黑线鳕(n = 90)的鱼片和肉饼时的可靠性,与FT-NIR台式光谱仪相比。线性判别分析(LDA)和类别模拟的软独立建模(SIMCA),使用不同算法对光谱数据进行预处理以及内部和外部验证模型都面临认证问题。最好的LDA模型在预测中给出了100%正确的分类。对于最佳SIMCA模型,计算出预测中的敏感性> 65%和特异性> 74%。 McNemar检验在两种仪器之间未发现显着差异( P

著录项

  • 来源
    《Food Chemistry》 |2018年第15期|382-388|共7页
  • 作者单位

    Department of Food, Environmental and Nutritional Sciences (DeFENS), Università degli Studi di Milano;

    Department of Food, Environmental and Nutritional Sciences (DeFENS), Università degli Studi di Milano;

    Department of Food, Environmental and Nutritional Sciences (DeFENS), Università degli Studi di Milano;

  • 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

    Atlantic cod; Fish authentication; Haddock; Near infrared spectroscopy; Portable device;

    机译:大西洋鳕鱼;鱼类鉴定;黑线鳕;近红外光谱;便携式设备;

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