天津农学院学报 ›› 2026, Vol. 33 ›› Issue (1): 71-75.doi: 10.19640/j.cnki.jtau.2026.01.013

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基于近红外光谱定性定量分析鸡肉中聚氯乙烯微塑料

刘一鸣, 常金杰, 霍正婷, 刘一诺, 董桂梅, 杨仁杰通信作者   

  1. 天津农学院 工程技术学院,天津 300392
  • 收稿日期:2025-02-25 出版日期:2026-02-28 发布日期:2026-02-05
  • 通讯作者: 杨仁杰(1978—),男,教授,博士,主要从事光谱检测技术与应用方面的研究。E-mail:rjyang1978@163.com。
  • 作者简介:刘一鸣(2001—),男,本科在读,研究方向为光谱检测技术与应用。E-mail:2425652893@qq.com。
  • 基金资助:
    大学生创新创业训练计划项目(202410061127); 天津市自然科学基金重点项目(25JCZDJC00190); 国家自然科学基金项目(41771357,21607114,81471698)

Qualitative and quantitative analysis of polyvinyl chloride microplastics in chicken meat based on near-infrared spectroscopy

Liu Yiming, Chang Jinjie, Huo Zhengting, Liu Yinuo, Dong Guimei, Yang RenjieCorresponding Author   

  1. College of Engineering and Technology, Tianjin Agricultural University, Tianjin 300392, China
  • Received:2025-02-25 Online:2026-02-28 Published:2026-02-05

摘要: 利用近红外光谱技术结合化学计量学方法,建立一种对鸡肉中聚氯乙烯(PVC)微塑料的快速检测方法。分别配置未掺入和掺入PVC微塑料(质量分数:0.01%~0.80%)的鸡肉样品,采集所有样品的近红外漫反射光谱,并研究鸡肉、PVC和掺入PVC微塑料鸡肉的光谱特性。在此基础上,基于偏最小二乘法,建立定性和定量分析鸡肉中掺入PVC微塑料的数学模型。对于定性模型,校正集和预测集样品的判别正确率分别为99.1%和100%;对于定量模型,校正均方根误差(RMSEC)为0.041,预测均方根误差(RMSEP)为0.047,相对偏差(RPD)为4.935。研究结果表明基于近红外光谱技术和化学计量学快速检测鸡肉中的PVC微塑料是可行的。

关键词: 鸡肉, 微塑料, 近红外光谱, 聚氯乙烯, 偏最小二乘法

Abstract: A rapid detection method for polyvinyl chloride(PVC)microplastics(MPs)in chicken meat was proposed using near- infrared(NIR)spectroscopy combined with chemometric. Chicken meat samples with non-contaminated and PVC-contaminated(mass percentage concentration: 0.01%—0.80%)were prepared, respectively. NIR diffuse reflectance spectra of all samples were collected. The spectral characteristics of chicken meat, PVC, and PVC-contaminated chicken meat were studied. On this basis, the mathematical models for qualitative and quantitative analysis of PVC-contaminated chicken meat were established based on partial least squares method. For qualitative model, the discrimination accuracies of samples in the calibration set and prediction set were 99.1% and 100%, respectively; For quantitative model, the root mean square error of calibration(RMSEC)was 0.041,the root mean square error of prediction(RMSEP)was 0.047,and the relative prediction deviation(RPD)was 4.935. The results indicate that it is feasible to detect rapidly the PVC MPs in chicken meat based on NIR spectroscopy technology and chemometrics.

Key words: chicken meat, microplastics, near infrared spectroscopy, polyvinyl chloride, partial least squares

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