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Detecting melamine-adulterated raw milk by using near-infrared transmission spectroscopy

机译:通过使用近红外透射光谱检测三聚氰胺掺杂的原汁

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摘要

Chinese national standards regulate that the melamine in infant food should not exceed 1 mg/kg. To quickly and accurately identify whether the melamine in raw milk exceeds the limit, near-infrared transmission (NIRT) spectra of 220 raw milk samples and 380 melamine-adulterated raw milk samples were collected over the spectral range of 900-1,700 nm. Different spectral preprocessing and dimension reduction methods were used to preprocess the data of full spectra with 425 wavelengths. The qualitative prediction models of partial least squares discriminate analysis (PLS-DA) and support vector machine (SVM) were built based on full spectra and reduced data. The results showed that the SVM was better than PLS-DA in identifying the melamine-adulterated raw milk whose melamine contents exceeded the limit of 1 mg/kg. The established SVM model using full spectra had the optimal prediction performance with the accuracy rate of 92.67%, sensitivity of 89.09%, and specificity of 94.74%. The study indicates that the raw milk whose melamine contents exceed the limit of 1 mg/kg could be identified by using NIRT spectroscopy.Practical Applications This study demonstrated that the raw milk whose melamine contents exceed the limit of 1 mg/kg could be identified by using near-infrared transmission spectroscopy. The results provide technical support and effective information for developing portable instrument to detect melamine-adulterated raw milk in situ or in field.
机译:中国国家标准规范婴儿食品中的三聚氰胺不超过1毫克/千克。为了快速准确地识别原料牛奶中的三聚氰胺是否超过极限,在900-1700nm的光谱范围内收集220个原牛奶样品和380个三聚氰胺掺杂的原牛奶样品的近红外透射(NIRT)光谱。使用不同的光谱预处理和尺寸减少方法来预处理具有425个波长的全光谱数据。基于完全光谱和减少数据,构建了部分最小二乘区分分析(PLS-DA)和支持向量机(SVM)的定性预测模型。结果表明,SVM在鉴定三聚氰胺掺杂的原料乳中较好,三聚氰胺掺杂的三聚氰胺含量超过1mg / kg的原料。使用全光谱的已建立的SVM模型具有最佳预测性能,精度率为92.67%,灵敏度为89.09%,特异性为94.74%。该研究表明,通过使用NIRT光谱,可以鉴定三聚氰胺含量超过1mg / kg的原料乳。实践本研究证明,其三聚氰胺含量超过1mg / kg的原料牛奶可以通过使用近红外传输光谱。结果为开发便携式仪器以原位或现场透露三聚氰胺掺杂的原料牛奶的技术支持和有效信息。

著录项

  • 来源
    《Journal of food process engineering》 |2021年第6期|e13685.1-e13685.10|共10页
  • 作者单位

    Northwest A&F Univ Coll Mech & Elect Engn Yangling 712100 Shaanxi Peoples R China;

    Northwest A&F Univ Coll Mech & Elect Engn Yangling 712100 Shaanxi Peoples R China;

    Northwest A&F Univ Coll Mech & Elect Engn Yangling 712100 Shaanxi Peoples R China;

    Northwest A&F Univ Coll Mech & Elect Engn Yangling 712100 Shaanxi Peoples R China;

    Northwest A&F Univ Coll Mech & Elect Engn Yangling 712100 Shaanxi Peoples R China|Minist Agr & Rural Affairs Key Lab Agr Internet Things Yangling Shaanxi Peoples R China|Shaanxi Key Lab Agr Informat Percept & Intelligen Yangling Shaanxi 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

  • 入库时间 2022-08-19 02:17:04

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