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利用点扫描拉曼高光谱成像技术快速检测奶粉中的非蛋白氮掺假物

Rapid Detection of Nonprotein Nitrogen Adulterants in Milk Powder Using Point-Scan Raman Hyperspectral Imaging Technology.

作者信息

Yang Qiaoling, Niu Bing, Gu Shuqing, Ma Jinge, Zhao Chaomin, Chen Qin, Guo Dehua, Deng Xiaojun, Yu Yongai, Zhang Feng

机构信息

School of Environmental and Chemical Engineering, Shanghai University, Shanghai 200444, P. R. China.

School of Life Sciences, Shanghai University, Shanghai 200444, P. R. China.

出版信息

ACS Omega. 2022 Jan 5;7(2):2064-2073. doi: 10.1021/acsomega.1c05533. eCollection 2022 Jan 18.

Abstract

To develop a rapid detection method for nonprotein nitrogen adulterants, this experiment sets up a set of point-scan Raman hyperspectral imaging systems to qualitatively distinguish and quantitatively and positionally analyze samples spiked with a single nonprotein nitrogen adulterant and samples spiked with a mixture of nine nonprotein nitrogen adulterants at different concentrations (5 × 10 to 2.000%, w/w). The results showed that for samples spiked with single nonprotein nitrogen adulterants, the number of pixels corresponding to the adulterant in the region of interest increased linearly with an increase in the analyte concentration, the average coefficient of determination ( ) was above 0.99, the minimum detection concentration of nonprotein nitrogen adulterants reached 0.010%, and the relative standard deviation (RSD) of the predicted concentration was less than 6%. For the sample spiked with a mixture of nine nonprotein nitrogen adulterants, the standard curve could be used to accurately predict the additive concentration when the additive concentration was greater than 1.200%. The detection method established in this study has good accuracy, high sensitivity, and strong stability. It provides a method for technical implementation of real-time and rapid detection of adulterants in milk powder at the port site and has good application and promotion prospects.

摘要

为建立一种非蛋白氮掺假物的快速检测方法,本实验搭建了一套点扫描拉曼高光谱成像系统,用于对添加单一非蛋白氮掺假物的样品以及添加九种不同浓度(5×10至2.000%,w/w)非蛋白氮掺假物混合物的样品进行定性鉴别、定量及定位分析。结果表明,对于添加单一非蛋白氮掺假物的样品,感兴趣区域内掺假物对应的像素数量随分析物浓度增加呈线性增加,平均决定系数( )高于0.99,非蛋白氮掺假物的最低检测浓度达到0.010%,预测浓度的相对标准偏差(RSD)小于6%。对于添加九种非蛋白氮掺假物混合物的样品,当掺假物浓度大于1.200%时,标准曲线可用于准确预测添加物浓度。本研究建立的检测方法具有良好的准确性、高灵敏度和强稳定性。它为口岸现场奶粉掺假物的实时快速检测提供了一种技术实施方法,具有良好的应用和推广前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df30/8772326/4c783923f15b/ao1c05533_0002.jpg

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