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Rapid Detection of Nonprotein Nitrogen Adulterants in Milk Powder Using Point-Scan Raman Hyperspectral Imaging Technology
[Image: see text] 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 adulter...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772326/ https://www.ncbi.nlm.nih.gov/pubmed/35071894 http://dx.doi.org/10.1021/acsomega.1c05533 |
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author | Yang, Qiaoling Niu, Bing Gu, Shuqing Ma, Jinge Zhao, Chaomin Chen, Qin Guo, Dehua Deng, Xiaojun Yu, Yongai Zhang, Feng |
author_facet | Yang, Qiaoling Niu, Bing Gu, Shuqing Ma, Jinge Zhao, Chaomin Chen, Qin Guo, Dehua Deng, Xiaojun Yu, Yongai Zhang, Feng |
author_sort | Yang, Qiaoling |
collection | PubMed |
description | [Image: see text] 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(–3) 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 (R(2)) 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. |
format | Online Article Text |
id | pubmed-8772326 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-87723262022-01-21 Rapid Detection of Nonprotein Nitrogen Adulterants in Milk Powder Using Point-Scan Raman Hyperspectral Imaging Technology Yang, Qiaoling Niu, Bing Gu, Shuqing Ma, Jinge Zhao, Chaomin Chen, Qin Guo, Dehua Deng, Xiaojun Yu, Yongai Zhang, Feng ACS Omega [Image: see text] 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(–3) 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 (R(2)) 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. American Chemical Society 2022-01-05 /pmc/articles/PMC8772326/ /pubmed/35071894 http://dx.doi.org/10.1021/acsomega.1c05533 Text en © 2022 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Yang, Qiaoling Niu, Bing Gu, Shuqing Ma, Jinge Zhao, Chaomin Chen, Qin Guo, Dehua Deng, Xiaojun Yu, Yongai Zhang, Feng Rapid Detection of Nonprotein Nitrogen Adulterants in Milk Powder Using Point-Scan Raman Hyperspectral Imaging Technology |
title | Rapid Detection of Nonprotein Nitrogen Adulterants
in Milk Powder Using Point-Scan Raman Hyperspectral Imaging Technology |
title_full | Rapid Detection of Nonprotein Nitrogen Adulterants
in Milk Powder Using Point-Scan Raman Hyperspectral Imaging Technology |
title_fullStr | Rapid Detection of Nonprotein Nitrogen Adulterants
in Milk Powder Using Point-Scan Raman Hyperspectral Imaging Technology |
title_full_unstemmed | Rapid Detection of Nonprotein Nitrogen Adulterants
in Milk Powder Using Point-Scan Raman Hyperspectral Imaging Technology |
title_short | Rapid Detection of Nonprotein Nitrogen Adulterants
in Milk Powder Using Point-Scan Raman Hyperspectral Imaging Technology |
title_sort | rapid detection of nonprotein nitrogen adulterants
in milk powder using point-scan raman hyperspectral imaging technology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8772326/ https://www.ncbi.nlm.nih.gov/pubmed/35071894 http://dx.doi.org/10.1021/acsomega.1c05533 |
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