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Rapid Test for Adulteration of Fritillaria Thunbergii in Fritillaria Cirrhosa by Laser-Induced Breakdown Spectroscopy

Fritillaria has a long history in China, and it can be consumed as medicine and food. Owing to the high cost of Fritillaria cirrhosa, traders sometimes mix it with the cheaper Fritillaria thunbergii powder to make profit. Herein, we proposed a laser-induced breakdown spectroscopy (LIBS) technique to...

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Autores principales: Wei, Kai, Teng, Geer, Wang, Qianqian, Xu, Xiangjun, Zhao, Zhifang, Liu, Haida, Bao, Mengyu, Zheng, Yongyue, Luo, Tianzhong, Lu, Bingheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138139/
https://www.ncbi.nlm.nih.gov/pubmed/37107505
http://dx.doi.org/10.3390/foods12081710
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author Wei, Kai
Teng, Geer
Wang, Qianqian
Xu, Xiangjun
Zhao, Zhifang
Liu, Haida
Bao, Mengyu
Zheng, Yongyue
Luo, Tianzhong
Lu, Bingheng
author_facet Wei, Kai
Teng, Geer
Wang, Qianqian
Xu, Xiangjun
Zhao, Zhifang
Liu, Haida
Bao, Mengyu
Zheng, Yongyue
Luo, Tianzhong
Lu, Bingheng
author_sort Wei, Kai
collection PubMed
description Fritillaria has a long history in China, and it can be consumed as medicine and food. Owing to the high cost of Fritillaria cirrhosa, traders sometimes mix it with the cheaper Fritillaria thunbergii powder to make profit. Herein, we proposed a laser-induced breakdown spectroscopy (LIBS) technique to test the adulteration present in the sample of Fritillaria cirrhosa powder. Experimental samples with different adulteration levels were prepared, and their LIBS spectra were obtained. Partial least squares regression (PLSR) was adopted as the quantitative analysis model to compare the effects of four data standardization methods, namely, mean centring, normalization by total area, standard normal variable, and normalization by the maximum, on the performance of the PLSR model. Principal component analysis and least absolute shrinkage and selection operator (LASSO) were utilized for feature extraction and feature selection, and the performance of the PLSR model was determined based on its quantitative analysis. Subsequently, the optimal number of features was determined. The residuals were corrected using support vector regression (SVR). The mean absolute error and root mean square error of prediction obtained from the quantitative analysis results of the combined LASSO-PLSR-SVR model for the test set data were 5.0396% and 7.2491%, respectively, and the coefficient of determination R(2) was 0.9983. The results showed that the LIBS technique can be adopted to test adulteration in the sample of Fritillaria cirrhosa powder and has potential applications in drug quality control.
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spelling pubmed-101381392023-04-28 Rapid Test for Adulteration of Fritillaria Thunbergii in Fritillaria Cirrhosa by Laser-Induced Breakdown Spectroscopy Wei, Kai Teng, Geer Wang, Qianqian Xu, Xiangjun Zhao, Zhifang Liu, Haida Bao, Mengyu Zheng, Yongyue Luo, Tianzhong Lu, Bingheng Foods Article Fritillaria has a long history in China, and it can be consumed as medicine and food. Owing to the high cost of Fritillaria cirrhosa, traders sometimes mix it with the cheaper Fritillaria thunbergii powder to make profit. Herein, we proposed a laser-induced breakdown spectroscopy (LIBS) technique to test the adulteration present in the sample of Fritillaria cirrhosa powder. Experimental samples with different adulteration levels were prepared, and their LIBS spectra were obtained. Partial least squares regression (PLSR) was adopted as the quantitative analysis model to compare the effects of four data standardization methods, namely, mean centring, normalization by total area, standard normal variable, and normalization by the maximum, on the performance of the PLSR model. Principal component analysis and least absolute shrinkage and selection operator (LASSO) were utilized for feature extraction and feature selection, and the performance of the PLSR model was determined based on its quantitative analysis. Subsequently, the optimal number of features was determined. The residuals were corrected using support vector regression (SVR). The mean absolute error and root mean square error of prediction obtained from the quantitative analysis results of the combined LASSO-PLSR-SVR model for the test set data were 5.0396% and 7.2491%, respectively, and the coefficient of determination R(2) was 0.9983. The results showed that the LIBS technique can be adopted to test adulteration in the sample of Fritillaria cirrhosa powder and has potential applications in drug quality control. MDPI 2023-04-20 /pmc/articles/PMC10138139/ /pubmed/37107505 http://dx.doi.org/10.3390/foods12081710 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wei, Kai
Teng, Geer
Wang, Qianqian
Xu, Xiangjun
Zhao, Zhifang
Liu, Haida
Bao, Mengyu
Zheng, Yongyue
Luo, Tianzhong
Lu, Bingheng
Rapid Test for Adulteration of Fritillaria Thunbergii in Fritillaria Cirrhosa by Laser-Induced Breakdown Spectroscopy
title Rapid Test for Adulteration of Fritillaria Thunbergii in Fritillaria Cirrhosa by Laser-Induced Breakdown Spectroscopy
title_full Rapid Test for Adulteration of Fritillaria Thunbergii in Fritillaria Cirrhosa by Laser-Induced Breakdown Spectroscopy
title_fullStr Rapid Test for Adulteration of Fritillaria Thunbergii in Fritillaria Cirrhosa by Laser-Induced Breakdown Spectroscopy
title_full_unstemmed Rapid Test for Adulteration of Fritillaria Thunbergii in Fritillaria Cirrhosa by Laser-Induced Breakdown Spectroscopy
title_short Rapid Test for Adulteration of Fritillaria Thunbergii in Fritillaria Cirrhosa by Laser-Induced Breakdown Spectroscopy
title_sort rapid test for adulteration of fritillaria thunbergii in fritillaria cirrhosa by laser-induced breakdown spectroscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10138139/
https://www.ncbi.nlm.nih.gov/pubmed/37107505
http://dx.doi.org/10.3390/foods12081710
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