Identification of the raw and processed Crataegi Fructus based on the electronic nose coupled with chemometric methods

Abstract Crataegi Fructus (CF) is widely used as a medicinal and edible material around the world. Currently, different types of processed CF products are commonly found in the market. Quality evaluation of them mainly relies on chemical content determination, which is time and money consuming. To r...

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Autores principales:	Chenghao Fei, Chenchen Ren, Yulin Wang, Lin Li, Weidong Li, Fangzhou Yin, Tulin Lu, Wu Yin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/256e4e6136664a0e8964bcc311379df6
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spelling	oai:doaj.org-article:256e4e6136664a0e8964bcc311379df62021-12-02T13:56:55ZIdentification of the raw and processed Crataegi Fructus based on the electronic nose coupled with chemometric methods10.1038/s41598-020-79717-w2045-2322https://doaj.org/article/256e4e6136664a0e8964bcc311379df62021-01-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79717-whttps://doaj.org/toc/2045-2322Abstract Crataegi Fructus (CF) is widely used as a medicinal and edible material around the world. Currently, different types of processed CF products are commonly found in the market. Quality evaluation of them mainly relies on chemical content determination, which is time and money consuming. To rapidly and nondestructively discriminate different types of processed CF products, an electronic nose coupled with chemometrics was developed. The odour detection method of CF was first established by single-factor investigation. Then, the sensor array was optimised by a stepwise discriminant analysis (SDA) and analysis of variance (ANOVA). Based on the best-optimised sensor array, the digital and mode standard were established, realizing the odour quality control of samples. Meanwhile, mathematical prediction models including the discriminant formula and back-propagation neural network (BPNN) model exhibited good evaluation with a high accuracy rate. These results suggest that the developed electronic nose system could be an alternative way for evaluating the odour of different types of processed CF products.Chenghao FeiChenchen RenYulin WangLin LiWeidong LiFangzhou YinTulin LuWu YinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Chenghao Fei Chenchen Ren Yulin Wang Lin Li Weidong Li Fangzhou Yin Tulin Lu Wu Yin Identification of the raw and processed Crataegi Fructus based on the electronic nose coupled with chemometric methods
description	Abstract Crataegi Fructus (CF) is widely used as a medicinal and edible material around the world. Currently, different types of processed CF products are commonly found in the market. Quality evaluation of them mainly relies on chemical content determination, which is time and money consuming. To rapidly and nondestructively discriminate different types of processed CF products, an electronic nose coupled with chemometrics was developed. The odour detection method of CF was first established by single-factor investigation. Then, the sensor array was optimised by a stepwise discriminant analysis (SDA) and analysis of variance (ANOVA). Based on the best-optimised sensor array, the digital and mode standard were established, realizing the odour quality control of samples. Meanwhile, mathematical prediction models including the discriminant formula and back-propagation neural network (BPNN) model exhibited good evaluation with a high accuracy rate. These results suggest that the developed electronic nose system could be an alternative way for evaluating the odour of different types of processed CF products.
format	article
author	Chenghao Fei Chenchen Ren Yulin Wang Lin Li Weidong Li Fangzhou Yin Tulin Lu Wu Yin
author_facet	Chenghao Fei Chenchen Ren Yulin Wang Lin Li Weidong Li Fangzhou Yin Tulin Lu Wu Yin
author_sort	Chenghao Fei
title	Identification of the raw and processed Crataegi Fructus based on the electronic nose coupled with chemometric methods
title_short	Identification of the raw and processed Crataegi Fructus based on the electronic nose coupled with chemometric methods
title_full	Identification of the raw and processed Crataegi Fructus based on the electronic nose coupled with chemometric methods
title_fullStr	Identification of the raw and processed Crataegi Fructus based on the electronic nose coupled with chemometric methods
title_full_unstemmed	Identification of the raw and processed Crataegi Fructus based on the electronic nose coupled with chemometric methods
title_sort	identification of the raw and processed crataegi fructus based on the electronic nose coupled with chemometric methods
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/256e4e6136664a0e8964bcc311379df6
work_keys_str_mv	AT chenghaofei identificationoftherawandprocessedcrataegifructusbasedontheelectronicnosecoupledwithchemometricmethods AT chenchenren identificationoftherawandprocessedcrataegifructusbasedontheelectronicnosecoupledwithchemometricmethods AT yulinwang identificationoftherawandprocessedcrataegifructusbasedontheelectronicnosecoupledwithchemometricmethods AT linli identificationoftherawandprocessedcrataegifructusbasedontheelectronicnosecoupledwithchemometricmethods AT weidongli identificationoftherawandprocessedcrataegifructusbasedontheelectronicnosecoupledwithchemometricmethods AT fangzhouyin identificationoftherawandprocessedcrataegifructusbasedontheelectronicnosecoupledwithchemometricmethods AT tulinlu identificationoftherawandprocessedcrataegifructusbasedontheelectronicnosecoupledwithchemometricmethods AT wuyin identificationoftherawandprocessedcrataegifructusbasedontheelectronicnosecoupledwithchemometricmethods
_version_	1718392310275768320

Identification of the raw and processed Crataegi Fructus based on the electronic nose coupled with chemometric methods

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