Discrimination of Four Cinnamomum Species with Physico-Functional Properties and Chemometric Techniques: Application of PCA and MDA Models

Discrimination of highly valued and non-hepatotoxic Cinnamomum species (C. verum) from hepatotoxic (C. burmannii, C. loureiroi, and C. cassia) is es...

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Autores principales:	Priya Rana, Shu-Yi Liaw, Meng-Shiou Lee, Shyang-Chwen Sheu
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	cinnamon chemometrics food fraud identification model physico-functional Chemical technology TP1-1185
Acceso en línea:	https://doaj.org/article/c71963225f1343be966d713cf31c6b76
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spelling	oai:doaj.org-article:c71963225f1343be966d713cf31c6b762021-11-25T17:36:45ZDiscrimination of Four <i>Cinnamomum</i> Species with Physico-Functional Properties and Chemometric Techniques: Application of PCA and MDA Models10.3390/foods101128712304-8158https://doaj.org/article/c71963225f1343be966d713cf31c6b762021-11-01T00:00:00Zhttps://www.mdpi.com/2304-8158/10/11/2871https://doaj.org/toc/2304-8158Discrimination of highly valued and non-hepatotoxic <i>Cinnamomum</i> species (<i>C. verum</i>) from hepatotoxic (<i>C</i>. <i>burmannii</i>, <i>C</i>. <i>loureiroi</i>, and <i>C</i>. <i>cassia</i>) is essential for preventing food adulteration and safety problems. In this study, we developed a new method for the discrimination of four <i>Cinnamomum</i> species using physico-functional properties and chemometric techniques. The data were analyzed through principal component analysis (PCA) and multiclass discriminant analysis (MDA). The results showed that the cumulative variability of the first three principal components was 81.70%. The PCA score plot indicated a clear separation of the different <i>Cinnamomum</i> species. The training set was used to build the discriminant MDA model. The testing set was verified by this model. The prediction rate of 100% proved that the model was valid and reliable. Therefore, physico-functional properties coupled with chemometric techniques constitute a practical approach for discrimination of <i>Cinnamomum</i> species to prevent food fraud.Priya RanaShu-Yi LiawMeng-Shiou LeeShyang-Chwen SheuMDPI AGarticlecinnamonchemometricsfood fraudidentification modelphysico-functionalChemical technologyTP1-1185ENFoods, Vol 10, Iss 2871, p 2871 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	cinnamon chemometrics food fraud identification model physico-functional Chemical technology TP1-1185
spellingShingle	cinnamon chemometrics food fraud identification model physico-functional Chemical technology TP1-1185 Priya Rana Shu-Yi Liaw Meng-Shiou Lee Shyang-Chwen Sheu Discrimination of Four <i>Cinnamomum</i> Species with Physico-Functional Properties and Chemometric Techniques: Application of PCA and MDA Models
description	Discrimination of highly valued and non-hepatotoxic <i>Cinnamomum</i> species (<i>C. verum</i>) from hepatotoxic (<i>C</i>. <i>burmannii</i>, <i>C</i>. <i>loureiroi</i>, and <i>C</i>. <i>cassia</i>) is essential for preventing food adulteration and safety problems. In this study, we developed a new method for the discrimination of four <i>Cinnamomum</i> species using physico-functional properties and chemometric techniques. The data were analyzed through principal component analysis (PCA) and multiclass discriminant analysis (MDA). The results showed that the cumulative variability of the first three principal components was 81.70%. The PCA score plot indicated a clear separation of the different <i>Cinnamomum</i> species. The training set was used to build the discriminant MDA model. The testing set was verified by this model. The prediction rate of 100% proved that the model was valid and reliable. Therefore, physico-functional properties coupled with chemometric techniques constitute a practical approach for discrimination of <i>Cinnamomum</i> species to prevent food fraud.
format	article
author	Priya Rana Shu-Yi Liaw Meng-Shiou Lee Shyang-Chwen Sheu
author_facet	Priya Rana Shu-Yi Liaw Meng-Shiou Lee Shyang-Chwen Sheu
author_sort	Priya Rana
title	Discrimination of Four <i>Cinnamomum</i> Species with Physico-Functional Properties and Chemometric Techniques: Application of PCA and MDA Models
title_short	Discrimination of Four <i>Cinnamomum</i> Species with Physico-Functional Properties and Chemometric Techniques: Application of PCA and MDA Models
title_full	Discrimination of Four <i>Cinnamomum</i> Species with Physico-Functional Properties and Chemometric Techniques: Application of PCA and MDA Models
title_fullStr	Discrimination of Four <i>Cinnamomum</i> Species with Physico-Functional Properties and Chemometric Techniques: Application of PCA and MDA Models
title_full_unstemmed	Discrimination of Four <i>Cinnamomum</i> Species with Physico-Functional Properties and Chemometric Techniques: Application of PCA and MDA Models
title_sort	discrimination of four <i>cinnamomum</i> species with physico-functional properties and chemometric techniques: application of pca and mda models
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c71963225f1343be966d713cf31c6b76
work_keys_str_mv	AT priyarana discriminationoffouricinnamomumispecieswithphysicofunctionalpropertiesandchemometrictechniquesapplicationofpcaandmdamodels AT shuyiliaw discriminationoffouricinnamomumispecieswithphysicofunctionalpropertiesandchemometrictechniquesapplicationofpcaandmdamodels AT mengshioulee discriminationoffouricinnamomumispecieswithphysicofunctionalpropertiesandchemometrictechniquesapplicationofpcaandmdamodels AT shyangchwensheu discriminationoffouricinnamomumispecieswithphysicofunctionalpropertiesandchemometrictechniquesapplicationofpcaandmdamodels
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Discrimination of Four <i>Cinnamomum</i> Species with Physico-Functional Properties and Chemometric Techniques: Application of PCA and MDA Models

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