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The Authentication of Java Turmeric (Curcuma xanthorrhiza) Using Thin Layer Chromatography and (1)H-NMR Based-Metabolite Fingerprinting Coupled with Multivariate Analysis
The identification of adulteration practices of medicinal plants used as herbal medicine is very important to ensure the quality, safety, and efficacy. In this study, thin layer chromatography (TLC) and proton nuclear magnetic resonance ((1)H-NMR)-based metabolite fingerprinting coupled with multiva...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504799/ https://www.ncbi.nlm.nih.gov/pubmed/32867389 http://dx.doi.org/10.3390/molecules25173928 |
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author | Rohman, Abdul Wijayanti, Theresia Windarsih, Anjar Riyanto, Sugeng |
author_facet | Rohman, Abdul Wijayanti, Theresia Windarsih, Anjar Riyanto, Sugeng |
author_sort | Rohman, Abdul |
collection | PubMed |
description | The identification of adulteration practices of medicinal plants used as herbal medicine is very important to ensure the quality, safety, and efficacy. In this study, thin layer chromatography (TLC) and proton nuclear magnetic resonance ((1)H-NMR)-based metabolite fingerprinting coupled with multivariate analysis were used for authentication of Curcuma xanthorrhiza extract from Curcuma aeruginosa. Curcumin contents obtained from C. xanthorrhiza extract from various regions were in the range of 0.74%–1.23%. Meanwhile, curcumin contents obtained from C. xanthorrhiza extract adulterated with 0%, 10%, 25%, 40%, 50%, and 75% of C. aeruginosa were 1.02%, 0.96%, 0.86%, 0.69%, 0.43%, and 0.27%, respectively. The decreasing of curcumin contents in adulterant concentrations of 40% and more in C. xanthorrhiza rhizome could indicate the adulteration with other rhizomes. Multivariate analysis of PCA (principal component analysis) using data set obtained from (1)H-NMR spectra clearly discriminated pure and adulterated C. xanthorrhiza with C. aeruginosa. OPLS-DA (orthogonal projections to latent structures-discriminant analysis) successfully classified pure and adulterated C. xanthorrhiza with higher R2X (0.965), R2Y (0.958), and Q2(cum) (0.93). It can be concluded that (1)H-NMR-based metabolite fingerprinting coupled with PCA and OPLS-DA offers an adequate method to assess adulteration practice and to evaluate the authentication of C. xanthorrhiza extracts. |
format | Online Article Text |
id | pubmed-7504799 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75047992020-09-26 The Authentication of Java Turmeric (Curcuma xanthorrhiza) Using Thin Layer Chromatography and (1)H-NMR Based-Metabolite Fingerprinting Coupled with Multivariate Analysis Rohman, Abdul Wijayanti, Theresia Windarsih, Anjar Riyanto, Sugeng Molecules Article The identification of adulteration practices of medicinal plants used as herbal medicine is very important to ensure the quality, safety, and efficacy. In this study, thin layer chromatography (TLC) and proton nuclear magnetic resonance ((1)H-NMR)-based metabolite fingerprinting coupled with multivariate analysis were used for authentication of Curcuma xanthorrhiza extract from Curcuma aeruginosa. Curcumin contents obtained from C. xanthorrhiza extract from various regions were in the range of 0.74%–1.23%. Meanwhile, curcumin contents obtained from C. xanthorrhiza extract adulterated with 0%, 10%, 25%, 40%, 50%, and 75% of C. aeruginosa were 1.02%, 0.96%, 0.86%, 0.69%, 0.43%, and 0.27%, respectively. The decreasing of curcumin contents in adulterant concentrations of 40% and more in C. xanthorrhiza rhizome could indicate the adulteration with other rhizomes. Multivariate analysis of PCA (principal component analysis) using data set obtained from (1)H-NMR spectra clearly discriminated pure and adulterated C. xanthorrhiza with C. aeruginosa. OPLS-DA (orthogonal projections to latent structures-discriminant analysis) successfully classified pure and adulterated C. xanthorrhiza with higher R2X (0.965), R2Y (0.958), and Q2(cum) (0.93). It can be concluded that (1)H-NMR-based metabolite fingerprinting coupled with PCA and OPLS-DA offers an adequate method to assess adulteration practice and to evaluate the authentication of C. xanthorrhiza extracts. MDPI 2020-08-27 /pmc/articles/PMC7504799/ /pubmed/32867389 http://dx.doi.org/10.3390/molecules25173928 Text en © 2020 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Rohman, Abdul Wijayanti, Theresia Windarsih, Anjar Riyanto, Sugeng The Authentication of Java Turmeric (Curcuma xanthorrhiza) Using Thin Layer Chromatography and (1)H-NMR Based-Metabolite Fingerprinting Coupled with Multivariate Analysis |
title | The Authentication of Java Turmeric (Curcuma xanthorrhiza) Using Thin Layer Chromatography and (1)H-NMR Based-Metabolite Fingerprinting Coupled with Multivariate Analysis |
title_full | The Authentication of Java Turmeric (Curcuma xanthorrhiza) Using Thin Layer Chromatography and (1)H-NMR Based-Metabolite Fingerprinting Coupled with Multivariate Analysis |
title_fullStr | The Authentication of Java Turmeric (Curcuma xanthorrhiza) Using Thin Layer Chromatography and (1)H-NMR Based-Metabolite Fingerprinting Coupled with Multivariate Analysis |
title_full_unstemmed | The Authentication of Java Turmeric (Curcuma xanthorrhiza) Using Thin Layer Chromatography and (1)H-NMR Based-Metabolite Fingerprinting Coupled with Multivariate Analysis |
title_short | The Authentication of Java Turmeric (Curcuma xanthorrhiza) Using Thin Layer Chromatography and (1)H-NMR Based-Metabolite Fingerprinting Coupled with Multivariate Analysis |
title_sort | authentication of java turmeric (curcuma xanthorrhiza) using thin layer chromatography and (1)h-nmr based-metabolite fingerprinting coupled with multivariate analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7504799/ https://www.ncbi.nlm.nih.gov/pubmed/32867389 http://dx.doi.org/10.3390/molecules25173928 |
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