Chemometric Profiling of Clinacanthus nutans Leaves Possessing Antioxidant Activities using Ultraviolet-visible Spectrophotometry

The goal of this study was to identify active metabolites responsible for the antioxidant activities of Clinacanthus nutans leaf extracts using an ultraviolet-visible (UV-Vis) spectrophotometric-based metabolomics approach. The extracts were subjected to three antioxidant assays including diphenyl-1...

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Main Authors: Hui Wen Chong, Khansa Rezaei, Bee Lynn Chew, Vuanghao Lim
Format: บทความวารสาร
Language:English
Published: Science Faculty of Chiang Mai University 2019
Online Access:http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=9158
http://cmuir.cmu.ac.th/jspui/handle/6653943832/64127
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-641272019-05-07T09:59:48Z Chemometric Profiling of Clinacanthus nutans Leaves Possessing Antioxidant Activities using Ultraviolet-visible Spectrophotometry Hui Wen Chong Khansa Rezaei Bee Lynn Chew Vuanghao Lim The goal of this study was to identify active metabolites responsible for the antioxidant activities of Clinacanthus nutans leaf extracts using an ultraviolet-visible (UV-Vis) spectrophotometric-based metabolomics approach. The extracts were subjected to three antioxidant assays including diphenyl-1-picrylhydrazyl (DPPH) radical scavenging assay, nitric oxide (NO) radical scavenging activity, and metal chelating assay. Spectrophotometric data were analysed using soft independent modeling of class analogy (SIMCA) software. Principal component analysis (PCA), partial least squares (PLS), and orthogonal PLS discriminant analysis (OPLS-DA) were used to conduct multivariate data analysis. The ethanolic extract of C. nutans leaves had the highest antioxidant capacity. Rutin, betulin, lupeol, orientin, schaftoside, vitexin, and chlorogenic acid were detected at wavelengths of 318 to 359 nm and identified as potential antioxidants in ethanol and water extracts. OPLS-DA provided clearer discrimination of extracts into four distinct clusters with improved spatial distribution as compared with PCA model. CV- ANOVA of OPLS-DA and PLS supported the reliability of models when p < 0.000. Creditability of PLS model was further proved when R2 and Q2 were nicely intercepted in PLS permutation plot. This study highlighted the potential of using UV-Vis spectrophotometry in metabolomics approaches to assess the metabolite variation in samples, thereby contributing to comprehensive knowledge of plants with antioxidant activities, aiding with the development of nutraceuticals for treating antioxidant damages and related disorders. 2019-05-07T09:59:48Z 2019-05-07T09:59:48Z 2018 บทความวารสาร 0125-2526 http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=9158 http://cmuir.cmu.ac.th/jspui/handle/6653943832/64127 Eng Science Faculty of Chiang Mai University
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
language English
description The goal of this study was to identify active metabolites responsible for the antioxidant activities of Clinacanthus nutans leaf extracts using an ultraviolet-visible (UV-Vis) spectrophotometric-based metabolomics approach. The extracts were subjected to three antioxidant assays including diphenyl-1-picrylhydrazyl (DPPH) radical scavenging assay, nitric oxide (NO) radical scavenging activity, and metal chelating assay. Spectrophotometric data were analysed using soft independent modeling of class analogy (SIMCA) software. Principal component analysis (PCA), partial least squares (PLS), and orthogonal PLS discriminant analysis (OPLS-DA) were used to conduct multivariate data analysis. The ethanolic extract of C. nutans leaves had the highest antioxidant capacity. Rutin, betulin, lupeol, orientin, schaftoside, vitexin, and chlorogenic acid were detected at wavelengths of 318 to 359 nm and identified as potential antioxidants in ethanol and water extracts. OPLS-DA provided clearer discrimination of extracts into four distinct clusters with improved spatial distribution as compared with PCA model. CV- ANOVA of OPLS-DA and PLS supported the reliability of models when p < 0.000. Creditability of PLS model was further proved when R2 and Q2 were nicely intercepted in PLS permutation plot. This study highlighted the potential of using UV-Vis spectrophotometry in metabolomics approaches to assess the metabolite variation in samples, thereby contributing to comprehensive knowledge of plants with antioxidant activities, aiding with the development of nutraceuticals for treating antioxidant damages and related disorders.
format บทความวารสาร
author Hui Wen Chong
Khansa Rezaei
Bee Lynn Chew
Vuanghao Lim
spellingShingle Hui Wen Chong
Khansa Rezaei
Bee Lynn Chew
Vuanghao Lim
Chemometric Profiling of Clinacanthus nutans Leaves Possessing Antioxidant Activities using Ultraviolet-visible Spectrophotometry
author_facet Hui Wen Chong
Khansa Rezaei
Bee Lynn Chew
Vuanghao Lim
author_sort Hui Wen Chong
title Chemometric Profiling of Clinacanthus nutans Leaves Possessing Antioxidant Activities using Ultraviolet-visible Spectrophotometry
title_short Chemometric Profiling of Clinacanthus nutans Leaves Possessing Antioxidant Activities using Ultraviolet-visible Spectrophotometry
title_full Chemometric Profiling of Clinacanthus nutans Leaves Possessing Antioxidant Activities using Ultraviolet-visible Spectrophotometry
title_fullStr Chemometric Profiling of Clinacanthus nutans Leaves Possessing Antioxidant Activities using Ultraviolet-visible Spectrophotometry
title_full_unstemmed Chemometric Profiling of Clinacanthus nutans Leaves Possessing Antioxidant Activities using Ultraviolet-visible Spectrophotometry
title_sort chemometric profiling of clinacanthus nutans leaves possessing antioxidant activities using ultraviolet-visible spectrophotometry
publisher Science Faculty of Chiang Mai University
publishDate 2019
url http://it.science.cmu.ac.th/ejournal/dl.php?journal_id=9158
http://cmuir.cmu.ac.th/jspui/handle/6653943832/64127
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