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Discriminating factors for Ficus deltoidea Jack varieties by HPTLC coupled with Chemometrics

Ficus deltoidea Jack (FD) is a highly potential herb. However, there is serious confusion on selecting the right plant as FD occurs in several varieties. In this study, a high-performance thin layer chromatography (HPTLC) method was developed to determine the discriminating factors of FD varieties...

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Main Authors: Khamsah Suryati, Mohd, Nashriyah, Mat, Hafizan, Juahir, Azierah, Azemin, Zhari, Ismail
Format: Article
Language:English
Published: 2017
Subjects:
QA Mathematics
Online Access:http://eprints.unisza.edu.my/5645/1/FH02-FBIM-18-12463.pdf
http://eprints.unisza.edu.my/5645/
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spelling my-unisza-ir.56452022-02-22T06:35:57Z http://eprints.unisza.edu.my/5645/ Discriminating factors for Ficus deltoidea Jack varieties by HPTLC coupled with Chemometrics Khamsah Suryati, Mohd Nashriyah, Mat Hafizan, Juahir Azierah, Azemin Zhari, Ismail QA Mathematics Ficus deltoidea Jack (FD) is a highly potential herb. However, there is serious confusion on selecting the right plant as FD occurs in several varieties. In this study, a high-performance thin layer chromatography (HPTLC) method was developed to determine the discriminating factors of FD varieties. Eight varieties of methanol extract, five varieties of water extract and marker compounds, vitexin and isovitexin were analyzed. Chemometric analysis; principal component (PCA), hierarchical cluster (HCA) and discriminant (DA) on HPTLC Rf value were performed. For methanol extracts, total variance of PCA score was 66.78% and clustered apart from each other. Total variance of water extract was 82.25%, which grouped into three clusters. HCA analysis produced three clusters for both types of extracts. Discriminant analysis revealed that methanol and water extracts were 100% discriminated. This finding suggests that the discriminant factors between methanol extracts were unidentified compounds at Rf value of 0.51, 0.72 and isovitexin. Meanwhile, isovitexin and vitexin were identified as discriminant factors for water extract. 2017-12 Article PeerReviewed text en http://eprints.unisza.edu.my/5645/1/FH02-FBIM-18-12463.pdf Khamsah Suryati, Mohd and Nashriyah, Mat and Hafizan, Juahir and Azierah, Azemin and Zhari, Ismail (2017) Discriminating factors for Ficus deltoidea Jack varieties by HPTLC coupled with Chemometrics. Journal of Agrobiotechnology, 8 (2). pp. 86-95. ISSN 2180-1983
institution Universiti Sultan Zainal Abidin
building UNISZA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sultan Zainal Abidin
content_source UNISZA Institutional Repository
url_provider https://eprints.unisza.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
Khamsah Suryati, Mohd
Nashriyah, Mat
Hafizan, Juahir
Azierah, Azemin
Zhari, Ismail
Discriminating factors for Ficus deltoidea Jack varieties by HPTLC coupled with Chemometrics
description Ficus deltoidea Jack (FD) is a highly potential herb. However, there is serious confusion on selecting the right plant as FD occurs in several varieties. In this study, a high-performance thin layer chromatography (HPTLC) method was developed to determine the discriminating factors of FD varieties. Eight varieties of methanol extract, five varieties of water extract and marker compounds, vitexin and isovitexin were analyzed. Chemometric analysis; principal component (PCA), hierarchical cluster (HCA) and discriminant (DA) on HPTLC Rf value were performed. For methanol extracts, total variance of PCA score was 66.78% and clustered apart from each other. Total variance of water extract was 82.25%, which grouped into three clusters. HCA analysis produced three clusters for both types of extracts. Discriminant analysis revealed that methanol and water extracts were 100% discriminated. This finding suggests that the discriminant factors between methanol extracts were unidentified compounds at Rf value of 0.51, 0.72 and isovitexin. Meanwhile, isovitexin and vitexin were identified as discriminant factors for water extract.
format Article
author Khamsah Suryati, Mohd
Nashriyah, Mat
Hafizan, Juahir
Azierah, Azemin
Zhari, Ismail
author_facet Khamsah Suryati, Mohd
Nashriyah, Mat
Hafizan, Juahir
Azierah, Azemin
Zhari, Ismail
author_sort Khamsah Suryati, Mohd
title Discriminating factors for Ficus deltoidea Jack varieties by HPTLC coupled with Chemometrics
title_short Discriminating factors for Ficus deltoidea Jack varieties by HPTLC coupled with Chemometrics
title_full Discriminating factors for Ficus deltoidea Jack varieties by HPTLC coupled with Chemometrics
title_fullStr Discriminating factors for Ficus deltoidea Jack varieties by HPTLC coupled with Chemometrics
title_full_unstemmed Discriminating factors for Ficus deltoidea Jack varieties by HPTLC coupled with Chemometrics
title_sort discriminating factors for ficus deltoidea jack varieties by hptlc coupled with chemometrics
publishDate 2017
url http://eprints.unisza.edu.my/5645/1/FH02-FBIM-18-12463.pdf
http://eprints.unisza.edu.my/5645/
_version_ 1725976977709465600
score 13.211869

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