Discriminating factors for Ficus deltoidea jack varieties by HPTLC coupled with chemometrics


Citation

Nashriyah Mat, . and Khamsah Suryati Mohd, . and Zhari Ismail, . and Azierah Azemin, . and Hafizan Juahir, . Discriminating factors for Ficus deltoidea jack varieties by HPTLC coupled with chemometrics. pp. 86-92. ISSN 2180-1983

Abstract

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.


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Abstract

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.

Additional Metadata

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Item Type: Article
AGROVOC Term: Ficus
AGROVOC Term: Moraceae
AGROVOC Term: Cultivars
AGROVOC Term: Discriminant analysis
AGROVOC Term: Identification
AGROVOC Term: Methanol
AGROVOC Term: Thin layer chromatography
AGROVOC Term: Leaves
AGROVOC Term: Leaf extracts
AGROVOC Term: Distilled water
Geographical Term: Malaysia
Depositing User: Ms. Suzila Mohamad Kasim
Last Modified: 28 Apr 2025 06:05
URI: http://webagris.upm.edu.my/id/eprint/24074

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