Profiling and identification of phytochemicals from erythrina fusca extracts and their activity against skin infectious bacterial strains through proton NMR-based chemometric approach / Adiez Sapura Azmi

Azmi, Adiez Sapura (2023) Profiling and identification of phytochemicals from erythrina fusca extracts and their activity against skin infectious bacterial strains through proton NMR-based chemometric approach / Adiez Sapura Azmi. Masters thesis, Universiti Teknologi MARA (UiTM).

Abstract

Erythrina fusca (Fabaceae) is a red flowering plant belonging to the Erythrina genus. Traditionally, this plant has been claimed to have therapeutic effects on certain symptoms associated with bacterial infections. Although the reported therapeutic activities of the plant are attributed to its alkaloidal content, there is currently no scientific data available to support these claims, particularly regarding the antibacterial activity of the plant against bacterial strains commonly responsible for human infections. Therefore, the objectives of this study were; 1) to extracts alkaloids from E. fusca's, leaves using a tartaric and hydrochloric acids through acid-base extraction, 2) to evaluate the antibacterial activity of extracts obtained from different parts of E.fusca (leaves, twigs, and flowers) against four human infectious bacterial strains, namely Staphylococcus aureus, Staphylococcus haemolyticus, Enterobacter cloacae, and Enterobacter aerogenes; 3) to profile and identify the phytochemicals present in the extracts, 4) to determine the variation of phytochemicals between the extracts and the correlation with their antibacterial activity. The antibacterial activity was evaluated using well diffusion method with ciprofloxacin as the positive control. The phytochemicals were profiled and identified using proton nuclear magnetic resonance (JH NMR)-based data analysis, while the phytochemicals variation between different extracts and their correlation with antibacterial activity were determined using principal component analysis (PCA), partial least square discriminant analysis (PLS-DA) and partial least square (PLS) regression.

Metadata

Item Type: Thesis (Masters)
Creators:
Creators
Email / ID Num.
Azmi, Adiez Sapura
2017130047
Contributors:
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Name
Email / ID Num.
Thesis advisor
Salim, Fatimah
UNSPECIFIED
Subjects: Q Science > QK Botany
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Applied Sciences
Programme: Master of Science (Chemistry)
Keywords: Erythrina species, phytochemicals, bacterial skin infectious disease
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/91034
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