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Application of multivariate data analysis for rapid identification of flavonoids classes

Che Noh, Che Hafizah and Mohamed Azmin, Nor Fadhillah and Amid, Azura and Asnawi, Ani Liza (2016) Application of multivariate data analysis for rapid identification of flavonoids classes. In: 4th International Conference on Biotechnology Engineering 2016 (ICBioE 2016), 25th-27th July 2016, Kuala Lumpur.

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Bioactive compounds are one of the natural products used especially for medicinal, pharmaceutical and food application. Increasing research performed on the extraction, isolation and identification of bioactive compounds, however non to date has explored on the identification of flavonoids classes. Therefore, this study was focused on the development of algorithm for rapid identification of flavonoids classes which are flavanone, flavone and flavonol. Fourier Transform Infrared (FTIR) spectroscopy coupled with multivariate statistical data analysis, which is Principal Component Analysis (PCA) was performed. The results showed that the flavonoids classes were identified according to spectral region assigned using the PCA algorithm based on the FTIR spectrum of the samples. The study concluded that FTIR coupled with PCA analysis can be used as a molecular fingerprint for rapid identification of flavonoids classes. The comparative studies of other flavonoids classes are still under investigation using the same method.

Item Type: Conference or Workshop Item (Invited Papers)
Additional Information: 4051/51673
Uncontrolled Keywords: Fourier Transform Infrared Spectroscopy; Fingerprint Algorithm; Principal Component Analysis; Flavonoids
Subjects: Q Science > QK Botany
T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Depositing User: Dr Nor Fadhillah Mohamed Azmin
Date Deposited: 18 Aug 2016 10:38
Last Modified: 12 Jul 2017 12:38
URI: http://irep.iium.edu.my/id/eprint/51673

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