Characterization And Classification Of Bioactive Compound In Natural Products By FTIR And Multivariate Data Analysis

• Main Authors: Mohamed Azmin, Nor Fadhillah, Amid, Azura, Asnawi, Ani Liza
• Format: Monograph
• Language: English
• Published: 2018
• Subjects: QA300 Analysis; QD Chemistry; TP248.13 Biotechnology
• Online Access: http://irep.iium.edu.my/71669/1/Borang%20RAGS%20P3%28R%29%20-%20LAPORAN%20AKHIR%20DNFMA.pdf; http://irep.iium.edu.my/71669/

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.