Application of multivariate data analysis for rapid identification of flavonoids classes

• Main Authors: Che Noh, Che Hafizah, Mohamed Azmin, Nor Fadhillah, Amid, Azura, Asnawi, Ani Liza
• Format: Conference or Workshop Item
• Language: English
• Published: Kulliyah of Engineering, International Islamic University Malaysia 2016
• Subjects: QK Botany; T Technology (General)
• Online Access: http://irep.iium.edu.my/51673/1/51673.pdf; http://irep.iium.edu.my/51673/
• Institution: Universiti Islam Antarabangsa Malaysia

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.