Application of multivariate data analysis for rapid identification of flavonoids classes
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...
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| Main Authors: | , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Kulliyah of Engineering, International Islamic University Malaysia
2016
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/51673/1/51673.pdf http://irep.iium.edu.my/51673/ |
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| Institution: | Universiti Islam Antarabangsa Malaysia |
| Language: | English |
| Summary: | 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. |
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