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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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
Kulliyah of Engineering, International Islamic University Malaysia
2016
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| Online Access: | http://irep.iium.edu.my/51673/ http://irep.iium.edu.my/51673/1/51673.pdf |
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| author | Che Noh, Che Hafizah Mohamed Azmin, Nor Fadhillah Amid, Azura Asnawi, Ani Liza |
| author_facet | Che Noh, Che Hafizah Mohamed Azmin, Nor Fadhillah Amid, Azura Asnawi, Ani Liza |
| author_sort | Che Noh, Che Hafizah |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T16:28:46Z |
| format | Proceeding Paper |
| id | iium-51673 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T16:28:46Z |
| publishDate | 2016 |
| publisher | Kulliyah of Engineering, International Islamic University Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-516732017-07-12T04:38:54Z http://irep.iium.edu.my/51673/ Application of multivariate data analysis for rapid identification of flavonoids classes Che Noh, Che Hafizah Mohamed Azmin, Nor Fadhillah Amid, Azura Asnawi, Ani Liza QK Botany T Technology (General) 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. Kulliyah of Engineering, International Islamic University Malaysia 2016 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/51673/1/51673.pdf 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. |
| spellingShingle | QK Botany T Technology (General) Che Noh, Che Hafizah Mohamed Azmin, Nor Fadhillah Amid, Azura Asnawi, Ani Liza Application of multivariate data analysis for rapid identification of flavonoids classes |
| title | Application of multivariate data analysis for rapid identification of flavonoids classes |
| title_full | Application of multivariate data analysis for rapid identification of flavonoids classes |
| title_fullStr | Application of multivariate data analysis for rapid identification of flavonoids classes |
| title_full_unstemmed | Application of multivariate data analysis for rapid identification of flavonoids classes |
| title_short | Application of multivariate data analysis for rapid identification of flavonoids classes |
| title_sort | application of multivariate data analysis for rapid identification of flavonoids classes |
| topic | QK Botany T Technology (General) |
| url | http://irep.iium.edu.my/51673/ http://irep.iium.edu.my/51673/1/51673.pdf |