Principal component analysis application on flavonoids characterization
Flavonoid is one of the bioactive compounds that are currently used in pharmaceutical and medicinal industries due to their health benefit. The focus of current research is mainly on the extraction and isolation of bioactive compounds; however non to date has explored on the identification of fla...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Thomson Reuters
2017
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/59897/1/ASTESJ_PCA%20Application%20on%20Flavonoids%20Characterization.pdf http://irep.iium.edu.my/59897/ https://astesj.com/v02/i03/p56/ |
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| Summary: | Flavonoid is one of the bioactive compounds that are currently used in pharmaceutical and
medicinal industries due to their health benefit. The focus of current research is mainly on
the extraction and isolation of bioactive compounds; however non to date has explored on
the identification of flavonoids classes under the Fourier Transform Infrared spectroscopy
(FTIR). This gap presents an opportunity for the application of statistical analysis which
can identify the distinct wavenumbers range of flavone, flavanone and flavonol for their
characterization in the FTIR spectrum. Development of algorithm based on principal
component analysis (PCA) for the analysis and identification of flavonoids classes based
on FTIR spectrum was introduced. Based on the results, five wavenumbers ranges have
been identified as the distinct characteristics of flavonol, flavone and flavanone hence used
for their identification. |
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