Orthogonal partial least squares model for rapid prediction of antioxidant activity of Pereskia bleo by fourier transform infrared spectroscopy
Pereskia bleo is a species of primitive cactus. In the present study, infrared spectroscopy was used to characterize the antioxidant activity of P. bleo leaves by multivariate analysis. A total of twenty-four extracts were prepared in different solvents. Antioxidant activities were measured by 1,1-d...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
Taylor & Francis Inc.
2014
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/37116/ http://irep.iium.edu.my/37116/ http://irep.iium.edu.my/37116/ http://irep.iium.edu.my/37116/1/Analytical_letter_Sharif-2014.pdf http://irep.iium.edu.my/37116/4/37116_Orthogonal%20Partial%20Least%20Squares%20Model.SCOPUS.pdf |
| Summary: | Pereskia bleo is a species of primitive cactus. In the present study, infrared spectroscopy was used to characterize the antioxidant activity of P. bleo leaves by multivariate analysis. A total of twenty-four extracts were prepared in different solvents. Antioxidant activities were measured by 1,1-diphenyl-2-picrylhydrazyl assay and fingerprinted by infrared spectroscopy between 4000 and 400 cm−1 at a resolution of 2 cm−1. A three component multivariate orthogonal partial least squares model with R2Y of 0.88 and Q2 of 0.86 was developed to correlate infrared spectra with antioxidant activity and evaluated by internal cross-validation and a true external test. For external validation, bioactivity of new extracts of P. bleo was predicted using the model, and -OH, -NH, and -CH were identified as functional groups responsible for the activity. In summary, a successful orthogonal partial least squares model was developed using infrared spectroscopy as a rapid method to predict antioxidant activity. |
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