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Orthogonal Partial Least Squares Model for Rapid Prediction of Antioxidant Activity of Pereskia bleo by Fourier Transform Infrared Spectroscopy
| Content Provider | Semantic Scholar |
|---|---|
| Author | Sharif, K. M. Rahman, Mahmudur Azmir, Jannatul Khatib, Alfi Hadijah, St. Mohamed, Abdelmjeed Sahena, F. Zaidul, I. S. Md. |
| Copyright Year | 2014 |
| Abstract | 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. |
| Starting Page | 2061 |
| Ending Page | 2071 |
| Page Count | 11 |
| File Format | PDF HTM / HTML |
| DOI | 10.1080/00032719.2014.898150 |
| Alternate Webpage(s) | http://irep.iium.edu.my/37116/4/37116_Orthogonal%20Partial%20Least%20Squares%20Model.SCOPUS.pdf |
| Alternate Webpage(s) | https://doi.org/10.1080/00032719.2014.898150 |
| Volume Number | 47 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
