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Orthogonal partial least squares model for rapid prediction of antioxidant activity of Pereskia bleo by fourier transform infrared spectroscopy

Sharif, K. M. and Rahman, Md. Mokhlesur and Azmir, Jannatul and Khatib, Alfi and Shamsudin, Siti Hadijah and Mohamed, A. and Ferdosh, Sahena and Sarker, Md. Zaidul Islam (2014) Orthogonal partial least squares model for rapid prediction of antioxidant activity of Pereskia bleo by fourier transform infrared spectroscopy. Analytical letters, 47 (12). pp. 2061-2071. ISSN 0003-2719

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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.

Item Type: Article (Journal)
Additional Information: 6605/37116
Uncontrolled Keywords: Antioxidant activity, Fourier transform infrared spectroscopy, Orthogonal partial least squares, Pereskia bleo
Subjects: Q Science > QD Chemistry
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Pharmacy > Department of Pharmaceutical Chemistry
Kulliyyah of Pharmacy > Department of Pharmaceutical Technology
Kulliyyah of Science > Department of Plant Science
Depositing User: Professor Dr. Md. Zaidul Islam Sarker
Date Deposited: 08 Jul 2014 09:19
Last Modified: 19 Jun 2018 14:28
URI: http://irep.iium.edu.my/id/eprint/37116

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