Comparison of Partial Least Squares and Artificial Neural Network for the prediction of antioxidant activity in extract of pegaga (centella) varieties from 1H Nuclear Magnetic Resonance spectroscopy.

Comparison of Partial Least Squares and Artificial Neural Network for the prediction of antioxidant activity in extract of pegaga (centella) varieties from 1H Nuclear Magnetic Resonance spectroscopy.

Multivariate data analysis of 1H Nuclear Magnetic Resonance spectra was applied for the prediction of antioxidant activity in five different Pegaga (C. asiatica (var 1), C. asiatica (var 2), C. asiatica (var 3) H. bonariensis and H. sibthorpioides) varieties. Linear (Partial Least Square regression)...

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Bibliographic Details
Main Authors: Maulidiani, Abas, Faridah, Khatib, Alfi, Shitan, Mahendran, Shaari, Khozirah, Lajis, Nordin
Format: Article
Language:English
Published: Elsevier 2013
Online Access:http://psasir.upm.edu.my/id/eprint/30495/
http://psasir.upm.edu.my/id/eprint/30495/1/Comparison%20of%20Partial%20Least%20Squares%20and%20Artificial%20Neural%20Network%20for%20the%20prediction%20of%20antioxidant%20activity%20in%20extract%20of%20pegaga.pdf

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