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.

• 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/30495/1/Comparison%20of%20Partial%20Least%20Squares%20and%20Artificial%20Neural%20Network%20for%20the%20prediction%20of%20antioxidant%20activity%20in%20extract%20of%20pegaga.pdf; http://psasir.upm.edu.my/id/eprint/30495/
• Institution: Universiti Putra Malaysia

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)...