Simultaneous spectrophotometric determination of carbidopa and levodopa by partial least squares regression, principal component regression and least squares support vector machine methods

Authors

Kuldeep Kaur
Ashok Kumar
Baldev Singh
M. Godarzi

Abstract

Three chemometric methods; partial least squares regression (PLS), principal component regression (PCR) and least-squares support vector machines (LS-SVM) were applied for simultaneous determination of carbidopa and levodopa in synthetic mixtures and rea...

DOI

10.56808/3027-7922.2190

First Page

123

Last Page

136

Recommended Citation

Kaur, Kuldeep; Kumar, Ashok; Singh, Baldev; and Godarzi, M. (2009) "Simultaneous spectrophotometric determination of carbidopa and levodopa by partial least squares regression, principal component regression and least squares support vector machine methods," The Thai Journal of Pharmaceutical Sciences: Vol. 33: Iss. 4, Article 2.
DOI: https://doi.org/10.56808/3027-7922.2190
Available at: https://digital.car.chula.ac.th/tjps/vol33/iss4/2