Chemometric Assisted Simultaneous Analysis of Verapamil Hydrochloride, Gliclazide and Simvastatin in Bulk Drug and Fixed Dose Combinatinos (polypill) - A Futuristic Approach
Rahul Bhaskar, Radhika Bhaskar, Mahendra K. Sagar, Vipin Saini and Krishnamoorthy Bhat
Affiliation: Department of Pharmacy, Mahatma Jyoti Rao Phoole University, Jaipur, India.
Keywords: Partial least square, principle component regression, verapamil hydrochloride, gliclazide, simvastatin, multivariate
In this study, the simultaneous determination of verapamil hydrochloride, gliclazide and simvastatin in pharmaceuticals
by chemometric approaches using UV spectrophotometry has been reported. Spectra of verapamil hydrochloride,
gliclazide and simvastatin were recorded at several concentrations within their linear ranges and were used to compute the
calibration mixture between wavelength range of 200 and 400 nm at an interval of 3 nm in pH 6.8 phosphate buffer containing
0.5% sodium lauryl sulphate (SLS). Partial least squares regression (PLS) and principle component regression
(PCR) were used for chemometric analysis of the data. The analytical performances of these chemometric methods were
characterized by relative prediction errors and recoveries (%) and were compared with each other. These two methods
were successfully applied to pharmaceutical formulation, tablet, with no interference from excipients as indicated by the
recovery study results. The proposed methods are simple, rapid and can be easily used as an alternative analysis tool in the
quality control of drugs and formulation.
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