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Journal of Applied Sciences
  Year: 2012 | Volume: 12 | Issue: 7 | Page No.: 687-692
DOI: 10.3923/jas.2012.687.692
 
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Development of Analytical Method Using Classical Regression Technique
Jasbir Singh, Harmeet Kaur and Sunil Gupta

Abstract:
The study was oriented towards development of analytical method and prediction of real relationship between absorbance and concentration variables while conforming to validation parameters. Seven compositions, A1, A2, A3, B1, B2, B3, C containing different ratios of model drug (ofloxacin) and polymers (HPMC and sodium alginate) were used to prepare ofloxacin composition solutions of 5 μg mL-1 in Simulated Gastric Fluid (SGF, pH 1.2), buffer (pH 6.2) and Simulated Intestinal Fluid (SIF, pH 7.5). Similarly, ofloxacin solutions of 2, 4, 5, 6 and 8 μg mL-1 were also prepared. The method was assessed with respect to (w.r.t.) all requisite principle parameters like specificity, precision, range and inter/intra-day variations alongwith linearity/non-linearity (model generation) and balancing of the variance at various concentration levels. The specificity was notified from constant absorbance and non-shifting absorbance wavelength maxima (λmax) of unspiked and spiked samples. The RSD value <5.0% for absorbance readings of various samples, prepared at different times, expressed the precision and inter/intra-day variations within the limits. The absorbance values within 0.2-0.8 for 2-8 μg mL-1 concentrations in different media satisfied the concentration range for analysis. For standard plots, equation yi = β1Xi+ei (Model 2 or equation 3) was sorted as final equation on basis of model selection scheme (Scheme 1). For balancing variance, weight=1/conc.2 was found best on basis of weight selection scheme (Scheme 2). The classical approach predicted the real relationship between concentration and absorbance values and can be applied similarly to other spectroscopic techniques for analytical methods development.
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How to cite this article:

Jasbir Singh, Harmeet Kaur and Sunil Gupta, 2012. Development of Analytical Method Using Classical Regression Technique. Journal of Applied Sciences, 12: 687-692.

DOI: 10.3923/jas.2012.687.692

URL: https://scialert.net/abstract/?doi=jas.2012.687.692

 
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