Simultaneous Determination of Sulfamethoxazole and Trimethoprim Using UV Spectroscopy in Combination with Multivariate Calibration

Abstract

The objective of this study is to evaluate the capability of UV-spectrophotometry in combination of multivariate calibration based on Partial Least Square (PLS) regression for simultaneous quantitative analysis and dissolution evaluation of sulfamethoxazole (SUL) and trimethoprim (TRI) in tablet dosage form. The experimental calibration and validation matrixes were constructed with 20 and 10 samples, respectively. The concentration range considered was 1-16 µg mLG 1 for both SUL and TRI. The absorbance data of the calibration standards were taken between 200-400 nm. For achieving the best calibration model, the related parameters were evaluated. The optimum number of factors was selected by using the cross-validation method. The evaluation of calibration model is relied on the coefficient of determination (R 2 ) and Root Mean Square Error of Calibration (RMSEC). The coefficient of determination (R 2 ) for the relationship between actual values and predicted values of SUL and TRI was higher than 0.99 indicating good accuracy of the developed method. The RMSEC values obtained were relatively low, namely 0.167% (SUL) and 0.279% (TRI), which indicate acceptable precision of analytical method. The accuracy of developed method was comparable to that of High Performance Liquid Chromatography (HPLC) method. The UV spectrophotometry in combination with PLS calibration model was successfully used for quantitative analysis and dissolution studies of SUL and TRI sulfamethoxazole and trimethoprim in tablet dosage form.

The employment of UV-spectroscopy combined with multivariate calibration for analysis of paracetamol, Propyphenazone and caffeine

“…These spectra showed an extensive overlapping which limited the determination of these drugs using UV spectroscopy, simultaneously. Fortunately, some chemometrics techniques like multivariate calibration of partial least square (PLS) are developed to overcome this problem (Mohamed and Mikre, 2009;Rohman et al, 2015). Analysis of drugs in multicomponent system aided with multivariate calibration is done in three separate steps, namely calibration, validation, and analysis of unknown samples.…”

Simultaneous Determination of Paracetamol, Guaiphenesin and Chlorpheniramine Maleate Using Ultraviolet Spectroscopy in Combination with Multivariate Calibration

“…2: Overlay of UV spectra of paracetamol, guaiphenesin and chlopheniramine maleate and phenylpropanolamine HCl drugs using UV spectrophotometry without any treatment. Some efforts have been tried to solve this problems such as the use of H-point standard addition methods (Sabry and Khamis, 2000), treatment of UV spectra such as derivative spectra (Tomsu et al, 2004;Palabiyik et al, 2004) and the use of chemometrics of multivariate calibration (Rohman, 2012;Rohman et al, 2015). Multivariate calibration using principle component regression and partial least square are reported to overcome the spectral overlapping to facilitate calibration models (Marwada et al, 2014;Mohamed and Mikre, 2009).…”

“…Such methods are high performance liquid chromatography (Akhtar et al, 1994;Deconinck et al, 2011), gas chromatography (Harsono et al, 2005), FTIR spectrophotometry (Mallah et al, 2012), cyclic voltametry (Teixeira et al, 2009) and derivative spectrophotometry (Deshpande et al, 2012). Some of these methods are time consuming and requiring sophisticated instrument (Rohman et al, 2015), therefore, UV-vis spectrophotometry is continuously developed to overcome these difficulties.…”

“…Currently, the application of chemometric techniques, especially multivariate calibrations are playing a very important role in the multicomponent analysis of pharmaceutical mixtures (De Luca et al, 2009;Rohman et al, 2015). Some multivariate calibrations such as Principal Component Regression (PCR), Stepwise Multiple Linear Regression (SMLR) and Partial Least Squares (PLS) are the most adopted multivariate methods in pharmaceutical analysis and are frequently used for instrumental methods withouut separation techniques like ultraviolet and infrared spectroscopies (Rohman, 2012;El-Gindy et al, 2006).…”

The Application of Molecular Spectroscopy in Combination with Chemometrics for Halal Authentication Analysis: A Review

“…Various multivariate calibrations have been used for quantitative analysis of non-halal components, including stepwise multiple linear regression (SMLR), principal component regression (PCR), and partial least square regression (PLSR) [ 39 ]. These calibrations are considered as inverse calibration in which concentrations (in the y -axis) are modeled using absorbances at several wavelengths/wavenumbers ( x -axis) [ 40 ]. The accuracy of calibration and validation models using multivariate calibration was evaluated by the coefficient of determination (R 2 ) for the relationship between two variables, while the precision of models was assessed by the root mean square error of calibration ( RMSEC ) and root mean square error of prediction ( RMSEP ).…”