हमारा समूह 1000 से अधिक वैज्ञानिक सोसायटी के सहयोग से हर साल संयुक्त राज्य अमेरिका, यूरोप और एशिया में 3000+ वैश्विक सम्मेलन श्रृंखला कार्यक्रम आयोजित करता है और 700+ ओपन एक्सेस जर्नल प्रकाशित करता है जिसमें 50000 से अधिक प्रतिष्ठित व्यक्तित्व, प्रतिष्ठित वैज्ञानिक संपादकीय बोर्ड के सदस्यों के रूप में शामिल होते हैं।
ओपन एक्सेस जर्नल्स को अधिक पाठक और उद्धरण मिल रहे हैं
700 जर्नल और 15,000,000 पाठक प्रत्येक जर्नल को 25,000+ पाठक मिल रहे हैं
Madhuri A. Hinge*, Dipti Patel
In the present work, two different spectrophotometric methods for simultaneous estimation of Amlodipine Besylate and Candesartan Cilexetil in bulk and in formulation are described. Overlapped data(spectra) was quantitatively resolved by using two chemometric methods, Inverse least squares (ILS) and Classical least square method (CLS). The Calibration curves were plotted using the absorbance and concentration of the mixed solutions of two drugs. The drugs; Amlodipine Besylate and Candesartan Cilexetil were found to be linear in 5–15 and 8–24 µg/ml range. The data matrix of absorbance was generated by measuring the absorbance in the wavelength range from 300 to 360 nm. A Calibration set composition of the concentration of different mixture of Amlodipine Besylate and Candesartan Cilexetil was assembled in statistical way to optimize the particulate content from the spectra in way to get minimal errors in multivariate calibrations. The algorithms of CLS and ILS were applied to the spectra of the mixture of two drugs in calibration set and a suitable matrix was acquired. The model from CLS and ILS was selected by studying values of RMSEP. Then this algorithms was applied to the prediction set of different mixture of two drugs and marketed formulation. The results of recovery study of the marketed formulation were determined with great sensitivity in terms of limit of detection and limit of quantification. These CLS and ILS methods are validated and proposed methods were successfully employed for analyses of drugs in the mixtures of drugs and formulation.