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Application of smart spectrophotometric methods and artificial neural network for the simultaneous quantitation of olmesartan medoxamil, amlodipine besylate and hydrochlorothiazide in their combined pharmaceutical dosage form

机译:智能分光光度法和人工神经网络在同时定量奥美沙坦,苯磺酸氨氯地平和氢氯噻嗪联合药物剂型中的应用

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Background New, simple and specific spectrophotometric methods and artificial neural network (ANN) were developed and validated in accordance with ICH guidelines for the simultaneous estimation of Olmesartan (OLM), Amlodipine (AML), and Hydrochlorothiazide (HCT) in commercial tablets. Results For spectrophotometric methods: First, Amlodipine (AML) was determined by direct spectrophotometry at 359 nm and by application of the ratio subtraction, the AML spectrum was removed from the mixture spectra. Then Hydrochlorothiazide (HCT) was determined directly at 315 nm without interference from Olmesartan medoxamil (OLM) which could be determined using the isoabsorptive method. The calibration curve is linear over the concentration range of 5–40, 2.5-40 and 2–40 μg mL-1 for AML, OLM and HCT, respectively. ANN (as a multivariate calibration method) was also applied for the simultaneous determination of the three analytes in their combined pharmaceutical dosage form using spectral region from 230–340 nm. Conclusions The proposed methods were successfully applied for the assay of the three analytes in laboratory prepared mixtures and combined pharmaceutical tablets with excellent recoveries. No interference was observed from common pharmaceutical additives. The results were favorably compared with those obtained by a reference spectrophotometric method. The methods are validated according to the ICH guidelines and accuracy, precision and repeatability are found to be within the acceptable limit.
机译:背景技术根据ICH指南,开发,验证了新的,简单而又专门的分光光度法和人工神经网络(ANN),用于同时估算市售片剂中的奥美沙坦(OLM),氨氯地平(AML)和氢氯噻嗪(HCT)。结果对于分光光度法:首先,通过直接分光光度法在359 nm处测定氨氯地平(AML),并通过比例减法从混合物光谱中除去AML光谱。然后直接在315 nm处测定氢氯噻嗪(HCT),而不受奥美沙坦medoxamil(OLM)的干扰,后者可以使用等吸收法测定。对于AML,OLM和HCT,校准曲线分别在5–40、2.5-40和2–40μgmL-1的浓度范围内呈线性。人工神经网络(作为多元校准方法)还用于同时测定三种组合药物剂型中的三种分析物,使用的光谱范围为230-340 nm。结论所提出的方法已成功地用于实验室制备的混合物和复方药物片剂中三种分析物的测定,具有优异的回收率。没有观察到来自普通药物添加剂的干扰。将结果与通过参考分光光度法获得的结果进行了比较。这些方法已根据ICH指南进行了验证,并且准确性,精密度和可重复性均在可接受的范围内。

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