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首页> 外文期刊>Analytical Letters >Simultaneous Spectrofluorimetric Determination of Paracetamol and Caffeine in Pharmaceutical Preparations in Solid-Phase Using Partial Least Squares Multivariate Calibration
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Simultaneous Spectrofluorimetric Determination of Paracetamol and Caffeine in Pharmaceutical Preparations in Solid-Phase Using Partial Least Squares Multivariate Calibration

机译:偏最小二乘多元校正同时荧光光谱法测定固相药物制剂中扑热息痛和咖啡因

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摘要

Partial least-squares algorithm (PLS)-1 was used for the solid-phase spectrofluorimetric determination of paracetamol (PA) and caffeine (CF) in pharmaceutical formulations.In despite of the closely overlapping spectral bands,the method allows the simultaneous quantification and sample preparation prior to analysis is not required.The calibration set consisted of 96 samples with 100-400 mg/g~(-1) PA plus 10-65 mg/g~(-1) CF;another set of 25 samples was used for external validation.Agreement between predicted and experimental concentrations was fair (r=0.993 and 0.964 for PA and CF models).Prediction performance was evaluated in terms of the coefficient of variability (CV),relative predictive determination (RPD),and ratio error range (RER).The PLS-1 model was used for the determination of PA and CF in pharmaceutical formulations.
机译:偏最小二乘算法(PLS)-1用于固相荧光法测定药物制剂中的扑热息痛(PA)和咖啡因(CF)。尽管光谱带紧密重叠,该方法仍可同时进行定量和样品分析校正组由96个样品组成,其中100-400 mg / g〜(-1)PA加10-65 mg / g〜(-1)CF;另一组25个样品用于外部验证。预测浓度与实验浓度之间的一致性是公允的(对于PA和CF模型,r分别为0.993和0.964)。根据变异系数(CV),相对预测测定(RPD)和比率误差范围评估了预测性能(RER).PLS-1模型用于测定药物制剂中的PA和CF.

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