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首页> 外文期刊>Spectrochimica acta, Part A. Molecular and biomolecular spectroscopy >Three-way analysis of pH-UV absorbance dataset for the determination of paracetamol and its pKa value in presence of excipients
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Three-way analysis of pH-UV absorbance dataset for the determination of paracetamol and its pKa value in presence of excipients

机译:PH-UV吸光度数据集的三向分析,用于在赋形剂存在下测定扑热息痛及其PKA值

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摘要

A three-way analysis method, parallel factor analysis (PARAFAC) model was applied to the pH-absorbance dataset for the simultaneous determination of paracetamol and its acid-base dissociation constant in presence of excipient interference in a syrup formulation without using chemical pretreatment or chromatographic separation step. The UV spectroscopic data matrices of calibration set, validation and unknown samples were obtained from the absorbance measurements at the five different pH media, considering conjugate acid/base properties of the related drug. Their pH-absorbance data matrices were arranged as a cubic data array (wave-length x sample x pH) (425x52x5). Three-way array of pH-absorbance dataset was decomposed into a trilinear set of spectral, pH and relative concentration profiles of paracetamol and excipients in the commercial syrup using PARAFAC model. In the PARAFAC implementation, paracetamol in the commercial syrup formulation and its pKa value were simultaneously predicted from the relative concentration and pH profiles, respectively. In the method validation step of this study, the performance of PARAFAC model was checked by analyzing the validation samples in terms of selectivity, sensitivity, accuracy and precision of the method. The determination results of paracetamol and its pKa value provided from PARAFAC application were compared to those obtained by a newly developed ultra-performance liquid chromatography (UPLC) method, in terms of simplicity, applicability, interpretability with low cost and short analysis time. (C) 2020 Elsevier B.V. All rights reserved.
机译:一种三通分析方法,将平行因子分析(PARAFAC)模型应用于pH吸收数据集,以在糖浆制剂中的赋形剂干扰存在下同时测定扑热酰胺和其酸碱解离常数,而不使用化学预处理或色谱分离步骤。考虑到相关药物的缀合物/基础性质,从五种不同pH培养基的吸光度测量获得校准组,验证和未知样品的UV光谱数据矩阵。它们的pH吸收数据矩阵被布置为立方数据阵列(波长X样本x pH)(425x52x5)。使用PARAFAC模型将三通阵列的pH吸收数据集分解成三对乙酰氨基酚和寄生糖浆中的扑热息痛和辅料的相对浓度谱。在PARAFAC实施中,同时从相对浓度和pH谱预测商业糖浆制剂中的扑热息痛及其PKA值。在本研究的方法验证步骤中,通过在方法的选择性,灵敏度,准确度和精度方面分析验证样本来检查PARAFAC模型的性能。比较ParafacAc申请提供的扑热酰胺的测定结果与通过新开发的超高效液相色谱(UPLC)方法获得的那些,以简单,适用性,具有低成本和短分析时间的解释性。 (c)2020 Elsevier B.v.保留所有权利。

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