Ab'/> Reduction of interferences in the analysis of Children's Dimetapp using ultraviolet spectroscopy data and target factor analysis
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Reduction of interferences in the analysis of Children's Dimetapp using ultraviolet spectroscopy data and target factor analysis

机译:使用紫外光谱数据和目标因子分析减少儿童DiMetApp分析中的干扰

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AbstractA calibration matrix has been developed and successfully applied to quantify actives in Children's Dimetapp?, a cough mixture whose active components suffer from heavy spectral interference. High-performance liquid chromatography/photodiode array instrument was used to identify the actives and any other UV-detectable excipients that might contribute to interferences. The instrument was also used to obtain reference data on the actives, instead of relying on the manufacturer's claims. Principal component analysis was used during the developmental stages of the calibration matrix to highlight any mismatch between the calibration and sample spectra, making certain that “apples” were not compared with “oranges”. The prediction model was finally calculated using target factor analysis and partial least squares regression. In addition to the actives in Children's Dimetapp? (brompheniramine maleate, phenylephrine hydrogen chloride, and dextromethorphan hydrogen bromide), sodium benzoate was identified as the major and FD&C Blue #1, FD&C Red #40, and methyl anthranilate as minor spectral interferences. Model predictions were compared before and after the interferences were included into the calibration matrix. Before including interferences, the following results were obtained: brompheniramine maleate=481.3mgL?1±134% RE; phenylephrine hydrogen chloride=1041mgL?1±107% RE; dextromethorphan hydrogen bromide=1571mgL?1±107% RE, where % RE=percent relative error based on the reference HPLC data. After including interferences, the results were as follows: brompheniramine maleate=196.3mgL
机译:<![cdata [ 抽象 已经开发出校准矩阵并成功应用于在儿童DimetApp中量化活性组成的咳嗽混合物患有沉重的光谱干扰。高效液相色谱/光电二极管阵列仪用于鉴定活性物质和任何可能导致干扰的其他UV可检测的赋形剂。该仪器还用于获得活动的参考数据,而不是依赖制造商的索赔。在校准矩阵的发育阶段使用主成分分析以突出校准和样本光谱之间的任何不匹配,使得“苹果”与“橙子”进行比较。最终使用目标因子分析和局部最小二乘回归来计算预测模型。除了儿童DimetApp中的活动吗? (溴苯胺马来酸盐,苯妥膦氯化氢和右三铬溴化物),苯甲酸钠被鉴定为主要和FD&C蓝色#1,FD&C红色#40,以及作为少量光谱干扰的甲基氨基甲酸甲酯。在将干扰纳入校准矩阵之前和之后比较模型预测。在包括干扰之前,获得以下结果:溴苯胺马来酸= 481.3mgl α1±134%Re;苯肾上氯化氢= 1041mgl Δ1±107%Re;右旋大海酚溴化物= 1571mgl Δ1±107%Re,其中重新=基于参考HPLC数据的相对误差百分比。在包括干扰之后,结果如下:溴苯胺马来酸= 196.3Mgl

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