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Net analyte signal based interferent modelling (NAS-IM) for solving matrix effects and unknown spectral interferents

机译:基于净分析物信号的干扰物建模(NAS-IM),用于解决基质效应和未知光谱干扰物

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摘要

Processing of the standard addition data by using the net analyte signal (NAS) was introduced for analyte determination in the presence of matrix effects and spectral interference caused by unknown interferent(s). For solving matrix effects, standard addition was employed. By defining a vector which is the NAS for unit concentration of the analyte and correction of the analyte and the sample spectra for it, it was possible to obtain the spectrum of the unknown interferent(s). By using this method, a good estimate of the spectrum of the unknown interferent(s) was recovered. Both simulated and real data were employed to show the validity of the proposed method. Analysis of the simulated data by the proposed method showed that it is possible to resolve a good estimate of the spectrum of the unknown interferent(s) even in cases where the signal of the interferent(s) is up to 120% of the signal of the analyte with extreme overlapping of the spectra. In the next step, the resolved spectrum of the interferent(s) and the spectrum of the analyte were used to determine the analyte concentration by H-point standard addition. Real data were acquired from the standard addition of carvedilol to urine and standard addition of benzoate to a soft drink.
机译:在存在基质效应和未知干扰物引起的光谱干扰的情况下,引入了通过使用净分析物信号(NAS)处理标准添加数据来进行分析物测定的方法。为了解决基质效应,采用了标准添加。通过定义一个矢量,该矢量是用于分析物单位浓度的NAS并对其进行分析物和样品光谱的校正,可以获得未知干扰物的光谱。通过使用此方法,可以很好地估计未知干扰物的光谱。仿真和实测数据均被用来证明所提方法的有效性。通过所提出的方法对模拟数据进行分析表明,即使在干扰物信号高达信号强度的120%的情况下,也可以解析未知干扰物光谱的良好估计。与光谱极端重叠的分析物。在下一步中,将被分析物的分辨光谱和分析物的光谱用于通过添加H点标准液来确定分析物浓度。从尿液中标准添加卡维地洛和软饮料中标准添加苯甲酸酯获得实际数据。

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