Naseri Abdolhossein, Ghorbani-Kalhor Ebrahim, Vallipour Javad, Jafari Samira, Shahverdizadeh Gholam Hossein, Asadpour-Zeynali Karim
Islamic Azad University, Faculty of Science, Department of Chemistry, Tabriz Branch, Tabriz, PO Box 1655, Iran.
J AOAC Int. 2009 Nov-Dec;92(6):1807-14.
The net analyte preprocessing/classical least-squares (NAP/CLS) method is a simple chemometric method that has been used for the simultaneous spectrophotometric determination of benzoic acid, sorbic acid, and ascorbic acid. The obtained results indicated that the performances of the NAP/CLS and partial least-squares methods were almost identical. The net analyte signal (NAS) concept was also used to calculate multivariate analytical figures of merit, such as LOD, selectivity, and sensitivity. Wavelength selection was applied based on the concept of NAS regression, and improved the method performance in samples containing nonmodeled interferences. The method afforded recoveries in the range of 98-105%. The proposed method was successfully applied to determination of the analytes in an Iranian soft drink.
净分析物预处理/经典最小二乘法(NAP/CLS)是一种简单的化学计量学方法,已用于同时分光光度法测定苯甲酸、山梨酸和抗坏血酸。所得结果表明,NAP/CLS方法和偏最小二乘法的性能几乎相同。净分析物信号(NAS)概念也用于计算多变量分析的品质因数,如检测限、选择性和灵敏度。基于NAS回归概念进行波长选择,提高了该方法在含有未建模干扰物样品中的性能。该方法的回收率在98%至105%之间。所提出方法成功应用于伊朗软饮料中分析物的测定。