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New Method for the Determination of Benzoic and Sorbic Acids in Commercial Orange Juices Based on Second-Order Spectrophotometric Data Generated by a pH Gradient Flow Injection Technique

机译:基于pH梯度流动注射技术产生的二阶分光光度法测定商品橙汁中苯甲酸和山梨酸的新方法

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摘要

Two widely employed antimicrobials,benzoic and sorbic acids,were simultaneously determined in commercial orange juices employing a combination of a flow injection system with pH gradient generation,diode array Spectrophotometric detection,and chemometric processing of the recorded second-order data.Parallel factor analysis and multivariate curve resolution-alternating least-squares were used for obtaining the spectral profiles of sample components and concentration profiles as a function of pH,including provisions for managing rank-deficient data sets.An appropriately designed calibration with a nine-sample set of binary mixtures of standards,coupled to the use of the second-order advantage offered by the applied chemometric techniques,allowed quantitation of the analytes in synthetic test samples and also in commercial orange juices,even in the presence of unmodeled interferents (with relative prediction errors of 8.7% for benzoic acid and 2.5% for sorbic acid).No prior separation or sample pretreatment steps were required.The comparison of results concerning commercial samples with a laborious reference technique yielded satisfactory statistical indicators (recoveries were 99.0% for benzoic acid and 101.4% for sorbic acid).
机译:通过将流动注射系统与pH梯度生成,二极管阵列分光光度法检测和化学计量处理记录的二阶数据相结合,在商用橙汁中同时测定了两种广泛使用的抗菌剂苯甲酸和山梨酸。多元曲线分辨率-交替最小二乘用于获得样品成分的光谱图和浓度曲线与pH的函数关系,包括管理等级不足数据集的规定。使用9个样品的二元混合物组进行适当设计的校准标准,再加上应用化学计量学技术提供的二级优势,即使在存在未建模干扰物(相对预测误差为8.7)的情况下,也可以对合成测试样品和商用橙汁中的分析物进行定量%表示苯甲酸,2.5%表示山梨酸)。样品前处理步骤是必需的。使用费力的参考技术对商品样品进行的结果比较得出令人满意的统计指标(苯甲酸的回收率为99.0%,山梨酸的回收率为101.4%)。

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