Marsili Nilda R, Lista Adriana, Fernandez Band Beatriz S, Goicoechea Héctor C, Olivieri Alejandro C
Cátedra de Química Analítica, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, Ciudad Universitaria, Santa Fe S3000 CC. 242, Argentina.
J Agric Food Chem. 2004 May 5;52(9):2479-84. doi: 10.1021/jf035362f.
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).
采用流动注射系统与pH梯度生成、二极管阵列分光光度检测相结合,并对记录的二阶数据进行化学计量学处理的方法,同时测定了市售橙汁中两种广泛使用的抗菌剂——苯甲酸和山梨酸。平行因子分析和多元曲线分辨交替最小二乘法用于获取样品成分的光谱轮廓以及作为pH函数的浓度轮廓,包括处理秩亏数据集的方法。使用九组标准二元混合物进行适当设计的校准,并结合所应用化学计量技术提供的二阶优势,即使在存在未建模干扰物的情况下,也能对合成测试样品和市售橙汁中的分析物进行定量(苯甲酸的相对预测误差为8.7%,山梨酸为2.5%)。无需事先进行分离或样品预处理步骤。将商业样品的结果与一种繁琐的参考技术进行比较,得到了令人满意的统计指标(苯甲酸的回收率为99.0%,山梨酸为101.4%)。