Laboratorio de Sensores y Biosensores, Cátedra de Química Analítica I, Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, 3000 Santa Fe, Argentina.
Talanta. 2013 Mar 15;106:399-407. doi: 10.1016/j.talanta.2013.01.024. Epub 2013 Jan 20.
An approach based on the electrochemical detection of the horseradish peroxidase enzymatic reaction by means of square wave voltammetry was developed for the determination of phenolic compounds in environmental samples. First, a systematic optimization procedure of three factors involved in the enzymatic reaction was carried out using response surface methodology through a central composite design. Second, the enzymatic electrochemical detection coupled with a multivariate calibration method based in the partial least-squares technique was optimized for the determination of a mixture of five phenolic compounds, i.e. phenol, p-aminophenol, p-chlorophenol, hydroquinone and pyrocatechol. The calibration and validation sets were built and assessed. In the calibration model, the LODs for phenolic compounds oscillated from 0.6 to 1.4 × 10(-6) mol L(-1). Recoveries for prediction samples were higher than 85%. These compounds were analyzed simultaneously in spiked samples and in water samples collected close to tanneries and landfills.
基于辣根过氧化物酶酶反应的电化学检测,采用方波伏安法,开发了一种用于测定环境样品中酚类化合物的方法。首先,通过中心组合设计,使用响应面法对酶反应中涉及的三个因素进行了系统的优化。其次,对基于偏最小二乘技术的多元校准方法的酶电化学检测进行了优化,以测定五种酚类化合物的混合物,即苯酚、对氨基酚、对氯苯酚、氢醌和邻苯二酚。建立并评估了校准集和验证集。在校准模型中,酚类化合物的检出限在 0.6 到 1.4×10(-6)mol L(-1)之间波动。预测样品的回收率高于 85%。这些化合物在加标样品和从制革厂和垃圾填埋场附近采集的水样中被同时分析。