CRAMSS, Faculty of Applied Sciences, University of the West of England, Coldharbour Lane, Frenchay, Bristol BS16 1QY, UK.
Biosens Bioelectron. 2011 Feb 15;26(6):2847-51. doi: 10.1016/j.bios.2010.11.018. Epub 2010 Nov 21.
Organophosphate pesticides present serious risks to human and environmental health. A rapid reliable, economical and portable analytical system will be of great benefit in the detection and prevention of contamination. A biosensor array based on six acetylcholinesterase enzymes for use in a novel automated instrument incorporating a neural network program is described. Electrochemical analysis was carried out using chronoamperometry and the measurement was taken 10s after applying a potential of 0 V vs. Ag/AgCl. The total analysis time for the complete assay was less than 6 min. The array was used to produce calibration data with six organophosphate pesticides (OPs) in the concentration range of 10(-5) M to 10(-9) M to train a neural network. The output of the neural network was subsequently evaluated using different sample matrices. There were no detrimental matrix effects observed from water, phosphate buffer, food or vegetable extracts. Furthermore, the sensor system was not detrimentally affected by the contents of water samples taken from each stage of the water treatment process. The biosensor system successfully identified and quantified all samples where an OP was present in water, food and vegetable extracts containing different OPs. There were no false positives or false negatives observed during the evaluation of the analytical system. The biosensor arrays and automated instrument were evaluated in situ in field experiments where the instrument was successfully applied to the analysis of a range of environmental samples. It is envisaged that the analytical system could provide a rapid detection system for the early warning of contamination in water and food.
有机磷农药对人类和环境健康构成严重威胁。快速、可靠、经济且便携的分析系统对于检测和防止污染将非常有益。本文描述了一种基于 6 种乙酰胆碱酯酶的生物传感器阵列,用于一种新型自动化仪器,该仪器结合了神经网络程序。电化学分析采用计时安培法进行,在施加 0 V 对 Ag/AgCl 的电势 10s 后进行测量。完整分析的总分析时间少于 6 分钟。该阵列用于产生校准数据,其中包括浓度范围为 10(-5) M 至 10(-9) M 的 6 种有机磷农药 (OPs),以训练神经网络。随后使用不同的样品基质评估神经网络的输出。从水、磷酸盐缓冲液、食物或蔬菜提取物中未观察到有害的基质效应。此外,传感器系统不受取自水处理过程各个阶段的水样含量的不利影响。该生物传感器系统成功识别和定量了水中、食物和蔬菜提取物中存在 OP 的所有样品。在分析系统的评估过程中,未观察到假阳性或假阴性。在现场实验中对生物传感器阵列和自动化仪器进行了原位评估,该仪器成功应用于一系列环境样品的分析。预计该分析系统可以为水污染和食品安全提供快速检测系统,实现早期预警。