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Development of an automated multienzymatic biosensor for risk assessment of pesticide contamination in water and food

机译:研发用于评估水和食品中农药污染风险的自动化多酶生物传感器

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摘要

The goal of this research is to better address the problems related to the widespread presence of pesticides in the environment. Despite the unquestionable utility of the pesticides against various pests in the agricultural field, most pesticides and the corresponding pesticide residues are toxic to the environment and hazardous to human health. The recent literature on organophosphate compounds emphasises a clear correlation between their use and the occurrence of disorders in the nervous system, especially in children. The conventional systems for the detection and analysis of these compounds are expensive, time‐consuming and require highly specialised operators; moreover, no online automated screening systems are yet available, that would allow the identification and quantification of the presence of these chemicals in samples from industrial sectors such as the food industry. Esterase‐based biosensors represent a viable alternative to this problem. In this fellowship programme, we aim to develop a robust and sensitive methodology that enables the screening of toxic compounds using a streamlined process, using an automated robotic system to achieve a continuous monitoring for risk assessment of pesticides.
机译:这项研究的目的是更好地解决与农药在环境中广泛存在有关的问题。尽管杀虫剂毫无疑问地用于农业领域中的各种害虫,但是大多数杀虫剂和相应的杀虫剂残留物对环境有毒并且对人体健康有害。关于有机磷酸酯化合物的最新文献强调其使用与神经系统疾病的发生之间存在明显的相关性,特别是在儿童中。用于检测和分析这些化合物的常规系统昂贵,费时,并且需要高度专业的操作人员。此外,尚无在线自动筛选系统可用于鉴定和定量来自食品等工业部门的样品中这些化学物质的存在。基于酯酶的生物传感器代表了该问题的可行替代方案。在此研究金计划中,我们旨在开发一种强大而灵敏的方法,以简化的过程筛选有毒化合物,并使用自动化机器人系统实现对农药风险评估的连续监控。

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