Department of Agro-food, Institute of Crystallography, 00015 Monterontodo Scalo, Rome, Italy.
J Agric Food Chem. 2010 May 26;58(10):5982-90. doi: 10.1021/jf9027602.
Millions of tons of pesticides are applied worldwide annually in agriculture. Among them, herbicides such as triazines and ureas, originating from agricultural runoff, can contaminate soils and surface and ground waters with severe toxic effects on humans. Nowadays, different analytical techniques are available for the detection of these chemicals; however, most of them are expensive and time-consuming, especially in the case of routine analyses. For this reason, on the basis of results collected through many years of experience in the field of photosynthetic organisms, we designed a biosensor platform intended for the easy, low-cost, and fast prescreening of photosynthetic herbicides. The platform combines the possibilities of amperometric and optical transduction systems, which have proven to be highly sensitive (limits of detection = 10(-10)-10(-8) M). The use of genetically modified algae strengthens the power of the platform, allowing different subclasses of herbicides to be recognized. The system has been validated for the analysis of environmental water and is proposed to support laboratories involved in the control of water pollution.
全球每年在农业中使用数百万吨的农药。其中，三嗪类和脲类除草剂等源自农业径流，可能会污染土壤和地表水及地下水，并对人类产生严重的毒害作用。如今，已有多种分析技术可用于这些化学物质的检测；然而，它们大多数都既昂贵又耗时，特别是在例行分析的情况下。出于这个原因，基于我们在光合作用生物体领域多年积累的经验，我们设计了一个生物传感器平台，旨在方便、低成本、快速地预筛选光合作用除草剂。该平台结合了电流和光学转换系统的可能性，这些系统已被证明具有很高的灵敏度（检测限=10(-10)-10(-8) M）。使用基因改造藻类增强了该平台的实力，使其能够识别不同类别的除草剂。该系统已经过环境水样分析的验证，并提议为参与水污染控制的实验室提供支持。
