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Convenient ‘one-step’ extraction method for autonomous sensing of marine algal toxins

机译:方便的“一步法”提取方法,可自动检测海洋藻毒素

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Globally, there is an increasing demand for inexpensive and robust automated environmental monitoring platforms capable of performing analysis with prolonged deployment times. In the marine environment, the ultimate goal of these platforms is to remotely monitor water quality in real-time with a system capable of detecting numerous water quality parameters like nutrient species and the presence of pollutants/contaminants. These self-sustaining platforms allow for regular automated monitoring of selected parameters at remote locations. An autonomous platform is ideal when monitoring such precarious and problematic entities as harmful algal blooms. This research focuses on the challenges surrounding the sample pre-treatment requirements of an autonomous biosensor for the detection of algal toxins specifically Microcystin-LR, and describes the development of a one-step cell lysis procedure using mechanical force by copper beads in a lysing chamber. We report a sample extraction process from seawater samples that require no prior sample clean-up.
机译:在全球范围内,对于能够在较长部署时间内执行分析的廉价且强大的自动化环境监控平台的需求日益增长。在海洋环境中,这些平台的最终目标是使用能够检测多种水质参数(如营养物质和污染物/污染物)的系统实时远程监控水质。这些自我维持的平台允许在远程位置定期自动监视所选参数。当监视不稳定和有问题的实体(例如有害藻华)时,自主平台是理想的选择。这项研究的重点是围绕用于检测藻毒素(尤其是微囊藻毒素-LR)的自主生物传感器的样品预处理要求所面临的挑战,并描述了利用裂解室中铜珠的机械力开发单步细胞裂解程序的过程。 。我们报告了从海水样品中提取样品的过程,该过程不需要事先进行样品净化。

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