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Convenient 'One-step' extraction method for autonomous sensing of marine algal toxins

机译：方便的“一步”提取方法，用于海藻毒素的自主传感

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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，对能够使用长时间部署时间进行分析的廉价且强大的自动化环境监测平台的需求越来越大。在海洋环境中，这些平台的最终目标是使用能够检测营养物种（如污染物/污染物）等众多水质参数的系统远程监测水质。这些自维持平台允许定期自动监控远程位置的选定参数。自主平台在监测这种不稳定和有问题的实体时是有害藻类绽放的理想选择。本研究侧重于围绕自主生物传感器的样本预处理要求的挑战，用于检测藻类毒素，具体微囊藻毒素-1R，并描述使用裂解室中的铜珠的机械力的一步细胞裂解方法的开发。我们报告了从不需要先前样品清理的海水样本中提取样品提取过程。

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