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A NOVEL TOXICITY FINGERPRINTING METHOD FOR POLLUTANT IDENTIFICATION WITH lux-MARKED BIOSENSORS

机译:带有勒克斯标记生物传感器的污染物识别的新型毒性指纹识别方法

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摘要

A novel technique is described for the identification and quantification of environmental pollutants based on toxicity fingerprinting with a metabolic lux-marked bacterial biosensor. This method involved characterizing the toxicity-based responses of the biosensor to seven calibration pollutants as acute temporal-dose response fingerprints. An algorithm is described to allow comparisons of responses of an unknown pollutant to be made against the calibration data. This is based on predicting pollutant concentration at each of six different time points over the course of a 5-min assay. If the prediction is consistent between the unknown pollutant and a calibration pollutant at the 95/100 test level, this is considered to be a positive identification.
机译:描述了一种新技术,该技术基于具有代谢勒克斯标记的细菌生物传感器的毒性指纹识别和定量环境污染物。该方法涉及将生物传感器对七种校准污染物的基于毒性的响应表征为急性时间剂量响应指纹。描述了一种算法,可以将未知污染物的响应与校准数据进行比较。这是基于在5分钟的分析过程中预测六个不同时间点的每个污染物的浓度。如果未知污染物与标准污染物在95/100测试水平上的预测是一致的,则认为这是肯定的识别。

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