Recognition of chemical compounds in contaminated water using time-dependent multiple dose cellular responses

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• 作者：T.H. Pan^a ; ^b ; ^{thpan@ujs.edu.cn} ; B. Huang^b ; ^{biao.huang@ualberta.ca} ; J.Z. Xing^c ; ^{jzxing@ualberta.ca} ; W.P. Zhang^d ; ^{weiping.zhang@gov.ab.ca} ; S. Gabos^d ; ^{stephan.gabos@gov.ab.ca} ; J. Chen^e ; ^{jchen@ece.ualberta.ca}
• 关键词：Cytotoxicity ; Real-time cell electronic sensor system ; Water protection ; Support vector machine ; Multi-class classification ; Cellular state variable identification
• 刊名：Analytica Chimica Acta
• 出版年：2012
• 期刊代码：2_00032670
• 类别：ch
• 出版时间：29 April, 2012
• 卷：724
• 期：Complete
• 页码：30-39
• 文件大小：652 K

摘要

An early determination of toxicant compounds of water contaminations can gain critical time to protect citizens鈥?health and save substantial amounts of medical costs. To determine toxins in real time, a multi-dose classification algorithm using cellular state variable identification (CSVID) is developed in this paper. First, the dynamic cytotoxicity response profiles of living cells are measured using a real-time cell electronic sensing (RT-CES) system. Changes in cell number expressed as cell index (CI) are recorded on-line as time series. Then CSVID, which reflects the cell killing, cell lysis and certain cellular pathological changes, is extracted from those dynamic cellular responses. Finally, a support vector machine (SVM) algorithm based on CSVID is employed to classify chemical compounds and determine their analogous cellular response pathway. In order to increase the classification accuracy, a majority vote of the class labels is also proposed. Several validation studies demonstrate that CSVID-based classification algorithm has great potential in distinguishing the cytotoxicity response of the cells in the presence of toxins.