Document Detail

Recognition of chemical compounds in contaminated water using time-dependent multiple dose cellular responses.
MedLine Citation:
PMID:  22483206     Owner:  NLM     Status:  In-Data-Review    
An early determination of toxicant compounds of water contaminations can gain critical time to protect citizens' 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.
T H Pan; B Huang; J Z Xing; W P Zhang; S Gabos; J Chen
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Publication Detail:
Type:  Journal Article     Date:  2012-03-08
Journal Detail:
Title:  Analytica chimica acta     Volume:  724     ISSN:  1873-4324     ISO Abbreviation:  Anal. Chim. Acta     Publication Date:  2012 Apr 
Date Detail:
Created Date:  2012-04-09     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0370534     Medline TA:  Anal Chim Acta     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  30-9     Citation Subset:  IM    
Copyright Information:
Copyright © 2012 Elsevier B.V. All rights reserved.
School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China; Department of Chemical and Material Engineering, University of Alberta, Edmonton, Alberta T6G 2G6, Canada.
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