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    
Abstract/OtherAbstract:
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.
Authors:
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.
Affiliation:
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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