title: Recognition of chemical compounds in contaminated water using time-dependent multiple dose cellular responses.
abstract: 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.affiliation: School of Electrical and Information Engineering, Jiangsu University, Zhenjiang, Jiangsu, China. thpan@ujs.edu.cn
authors.forename: T H
authors.initials: TH
authors.lastname: Pan
authors.forename: B
authors.initials: B
authors.lastname: Huang
authors.forename: J Z
authors.initials: JZ
authors.lastname: Xing
authors.forename: W P
authors.initials: WP
authors.lastname: Zhang
authors.forename: S
authors.initials: S
authors.lastname: Gabos
authors.forename: J
authors.initials: J
authors.lastname: Chen
mesh_terms: D000818:Animals; D015374:Biosensing Techniques / Q000379:methods*; D002452:Cell Count; D016923:Cell Death / Q000187:drug effects; D002470:Cell Survival / Q000187:drug effects; D004581:Electronics; D008767:Methylmercury Compounds / Q000032:analysis* / Q000633:toxicity; D051379:Mice; D041681:NIH 3T3 Cells; D011084:Polycyclic Aromatic Hydrocarbons / Q000032:analysis* / Q000633:toxicity; D060388:Support Vector Machine; D013997:Time Factors; D014874:Water Pollutants, Chemical / Q000032:analysis* / Q000633:toxicity
chemical_list: D008767:Methylmercury Compounds; D011084:Polycyclic Aromatic Hydrocarbons; D014874:Water Pollutants, Chemical