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

Analytica Chimica Acta

Volumn 724, Issue , 2012, Pages 30-39

  Pan, T H ^a,b   Huang, B ^b   Xing, J Z ^b   Zhang, W P ^c   Gabos, S ^c   Chen, J ^b  

^a JIANGSU UNIVERSITY   (China)

^b UNIVERSITY OF ALBERTA   (Canada)

^c Alberta Health and Wellness   (Canada)

Author keywords

Cellular state variable identification; Cytotoxicity; Multi class classification; Real time cell electronic sensor system; Support vector machine; Water protection

Indexed keywords

CELL KILLING; CELL LYSIS; CELL NUMBER; CELLULAR RESPONSE; CELLULAR STATE; CLASS LABELS; CLASSIFICATION ACCURACY; CLASSIFICATION ALGORITHM; CONTAMINATED WATER; CRITICAL TIME; LIVING CELL; MAJORITY VOTE; MULTI-CLASS CLASSIFICATION; MULTIPLE-DOSE; PATHOLOGICAL CHANGES; REAL TIME; REAL-TIME CELL ELECTRONIC SENSING; REAL-TIME CELL ELECTRONIC SENSOR SYSTEM; RESPONSE PROFILE; SUPPORT VECTOR MACHINE (SVM); SUPPORT VECTOR MACHINE ALGORITHM; TIME-DEPENDENT; VALIDATION STUDY; WATER CONTAMINATION; WATER PROTECTION;

ALGORITHMS; CELLS; CHEMICAL COMPOUNDS; CHEMICALS; CYTOLOGY; CYTOTOXICITY; METABOLITES; SUPPORT VECTOR MACHINES;

BIOINFORMATICS;

1 NAPHTHOL; ANTHRACENE; CHEMICAL COMPOUND; METHYLMERCURY; NAPHTHENIC ACID; PYRENE; UNCLASSIFIED DRUG;

ACCURACY; ARTICLE; CELL KILLING; CELL VIABILITY; CELLULAR STATE VARIABLE IDENTIFICATION ALGORITHM; CLASSIFICATION ALGORITHM; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; CYTOLYSIS; CYTOTOXICITY TEST; LINEAR SYSTEM; MATHEMATICAL ANALYSIS; MATHEMATICAL MODEL; MOLECULAR RECOGNITION; POLLUTION MONITORING; PREDICTION; PRIORITY JOURNAL; PROCESS DEVELOPMENT; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE; VALIDATION PROCESS; WATER ANALYSIS; WATER CONTAMINATION; WATER POLLUTANT;

ANIMALS; BIOSENSING TECHNIQUES; CELL COUNT; CELL DEATH; CELL SURVIVAL; ELECTRONICS; METHYLMERCURY COMPOUNDS; MICE; NIH 3T3 CELLS; POLYCYCLIC HYDROCARBONS, AROMATIC; SUPPORT VECTOR MACHINES; TIME FACTORS; WATER POLLUTANTS, CHEMICAL;

EID: 84862798392     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2012.03.001     Document Type: Article

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