Principal component analysis and quantitative image analysis to predict effects of toxics in anaerobic granular sludge

Bioresource Technology

Volumn 100, Issue 3, 2009, Pages 1180-1185

  Costa, J C ^a   Alves, M M ^a   Ferreira, E C ^a  

^a UNIVERSITY OF MINHO   (Portugal)

Author keywords

Detergent; Principal component analysis; Quantitative image analysis; Solvent; Toxic shock load

Indexed keywords

DETERGENTS; GRANULAR MATERIALS; IMAGE ANALYSIS; MAGNESIUM PRINTING PLATES; REMOVAL; SOLVENTS; TOXIC MATERIALS; WASTEWATER TREATMENT;

ANAEROBIC GRANULAR SLUDGES; COD REMOVAL EFFICIENCIES; DATA SETS; EARLY DETECTIONS; EXPANDED GRANULAR SLUDGE BED REACTORS; HIGH LOADINGS; LATENT VARIABLES; MAIN EFFECTS; MORPHOLOGICAL PARAMETERS; OPERATIONAL PROBLEMS; PRINCIPAL COMPONENTS; QUANTITATIVE IMAGE ANALYSES; QUANTITATIVE IMAGE ANALYSIS; REACTOR PERFORMANCES; SHOCK LOADS; TOXIC SHOCK LOAD; TOXIC SHOCKS;

PRINCIPAL COMPONENT ANALYSIS;

TOXIC SUBSTANCE;

DATA SET; DETECTION METHOD; DETERGENT; IMAGE ANALYSIS; PRINCIPAL COMPONENT ANALYSIS; QUANTITATIVE ANALYSIS; SLUDGE; SOLVENT; TOXICITY TEST; VISUALIZATION;

ARTICLE; BIOREACTOR; CONTAMINATION; IMAGE ANALYSIS; METHANOGENESIS; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; SLUDGE;

BACTERIA, ANAEROBIC; CELL SURVIVAL; DATA INTERPRETATION, STATISTICAL; DETERGENTS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PARTICLE SIZE; PRINCIPAL COMPONENT ANALYSIS; SEWAGE; SOLVENTS;

EID: 55549132598     PISSN: 09608524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biortech.2008.09.018     Document Type: Article

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