Predicting Arsenic Relative Bioavailability Using Multiple in Vitro Assays: Validation of in Vivo-in Vitro Correlations

Environmental Science and Technology

Volumn 49, Issue 18, 2015, Pages 11167-11175

  Juhasz, Albert L ^a   Herde, Paul ^b   Herde, Carina ^b   Boland, John ^a   Smith, Euan ^a  

^a UNIVERSITY OF SOUTH AUSTRALIA   (Australia)

^b SOUTH AUSTRALIAN HEALTH AND MEDICAL RESEARCH INSTITUTE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

ARSENIC; BIOCHEMISTRY; ERRORS;

BIOACCESSIBILITY; GOODNESS OF FIT; IMPACTED SOIL; IN-VITRO ASSAYS; MODEL BIAS; PREDICTION ERRORS; RELATIVE BIOAVAILABILITY; VALIDATION PROCESS;

FORECASTING;

ARSENIC; FERRIC HYDROXIDE; HERBICIDE; ORGANIC CARBON; SOIL; SOIL POLLUTANT;

ARSENIC; BIOASSAY; BIOAVAILABILITY; COMPARATIVE STUDY; DATA SET; ERROR ANALYSIS; HERBICIDE; MODEL VALIDATION; PREDICTION;

ANALYTIC METHOD; ANALYTICAL ERROR; ARTICLE; ASSAY; BIOAVAILABILITY; IN VITRO STUDY; IN VIVO STUDY; INTERMETHOD COMPARISON; MINING; PIG; PREDICTION; SOIL POLLUTION; VALIDATION PROCESS; VALIDITY; ANALYSIS; ANIMAL; BIOASSAY; CHEMISTRY; METHODOLOGY; PARTICLE SIZE; PROCEDURES; REPRODUCIBILITY; SOIL; SOIL POLLUTANT; STATISTICAL MODEL;

SUIDAE;

ANIMALS; ARSENIC; BIOLOGICAL ASSAY; BIOLOGICAL AVAILABILITY; LINEAR MODELS; PARTICLE SIZE; REPRODUCIBILITY OF RESULTS; RESEARCH DESIGN; SOIL; SOIL POLLUTANTS; SUS SCROFA;

EID: 84941712026     PISSN: 0013936X     EISSN: 15205851     Source Type: Journal    
DOI: 10.1021/acs.est.5b02508     Document Type: Article

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