The performance of a novel, visible light-driven photoelectrocatalytic (PEC) batch reactor employing tungsten trioxide (WO₃) as a photocatalyst was assessed by studying the degradation of selected model pollutants (2,4-DCP, chloroform) and the disinfection of a human bacterial pathogen (E. coli O157:H7). Overall efficacy of the batch reactor was assessed by combining biological toxicity assessment (biosensing) with conventional analytical chemistry. Photoelectrocatalytic degradation of the organoxenobiotics (2,4-DCP, chloroform) was monitored toxicologically by applying bacterial lux-marked biosensors and analytically by HPLC. The bacterial biosensor traced the removal of the target, model pollutants during degradation experiments, and also monitored changes in toxicity in the analyte of the PEC batch reactor caused by the possible appearance/disappearance of toxic transient intermediates derived from the breakdown of the parent molecule. Chromosomally lux-marked, non-toxigenic E. coli O157:H7 was selected as a model human pathogenic bacterium to demonstrate the disinfection potential of the batch reactor. Results of disinfection experiments indicated that a substantial decline in the population density of culturable E. coli  O157:H7 cells was achieved. Accurate differentiation between the effects of photoelectrocatalysis and photolysis on the cells of E. coli O157:H7 was not achieved. The observed rate of the degradation of the model chemical compounds and the disinfection of the model human pathogen, demonstrated that visible light-driven photoelectrocatalysis offers considerable potential for remediation of contaminated water. Furthermore, toxicological biosensing can bridge the gap between traditional chemical analysis and ecologically relevant sample evaluation and address suitability of reintroduction of treated solution back into mainstream wastewater treatment.