1995•Environmental Toxicology and Water QualityRequires access

Toxicity estimation of treated coke plant wastewater using the luminescent bacteria assay and the algal growth inhibition test

Simone Peter, Christof Siersdorfer, Heinrich Kaltwasser, Markus Geiger

Open publisher page 4 citations

Abstract

Abstract Among several bioassays, the Scenedesmus subspicatus chlorophyll fluorescence test and the Photobacterium phosphoreum bioluminescence assay were selected to examine their applicability for toxicity evaluation of changes in coke plant effluent quality. In addition to the ecotoxicological parameters, a chemical analysis of dissolved organic carbon (DOC), ammonia‐N, and nitrate‐N was performed. It was demonstrated that the toxicity values obtained from the bioassays give a first indication on potential hazard and successful treatment. Decreasing toxicity values went along with decreasing DOC or ammonia‐N values, but the sensitivity toward DOC reduction was higher. Sensitivity toward pure compounds was assessed by comparing the EC50 values of the luminescent bacteria assay with the corresponding EC50 values of the algal bioassay. The data showed a poor correlation between the two bioassays. © by John Wiley & Sons, Inc.

About this research paper

What this paper is about

Abstract Among several bioassays, the Scenedesmus subspicatus chlorophyll fluorescence test and the Photobacterium phosphoreum bioluminescence assay were selected to examine their applicability for toxicity evaluation of changes in coke plant effluent quality. In addition to the ecotoxicological parameters, a chemical analysis of dissolved organic carbon (DOC), ammonia‐N, and nitrate‐N was performed. It was demonstrated that the toxicity values obtained from the bioassays give a first indication on potential hazard and successful treatment. Decreasing toxicity values went along with decreasing DOC or ammonia‐N values, but the sensitivity toward DOC reduction was higher. Sensitivity toward pure compounds was assessed by comparing the EC50 values of the luminescent bacteria assay with the corresponding EC50 values of the algal bioassay. The data showed a poor correlation between the two bioassays. © by John Wiley & Sons, Inc.

Why it matters

OpenAlex reports 4 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Abstract Among several bioassays, the Scenedesmus subspicatus chlorophyll fluorescence test and the Photobacterium phosphoreum bioluminescence assay were selected to examine their applicability for toxicity evaluation of changes in coke plant effluent quality. In addition to the ecotoxicological parameters, a chemical analysis of dissolved organic carbon (DOC), ammonia‐N, and nitrate‐N was performed. It was demonstrated that the toxicity values obtained from the bioassays give a first indication on potential hazard and successful treatment. Decreasing toxicity values went along with decreasing DOC or ammonia‐N values, but the sensitivity toward DOC reduction was higher. Sensitivity toward pure compounds was assessed by comparing the EC50 values of the luminescent bacteria assay with the corresponding EC50 values of the algal bioassay. The data showed a poor correlation between the two bioassays. © by John Wiley & Sons, Inc.

Key concepts: Bioassay, Photobacterium phosphoreum, Luminescent bacteria, Environmental chemistry, Effluent, Toxicity, Acute toxicity, Chemistry

Related papers

Back to paper searchBrowse research topicsOriginal source
Toxicity estimation of treated coke plant wastewater using the luminescent bacteria assay and the algal growth inhibition test — Research Paper | ScholarLens