Integrating technologies with water recycling and/or biodegradation of wastes can increase the quality of natural waters. To succeed with this, fast and reliable monitoring of wastewater is required. In this context the main objective of the project is to create a methodology for fast monitoring of pollution levels in wastewater. The methodology relies on a biosensor array-pattern recognition system. Array will consist of enzyme-, DNA-, and cell-modified electrodes generating fast multivariate response due to interaction of pollutants (phenols, heavy metals, lignins, surfactants) with biomolecules. By the use of chemometrics this response will be converted into pattern and enable fast estimation of wastewater composition and toxicity. The patters will be derived from simultaneous analysis of wastewater with array electrodes, classical analytical techniques and toxicity tests. The deviation of the pattern from allowed or known will generate alarm.

Achieved results

Eight biosensor arrays was produced using enzymes (cholinesterases, laccases, peroxidases, tyrosinase, dehydrogenases) and the monitoring of phenols, lignins, heavy metals, surfactants in wastewater was enabled.

A measuring device - multi channel potentiostat of 8 independent channels - for bioelectrochemical sample analysis was accomplished. The software for multichannel potentiostat controlling and data processing was developed.

Consortium


Project co-ordinator:
Lund University Department of Analytical Chemistry Lund, Sweden.