Prediction of wastewater quality using amperometric bioelectronic tongues

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Prediction of wastewater quality using amperometric bioelectronic tongues

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Publication Article, peer reviewed scientific
Title Prediction of wastewater quality using amperometric bioelectronic tongues
Author(s) Czolkos, Ilja ; Dock, Eva ; Tonning, Erik ; Christensen, Jakob ; Winther-Nielsen, Margrethe ; Carlsson, Charlotte ; Mojzikova, Renata ; Skladal, Petr ; Wollenberger, Ulla ; Norgaard, Lars ; Ruzgas, Tautgirdas ; Emneus, Jenny
Date 2016
English abstract
Wastewater samples from a Swedish chemi-thermo-mechanical pulp (CTMP) mill collected at different purification stages in a wastewater treatment plant (WWTP) were analyzed with an amperometric enzyme-based biosensor array in a flow-injection system. In order to resolve the complex composition of the wastewater, the array consists of several sensing elements which yield a multidimensional response. We used principal component analysis (PCA) to decompose the array's responses, and found that wastewater with different degrees of pollution can be differentiated. With the help of partial least squares regression (PLS-R), we could link the sensor responses to the Microtox (R) toxicity parameter, as well as to global organic pollution parameters (COD, BOD, and TOC). From investigating the influences of individual sensors in the array, it was found that the best models were in most cases obtained when all sensors in the array were included in the PLS-R model. We find that fast simultaneous determination of several global environmental parameters characterizing wastewaters is possible with this kind of biosensor array, in particular because of the link between the sensor responses and the biological effect onto the ecosystem into which the wastewater would be released. In conjunction with multivariate data analysis tools, there is strong potential to reduce the total time until a result is yielded from days to a few minutes. (C) 2015 Elsevier B.V. All rights reserved.
DOI (link to publisher's fulltext)
Publisher Elsevier
Host/Issue Biosensors and Bioelectronics;
Volume 75
ISSN 0956-5663
Pages 375-382
Language eng (iso)
Subject(s) Biosensor array
Electronic tongue
Amperometric sensor
Multivariate data analysis
Phenolic compounds
Research Subject Categories::MEDICINE
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