Prediction of wastewater quality using amperometric bioelectronic tongues
Language English Country Great Britain, England Media print
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
26342573
DOI
10.1016/j.bios.2015.08.055
PII: S0956-5663(15)30376-6
Knihovny.cz E-resources
- Keywords
- Amperometric sensor, Biosensor array, Chemometrics, Electronic tongue, Multivariate data analysis, Phenolic compounds, Screen-printed electrode, Toxicity, Wastewater,
- MeSH
- Biosensing Techniques * MeSH
- Water Pollutants, Chemical chemistry isolation & purification MeSH
- Environmental Monitoring * MeSH
- Wastewater chemistry MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- Water Pollutants, Chemical MeSH
- Waste Water MeSH
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® 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.
AkzoNobel Industrial Coatings AB Staffanstorpsvägen 50 205 17 Malmö Sweden
AnoxKaldnes AB Klosterängsvägen 11A 226 47 Lund Sweden
Fiberline Composites A S Barmstedt Allé 5 5500 Middelfart Denmark
Institute of Biochemistry Masaryk University Kotlářská 2 611 37 Brno Czech Republic
References provided by Crossref.org