Prediction of wastewater quality using amperometric
bioelectronic tongues

J 2016

Prediction of wastewater quality using amperometric bioelectronic tongues

CZOLKOS, Ilja, Eva DOCK, Erik TONNING, Jacob CHRISTENSEN, Margrethe WINTHER-NIELSEN et. al.

Basic information

Original name

Prediction of wastewater quality using amperometric bioelectronic tongues

Name in Czech

Předpověď kvality odpadní vody pomocí amperoemtrického bioelektronického jazyka

Authors

CZOLKOS, Ilja (752 Sweden), Eva DOCK (752 Sweden), Erik TONNING (752 Sweden), Jacob CHRISTENSEN (208 Denmark), Margrethe WINTHER-NIELSEN (752 Sweden), Charlotte CARLSSON (752 Sweden), Renata MOJZIKOVA (203 Czech Republic), Petr SKLÁDAL (203 Czech Republic, guarantor, belonging to the institution), Ulla WOLLENBERGER (276 Germany), Lars NORGAARD (208 Denmark), Tautgirdas RUZGAS (440 Lithuania) and Jenny EMNÉUS (752 Sweden)

Edition

Biosensors & Bioelectronics, Oxford, Elsevier Science, 2016, 0956-5663

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

10600 1.6 Biological sciences

Country of publisher

United Kingdom of Great Britain and Northern Ireland

Confidentiality degree

není předmětem státního či obchodního tajemství

Impact factor

Impact factor: 7.780

RIV identification code

RIV/00216224:14310/16:00093905

Organization unit

Faculty of Science

DOI

http://dx.doi.org/10.1016/j.bios.2015.08.055

UT WoS

000362862000049

Keywords (in Czech)

Amperometrický sensor; Biosensor; Chemometrie

Keywords in English

Amperometric sensor; Biosensor; Chemometrics

Abstract

ORIG CZ

V originále

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.

In Czech

Multikanálový enzymový elektrochemický biosensor pro charakterizaci odpadních vod ve spojení s analýzou hlavních komponent.

Citovat

CZOLKOS, Ilja, Eva DOCK, Erik TONNING, Jacob CHRISTENSEN, Margrethe WINTHER-NIELSEN, Charlotte CARLSSON, Renata MOJZIKOVA, Petr SKLÁDAL, Ulla WOLLENBERGER, Lars NORGAARD, Tautgirdas RUZGAS and Jenny EMNÉUS. Prediction of wastewater quality using amperometric bioelectronic tongues. Biosensors & Bioelectronics. Oxford: Elsevier Science, 2016, vol. 75, January, p. 375-382. ISSN 0956-5663. Available from: https://dx.doi.org/10.1016/j.bios.2015.08.055.

@article{1375605,
   author = {Czolkos, Ilja and Dock, Eva and Tonning, Erik and Christensen, Jacob and WintherandNielsen, Margrethe and Carlsson, Charlotte and Mojzikova, Renata and Skládal, Petr and Wollenberger, Ulla and Norgaard, Lars and Ruzgas, Tautgirdas and Emnéus, Jenny},
   article_location = {Oxford},
   article_number = {January},
   doi = {http://dx.doi.org/10.1016/j.bios.2015.08.055},
   keywords = {Amperometric sensor; Biosensor; Chemometrics},
   language = {eng},
   issn = {0956-5663},
   journal = {Biosensors & Bioelectronics},
   title = {Prediction of wastewater quality using amperometric bioelectronic tongues},
   volume = {75},
   year = {2016}
}

TY  - JOUR
ID  - 1375605
AU  - Czolkos, Ilja - Dock, Eva - Tonning, Erik - Christensen, Jacob - Winther-Nielsen, Margrethe - Carlsson, Charlotte - Mojzikova, Renata - Skládal, Petr - Wollenberger, Ulla - Norgaard, Lars - Ruzgas, Tautgirdas - Emnéus, Jenny
PY  - 2016
TI  - Prediction of wastewater quality using amperometric bioelectronic tongues
JF  - Biosensors & Bioelectronics
VL  - 75
IS  - January
SP  - 375-382
EP  - 375-382
PB  - Elsevier Science
SN  - 09565663
KW  - Amperometric sensor
KW  - Biosensor
KW  - Chemometrics
N2  - 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.
ER  -

CZOLKOS, Ilja, Eva DOCK, Erik TONNING, Jacob CHRISTENSEN, Margrethe WINTHER-NIELSEN, Charlotte CARLSSON, Renata MOJZIKOVA, Petr SKLÁDAL, Ulla WOLLENBERGER, Lars NORGAARD, Tautgirdas RUZGAS and Jenny EMNÉUS. Prediction of wastewater quality using amperometric bioelectronic tongues. \textit{Biosensors \&{} Bioelectronics}. Oxford: Elsevier Science, 2016, vol.~75, January, p.~375-382. ISSN~0956-5663. Available from: https://dx.doi.org/10.1016/j.bios.2015.08.055.

Detailed Information on Publication Record