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.

Základní údaje

Originální název

Prediction of wastewater quality using amperometric bioelectronic tongues

Název česky

Předpověď kvality odpadní vody pomocí amperoemtrického bioelektronického jazyka

Autoři

CZOLKOS, Ilja (752 Švédsko), Eva DOCK (752 Švédsko), Erik TONNING (752 Švédsko), Jacob CHRISTENSEN (208 Dánsko), Margrethe WINTHER-NIELSEN (752 Švédsko), Charlotte CARLSSON (752 Švédsko), Renata MOJZIKOVA (203 Česká republika), Petr SKLÁDAL (203 Česká republika, garant, domácí), Ulla WOLLENBERGER (276 Německo), Lars NORGAARD (208 Dánsko), Tautgirdas RUZGAS (440 Litva) a Jenny EMNÉUS (752 Švédsko)

Vydání

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

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10600 1.6 Biological sciences

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Impakt faktor

Impact factor: 7.780

Kód RIV

RIV/00216224:14310/16:00093905

Organizační jednotka

Přírodovědecká fakulta

DOI

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

UT WoS

000362862000049

Klíčová slova česky

Amperometrický sensor; Biosensor; Chemometrie

Klíčová slova anglicky

Amperometric sensor; Biosensor; Chemometrics

Štítky

AKR, rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 9. 4. 2017 15:30, Ing. Andrea Mikešková

Anotace

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.

Česky

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 a Jenny EMNÉUS. Prediction of wastewater quality using amperometric bioelectronic tongues. Biosensors & Bioelectronics. Oxford: Elsevier Science, 2016, roč. 75, January, s. 375-382. ISSN 0956-5663. Dostupné z: 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 a Jenny EMNÉUS. Prediction of wastewater quality using amperometric bioelectronic tongues. \textit{Biosensors \&{} Bioelectronics}. Oxford: Elsevier Science, 2016, roč.~75, January, s.~375-382. ISSN~0956-5663. Dostupné z: https://dx.doi.org/10.1016/j.bios.2015.08.055.

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