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Chemometric exploration of an amperometric biosensor array for fast determination of wastewater quality

Tonning, E; Sapelnikova, Svetlana LU ; Christensen, J; Carlsson, C; Winther-Nielsen, M; Dock, Eva LU ; Solna, R; Skladal, P; Norgaard, L and Ruzgas, Tautgirdas LU , et al. (2005) In Biosensors & Bioelectronics 21(4). p.608-617
Abstract
Four wastewater samples of different treatment qualities; untreated, alarm, alert and normal, from a Swedish chen-ti-thermo-mechanical pulp mill and pure water were investigated using an amperometric bioelectronic tongue in a batch cell. The aim was to explore enzymatically modified screen-printed amperometric sensors for the discrimination of wastewater quality and to counteract the inherent drift. Seven out of eight platinum electrodes on the array were modified with four different enzymes; tyrosinase, horseradish peroxidase, acetyl cholinesterase and butyryl cholinesterase. At a constant potential the current intensity on each sensor was measured for 200s, 100s before injection and 100s after injection of the sample. The dynamic... (More)
Four wastewater samples of different treatment qualities; untreated, alarm, alert and normal, from a Swedish chen-ti-thermo-mechanical pulp mill and pure water were investigated using an amperometric bioelectronic tongue in a batch cell. The aim was to explore enzymatically modified screen-printed amperometric sensors for the discrimination of wastewater quality and to counteract the inherent drift. Seven out of eight platinum electrodes on the array were modified with four different enzymes; tyrosinase, horseradish peroxidase, acetyl cholinesterase and butyryl cholinesterase. At a constant potential the current intensity on each sensor was measured for 200s, 100s before injection and 100s after injection of the sample. The dynamic biosensor response curves from the eight sensors were used for principal component analysis (PCA). A simple baseline and sensitivity correction equivalent to multiplicative drift correction (MDC), using steady state intensities of reference sample (catechol) recordings, was employed. A clear pattern emerged in perfect agreement with prior knowledge of the samples explaining 97% of the variation in the data by two principal components (PCs). The first PC described the treatment quality of the samples and the second PC described the difference between treated and untreated samples. Horseradish peroxidase and pure platinum sensors were found to be the determinant sensors, while the rest did not contribute much to the discrimination. The wastewater samples were characterized by the chemical oxygen demand (COD), biological oxygen demand (BOD), total organic carbon (TOC), inhibition of nitrification, inhibition of respiration and toxicity towards Vibrio fischeri using Microtox (R), the freshwater alga Pseudokirchneriella subcapita and the freshwater crustacean Daphnia magna. (c) 2005 Elsevier B.V. All rights reserved. (Less)
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Biosensors & Bioelectronics
volume
21
issue
4
pages
608 - 617
publisher
Elsevier
external identifiers
  • wos:000232818500009
  • pmid:16202874
  • scopus:25844504741
ISSN
1873-4235
DOI
10.1016/j.bios.2004.12.023
language
English
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aa5eba35-c362-49b5-8686-e1d131a24b4f (old id 150911)
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2007-06-28 09:07:12
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@article{aa5eba35-c362-49b5-8686-e1d131a24b4f,
  abstract     = {Four wastewater samples of different treatment qualities; untreated, alarm, alert and normal, from a Swedish chen-ti-thermo-mechanical pulp mill and pure water were investigated using an amperometric bioelectronic tongue in a batch cell. The aim was to explore enzymatically modified screen-printed amperometric sensors for the discrimination of wastewater quality and to counteract the inherent drift. Seven out of eight platinum electrodes on the array were modified with four different enzymes; tyrosinase, horseradish peroxidase, acetyl cholinesterase and butyryl cholinesterase. At a constant potential the current intensity on each sensor was measured for 200s, 100s before injection and 100s after injection of the sample. The dynamic biosensor response curves from the eight sensors were used for principal component analysis (PCA). A simple baseline and sensitivity correction equivalent to multiplicative drift correction (MDC), using steady state intensities of reference sample (catechol) recordings, was employed. A clear pattern emerged in perfect agreement with prior knowledge of the samples explaining 97% of the variation in the data by two principal components (PCs). The first PC described the treatment quality of the samples and the second PC described the difference between treated and untreated samples. Horseradish peroxidase and pure platinum sensors were found to be the determinant sensors, while the rest did not contribute much to the discrimination. The wastewater samples were characterized by the chemical oxygen demand (COD), biological oxygen demand (BOD), total organic carbon (TOC), inhibition of nitrification, inhibition of respiration and toxicity towards Vibrio fischeri using Microtox (R), the freshwater alga Pseudokirchneriella subcapita and the freshwater crustacean Daphnia magna. (c) 2005 Elsevier B.V. All rights reserved.},
  author       = {Tonning, E and Sapelnikova, Svetlana and Christensen, J and Carlsson, C and Winther-Nielsen, M and Dock, Eva and Solna, R and Skladal, P and Norgaard, L and Ruzgas, Tautgirdas and Emnéus, Jenny},
  issn         = {1873-4235},
  language     = {eng},
  number       = {4},
  pages        = {608--617},
  publisher    = {Elsevier},
  series       = {Biosensors & Bioelectronics},
  title        = {Chemometric exploration of an amperometric biosensor array for fast determination of wastewater quality},
  url          = {http://dx.doi.org/10.1016/j.bios.2004.12.023},
  volume       = {21},
  year         = {2005},
}