Cargando…

Polypyrrole Percolation Network Gas Sensors: Improved Reproducibility through Conductance Monitoring during Polymer Growth

[Image: see text] Conducting-polymer-based electrical percolation networks are promising materials for use in high-sensitivity chemiresistive devices. An ongoing challenge is to create percolation networks that have consistent properties, so that devices based on these materials do not have to be in...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Weishuo, Lefferts, Merel J., Armitage, Ben I., Murugappan, Krishnan, Castell, Martin R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9084546/
https://www.ncbi.nlm.nih.gov/pubmed/35558359
http://dx.doi.org/10.1021/acsapm.1c01819
_version_ 1784703634543476736
author Li, Weishuo
Lefferts, Merel J.
Armitage, Ben I.
Murugappan, Krishnan
Castell, Martin R.
author_facet Li, Weishuo
Lefferts, Merel J.
Armitage, Ben I.
Murugappan, Krishnan
Castell, Martin R.
author_sort Li, Weishuo
collection PubMed
description [Image: see text] Conducting-polymer-based electrical percolation networks are promising materials for use in high-sensitivity chemiresistive devices. An ongoing challenge is to create percolation networks that have consistent properties, so that devices based on these materials do not have to be individually calibrated. Here, an in situ conductance technique is used during the electrochemical growth of polypyrrole (PPy) percolation networks. The drain current (i(d)) across the interdigitated electrodes (IDEs) is a measure of the conductance of the PPy network during electrochemical polymerization. The i(d) curve is used to determine the percolation region. To improve the reproducibility of PPy percolation networks, an in situ conductance monitoring method based on the value of i(d) is used. A set of optimal ammonia gas percolation sensors was created using this method with an average sensitivity of ΔR/R(0) × 100% ppm(–1) = 11.3 ± 1.2% ppm(–1) and an average limit of detection of 15.0 ± 3.6 ppb.
format Online
Article
Text
id pubmed-9084546
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher American Chemical Society
record_format MEDLINE/PubMed
spelling pubmed-90845462022-05-10 Polypyrrole Percolation Network Gas Sensors: Improved Reproducibility through Conductance Monitoring during Polymer Growth Li, Weishuo Lefferts, Merel J. Armitage, Ben I. Murugappan, Krishnan Castell, Martin R. ACS Appl Polym Mater [Image: see text] Conducting-polymer-based electrical percolation networks are promising materials for use in high-sensitivity chemiresistive devices. An ongoing challenge is to create percolation networks that have consistent properties, so that devices based on these materials do not have to be individually calibrated. Here, an in situ conductance technique is used during the electrochemical growth of polypyrrole (PPy) percolation networks. The drain current (i(d)) across the interdigitated electrodes (IDEs) is a measure of the conductance of the PPy network during electrochemical polymerization. The i(d) curve is used to determine the percolation region. To improve the reproducibility of PPy percolation networks, an in situ conductance monitoring method based on the value of i(d) is used. A set of optimal ammonia gas percolation sensors was created using this method with an average sensitivity of ΔR/R(0) × 100% ppm(–1) = 11.3 ± 1.2% ppm(–1) and an average limit of detection of 15.0 ± 3.6 ppb. American Chemical Society 2022-03-07 2022-04-08 /pmc/articles/PMC9084546/ /pubmed/35558359 http://dx.doi.org/10.1021/acsapm.1c01819 Text en © 2022 American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Li, Weishuo
Lefferts, Merel J.
Armitage, Ben I.
Murugappan, Krishnan
Castell, Martin R.
Polypyrrole Percolation Network Gas Sensors: Improved Reproducibility through Conductance Monitoring during Polymer Growth
title Polypyrrole Percolation Network Gas Sensors: Improved Reproducibility through Conductance Monitoring during Polymer Growth
title_full Polypyrrole Percolation Network Gas Sensors: Improved Reproducibility through Conductance Monitoring during Polymer Growth
title_fullStr Polypyrrole Percolation Network Gas Sensors: Improved Reproducibility through Conductance Monitoring during Polymer Growth
title_full_unstemmed Polypyrrole Percolation Network Gas Sensors: Improved Reproducibility through Conductance Monitoring during Polymer Growth
title_short Polypyrrole Percolation Network Gas Sensors: Improved Reproducibility through Conductance Monitoring during Polymer Growth
title_sort polypyrrole percolation network gas sensors: improved reproducibility through conductance monitoring during polymer growth
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9084546/
https://www.ncbi.nlm.nih.gov/pubmed/35558359
http://dx.doi.org/10.1021/acsapm.1c01819
work_keys_str_mv AT liweishuo polypyrrolepercolationnetworkgassensorsimprovedreproducibilitythroughconductancemonitoringduringpolymergrowth
AT leffertsmerelj polypyrrolepercolationnetworkgassensorsimprovedreproducibilitythroughconductancemonitoringduringpolymergrowth
AT armitagebeni polypyrrolepercolationnetworkgassensorsimprovedreproducibilitythroughconductancemonitoringduringpolymergrowth
AT murugappankrishnan polypyrrolepercolationnetworkgassensorsimprovedreproducibilitythroughconductancemonitoringduringpolymergrowth
AT castellmartinr polypyrrolepercolationnetworkgassensorsimprovedreproducibilitythroughconductancemonitoringduringpolymergrowth