Threshold-Responsive Colorimetric Sensing System for the Continuous Monitoring of Gases.
artificial intelligence
automated sampling
colorimetric sensing
continuous sensing
internal diffusion
sensor saturation
tunable response
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
27 Mar 2023
27 Mar 2023
Historique:
received:
20
02
2023
revised:
20
03
2023
accepted:
23
03
2023
medline:
14
4
2023
entrez:
13
4
2023
pubmed:
14
4
2023
Statut:
epublish
Résumé
Colorimetric sensors are widely used because of their inherent advantages including accuracy, rapid response, ease-of-use, and low costs; however, they usually lack reusability, which precludes the continuous use of a single sensor. We have developed a threshold-responsive colorimetric system that enables repeated analyte measurements by a single colorimetric sensor. The threshold responsive algorithm automatically adjusts the sensor exposure time to the analyte and measurement frequency according to the sensor response. The system registers the colorimetric sensor signal change rate, prevents the colorimetric sensor from reaching saturation, and allows the sensor to fully regenerate before the next measurement is started. The system also addresses issues common to colorimetric sensors, including the response time and range of detection. We demonstrate the benefits and feasibility of this novel system, using colorimetric sensors for ammonia and carbon dioxide gases for continuous monitoring of up to (at least) 60 detection cycles without signs of analytical performance degradation of the sensors.
Identifiants
pubmed: 37050555
pii: s23073496
doi: 10.3390/s23073496
pmc: PMC10098906
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : National Science Foundation
ID : 2122901
Organisme : A.J. and Sigismunda Palumbo Charitable Trust, NSF
ID : 1914240
Organisme : Arizona Biomedical Research Commission
ID : ADHS18-198877
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