Evaluation of a Commercial Electronic Nose Based on Carbon Nanotube Chemiresistors.


Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
02 Jun 2023
Historique:
received: 05 04 2023
revised: 23 05 2023
accepted: 01 06 2023
medline: 12 6 2023
pubmed: 10 6 2023
entrez: 10 6 2023
Statut: epublish

Résumé

Recently a hand-held, carbon-nanotube-based electronic nose became available on the market. Such an electronic nose could be interesting for applications in the food industry, health monitoring, environmental monitoring, and security services. However, not much is known about the performance of such an electronic nose. In a series of measurements, the instrument was exposed to low ppm vapor concentrations of four volatile organic compounds with different scent profiles and polarities. Detection limits, linearity of response, repeatability, reproducibility, and scent patterns were determined. The results indicate detection limits in the range of 0.1-0.5 ppm and a linear signal response in the range of 0.5-8.0 ppm. The repeatability of the scent patterns at compound concentrations of 2 ppm allowed the identification of the tested volatiles based on their scent pattern. However, the reproducibility was not sufficient, since different scent profiles were produced on different measurement days. In addition, it was noted that the response of the instrument diminished over time (over several months) possibly by sensor poisoning. The latter two aspects limit the use of the current instrument and make future improvements necessary.

Identifiants

pubmed: 37300031
pii: s23115302
doi: 10.3390/s23115302
pmc: PMC10256068
pii:
doi:

Substances chimiques

Nanotubes, Carbon 0
Pheromones 0
Volatile Organic Compounds 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

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Auteurs

Ruud Peters (R)

Lectorate Technologies for Criminal Investigations, Saxion University of Applied Sciences, Handelskade 75, 7417 DH Deventer, The Netherlands.

Niels Beijer (N)

Lectorate Technologies for Criminal Investigations, Saxion University of Applied Sciences, Handelskade 75, 7417 DH Deventer, The Netherlands.

Bauke van 't Hul (BV)

Academy of Applied Biosciences and Chemistry, HAN University of Applied Sciences, Laan van Scheut 2, 6525 EM Nijmegen, The Netherlands.

Brigitte Bruijns (B)

Lectorate Technologies for Criminal Investigations, Saxion University of Applied Sciences, Handelskade 75, 7417 DH Deventer, The Netherlands.

Sandra Munniks (S)

Wageningen Food Safety Research, Wageningen University and Research, Akkermaalsbos 2, 6708 WB Wageningen, The Netherlands.

Jaap Knotter (J)

Lectorate Technologies for Criminal Investigations, Saxion University of Applied Sciences, Handelskade 75, 7417 DH Deventer, The Netherlands.
Dutch Police Academy, Arnhemseweg 348, 7334 AC Apeldoorn, The Netherlands.

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Classifications MeSH