Selective and self-validating breath-level detection of hydrogen sulfide in humid air by gold nanoparticle-functionalized nanotube arrays

© The Author(s) 2021..

We demonstrate the selective detection of hydrogen sulfide at breath concentration levels under humid airflow, using a self-validating 64-channel sensor array based on semiconducting single-walled carbon nanotubes (sc-SWCNTs). The reproducible sensor fabrication process is based on a multiplexed and controlled dielectrophoretic deposition of sc-SWCNTs. The sensing area is functionalized with gold nanoparticles to address the detection at room temperature by exploiting the affinity between gold and sulfur atoms of the gas. Sensing devices functionalized with an optimized distribution of nanoparticles show a sensitivity of 0.122%/part per billion (ppb) and a calculated limit of detection (LOD) of 3 ppb. Beyond the self-validation, our sensors show increased stability and higher response levels compared to some commercially available electrochemical sensors. The cross-sensitivity to breath gases NH3 and NO is addressed demonstrating the high selectivity to H2S. Finally, mathematical models of sensors' electrical characteristics and sensing responses are developed to enhance the differentiation capabilities of the platform to be used in breath analysis applications.

Electronic Supplementary Material: Supplementary material (details on the dielectrophoretic deposition, AuNP functionalization optimization, full range of experimental and model H2S sensing response up to 820 ppb, and sensing response to NO gas) is available in the online version of this article at 10.1007/s12274-021-3771-7.

Medienart:

E-Artikel

Erscheinungsjahr:

2022

Erschienen:

2022

Enthalten in:

Zur Gesamtaufnahme - volume:15

Enthalten in:

Nano research - 15(2022), 3 vom: 02., Seite 2512-2521

Sprache:

Englisch

Beteiligte Personen:

Panes-Ruiz, Luis Antonio [VerfasserIn]
Riemenschneider, Leif [VerfasserIn]
Al Chawa, Mohamad Moner [VerfasserIn]
Löffler, Markus [VerfasserIn]
Rellinghaus, Bernd [VerfasserIn]
Tetzlaff, Ronald [VerfasserIn]
Bezugly, Viktor [VerfasserIn]
Ibarlucea, Bergoi [VerfasserIn]
Cuniberti, Gianaurelio [VerfasserIn]

Links:

Volltext

Themen:

Chemiresistive gas sensors
Chemiresistor mathematical model
Gold nanoparticles
Hydrogen sulfide detection
Journal Article
Semiconducting carbon nanotubes

Anmerkungen:

Date Revised 16.07.2022

published: Print-Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.1007/s12274-021-3771-7

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM330362704