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

  • Luis Antonio Panes-Ruiz
  • , Leif Riemenschneider
  • , Mohamad Moner Al Chawa
  • , Markus Löffler
  • , Bernd Rellinghaus
  • , Ronald Tetzlaff
  • , Viktor Bezugly*
  • , Bergoi Ibarlucea*
  • , Gianaurelio Cuniberti*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Citations (Scopus)

Abstract

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. [Figure not available: see fulltext.]

Original languageEnglish
Pages (from-to)2512-2521
Number of pages10
JournalNano Research
Volume15
Issue number3
DOIs
Publication statusPublished - Mar 2022
Externally publishedYes

Keywords

  • chemiresistive gas sensors
  • chemiresistor mathematical model
  • gold nanoparticles
  • hydrogen sulfide detection
  • semiconducting carbon nanotubes

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