Preprint Article Version 1 This version is not peer-reviewed

ZIF Nanocrystal-Based SAW Electronic Nose to Detect Diabetes in Human Breath

Version 1 : Received: 7 November 2018 / Approved: 8 November 2018 / Online: 8 November 2018 (11:18:23 CET)

A peer-reviewed article of this Preprint also exists.

Bahos, F.A.; Sainz-Vidal, A.; Sánchez-Pérez, C.; Saniger, J.M.; Gràcia, I.; Saniger-Alba, M.M.; Matatagui, D. ZIF Nanocrystal-Based Surface Acoustic Wave (SAW) Electronic Nose to Detect Diabetes in Human Breath. Biosensors 2019, 9, 4. Bahos, F.A.; Sainz-Vidal, A.; Sánchez-Pérez, C.; Saniger, J.M.; Gràcia, I.; Saniger-Alba, M.M.; Matatagui, D. ZIF Nanocrystal-Based Surface Acoustic Wave (SAW) Electronic Nose to Detect Diabetes in Human Breath. Biosensors 2019, 9, 4.

Journal reference: Biosensors 2018, 9, 4
DOI: 10.3390/bios9010004

Abstract

In the present work a novel, portable and innovative eNose composed of a surface acoustic wave (SAW) sensor array based ZIF-8, and ZIF-67 nanocrystals (pure and combined with gold nanoparticles) as sensitive layers has been tested as a non-invasive system to detect and differentiate disease markers, such as acetone, ethanol and ammonia, related with early diagnosis of diabetes mellitus through exhaled breath. The sensors have been prepared by spin coating, achieving continuous and homogenous sensitive layers. Low concentrations (5 ppm, 10 ppm and 25ppm) of the marker analytes were measured, obtaining high sensitivities, good reproducibility, short time response and fast signal recovery.

Subject Areas

eNose; gas sensor, SAW; Surface Acoustic Wave, Love wave, diabetes, breath, VOC, ZIF, Zeolite

Readers' Comments and Ratings (0)

Leave a public comment
Send a private comment to the author(s)
Views 0
Downloads 0
Comments 0
Metrics 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.