Graphene and metal organic frameworks (MOFs) hybridization for tunable chemoresistive sensors for detection of volatile organic compounds (VOCs) biomarkers

The paper presents the tuning of sensitivity and selectivity performance of volatile organic compounds (VOCs) chemoresistive sensors for biomarker detection using the hybridization of pristine graphene (pG) and metal organic frameworks (MOFs). The synergistic effect of this nanocomposite material wa...

Full description

Saved in:
Bibliographic Details
Published in:Carbon (New York) 2020-04, Vol.159, p.333-344
Main Authors: Tung, Tran Thanh, Tran, Manh Trung, Feller, Jean-François, Castro, Mickael, Van Ngo, Truc, Hassan, Kamrul, Nine, Md J., Losic, Dusan
Format: Article
Language:English
Subjects:
Acetone
Acetonitrile
Benzene
Biomarkers
Biomedical materials
Chemical sensors
Chloroform
Copper
Ethanol
Gas sensors
Graphene
Graphene composites
Graphene-MOFs
Metal-organic frameworks
Methanol
Nanocomposites
Performance enhancement
Selectivity
Sensitivity enhancement
Sensors
Synergistic effect
VOCs
Volatile organic compounds
Zinc salts
Zirconium
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The paper presents the tuning of sensitivity and selectivity performance of volatile organic compounds (VOCs) chemoresistive sensors for biomarker detection using the hybridization of pristine graphene (pG) and metal organic frameworks (MOFs). The synergistic effect of this nanocomposite material was discovered showing improved sensing performances where graphene acts as a highly conductive sensing element, and MOFs, with a high surface area and adsorption capacity provide an enhanced sensitivity and selectivity for specific VOCs. By combining and selecting different MOFs, we proposed that is possible to tailor sensing performances of chemoresistive sensors for VOC biomarkers detection. To prove that graphene hybrid nanocomposite with selected MOFs including copper–benzene-1,3,5-tricarboxylate (pG-Cu BTC), zirconium 1,4-dicarboxybenzene (pG-UiO 66) and 2-methylimidazole zinc salt (pG-ZIF 8), were investigated to enhance the sensing performance and capability of distinguishing different VOC biomarkers (e.g., methanol, ethanol, chloroform, acetone, acetonitrile and THF). Results showed that the pG-Cu BTC sensor has the highest sensitivity and selectivity towards chloroform and methanol VOCs at 2.82–22.6 ppm level. The proposed concept presents a valuable contribution for the development of low-cost and high-performing VOC biomarker sensors for monitoring human health from metabolic human breath and further implementation for non-invasive biomedical diagnostics for personalized telehealth monitoring. [Display omitted]
ISSN:0008-6223
1873-3891
DOI:10.1016/j.carbon.2019.12.010