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

机译:用于检测挥发性有机化合物(VOCS)生物标志物的可调谐化学诱导传感器的石墨烯和金属有机框架(MOF)杂交

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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. (C) 2019 Published by Elsevier Ltd.
机译:本文介绍了使用原始石墨烯(PG)和金属有机框架(MOF)的杂交来调节挥发性有机化合物(VOCS)化学传感器的生物标志物检测。发现该纳米复合材料的协同效应显示出改善的感测性能,其中石墨烯作为高导电感测元件,以及具有高表面积和吸附容量的MOF,为特定VOC提供增强的灵敏度和选择性。通过组合和选择不同的MOF,我们提出了可以根据VOC生物标志物检测定制感测化学传感器的性能。为了证明具有选定的MOF的石墨烯杂交纳米复合材料,包括铜 - 苯-1,3,5-三羧酸盐(PG-Cu BTC),锆1,4-二羧苯苯(PG-UIO 66)和2-甲基咪唑锌盐(PG-ZIF 8)被研究以增强区分不同VOC生物标志物(例如甲醇,乙醇,氯仿,丙酮,乙腈和THF)的感测性能和能力。结果表明,PG-Cu BTC传感器具有最高的敏感性和对氯仿和甲醇VOC的选择性为2.82-22.6ppm水平。拟议的概念为开发低成本和高性能的VOC生物标志物传感器,为监测代谢人类呼吸的人类健康以及用于个性化的遥测监测的非侵入性生物医学诊断的进一步实施,对低成本和高性能的VOC生物标志物传感器提供了有价值的贡献。 (c)2019年由elestvier有限公司出版

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