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从废 Zn-C 电池中回收的微回收氧化锌纳米颗粒 (ZnO NP) 用于 ZnO 传感器检测 VOC。

Microrecycled zinc oxide nanoparticles (ZnO NP) recovered from spent Zn-C batteries for VOC detection using ZnO sensor.

机构信息

Centre for Sustainable Materials Research and Technology, SMaRT@UNSW, School of Materials Science and Engineering, UNSW Sydney, Australia.

Centre for Sustainable Materials Research and Technology, SMaRT@UNSW, School of Materials Science and Engineering, UNSW Sydney, Australia.

出版信息

Anal Chim Acta. 2021 Jun 22;1165:338563. doi: 10.1016/j.aca.2021.338563. Epub 2021 Apr 24.

Abstract

Non-intrusive techniques for diagnosis and biomonitoring - for example, breath testing to detect biomarkers - have the potential to support the advancement of versatile and remote point-of-care (PoC) diagnostics. This paper investigates tuning the sensitivity and selectivity performance of chemo-resistive sensors to detect volatile organic compound (VOC) biomarkers using a hybridized material of pristine graphene (pG) and zinc oxide nanoparticles (ZnO NP) recovered from spent Zn-C batteries. This hybridized graphene nanocomposite material of ZnO nanoparticles showed enhanced sensing performance because of high conductive property of graphene along with the synergetic interplay between graphene composite materials and ZnO NPs. The elevated surface area as well as adsorption capability of ZnO NPs provided improved sensitivity and selectivity for particular VOCs. It was proposed that this hybridized material could be used to fabricate chemo-resistive sensors with sensing performances tailored for VOC biomarker detection. To test this hypothesis, the ability of graphene hybrid nanocomposites with ZnO NPs to improve the sensing characteristics and efficiency of distinguishing diverse VOC biomarkers such as ethanol, acetone, methanol, chloroform, acetonitrile and terahydrofuran (THF) was investigated. Results demonstrated that the microrecycled ZnO based hybrid sensor has good selectivity along with the sensitivity towards ethanol and chloroform VOCs at room temperature (20 °C).

摘要

非侵入性技术可用于诊断和生物监测,例如,通过呼吸测试来检测生物标志物,这些技术有可能支持多功能和远程即时诊断(PoC)诊断的发展。本文研究了使用从废旧 Zn-C 电池中回收的原始石墨烯(pG)和氧化锌纳米粒子(ZnO NP)的混合材料来调整化学电阻传感器检测挥发性有机化合物(VOC)生物标志物的灵敏度和选择性性能。由于石墨烯的高导电性以及石墨烯复合材料与 ZnO NPs 之间的协同相互作用,这种 ZnO 纳米粒子的复合石墨烯纳米复合材料显示出增强的传感性能。ZnO NPs 的高表面积和吸附能力提高了对特定 VOC 的灵敏度和选择性。有人提出,这种混合材料可用于制造具有针对 VOC 生物标志物检测定制的传感性能的化学电阻传感器。为了验证这一假设,研究了具有 ZnO NPs 的石墨烯杂化纳米复合材料提高不同 VOC 生物标志物(如乙醇、丙酮、甲醇、氯仿、乙腈和四氢呋喃(THF))的传感特性和区分效率的能力。结果表明,基于微回收 ZnO 的混合传感器在室温(20°C)下对乙醇和氯仿 VOC 具有良好的选择性和灵敏度。

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