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用于室温下氨气检测的高灵敏度表面声波传感器:采用金纳米粒子-氧化亚铜/还原氧化石墨烯/聚吡咯混合纳米复合薄膜

Highly Sensitive Surface Acoustic Wave Sensors for Ammonia Gas Detection at Room Temperature Using Gold Nanoparticles-Cuprous Oxide/Reduced Graphene Oxide/Polypyrrole Hybrid Nanocomposite Film.

作者信息

Pan Chung-Long, Hung Tien-Tsan, Shen Chi-Yen, Chen Pin-Hong, Tai Chi-Ming

机构信息

Department of Electrical Engineering, I-Shou University, Kaohsiung 84001, Taiwan.

Department of Chemical Engineering, I-Shou University, Kaohsiung 84001, Taiwan.

出版信息

Polymers (Basel). 2025 Apr 10;17(8):1024. doi: 10.3390/polym17081024.

Abstract

Gold nanoparticles-cuprous oxide/reduced graphene oxide/polypyrrole (AuNPs-CuO/rGO/PPy) hybrid nanocomposites were synthesized for surface acoustic wave (SAW) sensors, achieving high sensitivity (2 Hz/ppb), selectivity, and fast response (~2 min) at room temperature. The films, deposited via spin-coating, were characterized by SEM, EDS, and XRD, revealing a rough, wrinkled morphology beneficial for gas adsorption. The sensor showed significant frequency shifts to NH, enhanced by AuNPs, CuO, rGO, and PPy. It had a 6.4-fold stronger response to NH compared to CO, H, and CO, confirming excellent selectivity. The linear detection range was 12-1000 ppb, with a limit of detection (LOD) of 8 ppb. Humidity affected performance, causing negative frequency shifts, and sensitivity declined after 30 days due to resistivity changes. Despite this, the sensor demonstrated excellent NH selectivity and stability across multiple cycles. In simulated breath tests, it distinguished between healthy and patient-like samples, highlighting its potential as a reliable, non-invasive diagnostic tool.

摘要

合成了金纳米粒子-氧化亚铜/还原氧化石墨烯/聚吡咯(AuNPs-CuO/rGO/PPy)杂化纳米复合材料用于表面声波(SAW)传感器,在室温下实现了高灵敏度(2 Hz/ppb)、选择性和快速响应(约2分钟)。通过旋涂沉积的薄膜用扫描电子显微镜(SEM)、能谱仪(EDS)和X射线衍射仪(XRD)进行了表征,显示出有利于气体吸附的粗糙、褶皱形态。该传感器对NH₃表现出显著的频率偏移,AuNPs、CuO、rGO和PPy增强了这种偏移。与CO、H₂和CO₂相比,它对NH₃的响应强6.4倍,证实了其优异的选择性。线性检测范围为12-1000 ppb,检测限(LOD)为8 ppb。湿度会影响性能,导致负频率偏移,并且由于电阻率变化,30天后灵敏度下降。尽管如此,该传感器在多个循环中表现出优异的NH₃选择性和稳定性。在模拟呼吸测试中,它能够区分健康样本和类似患者的样本,突出了其作为可靠的非侵入性诊断工具的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/152f/12030490/e0118f560420/polymers-17-01024-g001.jpg

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