Achieving ultrasensitive and rapid detection of 3-methylbutyraldehyde is crucial for monitoring chemical intermediate leakage in pharmaceutical and chemical industries as well as diagnosing ventilator-associated pneumonia by monitoring exhaled gas. However, developing a sensitive and rapid method for detecting 3-methylbutyraldehyde poses challenges. Herein, a wireless chemiresistive gas sensor based on a mesoporous ZnO–SnO₂ heterostructure is fabricated to enable the ultrasensitive and rapid detection of 3-methylbutyraldehyde for the first time. The mesoporous ZnO–SnO₂ heterostructure exhibits a uniform spherical shape (∼79 nm in diameter), a high specific surface area (54.8 m² g^–1), a small crystal size (∼4 nm), and a large pore size (6.7 nm). The gas sensor demonstrates high response (18.98@20 ppm), short response/recovery times (13/13 s), and a low detection limit (0.48 ppm) toward 3-methylbutyraldehyde. Furthermore, a real-time monitoring system is developed utilizing microelectromechanical systems gas sensors. The modification of amorphous ZnO on the mesoporous SnO₂ pore wall can effectively increase the chemisorbed oxygen content and the thickness of the electron depletion layer at the gas–solid interface, which facilitates the interface redox reaction and enhances the sensing performance. This work presents an initial example of semiconductor metal oxide gas sensors for efficient detection of 3-methylbutyraldehyde that holds great potential for ensuring safety during chemical production and disease diagnosis.

中文翻译：

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基于介孔ZnO-SnO2异质结构的无线气体传感器可实现3-甲基丁醛的超灵敏快速检测


实现3-甲基丁醛的超灵敏快速检测对于监测制药和化工行业的化学中间体泄漏以及通过监测呼出气体来诊断呼吸机相关肺炎至关重要。然而，开发一种灵敏、快速的方法来检测 3-甲基丁醛面临着挑战。在此，制备了一种基于介孔ZnO-SnO ₂ 异质结构的无线化学电阻气体传感器，首次实现了3-甲基丁醛的超灵敏快速检测。介孔ZnO-SnO ₂ 异质结构具有均匀的球形形状（直径约79 nm），高比表面积（54.8 m ² g ^–1 ） ，小晶体尺寸（∼4 nm）和大孔径（6.7 nm）。该气体传感器对 3-甲基丁醛具有高响应 (18.98@20 ppm)、短响应/恢复时间 (13/13 s) 和低检测限 (0.48 ppm)。此外，利用微机电系统气体传感器开发了实时监测系统。非晶态ZnO对介孔SnO ₂ 孔壁的修饰可以有效增加气固界面化学吸附氧含量和电子耗尽层厚度，有利于界面氧化还原反应，增强传感性能表现。这项工作提出了用于有效检测 3-甲基丁醛的半导体金属氧化物气体传感器的初步示例，该传感器在确保化学品生产和疾病诊断过程中的安全方面具有巨大的潜力。