4.6 Article

Exploitation of Schottky-Junction-based Sensors for Specifically Detecting ppt-Concentration Gases

期刊

ACS SENSORS
卷 7, 期 12, 页码 3764-3772

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acssensors.2c01591

关键词

two-dimensional material; Schottky junction; gas sensor; ppt detection limit; molecular specificity

资金

  1. Guandong Basic and Applied Basic Research Foundation [2021A1515110313]
  2. National Natural Science Foundation of China [21733001, 21920102004, 52021006, T2188101, 91964101, 11888101, 21725302]
  3. Beijing National Laboratory for Molecular Sciences [BNLMS-CXTD-202001]
  4. Tencent Foundation (XPLORER PRIZE)
  5. High-performance Computing Platform of Peking University
  6. National Key RD Program [2021YFA1400500]

向作者/读者索取更多资源

This study utilizes the Schottky junction of gas sensors to detect trace amounts of volatile organic compounds in exhaled breath, specifically targeting the disease marker acetone. The proposed sensing paradigm demonstrates rapid and room-temperature response, molecular specificity, and an extremely low detection limit.
Gas species and concentrations of human-exhaled breath correlate with health, wherein disease markers contain volatile organic compounds (VOCs) of concentrations in parts per billion. It is expected that a gas-sensing strategy possesses a gas specificity and detection limit in the parts per trillion (ppt) range; however, it is still a challenge. This investigation has exploited the Schottky junction of gas sensors for detecting the reactance signal of ppt VOC, aiming for a specific and rapid detection toward disease marker acetone. In this new sensing paradigm, formed by the engineered energy band between metal-semiconductor contact, the Schottky junction is accessed to specific modulation of different adsorbate dopings and the corresponding reactance signal is measured. Regarding the detection toward ppt concentration of acetone, this sensing paradigm possesses rapid (-100 s) and room-temperature response, molecular specificity, and 34 ppt of detection limit. The proposed detection paradigm is demonstrated to show a high feasibility toward detection of disease marker acetone.

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