Response characteristics of Co-ZnO gas-sensing materials to acetone and waste gas detection

YANG Jia-li, DANG Xiao-qing, WANG He

China Environmental Science ›› 2026, Vol. 46 ›› Issue (3) : 1320-1330.

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China Environmental Science ›› 2026, Vol. 46 ›› Issue (3) : 1320-1330.
Air Pollution Control

Response characteristics of Co-ZnO gas-sensing materials to acetone and waste gas detection

  • YANG Jia-li1,2, DANG Xiao-qing1, WANG He1,2
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Abstract

Co-doped ZnO gas-sensitive materials were synthesized via a hydrothermal method, and the influence of varying Co doping concentrations on their gas-sensing properties was systematically investigated. Furthermore, focusing on the emission characteristics of acetone within the multi-component VOCs generated during rubber vulcanization, the feasibility of real-time acetone detection using these materials was explored, aiming to enable cost-effective operation of adsorption systems under compliance conditions. The results indicated that the Co-ZnO-2% sensor achieved a high response value of 1146.8 to 260mg/m3 acetone at 240°C, with rapid response and recovery times of 16s and 8s, respectively. Additionally, it exhibited excellent selectivity, reproducibility, and long-term stability toward acetone. In a simulated VOC adsorption purification experiment, the Co-ZnO-2% sensor was applied, and its response values were demonstrated to effectively indicate both the breakthrough and saturation states of the adsorbent. Under multi-component adsorption conditions, with acetone as a representative indicator, a warning threshold and a concentration prediction model, Xacetone=(Y-16.89)/4.47, were established to estimate VOC concentrations. This approach successfully realized online monitoring of the adsorption process and evaluation of the emission status.

Key words

acetone gas sensor / p-n heterojunction / gas-sensitive performance / adsorption

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YANG Jia-li, DANG Xiao-qing, WANG He. Response characteristics of Co-ZnO gas-sensing materials to acetone and waste gas detection[J]. China Environmental Science. 2026, 46(3): 1320-1330

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