Acetone is a biomarker of diabetics. The exhaled acetone concentration of diabetics is higher than that of a healthy person. Semiconductor gas sensors provide an accurate non-invasive detection method for low-concentration breath acetone of diabetics, but the their selectivity presents a drawback. In order to detect the concentration of exhaled acetone accurately from exhaled breath, an acetone detector based on a separation channel and semiconductor gas sensors is presented in this paper. Carbon dioxide, acetone, and ethanol were simulated and separated by a gas chromatography (GC) column in the separation channel. The separated time of carbon dioxide, exhaled acetone, and ethanol are 25 s, 236 s, and 574 s at room temperature, respectively. Carbon dioxide, acetone, and ethanol flow into three gas detection channels with the control of a time-sharing conversion switch. Then, carbon dioxide, acetone, and ethanol can be detected accurately by the semiconductor gas sensors. Exhaled acetone can be measured as low as 1 ppm within 5 min without any interference. A highly selective acetone detector based on GC and semiconductor technology has potential in monitoring and detecting diabetes as well as safe driving in a non-invasive way.

丙酮是糖尿病患者的生物标志物。糖尿病人呼出的丙酮浓度高于健康人。半导体气体传感器为糖尿病患者的低浓度呼吸丙酮提供了一种准确的无创检测方法，但其选择性存在缺陷。为了准确检测呼出气中呼出的丙酮浓度，本文提出了一种基于分离通道和半导体气体传感器的丙酮检测器。二氧化碳、丙酮和乙醇在分离通道中通过气相色谱 (GC) 柱进行模拟和分离。二氧化碳、呼出的丙酮和乙醇在室温下的分离时间分别为25 s、236 s和574 s。二氧化碳、丙酮、在分时转换开关的控制下，乙醇流入三个气体检测通道。然后，半导体气体传感器可以准确检测二氧化碳、丙酮和乙醇。可在 5 分钟内测量低至 1 ppm 的呼出丙酮，而不会产生任何干扰。基于气相色谱和半导体技术的高选择性丙酮检测器具有以非侵入方式监测和检测糖尿病以及安全驾驶的潜力。