石英晶体微天平
纳米复合材料
甲醛
材料科学
碳纳米管
胺气处理
纳米管
化学工程
石英
Crystal(编程语言)
复合材料
有机化学
化学
吸附
计算机科学
工程类
程序设计语言
作者
Shihao Chen,Xiaoyi Duan,Pei Li,Dianbin Su,Xia Sun,Yemin Guo,Wei Chen,Sheng Wang
出处
期刊:ACS applied nano materials
[American Chemical Society]
日期:2024-02-09
卷期号:7 (4): 4120-4129
被引量:1
标识
DOI:10.1021/acsanm.3c05682
摘要
Amine gases and formaldehyde (HCHO) have been used as typical indicators to monitor the quality of marine fish products. However, current detection methods are time-consuming and complicated to preprocess and have limitations such as high technicality requirements. Therefore, developing a sensor capable of simultaneously detecting multiple amine gases and HCHO with high performance in a simple way remains a significant challenge. In this paper, trimethylamine (TMA), dimethylamine (DMA), ammonia gas (NH3), and HCHO were tested by a quartz crystal microbalance (QCM) gas sensor modified with a UiO-66/multi-walled carbon nanotube (MWCNT) nanocomposite. The sensor was operated at room temperature (25 °C) and fixed humidity (35% RH), and the results showed that the limits of detection of the QCM gas sensor for TMA, DMA, NH3, and HCHO were 0.32, 0.52, 1.02, and 2.4 μmoL L–1, respectively. At the same time, our sensor could be reused more than ten times without degradation of sensor signals and showed high stability even after a long storage period of up to 2 months. The adsorption mechanism of the UiO-66/MWCNT nanocomposite-based QCM gas sensor toward the target gases was simulated. Ultimately, salmon meat was examined using the sensor that had been prepared, and the detection outcomes were contrasted with the findings from the Kjeldahl nitrogen determination. The results indicated that refrigerated salmon began emitting target gases on the second day and gradually increased thereafter. By the fifth day, the concentration of the target gases reached the point of complete spoilage. Our platform may be a promising platform for basic research and versatile practical applications in food quality assessments.
科研通智能强力驱动
Strongly Powered by AbleSci AI