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机构地区:[1]Frontier Science Center for Smart Materials,College of Chemical Engineering,Dalian University of Technology,Dalian 116024,China [2]Shandong Laboratory of Yantai Advanced Materials and Green Manufacturing,Yantai Economic and Technological Development Zone,300 Changjiang Road,Yantai,China
出 处:《Nanotechnology and Precision Engineering》2023年第1期32-39,共8页纳米技术与精密工程(英文)
基 金:supported financially by the National Natural Science Foundation of China (Grant Nos.22078051 and U1801258);the Fundamental Research Funds for the Central Universities (Grant No.DUT22LAB610).
摘 要:Being cheap,nondestructive,and easy to use,gas sensors play important roles in the food industry.However,most gas sensors are suitable more for laboratory-quality fast testing rather than for cold-chain continuous and cumulative testing.Also,an ideal electronic nose(E-nose)in a cold chain should be stable to its surroundings and remain highly accurate and portable.In this work,a portable film bulk acoustic resonator(FBAR)-based E-nose was built for real-time measurement of banana shelf time.The sensor chamber to contain the portable circuit of the E-nose is as small as a smartphone,and by introducing an air-tight FBAR as a reference,the E-nose can avoid most of the drift caused by surroundings.With the help of porous layer by layer(LBL)coating of the FBAR,the sensitivity of the E-nose is 5 ppm to ethylene and 0.5 ppm to isoamyl acetate and isoamyl butyrate,while the detection range is large enough to cover a relative humidity of 0.8.In this regard,the E-nose can easily discriminate between yellow bananas with green necks and entirely yellow bananas while allowing the bananas to maintain their biological activities in their normal storage state,thereby showing the possibility of real-time shelf time detection.This portable FBAR-based E-nose has a large testing scale,high sensitivity,good humidity tolerance,and low frequency drift to its surroundings,thereby meeting the needs of cold-chain usage.
关 键 词:Film bulk acoustic resonator(FBAR) Portable E-nose Real-time detection Layer by layer
分 类 号:TS255.3[轻工技术与工程—农产品加工及贮藏工程]
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