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Portable FBAR based E-nose for cold chain real-time bananas shelf time detection

Journal 2023 · IF 3.7 · 6(1) · 发表于 2023 年 1 月 17 日
作者: Wu Chen,Li Jiuyan
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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. A compact FBAR-based E-nose was built for gas sensing. A portable field-programmable gate array (FPGA) circuit was used for FBAR frequency testing instead of a traditional PC-sized vector network analyzer (VNA). The sensitivity 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. With the help of a reference FBAR and the low FBAR temperature drift, the E-nose reduces the drift caused by its surroundings. Also, the LBL coating method was used to increase the FBAR sensitivity. As a result, the E-nose can realize real-time banana shelf-time detection and can easily discriminate between yellow bananas with green necks and entirely yellow bananas.

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