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基于多孔硅、镍掺杂多孔硅及金属氧化物的分级多孔纳米材料用于气体传感器的阻抗谱

Impedance Spectroscopy of Hierarchical Porous Nanomaterials Based on por-Si, por-Si Incorporated by Ni and Metal Oxides for Gas Sensors.

作者信息

Bobkov Anton, Luchinin Victor, Moshnikov Vyacheslav, Nalimova Svetlana, Spivak Yulia

机构信息

Department of Micro- and Nanoelectronics, Saint Petersburg Electrotechnical University "LETI", Professor Popov Str. 5, 197376 St. Petersburg, Russia.

出版信息

Sensors (Basel). 2022 Feb 16;22(4):1530. doi: 10.3390/s22041530.

DOI:10.3390/s22041530
PMID:35214428
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8877289/
Abstract

Approaches are being developed to create composite materials with a fractal-percolation structure based on intercalated porous matrices to increase the sensitivity of adsorption gas sensors. Porous silicon, nickel-containing porous silicon, and zinc oxide have been synthesized as materials for such structures. Using the impedance spectroscopy method, it has been shown that the obtained materials demonstrate high sensitivity to organic solvent vapors and can be used in gas sensors. A model is proposed that explains the high sensitivity and inductive nature of the impedance at low frequencies, considering the structural features and fractal-percolation properties of the obtained oxide materials.

摘要

正在开发基于插层多孔基质创建具有分形渗流结构的复合材料的方法,以提高吸附气体传感器的灵敏度。已合成多孔硅、含镍多孔硅和氧化锌作为此类结构的材料。使用阻抗谱法表明,所获得的材料对有机溶剂蒸汽具有高灵敏度,可用于气体传感器。考虑到所获得的氧化物材料的结构特征和分形渗流特性,提出了一个模型来解释低频下阻抗的高灵敏度和电感性质。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/b324ff8a3360/sensors-22-01530-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/cbfc566efecb/sensors-22-01530-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/8a0a2068e62c/sensors-22-01530-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/128f9f94446d/sensors-22-01530-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/75544b80b894/sensors-22-01530-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/cbbab59323cb/sensors-22-01530-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/03302be0f4ab/sensors-22-01530-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/cb6455d3233f/sensors-22-01530-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/0a7d9b24bd7a/sensors-22-01530-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/b324ff8a3360/sensors-22-01530-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/cbfc566efecb/sensors-22-01530-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/8a0a2068e62c/sensors-22-01530-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/128f9f94446d/sensors-22-01530-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/75544b80b894/sensors-22-01530-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/cbbab59323cb/sensors-22-01530-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/03302be0f4ab/sensors-22-01530-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/cb6455d3233f/sensors-22-01530-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/0a7d9b24bd7a/sensors-22-01530-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6c1/8877289/b324ff8a3360/sensors-22-01530-g009.jpg

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