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用于传感器应用的具有不同形态的氧化锌纳米物体阵列的形成。

Arrays Formation of Zinc Oxide Nano-Objects with Varying Morphology for Sensor Applications.

作者信息

Murzin Serguei P, Kazanskiy Nikolay L

机构信息

Samara National Research University, Moskovskoe Shosse 34, 443086 Samara, Russia.

Institute of Production Engineering and Photonic Technologies, TU Wien, Getreidemarkt 9, 1060 Vienna, Austria.

出版信息

Sensors (Basel). 2020 Sep 29;20(19):5575. doi: 10.3390/s20195575.

DOI:10.3390/s20195575
PMID:33003359
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7582840/
Abstract

The regularities and features of the formation of arrays of zinc oxide nano-objects with varying morphology are determined by CO laser processing with intensification of diffusion processes in the solid state of Cu-Zn metallic materials which are selectively oxidizable. In the process of laser treatment in air using the synergy of heat exposure and vibrations induced by laser with a force fundamental frequency of 100 Hz, the brass surface of samples is oxidized mainly with the generation of ZnO nanowires. The condition for intensification is the local non-stationary deformation caused by sound waves induced by laser. Upon the initiation of the processes of exfoliation of the initially formed layers on the material surface, apart from a disordered structure, a structure was formed in the central region containing two-dimensional objects made of zinc oxide with characteristic thicknesses of 70-100 nm. Such arrays can provide the potential to create a periodic localized electric field applying direct current, this allows the production of electrically switched diffraction gratings with a variable nature of zones. It has been established that during laser pulse-periodic irradiation on brass, the component of the metal alloy, namely, zinc, will oxidize on the surface in the extent that its diffusion to the surface will be ensured. During laser pulse-periodic heating under conditions of the experiment, the diffusion coefficient was 2-3 times higher than from direct heating and exposure to a temperature of 700 °C. The study of the electrical resistance of the created samples by the contact probe method was performed by the four-point probe method. It was determined that the specific electrical resistance at the center of the sample was 30-40% more than at the periphery. To determine the possibility of using the obtained material based on zinc oxide for the creation of sensors, oxygen was adsorbed on the sample in an oxygen-argon mixture, and then the electrical resistance in the central part was measured. It was found that the adsorbed oxygen increases the electrical resistivity of the sample by 70%. The formation of an oxide layer directly from the metal substrate can solve problem of forming an electrical contact between the gas-sensitive oxide layer and this substrate.

摘要

通过CO激光处理,利用选择性可氧化的Cu-Zn金属材料固态中扩散过程的强化,确定了具有不同形态的氧化锌纳米物体阵列形成的规律和特征。在空气中进行激光处理的过程中,利用热暴露和频率为100 Hz的激光诱导振动的协同作用,样品的黄铜表面主要被氧化,生成氧化锌纳米线。强化的条件是激光诱导的声波引起的局部非平稳变形。在材料表面最初形成的层开始剥落过程中,除了无序结构外,在中心区域形成了一种结构,其中包含由氧化锌制成的二维物体,其特征厚度为70 - 100 nm。这样的阵列具有通过施加直流电来创建周期性局部电场的潜力,这使得能够生产具有可变区域性质的电开关衍射光栅。已经确定,在对黄铜进行激光脉冲周期性辐照期间,金属合金成分即锌将在表面氧化,其程度将确保其扩散到表面。在实验条件下进行激光脉冲周期性加热时,扩散系数比直接加热并暴露于700°C时高2 - 3倍?通过四点探针法采用接触探针法对所制备样品的电阻进行了研究。确定样品中心的比电阻比周边高30 - 40%。为了确定使用所获得的基于氧化锌的材料制造传感器的可能性,在氧气 - 氩气混合物中使氧气吸附在样品上,然后测量中心部分的电阻。发现吸附的氧气使样品的电阻率增加了70%。直接从金属基板形成氧化层可以解决气敏氧化层与该基板之间形成电接触的问题。 ?(原文此处“2 - 3 times higher than from direct heating and exposure to a temperature of 700 °C.”表述似乎不太准确完整,疑有误,但按要求未作修改翻译)

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/d8478bf7edb5/sensors-20-05575-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/93f7b776eff8/sensors-20-05575-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/c4bc008479ce/sensors-20-05575-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/1453812ecb75/sensors-20-05575-g007.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/71c81b698aac/sensors-20-05575-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/1a911ccb8b0b/sensors-20-05575-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/d8478bf7edb5/sensors-20-05575-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/a569d109e167/sensors-20-05575-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/b1c7dbe2f7ea/sensors-20-05575-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/13e1377c5d93/sensors-20-05575-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/f28ec817da6c/sensors-20-05575-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/93f7b776eff8/sensors-20-05575-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/c4bc008479ce/sensors-20-05575-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/1453812ecb75/sensors-20-05575-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/ee0af49026b0/sensors-20-05575-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/1df1b775a0ab/sensors-20-05575-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/71c81b698aac/sensors-20-05575-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/1a911ccb8b0b/sensors-20-05575-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dbdd/7582840/d8478bf7edb5/sensors-20-05575-g012.jpg

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