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使用 SU-8 光致抗蚀剂结构和细胞色素 C 薄膜传感材料制作微测辐射热计。

Using an SU-8 photoresist structure and cytochrome C thin film sensing material for a microbolometer.

机构信息

Graduate Institute of Photonics and Optoelectronics, National Taiwan University, No. 1, Roosevelt Road, Section 4, Taipei 106, Taiwan.

出版信息

Sensors (Basel). 2012 Nov 27;12(12):16390-403. doi: 10.3390/s121216390.

DOI:10.3390/s121216390
PMID:23443384
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3571788/
Abstract

There are two critical parameters for microbolometers: the temperature coefficient of resistance (TCR) of the sensing material, and the thermal conductance of the insulation structure. Cytochrome c protein, having a high TCR, is a good candidate for infrared detection. We can use SU-8 photoresist for the thermal insulation structure, given its low thermal conductance. In this study, we designed a platform structure based on a SU-8 photoresist. We fabricated an infrared sensing pixel and recorded a high TCR for this new structure. The SU-8 photoresist insulation structure was fabricated using the exposure dose method. We experimentally demonstrated high values of TCR from 22%/K to 25.7%/K, and the measured noise was 1.2 × 10(-8) V2/Hz at 60 Hz. When the bias current was 2 μA, the calculated voltage responsivity was 1.16 × 10(5) V/W. This study presents a new kind of microbolometer based on cytochrome c protein on top of an SU-8 photoresist platform that does not require expensive vacuum deposition equipment.

摘要

对于微测辐射热计来说,有两个关键参数:敏感材料的电阻温度系数(TCR)和绝缘结构的热导。细胞色素 c 蛋白具有较高的 TCR,是红外探测的理想候选材料。我们可以使用 SU-8 光刻胶作为热绝缘结构,因为它的热导较低。在这项研究中,我们设计了一个基于 SU-8 光刻胶的平台结构。我们制造了一个红外感应像素,并记录了这种新结构的高 TCR。SU-8 光刻胶绝缘结构采用曝光剂量法制造。我们通过实验证明了 TCR 从 22%/K 到 25.7%/K 的高值,在 60 Hz 时测量的噪声为 1.2×10(-8) V2/Hz。当偏置电流为 2 μA 时,计算出的电压响应率为 1.16×10(5) V/W。本研究提出了一种新型的微测辐射热计,它基于 SU-8 光刻胶平台上的细胞色素 c 蛋白,不需要昂贵的真空沉积设备。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/0b4e108215ca/sensors-12-16390f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/248d82bc083b/sensors-12-16390f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/3ac79783ef4d/sensors-12-16390f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/2c683f7dcab5/sensors-12-16390f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/c472a7826d9a/sensors-12-16390f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/7577548b53cd/sensors-12-16390f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/5a87889d81d8/sensors-12-16390f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/d8ec3e0954ed/sensors-12-16390f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/02524a811302/sensors-12-16390f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/d3506af940a7/sensors-12-16390f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/7865aa3ec75c/sensors-12-16390f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/88e8f9d947b1/sensors-12-16390f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/ee49d8a849d8/sensors-12-16390f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/0b4e108215ca/sensors-12-16390f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/248d82bc083b/sensors-12-16390f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/3ac79783ef4d/sensors-12-16390f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/2c683f7dcab5/sensors-12-16390f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/c472a7826d9a/sensors-12-16390f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/7577548b53cd/sensors-12-16390f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/5a87889d81d8/sensors-12-16390f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/d8ec3e0954ed/sensors-12-16390f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/02524a811302/sensors-12-16390f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/d3506af940a7/sensors-12-16390f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/7865aa3ec75c/sensors-12-16390f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/88e8f9d947b1/sensors-12-16390f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/ee49d8a849d8/sensors-12-16390f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3f8/3571788/0b4e108215ca/sensors-12-16390f13.jpg

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本文引用的文献

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Biomaterial-based infrared detection.基于生物材料的红外检测。
Bioinspir Biomim. 2008 Sep;3(3):035007. doi: 10.1088/1748-3182/3/3/035007. Epub 2008 Jul 31.
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Sci Rep. 2015 Jun 11;5:11328. doi: 10.1038/srep11328.