用于风险预测的快速血液筛查试验的智能CMOS分析SoC

IF 3.8 2区 医学 Q2 ENGINEERING, BIOMEDICAL IEEE Transactions on Biomedical Circuits and Systems Pub Date : 2015-12-01 DOI:10.1109/TBCAS.2015.2507618
Po-Hung Kuo, Jui-Chang Kuo, Hsiao-Ting Hsueh, J. Hsieh, Yi-Chun Huang, Tao Wang, Yen-Hung Lin, Chih-Ting Lin, Yao-Joe Yang, Shey-Shi Lu
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引用次数: 10

摘要

采用0.35 μm CMOS技术实现了微控制器(MCU)辅助免疫分析的片上实验室。单片机自动控制检测过程,包括通过无孔氧化铝膜过滤血液、抗体附着在磁珠上的双分子偶联、电解泵送、磁冲洗和基于霍尔传感器阵列读出分析的阈值检测。为了验证该芯片的功能,在体外进行肿瘤坏死因子- α (TNF- α)和n端前脑利钠肽(NT-proBNP)测试。与现有技术相比,该技术的成本、效率和便携性都有了很大的提高。
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A Smart CMOS Assay SoC for Rapid Blood Screening Test of Risk Prediction
A micro-controller unit (MCU) assisted immunoassay lab-on-a-chip is realized in 0.35 μm CMOS technology. The MCU automatically controls the detection procedure including blood filtration through a nonporous aluminum oxide membrane, bimolecular conjugation with antibodies attached to magnetic beads, electrolytic pumping, magnetic flushing and threshold detection based on Hall sensor array readout analysis. To verify the function of this chip, in-vitro Tumor necrosis factor- α (TNF- α) and N-terminal pro-brain natriuretic peptide (NT-proBNP) tests are performed by this 9 mm 2-sized single chip. The cost, efficiency and portability are considerably improved compared to the prior art.
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来源期刊
IEEE Transactions on Biomedical Circuits and Systems
IEEE Transactions on Biomedical Circuits and Systems 工程技术-工程:电子与电气
CiteScore
10.00
自引率
13.70%
发文量
174
审稿时长
3 months
期刊介绍: The IEEE Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems Society to a wide variety of related areas such as: • Bioelectronics • Implantable and wearable electronics like cochlear and retinal prosthesis, motor control, etc. • Biotechnology sensor circuits, integrated systems, and networks • Micropower imaging technology • BioMEMS • Lab-on-chip Bio-nanotechnology • Organic Semiconductors • Biomedical Engineering • Genomics and Proteomics • Neuromorphic Engineering • Smart sensors • Low power micro- and nanoelectronics • Mixed-mode system-on-chip • Wireless technology • Gene circuits and molecular circuits • System biology • Brain science and engineering: such as neuro-informatics, neural prosthesis, cognitive engineering, brain computer interface • Healthcare: information technology for biomedical, epidemiology, and other related life science applications. General, theoretical, and application-oriented papers in the abovementioned technical areas with a Circuits and Systems perspective are encouraged to publish in TBioCAS. Of special interest are biomedical-oriented papers with a Circuits and Systems angle.
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