15.7用于多巴胺检测的异构集成cmos -石墨烯传感器阵列

B. Nasri, Ting Wu, A. Alharbi, Mayank Gupta, RamKumar RanjithKumar, Sunit P. Sebastian, Yue Wang, R. Kiani, D. Shahrjerdi
{"title":"15.7用于多巴胺检测的异构集成cmos -石墨烯传感器阵列","authors":"B. Nasri, Ting Wu, A. Alharbi, Mayank Gupta, RamKumar RanjithKumar, Sunit P. Sebastian, Yue Wang, R. Kiani, D. Shahrjerdi","doi":"10.1109/ISSCC.2017.7870364","DOIUrl":null,"url":null,"abstract":"Understanding dopamine (DA) signaling in the brain is essential for advancing our knowledge of pathological disorders such as drug addiction, Parkinson's disease, and schizophrenia. Currently, fast-scan cyclic voltammetry (FSCV) with carbon microfiber (CMF) electrodes is the method of choice in neuroscience labs for monitoring the concentration of phasic (transient) DA release. This method offers sub-second temporal resolution and high specificity because the signal of interest occurs at a known potential. However, existing CMF electrodes are bulky, limiting the spatial resolution to single-site measurements. Further, they are produced through manual processes (e.g. cutting CMFs under optical microscope), thus introducing significant device variability [1]. Lastly, when long probes (3-to-5cm) are used to monitor DA release in deep brain structures of large animals, environmental noise severely diminishes the detection limit [1]. To address these problems, we combine advances in nanofabrication with silicon chip manufacturing to create a heterogeneous integrated CMOS-graphene sensor for accurate measurement of DA with high spatiotemporal resolution (Fig. 15.7.1).","PeriodicalId":269679,"journal":{"name":"2017 IEEE International Solid-State Circuits Conference (ISSCC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"15.7 Heterogeneous integrated CMOS-graphene sensor array for dopamine detection\",\"authors\":\"B. Nasri, Ting Wu, A. Alharbi, Mayank Gupta, RamKumar RanjithKumar, Sunit P. Sebastian, Yue Wang, R. Kiani, D. Shahrjerdi\",\"doi\":\"10.1109/ISSCC.2017.7870364\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Understanding dopamine (DA) signaling in the brain is essential for advancing our knowledge of pathological disorders such as drug addiction, Parkinson's disease, and schizophrenia. Currently, fast-scan cyclic voltammetry (FSCV) with carbon microfiber (CMF) electrodes is the method of choice in neuroscience labs for monitoring the concentration of phasic (transient) DA release. This method offers sub-second temporal resolution and high specificity because the signal of interest occurs at a known potential. However, existing CMF electrodes are bulky, limiting the spatial resolution to single-site measurements. Further, they are produced through manual processes (e.g. cutting CMFs under optical microscope), thus introducing significant device variability [1]. Lastly, when long probes (3-to-5cm) are used to monitor DA release in deep brain structures of large animals, environmental noise severely diminishes the detection limit [1]. To address these problems, we combine advances in nanofabrication with silicon chip manufacturing to create a heterogeneous integrated CMOS-graphene sensor for accurate measurement of DA with high spatiotemporal resolution (Fig. 15.7.1).\",\"PeriodicalId\":269679,\"journal\":{\"name\":\"2017 IEEE International Solid-State Circuits Conference (ISSCC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE International Solid-State Circuits Conference (ISSCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSCC.2017.7870364\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE International Solid-State Circuits Conference (ISSCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSCC.2017.7870364","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

了解大脑中的多巴胺(DA)信号对于提高我们对药物成瘾、帕金森病和精神分裂症等病理性疾病的认识至关重要。目前,使用碳纤维(CMF)电极的快速扫描循环伏安法(FSCV)是神经科学实验室监测相(瞬态)DA释放浓度的首选方法。该方法提供亚秒级的时间分辨率和高特异性,因为感兴趣的信号发生在已知的电位。然而,现有的CMF电极体积庞大,限制了单点测量的空间分辨率。此外,它们是通过手工工艺生产的(例如在光学显微镜下切割CMFs),从而引入了显著的器件可变性[1]。最后,当使用长探针(3- 5cm)监测大型动物脑深部结构DA释放时,环境噪声严重降低了检测极限[1]。为了解决这些问题,我们将纳米制造技术与硅芯片制造技术相结合,创造了一种异构集成cmos -石墨烯传感器,用于高时空分辨率的DA精确测量(图15.7.1)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
15.7 Heterogeneous integrated CMOS-graphene sensor array for dopamine detection
Understanding dopamine (DA) signaling in the brain is essential for advancing our knowledge of pathological disorders such as drug addiction, Parkinson's disease, and schizophrenia. Currently, fast-scan cyclic voltammetry (FSCV) with carbon microfiber (CMF) electrodes is the method of choice in neuroscience labs for monitoring the concentration of phasic (transient) DA release. This method offers sub-second temporal resolution and high specificity because the signal of interest occurs at a known potential. However, existing CMF electrodes are bulky, limiting the spatial resolution to single-site measurements. Further, they are produced through manual processes (e.g. cutting CMFs under optical microscope), thus introducing significant device variability [1]. Lastly, when long probes (3-to-5cm) are used to monitor DA release in deep brain structures of large animals, environmental noise severely diminishes the detection limit [1]. To address these problems, we combine advances in nanofabrication with silicon chip manufacturing to create a heterogeneous integrated CMOS-graphene sensor for accurate measurement of DA with high spatiotemporal resolution (Fig. 15.7.1).
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信