B. Nasri, Ting Wu, A. Alharbi, Mayank Gupta, RamKumar RanjithKumar, Sunit P. Sebastian, Yue Wang, R. Kiani, D. Shahrjerdi
{"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}
引用次数: 7
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).