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具有单片CMOS读出功能的晶圆级石墨烯场效应晶体管生物传感器阵列

Wafer-Scale Graphene Field-Effect Transistor Biosensor Arrays with Monolithic CMOS Readout.

作者信息

Soikkeli Miika, Murros Anton, Rantala Arto, Txoperena Oihana, Kilpi Olli-Pekka, Kainlauri Markku, Sovanto Kuura, Maestre Arantxa, Centeno Alba, Tukkiniemi Kari, Gomes Martins David, Zurutuza Amaia, Arpiainen Sanna, Prunnila Mika

机构信息

VTT Technical Research Centre of Finland Ltd, P.O. Box 1000, FI-02044 VTT, Espoo, Finland.

Graphenea Semiconductor SLU, Paseo Mikeletegi 83, 20009-San Sebastian, Spain.

出版信息

ACS Appl Electron Mater. 2023 Aug 24;5(9):4925-4932. doi: 10.1021/acsaelm.3c00706. eCollection 2023 Sep 26.

DOI:10.1021/acsaelm.3c00706
PMID:37779890
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10536967/
Abstract

The reliability of analysis is becoming increasingly important as point-of-care diagnostics are transitioning from single-analyte detection toward multiplexed multianalyte detection. Multianalyte detection benefits greatly from complementary metal-oxide semiconductor (CMOS) integrated sensing solutions, offering miniaturized multiplexed sensing arrays with integrated readout electronics and extremely large sensor counts. The development of CMOS back end of line integration compatible graphene field-effect transistor (GFET)-based biosensing has been rapid during the past few years, in terms of both the fabrication scale-up and functionalization toward biorecognition from real sample matrices. The next steps in industrialization relate to improving reliability and require increased statistics. Regarding functionalization toward truly quantitative sensors, on-chip bioassays with improved statistics require sensor arrays with reduced variability in functionalization. Such multiplexed bioassays, whether based on graphene or on other sensitive nanomaterials, are among the most promising technologies for label-free electrical biosensing. As an important step toward that, we report wafer-scale fabrication of CMOS-integrated GFET arrays with high yield and uniformity, designed especially for biosensing applications. We demonstrate the operation of the sensing platform array with 512 GFETs in simultaneous detection for the sodium chloride concentration series. This platform offers a truly statistical approach on GFET-based biosensing and further to quantitative and multianalyte sensing. The reported techniques can also be applied to other fields relying on functionalized GFETs, such as gas or chemical sensing or infrared imaging.

摘要

随着即时诊断从单分析物检测向多分析物检测转变,分析的可靠性变得越来越重要。多分析物检测从互补金属氧化物半导体(CMOS)集成传感解决方案中受益匪浅,该方案提供了具有集成读出电子器件和极大量传感器的小型化多分析物传感阵列。在过去几年中,基于石墨烯场效应晶体管(GFET)的生物传感的CMOS后端线集成技术发展迅速,在制造规模扩大以及针对实际样品基质的生物识别功能化方面均有所进展。工业化的下一步涉及提高可靠性,这需要增加统计数据。关于向真正的定量传感器的功能化,具有改进统计数据的片上生物测定需要功能化变异性降低的传感器阵列。这种多分析物生物测定,无论是基于石墨烯还是基于其他敏感纳米材料,都是无标记电化学生物传感最有前途的技术之一。作为朝着这一目标迈出的重要一步,我们报告了专门为生物传感应用设计的具有高产量和均匀性的CMOS集成GFET阵列的晶圆级制造。我们展示了具有512个GFET的传感平台阵列在同时检测氯化钠浓度系列中的操作。该平台为基于GFET的生物传感提供了一种真正的统计方法,并进一步实现了定量和多分析物传感。所报道的技术也可以应用于依赖功能化GFET的其他领域,如气体或化学传感或红外成像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c79d/10536967/44faf2ed606f/el3c00706_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c79d/10536967/1a7327375ed5/el3c00706_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c79d/10536967/966480a5b882/el3c00706_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c79d/10536967/a1a99f426573/el3c00706_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c79d/10536967/dd96640525bb/el3c00706_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c79d/10536967/915a1e57ffcf/el3c00706_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c79d/10536967/44faf2ed606f/el3c00706_0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c79d/10536967/1a7327375ed5/el3c00706_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c79d/10536967/966480a5b882/el3c00706_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c79d/10536967/a1a99f426573/el3c00706_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c79d/10536967/dd96640525bb/el3c00706_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c79d/10536967/915a1e57ffcf/el3c00706_0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c79d/10536967/44faf2ed606f/el3c00706_0006.jpg

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