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用于神经疾病中多离子检测的具有近能斯特灵敏度的稳健碳纳米管晶体管离子传感器。

Robust Carbon Nanotube Transistor Ion Sensors with Near-Nernstian Sensitivity for Multi-Ion Detection in Neurological Diseases.

作者信息

Yan Lidan, Zhang Yang, Zhu Zhibiao, Liang Yuqi, Xiao Mengmeng

机构信息

Hunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan 411105, China.

School of Integrated Circuits, Beijing University of Posts and Telecommunications, Beijing 100876, China.

出版信息

Nanomaterials (Basel). 2025 Mar 15;15(6):447. doi: 10.3390/nano15060447.

Abstract

Accurate monitoring of sodium and potassium ions in biological fluids is crucial for diseases related to electrolyte imbalance. Low-dimensional materials such as carbon nanotubes can be used to construct biochemical sensors based on high-performance field effect transistor (FET), but they face the problems of poor device consistency and difficulty in stable and reliable operation. In this work, we mass-produced carbon nanotube (CNT) floating-gate field-effect transistor devices with high uniformity and consistency through micro-/nanofabrication technology to improve the accuracy and reliability of detection without the need for statistical analysis based on machine learning. By introducing waterproof hafnium oxide gate dielectrics on the CNT FET channel, we not only effectively protect the channel area but also significantly improve the stability of the sensor. We have prepared array sensing technology based on CNT FET that can detect potassium, sodium, calcium, and hydrogen ions in artificial cerebrospinal fluid. The detection concentration range is 10 μM-100 mM and pH 3-pH 9, with a sensitivity close to the Nernst limit, and exhibits selective and long-term stable responses. This could help achieve early diagnosis and real-time monitoring of central nervous system diseases, highlighting the potential of this ion-sensing platform for highly sensitive and stable detection of various neurobiological markers.

摘要

准确监测生物流体中的钠离子和钾离子对于与电解质失衡相关的疾病至关重要。碳纳米管等低维材料可用于构建基于高性能场效应晶体管(FET)的生化传感器,但它们面临器件一致性差以及稳定可靠运行困难等问题。在这项工作中,我们通过微纳加工技术大规模生产了具有高均匀性和一致性的碳纳米管(CNT)浮栅场效应晶体管器件,以提高检测的准确性和可靠性,而无需基于机器学习的统计分析。通过在CNT FET沟道上引入防水氧化铪栅介质,我们不仅有效保护了沟道区域,还显著提高了传感器的稳定性。我们制备了基于CNT FET的阵列传感技术,可检测人工脑脊液中的钾、钠、钙和氢离子。检测浓度范围为10 μM - 100 mM,pH值为3 - 9,灵敏度接近能斯特极限,并表现出选择性和长期稳定的响应。这有助于实现中枢神经系统疾病的早期诊断和实时监测,凸显了该离子传感平台对各种神经生物学标志物进行高灵敏度和稳定检测的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d9e/11945060/1eb048dd1772/nanomaterials-15-00447-g0A1.jpg

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