Evidence map›Paper›PMID 40137620›Full record

ArticleNanomaterials (Basel, Switzerland)2025

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

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

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Lidan YanHunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan 411105, China.
Yang ZhangSchool of Integrated Circuits, Beijing University of Posts and Telecommunications, Beijing 100876, China.
Zhibiao ZhuHunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan 411105, China.ORCID 0009-0003-4264-8892
Yuqi LiangKey Laboratory for the Physics and Chemistry of Nanodevices and Center, Carbon-Based Electronics School, Electronics Peking University, Beijing 100871, China.
Mengmeng XiaoHunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan 411105, China.

Funding

National Key Research & Development Program 2023YFB3211200National Natural Science Foundation of China 62174007National Natural Science Foundation of China 62225101
6 · The paper itself

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.

Indexed as

biosensorscarbon nanotubeCNT FETion sensorsISFETneurological disorders

Identifiers

PMID40137620
PMCPMC11945060

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.