Evidence map›Paper›PMID 36979538›Full record

ReviewBiosensors2023

Toward the Commercialization of Carbon Nanotube Field Effect Transistor Biosensors.

Zhongyu Li, Mengmeng Xiao, Chuanhong Jin, Zhiyong Zhang

Full text readReview
In one paragraph

Review in Biosensors, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Review
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  5. Review
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  7. 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

4 authors.

Zhongyu LiHunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan 411105, China.
Mengmeng XiaoHunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan 411105, China.
Chuanhong JinHunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan 411105, China.
Zhiyong ZhangHunan Institute of Advanced Sensing and Information Technology, Xiangtan University, Xiangtan 411105, China.

Funding

Jihua Laboratory Project No. X210141TL210the Basic and Applied Basic Research Major Programme of Guangdong Province, China Grant number: 2021B0301030003the National Key Research & Development Program Grant No. 2022YFB3204402the National Natural Science Foundation of China Grant No. 62174007
6 · The paper itself

Abstract

The development of biosensors based on field-effect transistors (FETs) using atomically thick carbon nanotubes (CNTs) as a channel material has the potential to revolutionize the related field due to their small size, high sensitivity, label-free detection, and real-time monitoring capabilities. Despite extensive research efforts to improve the sensitivity, selectivity, and practicality of CNT FET-based biosensors, their commercialization has not yet been achieved due to the non-uniform and unstable device performance, difficulties in their fabrication, the immaturity of sensor packaging processes, and a lack of reliable modification methods. This review article focuses on the practical applications of CNT-based FET biosensors for the detection of ultra-low concentrations of biologically relevant molecules. We discuss the various factors that affect the sensors' performance in terms of materials, device architecture, and sensor packaging, highlighting the need for a robust commercial process that prioritizes product performance. Additionally, we review recent advances in the application of CNT FET biosensors for the ultra-sensitive detection of various biomarkers. Finally, we examine the key obstacles that currently hinder the large-scale deployment of these biosensors, aiming to identify the challenges that must be addressed for the future industrialization of CNT FET sensors.

Indexed as

Biosensing TechniquesNanotubes, CarbonBiomarkersTransistors, ElectronicBiomarkersNanotubes, Carbonbiosensorscarbon nanotubecommercializationfield effect transistor

Identifiers

PMID36979538
PMCPMC10046102

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read11
table measurements read4
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 OpenQuestion graph.