Evidence map›Paper›PMID 40166092›Full record

ReviewFundamental research2025

Recent advances in bio-integrated electrochemical sensors for neuroengineering.

Shulin Chen, Tzu-Li Liu, Yizhen Jia, Jinghua Li

Abstract readReview
In one paragraph

Review in Fundamental research, 2025. 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. Article
  3. Review
  4. pH-dependent rGO/Cu-CuRSC advances · 2026
    Article
  5. Review
  6. Review
  7. Article
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.

Shulin ChenDepartment of Materials Science and Engineering, The Ohio State University, Columbus, OH 43210, USA.
Tzu-Li LiuDepartment of Materials Science and Engineering, The Ohio State University, Columbus, OH 43210, USA.
Yizhen JiaDepartment of Materials Science and Engineering, The Ohio State University, Columbus, OH 43210, USA.
Jinghua LiDepartment of Materials Science and Engineering, The Ohio State University, Columbus, OH 43210, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detecting and diagnosing neurological diseases in modern healthcare presents substantial challenges that directly impact patient outcomes. The complex nature of these conditions demands precise and quantitative monitoring of disease-associated biomarkers in a continuous, real-time manner. Current chemical sensing strategies exhibit restricted clinical effectiveness due to labor-intensive laboratory analysis prerequisites, dependence on clinician expertise, and prolonged and recurrent interventions. Bio-integrated electronics for chemical sensing is an emerging, multidisciplinary field enabled by rapid advances in electrical engineering, biosensing, materials science, analytical chemistry, and biomedical engineering. This review presents an overview of recent progress in bio-integrated electrochemical sensors, with an emphasis on their relevance to neuroengineering and neuromodulation. It traverses vital neurological biomarkers and explores bio-recognition elements, sensing strategies, transducer designs, and wireless signal transmission methods. The integration of

Indexed as

Analytical chemistryBiochemical sensingBioimplantsBio-integrated electronicsNeuroengineering

Identifiers

PMID40166092
PMCPMC11955048

What OpenQuestion holds

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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 OpenQuestion graph.