Evidence map›Paper›PMID 40277545›Full record

ReviewBiosensors2025

Research Progress of Electrochemical Biosensors for Diseases Detection in China: A Review.

Haoran Cui, Xianglin Xin, Jing Su, Shiping Song

Abstract readReview
In one paragraph

Review in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. CD4Sensors (Basel, Switzerland) · 2026
    Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. 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.

Haoran CuiInstitute of Materiobiology, College of Science, Shanghai University, Shanghai 200444, China.
Xianglin XinInstitute of Materiobiology, College of Science, Shanghai University, Shanghai 200444, China.
Jing SuSchool of Perfume and Aroma Technology, Shanghai Institute of Technology, No. 100 Haiquan Road, Shanghai 201418, China.ORCID 0000-0002-4952-5225
Shiping SongInstitute of Materiobiology, College of Science, Shanghai University, Shanghai 200444, China.ORCID 0000-0002-0791-8012

Funding

National Key Research and Development Program of China 2023YFB3208200National Natural Science foundation of China 21974147
6 · The paper itself

Abstract

Disease diagnosis is not only related to individual health but is also a crucial part of public health prevention. Electrochemical biosensors combine the high sensitivity of electrochemical methods with the inherent high selectivity of biological components, offering advantages such as excellent sensitivity, fast response time, and low cost. The generated electrical signals have a linear relationship with the target analyte, allowing for identification and concentration detection. This has become a very attractive technology. This review offers a summary of recent advancements in electrochemical biosensor research for disease diagnosis in China. It systematically categorizes and summarizes biosensors developed in China for detecting cancer, infectious diseases, inflammation, and neurodegenerative disorders. Additionally, the review delves into the fundamental working principles, classifications, materials, preparation techniques, and other critical aspects of electrochemical biosensors. Finally, it addresses the key challenges impeding the advancement of electrochemical biosensors in China and examines promising future directions for their development.

Indexed as

Biosensing TechniquesElectrochemical TechniquesChinaCommunicable DiseasesHumansNeoplasmsNeurodegenerative DiseasesbiomarkersChinadisease diagnosiselectrochemical biosensor

Identifiers

PMID40277545
PMCPMC12024860

What OpenQuestion 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 OpenQuestion graph.