Evidence map›Paper›PMID 40710084›Full record

ReviewBiosensors2025

Enhancing ELISA Sensitivity: From Surface Engineering to Synthetic Biology.

Hye-Bin Jeon, Dong-Yeon Song, Yu Jin Park, Dong-Myung Kim

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 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
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  6. Review
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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.

Hye-Bin JeonDepartment of Chemical Engineering and Applied Chemistry, Chungnam National University, Daejeon 34134, Republic of Korea.
Dong-Yeon SongDepartment of Chemical Engineering and Applied Chemistry, Chungnam National University, Daejeon 34134, Republic of Korea.ORCID 0009-0009-7223-0095
Yu Jin ParkDepartment of Chemical Engineering and Applied Chemistry, Chungnam National University, Daejeon 34134, Republic of Korea.
Dong-Myung KimDepartment of Chemical Engineering and Applied Chemistry, Chungnam National University, Daejeon 34134, Republic of Korea.

Funding

Chungnam National University Chungnam National University Research FundNational Research Foundation of Korea RS-2024-00439931
6 · The paper itself

Abstract

Accurate and sensitive detection of protein biomarkers is critical for advancing in vitro diagnostics (IVD), yet conventional enzyme-linked immunosorbent assays (ELISA) often fall short in terms of sensitivity compared to nucleic acid-based tests. Bridging this sensitivity gap is essential for improving diagnostic accuracy, particularly in diseases where protein levels better reflect disease progression than nucleic acid biomarkers. In this review, we present strategies developed to enhance the sensitivity of ELISA, structured according to the sequential steps of the assay workflow. Beginning with surface modifications, we then discuss the methodologies to improve mixing and washing efficiency, followed by a summary of recent advances in signal generation and amplification techniques. In particular, we highlight the emerging role of cell-free synthetic biology in augmenting ELISA sensitivity. Recent developments such as expression immunoassays, CRISPR-linked immunoassays (CLISA), and T7 RNA polymerase-linked immunosensing assays (TLISA) demonstrate how programmable nucleic acid and protein synthesis systems can be integrated into ELISA workflows to surpass the present sensitivity, affordability, and accessibility. By combining synthetic biology-driven amplification and signal generation mechanisms with traditional immunoassay formats, ELISA is poised to evolve into a highly modular and adaptable diagnostic platform, representing a significant step toward the next generation of highly sensitive and programmable immunoassays.

Indexed as

Biosensing TechniquesSynthetic BiologyBiomarkersEnzyme-Linked Immunosorbent AssayHumansBiomarkersbiomarkercell-free synthetic biologyenzyme-linked immunosorbent assay (ELISA)in vitro diagnosticsensitivity

Identifiers

PMID40710084
PMCPMC12293621

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Registered trials

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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.