Evidence map›Paper›PMID 40575295›Full record

ReviewJACS Au2025

Advancements and Prospects in DNA-Based Bioanalytical Technology for Environmental Toxicant Detection.

Siqian Liu, Benfeng Xu, Chongyang Li, Yanlin Ren, Hao Gan, Shi Kuang, Chunyang Lei, Zhou Nie

Abstract readReview
In one paragraph

Review in JACS Au, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Siqian LiuState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, P. R. China.
Benfeng XuState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, P. R. China.
Chongyang LiState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, P. R. China.
Yanlin RenState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, P. R. China.
Hao GanState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, P. R. China.
Shi KuangState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, P. R. China.ORCID https://orcid.org/0000-0003-3520-9499
Chunyang LeiState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, P. R. China.ORCID https://orcid.org/0000-0002-3078-5553
Zhou NieState Key Laboratory of Chemo and Biosensing, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha 410082, P. R. China.ORCID https://orcid.org/0000-0001-9864-2965

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The mounting global crisis of environmental pollution necessitates transformative advances in analytical technologies that combine speed, precision, and field applicability. To meet this demand, next-generation analytical platforms must achieve seamless integration of two critical features: molecular-level recognition fidelity and reliable signal transduction. DNA nanotechnology leverages sequence-specific molecular recognition and programmable self-assembly to enable both natural (e.g., riboswitches) and synthetic (e.g., aptamers, DNAzymes) biosensing modalities. The structural programmability and predictable Watson-Crick base pairing of DNA provide a modular framework for designing next-generation biosensors with tunable specificity and sensitivity. When integrated with portable point-of-care (POC) platforms, these biosensing systems enable field-deployable, rapid, and operator-agnostic detection of toxicants across diverse matrixes, making them highly suitable for complex environmental monitoring tasks. This perspective highlights the potential and strategic approaches for constructing biosensors utilizing DNA-based recognition elements and structural materials. It explores the progress in field-deployable DNA-based biosensors, which are revolutionizing the on-site detection of environmental toxicants. We also discuss the current challenges and future perspectives for DNA-based biosensing systems in environmental pollution monitoring, offering insights into their broader applications.

Indexed as

cell-free biosensorDNA-based biosensing systemenvironmental monitoringfield deploymentRecognition element

Identifiers

PMID40575295
PMCPMC12188486

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.