Evidence map›Paper›PMID 39950463›Full record

ReviewCurrent HIV research2025

The Role of Electrochemical Sensors in Enhancing HIV Detection.

Xingxing Li, Jiangwei Zhu, Li Fu

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current HIV research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Xingxing LiCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou, 310018, PR China.
Jiangwei ZhuCo-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, 210037, PR China.
Li FuCollege of Materials and Environmental Engineering, Hangzhou Dianzi University, Hangzhou, 310018, PR China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human Immunodeficiency Virus (HIV) remains a significant global health challenge, necessitating rapid, sensitive, and accessible diagnostic tools. We examined recent advancements in electrochemical sensors for HIV gene detection, focusing on various sensing strategies, nanomaterial integration, and novel platform designs. Electrochemical sensors have demonstrated remarkable progress in HIV detection, offering high sensitivity and specificity. DNA/RNA-based sensors, aptamer approaches, and nanostructured platforms have detection limits as low as attomolar concentrations. Innovative signal amplification techniques, such as branched DNA amplification and toehold strand displacement reactions, have further enhanced sensitivity. Multiplexed detection systems enable simultaneous quantification of multiple HIV targets and related biomarkers. Integration of microfluidic technologies has improved sample processing and detection efficiency. Paper-based sensors show promise for low-cost, disposable testing platforms suitable for resource-limited settings. While challenges remain in terms of selectivity in complex biological samples and point-of-care applicability, electrochemical sensors hold great potential for revolutionizing HIV diagnostics. Future developments in recognition elements, artificial intelligence integration, and combined sensing modalities are expected to address current limitations and expand the capabilities of these sensors, ultimately contributing to improved HIV management and epidemic control strategies.

Indexed as

Biosensing TechniquesElectrochemical TechniquesHIVHIV InfectionsHumansSensitivity and SpecificityBiosensorsHIV detection.multiplexed detectionnanomaterialspoint-of-care diagnosticssignal amplification

Identifiers

What OpenQuestion holds

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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.