Evidence map›Paper›PMID 42726592›Full record

ReviewNanomaterials (Basel, Switzerland)2026

Self-Powered Triboelectric Biofluid Sensors for Early Disease Screening and Diagnosis: A Review.

Yanqin Zhang, Huawen Wen, Jianbing Huang, Qiliang Zhu

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2026. 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

4 authors.

Yanqin ZhangSchool of Petrochemical Engineering, Guangzhou Institute of Technology, Guangzhou 510725, China.
Huawen WenSchool of Petrochemical Engineering, Guangzhou Institute of Technology, Guangzhou 510725, China.
Jianbing HuangSchool of Petrochemical Engineering, Guangzhou Institute of Technology, Guangzhou 510725, China.
Qiliang ZhuCollaborative Innovation Center of Henan Province for Energy-Saving Building Materials, Xinyang Normal University, Xinyang 464000, China.

Funding

Tertiary Education Scientific research project of Guangzhou Municipal Education Bu-reau No. 202235316University Scientific Research Project of the Department of Education of Guangdong Province No. 2024KTSCX317
6 · The paper itself

Abstract

With the growing demand for continuous health assessment and early disease screening, biofluids have attracted increasing attention because they provide molecular information that cannot be obtained from conventional physical signals alone. However, practical biofluid analysis remains constrained by limited sample volumes, unstable wet interfaces, complex fluid transport, and dependence on external power sources. Triboelectric nanogenerators and triboelectric nanosensors offer a promising solution by combining mechanical energy harvesting with direct signal transduction. This review provides a critical overview of the theoretical basis of triboelectric biofluid sensing, including working modes, figures of merit, charge-transfer mechanisms, and the differences between solid-solid and solid-liquid electrification. Material selection, interfacial functionalization, fluid collection, wearable configurations, and multimodal integration are further discussed. Recent applications involving sweat, tears, saliva, urine, interstitial fluid, blood, and wound exudate are summarized to clarify how triboelectric devices function as either power sources or active sensing interfaces. Particular attention is given to their potential in early screening, risk assessment, and auxiliary diagnosis. Current limitations associated with biofouling, charge dissipation, individual variability, biosafety, durability, calibration, and clinical validation are also evaluated. Finally, future directions are proposed to improve analytical reliability and accelerate the translation of self-powered biofluid sensors from laboratory prototypes to clinically meaningful healthcare platforms.

Indexed as

biofluidsdisease screeningself-poweredsensorstriboelectric

Identifiers

PMID42726592
PMCPMC13567562

What OpenQuestion holds

Textmetadata
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.