Evidence map›Paper›PMID 41477059›Full record

ArticleMedical review (2021)2025

Next-generation biomedical sensing through photoacoustic-electrochemical synergy.

Mingxi Chen, Junyu Zhou, Keying Guo, Valery V Tuchin, Xunbin Wei

Abstract read
In one paragraph

Article in Medical review (2021), 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

5 authors.

Mingxi ChenInstitute of Advanced Clinical Medicine, Peking University, Beijing 100191, China.
Junyu ZhouInstitute of Advanced Clinical Medicine, Peking University, Beijing 100191, China.ORCID https://orcid.org/0000-0001-5931-1477
Keying GuoBiotechnology and Food Engineering, Guangdong Technion-Israel Institute of Technology (GTIIT), Shantou 515063, China.
Valery V TuchinResearch-Educational Institute of Optics and Biophotonics, Saratov State University, Saratov 410012, Russia.
Xunbin WeiInstitute of Advanced Clinical Medicine, Peking University, Beijing 100191, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modern biomedical sensing increasingly demands technologies capable of capturing structural, functional, and molecular information simultaneously. Photoacoustic (PA) and electrochemical (EC) sensing individually address these needs but exhibit inherent limitations when used alone. PA imaging offers deep-tissue, label-free visualization with high spatiotemporal resolution, yet lacks molecular specificity. Conversely, EC sensing provides quantitative, chemically specific information through electrode functionalization, but struggles with spatial mapping and noninvasive detection. Integrating these complementary modalities establishes a unified framework-Photoacoustic-Electrochemical Synergy (PAECS)-that fuses PA's noninvasive, flow-resolved optical contrast with EC's molecular selectivity and quantitative accuracy. PAECS enables multimodal sensing across scales, improving rare-event detection, dynamic monitoring of metabolic and hemodynamic processes, and mechanistic studies of disease and drug response. Applications include coupling PA flow cytometry with EC microfluidics for circulating tumor cell and biomarker analysis, as well as integrating PA imaging with EC metabolite monitoring for real-time tissue profiling. To realize PAECS, future efforts must address system co-registration, signal decoupling, and biomarker-driven design. By bridging optical, acoustic, and electrochemical information, PAECS represents a transformative step toward comprehensive, multiscale biomedical diagnostics and personalized health monitoring.

Indexed as

electrochemical microfluidicsin vivo molecular monitoringmultimodal biosensingphotoacoustic–electrochemical synergy (PAECS)photoacoustic flow cytometry

Identifiers

PMID41477059
PMCPMC12752733

What OpenQuestion 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 OpenQuestion graph.