Evidence map›Paper›PMID 42585303›Full record

ArticleScience advances2026

Interfacial amplifier: High-throughput visual protein detection via droplet dynamics.

Tianxin Ge, Xuexue He, Shouzi Zhang, Haofeng Chen, Wenxu Hu, Zhaofan Luo, Liqiu Wang, Zong Dai, Xing Han

Abstract read
In one paragraph

Article in Science advances, 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

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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

9 authors.

Tianxin GeGuangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, Guangdong 518107, P. R. China.ORCID 0009-0008-9041-3445
Xuexue HeGuangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, Guangdong 518107, P. R. China.ORCID 0009-0008-4968-477X
Shouzi ZhangGuangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, Guangdong 518107, P. R. China.ORCID 0009-0003-3705-255X
Haofeng ChenGuangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, Guangdong 518107, P. R. China.
Wenxu HuGuangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, Guangdong 518107, P. R. China.
Zhaofan LuoThe Seventh Affiliated Hospital, Sun Yat-sen University, Shenzhen, Guangdong 518107, P. R. China.
Liqiu WangDepartment of Mechanical Engineering, The Hong Kong Polytechnic University, Hong Kong 999077, Hong Kong, P. R. China.ORCID 0000-0002-6514-4211
Zong DaiGuangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, Guangdong 518107, P. R. China.ORCID 0000-0002-3646-7396
Xing HanGuangdong Provincial Key Laboratory of Sensing Technology and Biomedical Instrument, School of Biomedical Engineering, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, No. 66, Gongchang Road, Guangming District, Shenzhen, Guangdong 518107, P. R. China.ORCID 0000-0001-9052-880X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid, visual protein detection at ultralow cost remains a critical unmet need for scalable point-of-care testing. We introduce a high-throughput platform leveraging interfacial droplet dynamics on a slippery liquid-infused porous surface (SLIPS) to directly translate protein-specific adsorption into macroscopic behavior. Protein concentration and identity modulate the critical sliding angle of droplets via interfacial film formation, enabling pretreatment-free, instrument-free identification of clinically relevant targets like proteinuria within minutes. This approach achieves parallel analysis of 170 samples on a single A4-sized substrate (5 minutes, ∼$0.008 per sample), requiring only visual readout. By amplifying nanoscale interfacial interactions into intuitive visual outputs, our SLIPS-based technology establishes a scalable, user-friendly paradigm for decentralized diagnostics and continuous health monitoring across diverse settings.

Indexed as

High-Throughput Screening AssaysProteinsAdsorptionHumansSurface PropertiesProteins

Identifiers

PMID42585303
PMCPMC13464474

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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.