Evidence map›Paper›PMID 40576422›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2025

A Phase Separation-Assisted Pre-Enrichment Method for Ultrasensitive Respiratory Virus Detection.

Yang Cao, Pui Ngan Lau, Alex W H Chin, Zhuolin He, Christina C K Au Yeung, Kehao Zeng, Haisong Lin, Leo L M Poon, Ho Cheung Shum

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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. Article
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.

Yang CaoDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, 000000, China.ORCID https://orcid.org/0000-0002-0813-2740
Pui Ngan LauDivision of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, 000000, China.
Alex W H ChinDivision of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, 000000, China.
Zhuolin HeDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, 000000, China.
Christina C K Au YeungDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, 000000, China.
Kehao ZengDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, 000000, China.
Haisong LinDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, 000000, China.
Leo L M PoonDivision of Public Health Laboratory Sciences, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, 000000, China.
Ho Cheung ShumDepartment of Mechanical Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong SAR, 000000, China.ORCID https://orcid.org/0000-0002-6365-8825

Funding

Collaborative Research Fund C7165-20GFGeneral Research Fund 17208623NSFC Young Scientists Fund 32201181Research Grants Council of HK theme-based research schemes T11-705/21-NRGC Senior Research Fellow SRFS2425-7S04The Health@InnoHK initiative of the Innovation and Technology Commission of the Hong Kong Special Administrative Region Government
6 · The paper itself

Abstract

Enriching trace biomarkers (e.g., proteins, nucleic acids) is critical for biomedical applications; yet conventional methods often lack versatility, limiting their effectiveness to specific biomarker types. To address this, the phase separation-assisted pre-enrichment (PSAP) technology is presented that exploits differential polymer-polymer partitioning to achieve 47-fold antigen and 44-fold RNA enrichment simultaneously. Through systematic optimization of interfacial chemistry, including pH modulation, polymer hydrophilicity, mass fraction, and molecular weights, the protocol is refined to enable direct integration with commercial diagnostics. PSAP-boosted rapid antigen ests (RATs) detected SARS-CoV-2 and Influenza viruses at tenfold and fivefold lower limits, respectively. In clinical validation, 53 clinical specimens (containing PCR undetectable samples as controls) are analyzed. The PSAP method significantly enhanced detection accuracy for both viral antigens and RNA, particularly improving positivity rates in low viral load specimens (27 < Ct < 31) compared to conventional approaches while maintaining specificity in high-Ct and negative controls. With its universality and tunability, PSAP demonstrates universal applicability across respiratory pathogens and lays the foundation for next-generation point-of-care diagnostics.

Indexed as

COVID-19Influenza, HumanOrthomyxoviridaeSARS-CoV-2Antigens, ViralHumansPhase SeparationRNA, ViralSensitivity and SpecificityViral LoadAntigens, ViralRNA, Viralaffinity‐driven partitioningaqueous two‐phase systemsphase separation‐assisted preconcentrationpoint‐of‐care testingrespiratory virus detection

Identifiers

PMID40576422
PMCPMC12463056

What OpenQuestion holds

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LicenceCC BY
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.