Evidence map›Paper›PMID 39937251›Full record

ArticleMikrochimica acta2025

Multiplexed detection of respiratory virus RNA using optical pH sensors and injection-molded centrifugal microfluidics.

Gianmarco Domenico Suarez, Yuki Yu Kiu Tang, Steevanson Bayer, Peter Pak-Hang Cheung, Stefan Nagl

Abstract read
In one paragraph

Article in Mikrochimica acta, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Review
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.

Gianmarco Domenico SuarezHong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR.
Yuki Yu Kiu TangQuommni Technologies, Tsuen Wan, New Territories, Hong Kong SAR.
Steevanson BayerHong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR.
Peter Pak-Hang CheungDepartment of Chemical Pathology, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR.
Stefan NaglHong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong SAR. chnagl@ust.hk.

Funding

Research Grants Council, University Grants Committee 16309423, R9375, PF18-14492
6 · The paper itself

Abstract

The application is demonstrated of injection-molded centrifugal microfluidic chips with integrated optical pH sensors for multiplexed detection of respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza A, and influenza B RNA. The optical pH sensors generated sensitive fluorescent readouts from diagnostic reverse transcription loop-mediated isothermal amplification (RT-LAMP) reactions; limits of detection for influenzas A and B, and SARS-CoV-2 of 89, 245, and 38 RNA copies per reaction, respectively, were attained. Results were obtainable within 44 min for SARS-CoV-2 and influenza A, and 48 min for influenza B. We implemented a data processing strategy based on numerical derivatives of the fluorescence curves that allowed for reliable, quantitative thresholds for deciding reaction outcomes and enabled 100% specificity. This work demonstrates the utility of optical pH sensors and injection-molded centrifugal microfluidics for multiplexed infectious disease diagnostics with point-of-care applications.

Indexed as

Influenza A virusInfluenza B virusMicrofluidic Analytical TechniquesRNA, ViralSARS-CoV-2CentrifugationCOVID-19HumansHydrogen-Ion ConcentrationLab-On-A-Chip DevicesLimit of DetectionMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesRNA, ViralCentrifugal microfluidicsFluorescent optical sensorsInjection moldingIsothermal amplificationRespiratory viruses

Identifiers

PMID39937251
PMCPMC11821746

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.