Evidence map›Paper›PMID 37455070›Full record

ArticleAnalytica chimica acta2023

Next-generation diagnostic test for dengue virus detection using an ultrafast plasmonic colorimetric RT-PCR strategy.

Kunlun Jiang, Jung-Hoon Lee, To Sing Fung, Jingrui Wu, Congnuan Liu, Hua Mi, R P V Jayanthe Rajapakse, Udeni B R Balasuriya, Yung-Kang Peng, Yun Young Go

Open access · hybridAbstract read
In one paragraph

Article in Analytica chimica acta, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
7.0field-weighted citation impact, top 3% of its field
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

7 citing papers in PubMed, 24 citations in OpenAlex.

  1. Characterising secondary dengue infections in Saudi Arabia using combined IgG and PCR testing.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2026
    Article
  2. Diagnostic Techniques for Dengue Virus.Current topics in microbiology and immunology · 2026
    Review
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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

10 authors at 5 institutions in 4 countries.

Kunlun JiangDepartment of Chemistry, College of Science, City University of Hong Kong, Kowloon, 999077, Hong Kong, China.
Jung-Hoon LeeDepartment of Chemistry, Soonchunhyang University, Asan, 31538, South Korea. Electronic address: jhlee67@sch.ac.kr.
To Sing FungDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, 999077, Hong Kong, China.
Jingrui WuDepartment of Chemistry, Seoul National University, Seoul, 08826, South Korea.
Congnuan LiuDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, 999077, Hong Kong, China.
Hua MiDepartment of Chemistry, College of Science, City University of Hong Kong, Kowloon, 999077, Hong Kong, China.
R P V Jayanthe RajapakseDepartment of Veterinary Pathobiology, Faculty of Veterinary Medicine and Animal Science, University of Peradeniya, Peradeniya, 20400, Sri Lanka.
Udeni B R BalasuriyaLouisiana Animal Disease Diagnostic Laboratory, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, 70803, USA; Department of Pathobiological Sciences, School of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, 70803, USA.
Yung-Kang PengDepartment of Chemistry, College of Science, City University of Hong Kong, Kowloon, 999077, Hong Kong, China. Electronic address: ykpeng@cityu.edu.hk.
Yun Young GoDepartment of Infectious Diseases and Public Health, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Kowloon, 999077, Hong Kong, China. Electronic address: yunygo@cityu.edu.hk.
City University of Hong Kong · HKLouisiana State University · USSeoul National University · KRSoonchunhyang University · KRUniversity of Peradeniya · LK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The current global COVID-19 pandemic once again highlighted the urgent need for a simple, cost-effective, and sensitive diagnostic platform that can be rapidly developed for distribution and easy access in resource-limited areas. Here, we present a simple and low-cost plasmonic photothermal (PPT)-reverse transcription-colorimetric polymerase chain reaction (RTcPCR) for molecular diagnosis of dengue virus (DENV) infection. The assay can be completed within 54 min with an estimated detection limit of 1.6 copies/μL of viral nucleic acid. The analytical sensitivity and specificity of PPT-RTcPCR were comparable to that of the reference RT-qPCR assay. Moreover, the clinical performance of PPT-RTcPCR was evaluated and validated using 158 plasma samples collected from patients suspected of dengue infection. The results showed a diagnostic agreement of 97.5% compared to the reference RT-qPCR and demonstrated a clinical sensitivity and specificity of 97.0% and 100%, respectively. The simplicity and reliability of our PPT-RTcPCR strategy suggest it can provide a foundation for developing a field-deployable diagnostic assay for dengue and other infectious diseases.

Indexed as

COVID-19DengueDengue VirusColorimetryCOVID-19 TestingDiagnostic Tests, RoutineHumansPandemicsReproducibility of ResultsReverse Transcriptase Polymerase Chain ReactionRNA, ViralSensitivity and SpecificityRNA, ViralBiosensorColorimetricDengue diagnosisPhotothermal effectPlasmonic photothermal PCR

Identifiers

PMID37455070
PMCPMC10291885
OpenAlexW4382051689

What OpenQuestion holds

Textmetadata
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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.