Evidence map›Paper›PMID 36495722›Full record

ArticleBiosensors & bioelectronics2023

Rapid point-of-care detection of SARS-CoV-2 RNA with smartphone-based upconversion luminescence diagnostics.

Menglin Song, Man-Chung Wong, Lihua Li, Feng Guo, Yuan Liu, Yingjing Ma, Xinyue Lao, Pui Wang, Honglin Chen, Mo Yang and 1 more

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 29 citations in OpenAlex.

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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

11 authors at 2 institutions in 1 country.

Menglin SongDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China.
Man-Chung WongDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China.
Lihua LiDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China.
Feng GuoDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China.
Yuan LiuDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China.
Yingjing MaDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China.
Xinyue LaoDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China.
Pui WangState Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, 999077, Hong Kong, China.
Honglin ChenState Key Laboratory for Emerging Infectious Diseases, Department of Microbiology, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, 999077, Hong Kong, China.
Mo YangDepartment of Biomedical Engineering, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China.
Jianhua HaoDepartment of Applied Physics, The Hong Kong Polytechnic University, Kowloon, 999077, Hong Kong, China. Electronic address: jh.hao@polyu.edu.hk.
Hong Kong Polytechnic University · HKUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate COVID-19 screening via molecular technologies is still hampered by bulky instrumentation, complicated procedure, high cost, lengthy testing time, and the need for specialized personnel. Herein, we develop point-of-care upconversion luminescence diagnostics (PULD), and a streamlined smartphone-based portable platform facilitated by a ready-to-use assay for rapid SARS-CoV-2 nucleocapsid (N) gene testing. With the complementary oligo-modified upconversion nanoprobes and gold nanoprobes specifically hybridized with the target N gene, the luminescence resonance energy transfer effect leads to a quenching of fluorescence intensity that can be detected by the easy-to-use diagnostic system. A remarkable detection limit of 11.46 fM is achieved in this diagnostic platform without the need of target amplification, demonstrating high sensitivity and signal-to-noise ratio of the assay. The capability of the developed PULD is further assessed by probing 9 RT-qPCR-validated SARS-CoV-2 variant clinical samples (B.1.1.529/Omicron) within 20 min, producing reliable diagnostic results consistent with those obtained from a standard fluorescence spectrometer. Importantly, PULD is capable of identifying the positive COVID-19 samples with superior sensitivity and specificity, making it a promising front-line tool for rapid, high-throughput screening and infection control of COVID-19 or other infectious diseases.

Indexed as

Biosensing TechniquesCOVID-19HumansLuminescencePoint-of-Care SystemsRNA, ViralSARS-CoV-2Sensitivity and SpecificitySmartphoneRNA, ViralCOVID-19Luminescence resonance energy transfer (LRET)Point-of-care diagnosticsSARS-CoV-2Upconversion nanoparticlesViral RNA detection

Identifiers

PMID36495722
PMCPMC9721270
OpenAlexW4312204809

What OpenQuestion holds

Textmetadata
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.