Evidence map›Paper›PMID 36182888›Full record

ArticleJournal of hazardous materials2023

Ultrafast and absolute quantification of SARS-CoV-2 on food using hydrogel RT-LAMP without pre-lysis.

Tao Yang, Dong Li, Yuhua Yan, Fatima-Ezzahra Ettoumi, Ricardo A Wu, Zisheng Luo, Hanry Yu, Xingyu Lin

Open access · greenAbstract read
In one paragraph

Article in Journal of hazardous materials, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

6 citing papers in PubMed, 27 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

8 authors at 3 institutions in 2 countries.

Tao YangCollege of Biosystems Engineering & Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310058, China.
Dong LiCollege of Biosystems Engineering & Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310058, China.
Yuhua YanCollege of Biosystems Engineering & Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310058, China.
Fatima-Ezzahra EttoumiCollege of Biosystems Engineering & Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310058, China.
Ricardo A WuCollege of Biosystems Engineering & Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310058, China.
Zisheng LuoCollege of Biosystems Engineering & Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310058, China; Ningbo Research Institute, Zhejiang University, 310058, China.
Hanry YuCritical Analytics for Manufacturing Personalized Medicine Interdisciplinary Research Group, Singapore-MIT Alliance for Research and Technology, 138602, Singapore.
Xingyu LinCollege of Biosystems Engineering & Food Science, State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, 310058, China; Ningbo Research Institute, Zhejiang University, 310058, China. Electronic address: xingyu@zju.edu.cn.
Zhejiang University · CNNingbo University · CNSingapore-MIT Alliance for Research and Technology · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With rapid growing of environmental contact infection, more and more attentions are focused on the precise and absolute quantification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus on cold chain foods via point-of-care test (POCT). In this work, we propose a hydrogel-mediated reverse transcription loop-mediated isothermal amplification (RT-LAMP) for ultrafast and absolute quantification of SARS-CoV-2. Cross-linked hydrogel offers opportunities for digital single molecule amplification in nanoconfined spaces, facilitating the virus lysis, RNA reverse transcription and amplification process, which is about 3.4-fold faster than conventional bulk RT-LAMP. Ultrafast quantification of SARS-CoV-2 is accomplished in 15 min without virus pre-lysis and RNA extraction. The sensitivity can accurately quantify SARS-CoV-2 down to 0.5 copy/μL. Furthermore, the integrated system has an excellent specificity, reproducibility and storage stability, which can be also used to test SARS-CoV-2 on various cold chain fruits. The developed ultrafast and simple hydrogel RT-LAMP will be an enormous potential for surveillance of virus or other hazardous microbes in environmental, agricultural and food industry.

Indexed as

COVID-19SARS-CoV-2HumansHydrogelsMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesReproducibility of ResultsRNASensitivity and SpecificityHydrogelsRNAAbsolute quantificationCold chain foodHydrogel RT-LAMPSARS-CoV-2Ultrafast detection

Identifiers

PMID36182888
PMCPMC9507997
OpenAlexW4297285078

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.