Evidence map›Paper›PMID 35508752›Full record

ArticleFood and environmental virology2022

Integration of RT-LAMP and Microfluidic Technology for Detection of SARS-CoV-2 in Wastewater as an Advanced Point-of-Care Platform.

Ahmed Donia, Muhammad Furqan Shahid, Sammer-Ul Hassan, Ramla Shahid, Aftab Ahmad, Aneela Javed, Muhammad Nawaz, Tahir Yaqub, Habib Bokhari

Open access · bronzeAbstract read
In one paragraph

Article in Food and environmental virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.0field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 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

9 authors at 4 institutions in 3 countries.

Ahmed DoniaDepartment of Biosciences, Faculty of Science, COMSATS University Islamabad, Islamabad, Pakistan.ORCID 0000-0002-2130-3700
Muhammad Furqan ShahidInstitute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Sammer-Ul HassanDepartment of Mechanical Engineering, University of Hong Kong, Pok Fu Lam, Hong Kong, Hong Kong.
Ramla ShahidDepartment of Biosciences, Faculty of Science, COMSATS University Islamabad, Islamabad, Pakistan.
Aftab AhmadKohsar University Murree, Murree, Pakistan.
Aneela JavedHealthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences, National University of Science and Technology, Islamabad, Pakistan.
Muhammad NawazInstitute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Tahir YaqubInstitute of Microbiology, University of Veterinary and Animal Sciences, Lahore, Pakistan.
Habib BokhariDepartment of Biosciences, Faculty of Science, COMSATS University Islamabad, Islamabad, Pakistan. vckohsaruniversity@gmail.com.
COMSATS University Islamabad · PKUniversity of Veterinary and Animal Sciences · PKKohsar University MurreeUniversity of Hong Kong · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Development of lab-on-a-chip (LOC) system based on integration of reverse transcription loop-mediated isothermal amplification (RT-LAMP) and microfluidic technology is expected to speed up SARS-CoV-2 diagnostics allowing early intervention. In the current work, reverse transcriptase quantitative polymerase chain reaction (RT-qPCR) and RT-LAMP assays were performed on extracted RNA of seven wastewater samples from COVID-19 hotspots. RT‑LAMP assay was also performed on wastewater samples without RNA extraction. Current detection of SARS-CoV-2 is mainly by RT-qPCR of ORF (ORF1ab) and N genes so we targeted both to find the best target gene for SARS-CoV-2 detection. We also performed RT-LAMP with/without RNA extraction inside microfluidic device to target both genes. Positivity rates of RT-qPCR and RT-LAMP performed on extracted RNA were 100.0% (7/7) and 85.7% (6/7), respectively. RT-qPCR results revealed that all 7 wastewater samples were positive for N gene (Ct range 37-39), and negative for ORF1ab, suggesting that N gene could be the best target gene for SARS-CoV-2 detection. RT-LAMP of N and ORF (ORF1a) genes performed on wastewater samples without RNA extraction indicated that all 7 samples remains pink (negative). The color remains pink in all microchannels except microchannels which subjected to RT-LAMP for targeting N region after RNA extraction (yellow color) in 6 out of 7 samples. This study shows that SARS-CoV-2 was successfully detected from wastewater samples using RT-LAMP in microfluidic chips. This study brings the novelty involving the use of wastewater samples for detection of SARS-CoV-2 without previous virus concentration and with/without RNA extraction.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansMicrofluidicsMolecular Diagnostic TechniquesNucleic Acid Amplification TechniquesPoint-of-Care SystemsRNASensitivity and SpecificityWastewaterRNAWastewaterMicrofluidic deviceN geneRT-LAMPSARS-CoV-2

Identifiers

PMID35508752
PMCPMC9067896
OpenAlexW4229041927

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.