Evidence map›Paper›PMID 32548397›Full record

ArticleACS omega2020

Development of a Simple, Fast, and Cost-Effective Nanobased Immunoassay Method for Detecting Norovirus in Food Samples.

Hani A Alhadrami, Saleh Al-Amer, Yumna Aloraij, Fatimah Alhamlan, Raja Chinnappan, Khalid M Abu-Salah, Shaihana Almatrrouk, Mohammed M Zourob

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2020. 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
0.3field-weighted citation impact, top 29% 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, 21 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 4 institutions in 1 country.

Hani A AlhadramiFaculty of Applied Medical Sciences, Department of Medical Laboratory Technology, King Abdulaziz University, P.O. Box 80402, Jeddah 21589, Saudi Arabia.
Saleh Al-AmerDepartment of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, AlTakhassusi Rd, Riyadh 11533, Saudi Arabia.
Yumna AloraijDepartment of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, AlTakhassusi Rd, Riyadh 11533, Saudi Arabia.
Fatimah AlhamlanKing Faisal Specialist Hospital and Research Center, Zahrawi Street, Al Maather, Riyadh 12713, Saudi Arabia.
Raja ChinnappanDepartment of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, AlTakhassusi Rd, Riyadh 11533, Saudi Arabia.
Khalid M Abu-SalahDepartment of Nanomedicine, King Abdulaziz Medical City, King Abdullah International Medical Research Center/King Saud bin Abdulaziz University for Health Sciences, P.O. Box 3660, Riyadh 11481, Saudi Arabia.
Shaihana AlmatrroukNational Health Laboratory, Ministry of Health, King Abdulaziz Rd, Riyadh 13354, Saudi Arabia.
Mohammed M ZourobDepartment of Chemistry, Alfaisal University, Al Zahrawi Street, Al Maather, AlTakhassusi Rd, Riyadh 11533, Saudi Arabia.
Alfaisal University · SAKing Abdulaziz University · SAKing Saud bin Abdulaziz University for Health Sciences · SAMinistry of Health · SA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a quick, low-cost, and easy technique for the detection of norovirus in several food samples, including cucumber, lettuce, and chicken. The developed sandwich immunoassay method depends on employing nanotechnology for the detection step. Lactoferrin immobilized on activated Q-tips cotton swabs was used as a general capturing reagent to bind viruses from the sample surface. The cotton swabs were then submerged in a gold nanoparticle solution, which had previously decorated with a specific antibody for noroviruses. Positive samples retained the red color of the gold nanoparticles on the surface of Q-tips, even after washing, while the negative control samples easily lost their color through washing. The results confirmed that the developed assay has superior sensitivity and selectivity with a LOD between 10 and 53 pfu/mL for all tested samples. In light of the difficulty, complexity, and high cost of the methods recently used for detecting viruses in food samples, this method presents a promising reliable technique that can be employed for the rapid detection of norovirus in food samples with an acceptable accuracy.

Identifiers

PMID32548397
PMCPMC7271352
OpenAlexW3026522063

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.