Evidence map›Paper›PMID 35815064›Full record

ReviewTrends in analytical chemistry : TRAC2022

Recent trends and advancements in electrochemiluminescence biosensors for human virus detection.

Ebtesam Sobhanie, Foad Salehnia, Guobao Xu, Yalda Hamidipanah, Shayesteh Arshian, Ali Firoozbakhtian, Morteza Hosseini, Mohammad Reza Ganjali, Saima Hanif

Open access · greenAbstract readReview
In one paragraph

Review in Trends in analytical chemistry : TRAC, 2022. 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
6.2field-weighted citation impact, top 2% 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, 76 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 4 countries.

Ebtesam SobhanieNanobiosensors Lab, Department of Life Science Engineering, Faculty of New Sciences & Technologies, University of Tehran, Tehran, Iran.
Foad SalehniaDepartament d'Enginyeria Electrònica, Escola Tècnica Superior d'Enginyeria, Universitat Rovira i Virgili, Avda. Països Catalans 26, 43007, Tarragona, Spain.
Guobao XuState Key Laboratory of Electroanalytical Chemistry, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022, China.
Yalda HamidipanahCenter of Excellence in Electrochemistry, Faculty of Chemistry, University of Tehran, Tehran, Iran.
Shayesteh ArshianCenter of Excellence in Electrochemistry, Faculty of Chemistry, University of Tehran, Tehran, Iran.
Ali FiroozbakhtianNanobiosensors Lab, Department of Life Science Engineering, Faculty of New Sciences & Technologies, University of Tehran, Tehran, Iran.
Morteza HosseiniNanobiosensors Lab, Department of Life Science Engineering, Faculty of New Sciences & Technologies, University of Tehran, Tehran, Iran.
Mohammad Reza GanjaliCenter of Excellence in Electrochemistry, Faculty of Chemistry, University of Tehran, Tehran, Iran.
Saima HanifDepartment of Biological Sciences, National University of Medical Sciences, Rawalpindi, Islamabad, Pakistan.
University of Tehran · IRChinese Academy of Sciences · CNNational University of Medical Sciences · PKUniversitat Rovira i Virgili · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Researchers are constantly looking to find new techniques of virus detection that are sensitive, cost-effective, and accurate. Additionally, they can be used as a point-of-care (POC) tool due to the fact that the populace is growing at a quick tempo, and epidemics are materializing greater often than ever. Electrochemiluminescence-based (ECL) biosensors for the detection of viruses have become one of the most quickly developing sensors in this field. Thus, we here focus on recent trends and developments of these sensors with regard to virus detection. Also, quantitative analysis of various viruses (e.g., Influenza virus, SARS-CoV-2, HIV, HPV, Hepatitis virus, and Zika virus) with a specific interest in Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) was introduced from the perspective of the biomarker and the biological receptor immobilized on the ECL-based sensors, such as nucleic acids-based, immunosensors, and other affinity ECL biosensors.

Indexed as

COVID-19ElectrochemiluminescenceGenosensorsHepatits BHIVHPVImmunosensorsInfluenzaRespiratory virusSARS-CoV-2Virus detectionZika virus

Identifiers

PMID35815064
PMCPMC9254503
OpenAlexW4284711338

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.