Evidence map›Paper›PMID 36186577›Full record

ArticleLebensmittel-Wissenschaft + [i.e. und] Technologie. Food science + technology. Science + technologie alimentaire2022

Sensitive fluorescence biosensor for SARS-CoV-2 nucleocapsid protein detection in cold-chain food products based on DNA circuit and g-CNQDs@Zn-MOF.

Chen Zhou, Chiliang Lin, Yuyao Hu, Haocheng Zan, Xiaruiyan Xu, Chengjun Sun, Haimin Zou, Yongxin Li

Open access · goldAbstract read
In one paragraph

Article in Lebensmittel-Wissenschaft + [i.e. und] Technologie. Food science + technology. Science + technologie alimentaire, 2022. 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
1.6field-weighted citation impact, top 16% 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, 19 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 1 institution in 1 country.

Chen ZhouWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Chiliang LinWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Yuyao HuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Haocheng ZanWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Xiaruiyan XuWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Chengjun SunWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Haimin ZouDepartment of Clinical Laboratory, Sichuan Cancer Hospital and Institute, Sichuan Cancer Center, School of Medicine, University of Electronic Science and Technology of China, Chengdu, 610041, China.
Yongxin LiWest China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, 610041, China.
Sichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

SARS-CoV-2 isolation from cold-chain food products confirms the possibility of outbreaks through cold-chain food products. RNA extraction combined with RT-PCR is the primary method currently utilized for the detection of SARS-CoV-2. However, the requirement of hours of analytical time and the high price of RT-PCR hinder its worldwide implementation in food supervision. Here, we report a fluorescence biosensor for detection of SARS-CoV-2 N protein. The fluorescence biosensor was fabricated by aptamer-based conformational entropy-driven circuit where molecular beacon strands were labeled with graphitic carbon nitrides quantum dots@Zn-metal-organic framework (g-CNQDs@Zn-MOF) and Dabcyl. The detection of the N protein was achieved via swabbing followed by competitive assay using a fixed amount of N-48 aptamers in the analytical system. A fluorescence emission spectrum was employed for the detection. The detection limit of our fluorescence biosensor was 1.0 pg/mL for SARS-CoV-2 N protein, indicating very excellent sensitivity. The fluorescence biosensor did not exhibit significant cross-reactivity with other N proteins. Finally, the biosensor was successfully applied for the detection of SARS-CoV-2 N protein in actual cold-chain food products showing same excellent accuracy as RT-PCR method. Thus, our fluorescence biosensor is a promising analytical tool for rapid and sensitive detection of SARS-CoV-2 N protein.

Indexed as

AptamerCold-chain food productConformational entropy-driven circuitG-CNQDs@Zn-MOFSARS-CoV-2

Identifiers

PMID36186577
PMCPMC9510831
OpenAlexW4297215612

What OpenQuestion holds

Textmetadata
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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.