Evidence map›Paper›PMID 35931785›Full record

ArticleAnalytical and bioanalytical chemistry2022

Colorimetric detection of norovirus by helicase-dependent amplification method based on specific primers integrated with HRPzyme.

Jeong-Eun Lee, Sol-A Kim, Hyun-Jin Park, Hyoyoung Mun, Kwang-Soo Ha, Won-Bo Shim

Abstract read
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In one paragraph

Article in Analytical and bioanalytical chemistry, 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
1.8field-weighted citation impact, top 13% 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, 19 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Swift and portable detection ofFrontiers in microbiology · 2024
    Article
  6. Review
  7. Article
  8. Review
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

6 authors at 2 institutions in 1 country.

Jeong-Eun LeeInstitute of Smart Farm, Gyeongsang National University, Jinju, 52828, Gyeongnam, Korea.
Sol-A KimDivision of Applied Life Science, Graduate School, Gyeongsang National University, Jinju, 52828, Gyeongnam, Korea.
Hyun-Jin ParkDivision of Applied Life Science, Graduate School, Gyeongsang National University, Jinju, 52828, Gyeongnam, Korea.
Hyoyoung MunApteasy MJ Inc., 333 Cheomdangwagi-ro, Technopark, Gwangju, 61008, Korea.
Kwang-Soo HaSoutheast Sea Fisheries Research Institute, National Institute of Fisheries Science, Tongyeong, 53085, Korea.
Won-Bo ShimInstitute of Smart Farm, Gyeongsang National University, Jinju, 52828, Gyeongnam, Korea. wbshim@gnu.ac.kr.
Gyeongsang National University · KRNational Fisheries Research and Development Institute · KR

Funding

Korea Coast Guard PJT201276National Institute of Fisheries Science R2022065
6 · The paper itself

Abstract

Noroviruses (NoVs) are the most common causes of epidemic gastroenteritis, responsible for at least 50% of all gastroenteritis outbreaks worldwide and significant causes of foodborne illness. In the USA, approximately 21 million illnesses attributable to NoVs have annually occurred. Therefore, there is a great demand to develop a rapid, low-cost, and accurate detection method for NoVs. This study first reported colorimetric helicase-dependent amplification (HDA) methods based on specific primers integrated with HRPzyme for the rapid and sensitive detection of NoV GI and GII. The colorimetric HDA methods exhibited a detection limit of 10 copies mL

Indexed as

Caliciviridae InfectionsGastroenteritisNorovirusColorimetryDNA PrimersGenotypeHumansPhylogenyRNA, ViralDNA PrimersRNA, ViralColorimetric detectionHelicase-dependent amplificationHRPzymeNorovirus (NoV)

Identifiers

PMID35931785
OpenAlexW4294355775

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.