Evidence map›Paper›PMID 34084086›Full record

ArticleFood technology and biotechnology2021

A Molecular Approach for the Detection and Quantification of

Aditi Negi, Arunkumar Anandharaj, Sureshkumar Kalakandan, Meenatchi Rajamani

Open access · diamondAbstract read
In one paragraph

Article in Food technology and biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. 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

4 authors at 2 institutions in 1 country.

Aditi NegiDepartment of Primary Processing, Storage and Handling, Indian Institute of Food Processing Technology, 613005 Thanjavur, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-0509-0100
Arunkumar AnandharajDepartment of Food Safety and Quality Testing, Indian Institute of Food Processing Technology, 613005 Thanjavur, Tamil Nadu, India.ORCID https://orcid.org/0000-0002-5888-5273
Sureshkumar KalakandanDepartment of Food Safety and Quality Testing, Indian Institute of Food Processing Technology, 613005 Thanjavur, Tamil Nadu, India.ORCID https://orcid.org/0000-0001-9584-772X
Meenatchi RajamaniDepartment of Primary Processing, Storage and Handling, Indian Institute of Food Processing Technology, 613005 Thanjavur, Tamil Nadu, India.ORCID https://orcid.org/0000-0001-9965-7093
National Institute of Food Technology, Entrepreneurship and Management - Thanjavur · INBharathidasan University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RESEARCH

backgroundThe presence of insect fragments is one of the major constrains in stored food commodities and it causes considerable loss in the quality of the produce. The management of the pest is viewed as a huge challenge in foodprocessingindustry. Conventionally, the detection of EXPERIMENTAL APPROACH: Considering the importance of a quick and effective method, a quantitative polymerase chain reaction (qPCR)-based approach was developed and elucidated in this study. The mitochondrial cytochrome oxidase I ( RESULTS AND

conclusionsThis method is capable of detecting all the ontogenic stages of NOVELTY AND SCIENTIFIC CONTRIBUTION: This study is the first of its kind in the detection and quantification of

Indexed as

insect detectionqRT-PCRred flour beetleTribolium castaneumwheat flour

Identifiers

PMID34084086
PMCPMC8157093
OpenAlexW3134674152

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.