Evidence map›Paper›PMID 34770913›Full record

ReviewMolecules (Basel, Switzerland)2021

Omics-Based Analytical Approaches for Assessing Chicken Species and Breeds in Food Authentication.

Goh Dirong, Sara Nematbakhsh, Jinap Selamat, Pei Pei Chong, Lokman Hakim Idris, Noordiana Nordin, Fatchiyah Fatchiyah, Ahmad Faizal Abdull Razis

Abstract readReview
In one paragraph

Review in Molecules (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
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

9 citing papers in PubMed.

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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.

Goh DirongNatural Medicines and Products Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.
Sara NematbakhshLaboratory of Food Safety and Food Integrity, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.ORCID 0000-0002-6276-5979
Jinap SelamatLaboratory of Food Safety and Food Integrity, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.ORCID 0000-0002-8369-9536
Pei Pei ChongSchool of Biosciences, Faculty of Health and Medical Sciences, Taylor's University, Subang Jaya 47500, Selangor, Malaysia.ORCID 0000-0002-8229-3593
Lokman Hakim IdrisDepartment of Veterinary Preclinical Sciences, Faculty of Veterinary Medicine, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.
Noordiana NordinLaboratory of Food Safety and Food Integrity, Institute of Tropical Agriculture and Food Security, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.ORCID 0000-0003-4848-3833
Fatchiyah FatchiyahDepartment of Biology, Faculty of Mathematic and Natural Science, Brawijaya University, JI. Veteran, Malang 65145, Indonesia.ORCID 0000-0001-6241-9665
Ahmad Faizal Abdull RazisNatural Medicines and Products Research Laboratory, Institute of Bioscience, Universiti Putra Malaysia (UPM), Serdang 43400, Selangor, Malaysia.ORCID 0000-0001-9205-3764

Funding

Ministry of Higher Education of Malaysia (MOHE) (UPM/800-4/11/MRUN/2019/5539130)Putra Grant-IPS of Universiti Putra Malaysia (GP-IPS/2020/9683500)Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA) (Ref. No. GBG19-3260)
6 · The paper itself

Abstract

Chicken is known to be the most common meat type involved in food mislabeling and adulteration. Establishing a method to authenticate chicken content precisely and identifying chicken breeds as declared in processed food is crucial for protecting consumers' rights. Categorizing the authentication method into their respective omics disciplines, such as genomics, transcriptomics, proteomics, lipidomics, metabolomics, and glycomics, and the implementation of bioinformatics or chemometrics in data analysis can assist the researcher in improving the currently available techniques. Designing a vast range of instruments and analytical methods at the molecular level is vital for overcoming the technical drawback in discriminating chicken from other species and even within its breed. This review aims to provide insight and highlight previous and current approaches suitable for countering different circumstances in chicken authentication.

Indexed as

GenomicsMetabolomicsProteomicsAnimalsChickensFood AnalysisFood ContaminationGene Expression ProfilingMeatMetabolomeTranscriptomeWorkflowbreed identificationchemometricschicken authenticationmislabelingomics

Identifiers

PMID34770913
PMCPMC8587031

What OpenQuestion holds

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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.