Evidence map›Paper›PMID 39476413›Full record

ArticleJournal of the American Chemical Society2024

Discovery of Electrochemical Indicators upon Sarcoplasmic Meat Discoloration.

Sandun Bogahawaththa Kasthuri Dias, Silan Bhandari, Sachinthani A Devage, Jennifer A Avery, Rishav Kumar, Ranjith Ramanathan, Sadagopan Krishnan

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2024. 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
–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

2 citing papers in PubMed.

  1. Article
  2. Article
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

7 authors.

Sandun Bogahawaththa Kasthuri DiasDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.
Silan BhandariDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.
Sachinthani A DevageDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.
Jennifer A AveryDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.ORCID 0009-0005-0123-6271
Rishav KumarDepartment of Animal and Food Sciences, Oklahoma State University, Stillwater, Oklahoma 74078, United States.
Ranjith RamanathanDepartment of Animal and Food Sciences, Oklahoma State University, Stillwater, Oklahoma 74078, United States.ORCID 0000-0001-7849-4432
Sadagopan KrishnanDepartment of Chemistry, Oklahoma State University, Stillwater, Oklahoma 74078, United States.ORCID 0000-0002-9968-2712

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Meat discoloration is one of the challenges facing the food industry, which affects both quality and shelf life. In this report, we present our groundbreaking discovery of electrochemically probing specific redox peaks associated with meat discoloration and successfully monitor its delay when controlled biochemically with added antioxidants. We have validated the redox features by spectrophotometry measurements of the relative levels of oxymyoglobin, which gives meat its cherry red color, and metmyoglobin, which causes the meat to turn brown in relation to discoloration. The insights from this research open up new avenues for the development of innovative electroanalytical tools for studying meat color and quality. These new tools could potentially minimize nutritious beef waste, lessen the environmental burden associated with waste disposal, and reduce CO

Indexed as

MeatMyoglobinAnimalsCattleColorElectrochemical TechniquesMetmyoglobinOxidation-ReductionMetmyoglobinMyoglobinoxymyoglobin

Identifiers

PMID39476413
PMCPMC11565638

What OpenQuestion holds

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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.