Evidence map›Paper›PMID 41927051›Full record

ArticleAnimal bioscience2026

Inhibition of lipid oxidation in refrigerated beef using multilayer encapsulated chitosan/gum arabic/polydextrose single-bulb garlic antioxidant.

Vivi Nuraini, Anang Mohamad Legowo, Sri Mulyani, Retno Adiwinarti

Abstract read
In one paragraph

Article in Animal bioscience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Vivi NurainiFaculty of Animal and Agricultural Sciences, Universitas Diponegoro, Semarang, Indonesia.
Anang Mohamad LegowoFaculty of Animal and Agricultural Sciences, Universitas Diponegoro, Semarang, Indonesia. anangmohlegowo@lecturer.undip.ac.id.
Sri MulyaniFaculty of Animal and Agricultural Sciences, Universitas Diponegoro, Semarang, Indonesia.
Retno AdiwinartiFaculty of Animal and Agricultural Sciences, Universitas Diponegoro, Semarang, Indonesia.

Funding

Beasiswa Pendidikan Indonesia 01251/BPPT/BPI.06/9/2023Lembaga Pengelola Dana PendidikanMinistry of Finance of Republic IndonesiaMinistry of Higher Education, Science, and Technology of Republic IndonesiaPusat Pelayanan Pembiayaan dan Asesmen Pendidikan Tinggi
6 · The paper itself

Abstract

objectiveThis study aims to evaluate the effectiveness of multilayer encapsulation of single-bulb garlic extract using a chitosan/gum arabic/polydextrose (MESG) system as a natural antioxidant in inhibiting oxidative damage in beef steak stored at refrigerator temperatures.

methodsThe study was designed using a completely randomized factorial design. The first factor was the concentration of MESG (MESG-0%, MESG-4%, and MESG-8%), and the second factor was the observation day (day 0, 3, 6, 9, 12, and 15). The marinated meat samples were stored at chiller temperature (6°C) for 15 days, and then the samples were analyzed for antioxidant activity, thiobarbituric acid reactive substances (TBARS) values, free fatty acid (FFA), pH, and fatty acid profile.

resultsPhysical analysis results indicated that the MESG displayed a complex, porous structure of MESG. The addition of MESG had a positive effect on the TBARS value, FFAs, and pH. Compared to the control (MESG-0%), MESG-4% and MESG-8% presented significantly (p<0.05) lower FFA levels and TBARS, while maintaining the stability of C20:4 ω6 (arachidonic acid) and C20:2 (eicosadienoic acid) during a 15-day storage period. The results showed a potential protective effect of the encapsulation method against lipid oxidation during refrigerated storage.

conclusionThis encapsulation technology is a strategic approach for preserving natural antioxidant quality, thereby extending shelf life and maintaining the quality of meat products, while also providing a viable alternative to synthetic preservatives.

Indexed as

Free Fatty AcidLipid OxidationMultilayer EncapsulationNatural AntioxidantSingle-bulb GarlicThiobarbituric Acid Reactive Substances

Identifiers

PMID41927051
PMCPMC13353115

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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.