Evidence map›Paper›PMID 41097568›Full record

ReviewFoods (Basel, Switzerland)2025

Production Systems and Feeding Strategies in the Aromatic Fingerprinting of Animal-Derived Foods: Invited Review.

Eric N Ponnampalam, Gauri Jairath, Ishaya U Gadzama, Long Li, Sarusha Santhiravel, Chunhui Ma, Mónica Flores, Hasitha Priyashantha

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Comparative Analysis of Meat Quality Characteristics of theAnimals : an open access journal from MDPI · 2026
    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

8 authors.

Eric N PonnampalamSchool of Agriculture, Food and Ecosystem Sciences, Faculty of Science, The University of Melbourne, Parkville, VIC 3010, Australia.ORCID 0000-0002-6648-0540
Gauri JairathDepartment of Livestock Products Technology, ICAR-Indian Veterinary Research Institute, Regional Station, Palampur 176061, Himachal Pradesh, India.ORCID 0000-0002-6381-2060
Ishaya U GadzamaSchool of Agriculture and Food Sustainability, University of Queensland, Gatton, QLD 4343, Australia.ORCID 0000-0001-5434-259X
Long LiCollege of Animal Science and Technology, Shihezi University, Shihezi 832000, China.ORCID 0000-0002-7578-6146
Sarusha SanthiravelDepartment of Biochemistry, Memorial University of Newfoundland, St. John's, NL A1C 5S7, Canada.ORCID 0000-0002-7250-0990
Chunhui MaCollege of Animal Science and Technology, Shihezi University, Shihezi 832000, China.
Mónica FloresDepartment of Food Science, Instituto de Agroquímica y Tecnología de Alimentos (CSIC), 46980 Paterna, Spain.ORCID 0000-0002-4228-9899
Hasitha PriyashanthaDepartment of Molecular Sciences, Swedish University of Agricultural Sciences, Box 7015, SE-750 07 Uppsala, Sweden.ORCID 0000-0003-0190-9075

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aroma and flavor are central to consumer perception, product acceptance, and market positioning of animal-derived foods such as meat, milk, and eggs. These sensory traits arise from volatile organic compounds (VOCs) formed via lipid oxidation (e.g., hexanal, nonanal), Maillard/Strecker chemistry (e.g., pyrazines, furans), thiamine degradation (e.g., 2-methyl-3-furanthiol, thiazoles), and microbial metabolism, and are modulated by species, diet, husbandry, and post-harvest processing. Despite extensive research on food volatiles, there is still no unified framework spanning meat, milk, and eggs that connects production factors with VOC pathways and links them to sensory traits and consumer behavior. This review explores how production systems, feeding strategies, and processing shape VOC profiles, creating distinct aroma "fingerprints" in meat, milk, and eggs, and assesses their value as markers of quality, authenticity, and traceability. We have also summarized the advances in analytical techniques for aroma fingerprinting, with emphasis on GC-MS, GC-IMS, and electronic-nose approaches, and discuss links between key VOCs and sensory patterns (e.g., grassy, nutty, buttery, rancid) that influence consumer perception and willingness-to-pay. These patterns reflect differences in production and processing and can support regulatory claims, provenance verification, and label integrity. In practice, such markers can help producers tailor feeding and processing for flavor outcomes, assist regulators in verifying claims such as "organic" or "free-range," and enable consumers to make informed choices. Integrating VOC profiling with production data and chemometric/machine learning pipelines can enable robust traceability tools and sensory-driven product differentiation, supporting transparent, value-added livestock products. Thus, this review integrates production variables, biochemical pathways, and analytical platforms to outline a research agenda toward standardized, transferable VOC-based tools for authentication and label integrity.

Indexed as

animal feedsconsumer trustfarming practicesmeat and milk productionvolatile organic compounds

Identifiers

PMID41097568
PMCPMC12524156

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.