Evidence map›Paper›PMID 42279672›Full record

ReviewFoods (Basel, Switzerland)2026

Analytical Methods for the Characterisation of Aroma Compounds in Milk.

Kevin Ghavalas, Sonja Kukuljan, Yada Nolvachai, Snehal R Jadhav, Daniel A Dias, Russell Keast

Abstract readReview
In one paragraph

Review in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

6 authors.

Kevin GhavalasARC Training Centre for Hyphenated Analytical Separation Technologies (HyTECH), Burwood, VIC 3125, Australia.ORCID 0009-0000-5126-176X
Sonja KukuljanARC Training Centre for Hyphenated Analytical Separation Technologies (HyTECH), Burwood, VIC 3125, Australia.
Yada NolvachaiARC Training Centre for Hyphenated Analytical Separation Technologies (HyTECH), Burwood, VIC 3125, Australia.ORCID 0000-0002-8436-1836
Snehal R JadhavARC Training Centre for Hyphenated Analytical Separation Technologies (HyTECH), Burwood, VIC 3125, Australia.
Daniel A DiasARC Training Centre for Hyphenated Analytical Separation Technologies (HyTECH), Burwood, VIC 3125, Australia.ORCID 0000-0003-0129-3178
Russell KeastARC Training Centre for Hyphenated Analytical Separation Technologies (HyTECH), Burwood, VIC 3125, Australia.ORCID 0000-0003-2147-7687

Funding

Australian Research Council IC220100035
6 · The paper itself

Abstract

Milk is a globally important food valued for its nutritional content and accessibility, with extended-shelf-life products such as ultra-high-temperature (UHT) milk increasing market reach but often altering flavour and impacting consumer acceptance. Despite the central role of aroma in determining flavour, analytical approaches in dairy research are frequently applied in isolation, limiting mechanistic insight into how processing-driven changes in volatile compounds influence sensory perception. This review critically examines analytical strategies for characterising aroma in bovine drinking milk, with emphasis on sample preparation, volatile extraction, chromatographic profiling, and sensory methodologies. Across the literature, inconsistent experimental design, limited consideration of aroma-active compounds, and the separation of chemical and sensory analyses emerge as key constraints. Evidence indicates that no single analytical approach is universally optimal, with method performance dependent on matrix composition and analytical objectives; however, multidimensional chromatography and integrated sensory-instrumental approaches provide clear advantages for resolving complex flavour systems. This review highlights the need for standardised, matrix-appropriate methodologies and demonstrates that improved integration of chemical and sensory data is essential for advancing mechanistic, consumer-relevant flavour characterisation in milk.

Indexed as

analytical methodsdairy flavourflavour analysisUHT milkvolatile compounds

Identifiers

PMID42279672
PMCPMC13257149

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LicenceCC BY
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Registered trials

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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.