Evidence map›Paper›PMID 41777632›Full record

ArticleFood chemistry: X2026

Elucidation of key aroma-active compounds and sensory profiles in raw and thermally sterilized milks: Perspective from molecular sensory science.

Kunli Xu, Haoying Han, Xiran Wang, Xiaoli Zhang, Xiaochun Yang, Xiaoli Lu, Zhaosheng Han, Shunyu Wang, Yanbo Wang, Bei Wang

Abstract read
In one paragraph

Article in Food chemistry: X, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Kunli XuSchool of Food and Health, Beijing Technology and Business University, Beijing 100048, China.
Haoying HanSchool of Food and Health, Beijing Technology and Business University, Beijing 100048, China.
Xiran WangSchool of Food and Health, Beijing Technology and Business University, Beijing 100048, China.
Xiaoli ZhangShimadzu CO., LTD., China Innovation Center, Beijing 100020, China.
Xiaochun YangShimadzu CO., LTD., China Innovation Center, Beijing 100020, China.
Xiaoli LuJunlebao Dairy Group Co., Ltd., Hebei, Shijiazhuang 050221, China.
Zhaosheng HanJunlebao Dairy Group Co., Ltd., Hebei, Shijiazhuang 050221, China.
Shunyu WangZhejiang Liziyuan Food Co., LTD, Zhejiang 321000, China.
Yanbo WangSchool of Food and Health, Beijing Technology and Business University, Beijing 100048, China.
Bei WangSchool of Food and Health, Beijing Technology and Business University, Beijing 100048, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thermal sterilization significantly influences milk aroma, which is a key factor affecting consumer acceptability. This study employed molecular sensory science to characterize aroma profiles and key aroma-active compounds (AACs) of raw and four thermally sterilized milks. High-intensity sterilization enhanced the milky, fatty, and sweet attributes. Eighty volatiles were identified using a self-built milk flavor database, and 45 odorants were sniffed with flavor dilution (FD) factors of 1-64. Twenty-six odorants (FD ≥ 8) were quantified using external standard calibration. To further improve the precision of quantification, eight AACs (FD ≥ 64; odor activity values ≥1) were quantified by stable isotope dilution analysis for the first time. Recombination and omission experiments revealed 16 key AACs, of which 1-octen-3-ol and butyric acid represented key contributors across five milks, octanal, nonanal, γ-nonalactone, and 2(

Indexed as

Aroma-active compoundsAroma recombination and omissionMilkMolecular sensory scienceStable isotope dilution assayThermal sterilization

Identifiers

PMID41777632
PMCPMC12950439

What OpenQuestion holds

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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.