Evidence map›Paper›PMID 41140610›Full record

ArticleFood chemistry: X2025

Chemical composition, aroma profile, antioxidant activity, and sensory attributes of beer according to roasting degree and malt type.

Seung Min Yu, Da Hye Song, Yu-Rim Lee, Ki Nam Kim, Sae-Hun Kim, Jeung Hee An

Abstract read
In one paragraph

Article in Food chemistry: X, 2025. 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. Comparison of Different Fruit Shapes ofFood science & nutrition · 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

6 authors.

Seung Min YuDepartment of Integrative Bioengineering, Sogang University, Seoul 04107, Republic of Korea.
Da Hye SongDepartment of Biotechnology, College of Life Science and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Yu-Rim LeeDepartment of Integrative Bioengineering, Sogang University, Seoul 04107, Republic of Korea.
Ki Nam KimDepartment of Food and Nutrition, Daejeon University, Daejeon 34520, Republic of Korea.
Sae-Hun KimDepartment of Biotechnology, College of Life Science and Biotechnology, Korea University, Seoul 02841, Republic of Korea.
Jeung Hee AnDepartment of Food and Nutrition, Gangseo University, Seoul 07661, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study examined the effects of malt roasting degree on the chemical composition, aroma profile, antioxidant activity, and sensory attributes of brewed beer. Roasting increased carbohydrate content, diastatic power, and Maillard products such as melanoidins and Amadori compounds, contributing to deeper color and enhanced antioxidant activity. Aroma profiling with an electronic nose revealed that roasting shifted key volatile classes, including esters, terpenes, pyrazines, and sulfur compounds. Light malt beer retained fruity esters (for example, ethyl hexanoate and cis-3-hexenyl acetate), whereas dark malt beer was enriched in Maillard-derived pyrazines and aldehydes (for example, 2,3-dimethylpyrazine, furfural, maltol) that impart roasted and caramelized notes. Liquid malt beer showed the greatest loss of monoterpenes (for example, γ-terpinene), indicating thermal degradation. These changes aligned with antioxidant capacity, as melanoidin- and pyrazine-rich profiles enhanced radical scavenging. Overall, roasting modulated sensory and antioxidant properties through Maillard-derived transformations, underscoring their impact on beer quality.

Indexed as

antioxidant activityaroma profileelectronic noseMaillard reactionRosting degree

Identifiers

PMID41140610
PMCPMC12552634

What OpenQuestion holds

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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.