Evidence map›Paper›PMID 40565628›Full record

ArticleFoods (Basel, Switzerland)2025

Impact of Brown Rice as Adjunct on Beer Brewing.

Yufeng Wang, Xinyi Zhao, Suya Liu, Jiangyu Zhu, Yongqi Yin, Zhengfei Yang

Abstract read
In one paragraph

Article in Foods (Basel, Switzerland), 2025. 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

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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

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.

Yufeng WangSchool of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.
Xinyi ZhaoSchool of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.
Suya LiuSchool of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.
Jiangyu ZhuSchool of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.ORCID 0000-0003-3673-6004
Yongqi YinSchool of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.
Zhengfei YangSchool of Food Science and Engineering, Yangzhou University, Yangzhou 225000, China.ORCID 0000-0001-6127-5778

Funding

Science and Technology Project of Jiangsu Provincial Bureau of Market Supervision and Administration KJ2024097
6 · The paper itself

Abstract

The utilization of alternative cereals for brewing beer has garnered significant interest in contemporary times. The utilization of alternative cereals as adjuncts has great potential for creating novel beer flavour profiles and cost savings. Brown rice (BR) is the unpolished rice grain that retains its outer layer post-hulling and is nutritionally superior to polished rice (PR). The utilization of BR in beer production remains unexplored, with its brewing attributes in comparison to PR yet to be elucidated, probably due to the potential adverse impact on beer flavour. This study involves incorporating PR and BR as adjuncts in a 40% ratio, alongside 100% Pilsen malt (PM) beer as the control, to contrast the brewing attributes (physicochemical indicators, antioxidant attributes, volatiles, and sensory analysis). Raw material analysis results showed that BR contains starch (72.97%), protein (6.85%), fat (3.38%), and ash (1.04%). The protein content of PR (4.12%) was lower than that of BR (6.85%), attributed to the absence of bran in PR, resulting in a reduced free amino nitrogen (FAN) content in its wort. Furthermore, it was observed that 40% BR beer showed enhanced antioxidant properties (0.55 mmol TE/L for DPPH and 0.75 mmol TE/L for ABTS) in comparison to 40% PR beer (0.12 mmol TE/L for DPPH and 0.4 mmol TE/L for ABTS). The changes that occurred in volatile and sensory analysis indicated discernible modifications in beer flavour consequent to the partial substitution of barley malt with BR. These findings show BR is an appropriate brewing adjunct.

Indexed as

beer qualitybeveragesfermentationwort

Identifiers

PMID40565628
PMCPMC12192036

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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.