Evidence map›Paper›PMID 42751565›Full record

ReviewFood chemistry: X2026

Fermentation-driven valorization of cereal by-products: Mechanisms, functional applications, and emerging AI-assisted approaches.

Yibo Chen, Chuang Liu, Tianyin Chen, Tianxiang Xue, Mengwei Chang, Yufeng He, Kunlun Liu, Guangsu Zhu

Abstract readReview
In one paragraph

Review in Food chemistry: X, 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

8 authors.

Yibo ChenCollege of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, China.
Chuang LiuSchool of Agriculture and Food Sustainability, The University of Queensland, Brisbane, QLD 4072, Australia.
Tianyin ChenCollege of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, China.
Tianxiang XueCollege of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, China.
Mengwei ChangCollege of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, China.
Yufeng HeSchool of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu 212013, China.
Kunlun LiuCollege of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, China.
Guangsu ZhuCollege of Food Science and Technology, Henan University of Technology, Zhengzhou, Henan 450001, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cereal processing generates abundant by-products, which remain underutilized despite being rich in bioactive compounds. Recent studies highlight the crucial role of fermentation in releasing bound compounds through microorganism-mediated enzymatic hydrolysis. Herein, we summarize the nutritional and functional components present in common cereal by-products, specific fermentation mechanisms for enhancing their bioactive components, and applications of fermented cereal by-products in food and other industrial sectors. Artificial intelligence (AI) has emerged as a promising tool for predicting fermentation performance, optimizing fermentation parameters, and improving bioactive compound extraction in cereal by-product valorization. Although large-scale application is challenging, integrating fermentation with AI is expected to develop the circular bioeconomy and sustainable development.

Indexed as

Artificial intelligenceCereal by-productsFermentationMachine learningSustainable development goals

Identifiers

PMID42751565
PMCPMC13580073

What OpenQuestion holds

Textmetadata
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.