Evidence map›Paper›PMID 42334606›Full record

ReviewAdvances in biochemical engineering/biotechnology2026

Valorization of Agricultural Residues for Biohydrogen Production via Dark Fermentation.

Cao Guangli, Wu Jiwen, Liu Bingfeng, Fan Shengqiang, Xie Guojun, Sun Jiazheng, Shanshan Yang, Guan Yujing

Abstract readReview
PubMed Publisher
In one paragraph

Review in Advances in biochemical engineering/biotechnology, 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.

Cao GuangliState Key Laboratory of Urban-Rural Water Resources and Environment, School of Environment, Harbin Institute of Technology, Harbin, China. caogl@hit.edu.cn.
Wu JiwenState Key Laboratory of Urban-Rural Water Resources and Environment, School of Environment, Harbin Institute of Technology, Harbin, China.
Liu BingfengState Key Laboratory of Urban-Rural Water Resources and Environment, School of Environment, Harbin Institute of Technology, Harbin, China.
Fan ShengqiangState Key Laboratory of Urban-Rural Water Resources and Environment, School of Environment, Harbin Institute of Technology, Harbin, China.
Xie GuojunState Key Laboratory of Urban-Rural Water Resources and Environment, School of Environment, Harbin Institute of Technology, Harbin, China.
Sun JiazhengState Key Laboratory of Urban-Rural Water Resources and Environment, School of Environment, Harbin Institute of Technology, Harbin, China.
Shanshan YangState Key Laboratory of Urban-Rural Water Resources and Environment, School of Environment, Harbin Institute of Technology, Harbin, China.
Guan YujingState Key Laboratory of Urban-Rural Water Resources and Environment, School of Environment, Harbin Institute of Technology, Harbin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biohydrogen has emerged as a promising alternative energy carrier due to its renewability and environmental friendliness. In recent decades, significant progress has been made in biohydrogen production from organic waste, particularly agricultural residues, which represent one of the most abundant renewable resources globally. This chapter provides a comprehensive overview of the latest advances in the biotechnological conversion of agricultural biomass into biohydrogen, with a particular focus on dark fermentation as a sustainable and efficient approach. It begins by addressing the structural complexity of agricultural waste and the associated challenges in microbial conversion. The core mechanisms of dark fermentation are discussed, along with key microbial communities involved and the primary factors affecting biohydrogen yield. The chapter further evaluates pretreatment methods, fermentation processes, and emerging strategies for improving performance. In addition, it highlights the importance of machine learning-based modeling, process integration, techno-economic assessment, and life cycle analysis in advancing the practical application of dark fermentation for biohydrogen production from agricultural biomass. The purpose is to provide the theoretical and technical basis for the valorization of agricultural residue into biohydrogen.

Indexed as

AgricultureBiofuelsFermentationHydrogenBiomassBiofuelsHydrogenAgricultural residueBioconversionBiohydrogenDark fermentationPretreatment

Identifiers

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.