Evidence map›Paper›PMID 35531503›Full record

ArticleRSC advances2019

Identification of parameters needed for optimal anaerobic co-digestion of chicken manure and corn stover.

Yilong Yan, Ziwen Du, Liqiu Zhang, Li Feng, Dezhi Sun, Yan Dang, Dawn E Holmes, Jessica A Smith

Abstract read
In one paragraph

Article in RSC advances, 2019. 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

8 authors.

Yilong YanBeijing Key Laboratory for Source Control Technology of Water Pollution, Engineering Research Center for Water Pollution Source Control and Eco-remediation, College of Environmental Science & Engineering, Beijing Forestry University 35 Tsinghua East Road Beijing 100083 China ziwendu@bjfu.edu.cn zhangliqiu@163.com zhangliqiu@bjfu.edu.cn.
Ziwen DuBeijing Key Laboratory for Source Control Technology of Water Pollution, Engineering Research Center for Water Pollution Source Control and Eco-remediation, College of Environmental Science & Engineering, Beijing Forestry University 35 Tsinghua East Road Beijing 100083 China ziwendu@bjfu.edu.cn zhangliqiu@163.com zhangliqiu@bjfu.edu.cn.
Liqiu ZhangBeijing Key Laboratory for Source Control Technology of Water Pollution, Engineering Research Center for Water Pollution Source Control and Eco-remediation, College of Environmental Science & Engineering, Beijing Forestry University 35 Tsinghua East Road Beijing 100083 China ziwendu@bjfu.edu.cn zhangliqiu@163.com zhangliqiu@bjfu.edu.cn.ORCID https://orcid.org/0000-0003-0828-1495
Li FengBeijing Key Laboratory for Source Control Technology of Water Pollution, Engineering Research Center for Water Pollution Source Control and Eco-remediation, College of Environmental Science & Engineering, Beijing Forestry University 35 Tsinghua East Road Beijing 100083 China ziwendu@bjfu.edu.cn zhangliqiu@163.com zhangliqiu@bjfu.edu.cn.
Dezhi SunBeijing Key Laboratory for Source Control Technology of Water Pollution, Engineering Research Center for Water Pollution Source Control and Eco-remediation, College of Environmental Science & Engineering, Beijing Forestry University 35 Tsinghua East Road Beijing 100083 China ziwendu@bjfu.edu.cn zhangliqiu@163.com zhangliqiu@bjfu.edu.cn.
Yan DangBeijing Key Laboratory for Source Control Technology of Water Pollution, Engineering Research Center for Water Pollution Source Control and Eco-remediation, College of Environmental Science & Engineering, Beijing Forestry University 35 Tsinghua East Road Beijing 100083 China ziwendu@bjfu.edu.cn zhangliqiu@163.com zhangliqiu@bjfu.edu.cn.
Dawn E HolmesDepartment of Physical and Biological Sciences, Western New England University 1215 Wilbraham Road Springfield Massachusetts 01119 USA.
Jessica A SmithDepartment of Biomolecular Sciences, Central Connecticut State University 1615 Stanley Street New Britain CT 06050 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While studies have shown that anaerobic co-digestion of chicken manure (CM) and corn stover (CS) is an efficient method to treat these agricultural wastes, the microbial ecology of these systems and optimal parameters for the digestion process are yet to be determined. In this study, the effects of different initial substrate concentrations and CS : CM mixture ratios on co-digestion and microbial community structure were evaluated. Results demonstrated that both the highest cumulative methane yields and methane production rates were obtained from reactors with a CS : CM ratio of 1 : 1 during hemi-solid-state anaerobic digestion (HSS-AD). Cumulative methane yields and methane production rates were 24.8% and 42% lower in solid-state anaerobic digestion (SS-AD) reactors using the same CS : CM ratios. Analysis of microbial community structures revealed that cellulolytic bacteria and a diversity of syntrophic microorganisms capable of direct interspecies electron transfer (DIET) and hydrogen interspecies transfer (HIT) were enriched in the best-performing reactors.

Identifiers

PMID35531503
PMCPMC9072019

What OpenQuestion holds

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LicenceCC BY-NC
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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.