Evidence map›Paper›PMID 35573133›Full record

ArticleEngineering in life sciences2022

Study on dynamic changes of microbial community and lignocellulose transformation mechanism during green waste composting.

Yushan Zhang, Mengting Chen, Jingyi Guo, Ning Liu, Weiyi Yi, Zhongtai Yuan, Lifan Zeng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Engineering in life sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

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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

7 authors.

Yushan ZhangCollege of Materials and Food Zhongshan Institute, University of Electronic Science and Technology of China Zhongshan P. R. China.ORCID https://orcid.org/0000-0003-3080-3907
Mengting ChenCollege of Materials and Food Zhongshan Institute, University of Electronic Science and Technology of China Zhongshan P. R. China.
Jingyi GuoCollege of Materials and Food Zhongshan Institute, University of Electronic Science and Technology of China Zhongshan P. R. China.
Ning LiuCollege of Materials and Food Zhongshan Institute, University of Electronic Science and Technology of China Zhongshan P. R. China.
Weiyi YiCollege of Materials and Food Zhongshan Institute, University of Electronic Science and Technology of China Zhongshan P. R. China.
Zhongtai YuanCollege of Materials and Food Zhongshan Institute, University of Electronic Science and Technology of China Zhongshan P. R. China.
Lifan ZengCollege of Materials and Food Zhongshan Institute, University of Electronic Science and Technology of China Zhongshan P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are few reports on the material transformation and dominant microorganisms in the process of greening waste (GW) composting. In this study, the target microbial community succession and material transformation were studied in GW composting by using MiSeq sequencing and PICRUSt tools. The results showed that the composting process could be divided into four phases. Each phase of the composting appeared in turn and was unable to jump. In the calefactive phase, microorganisms decompose small molecular organics such as FA to accelerate the arrival of the thermophilic phase. In the thermophilic phase, thermophilic microorganisms decompose HA and lignocellulose to produce FA. While in the cooling phase, microorganisms degrade HA and FA for growth and reproduction. In the maturation phase, microorganisms synthesize humus using FA, amino acid and lignin nuclei as precursors. In the four phases of the composting, different representative genera of bacteria and fungi were detected. S

Indexed as

compostinggreen wastelignocelluloserepresentative genera

Identifiers

PMID35573133
PMCPMC9077819

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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.