Evidence map›Paper›PMID 37055422›Full record

ArticleScientific reports2023

Potassium-rich mining waste addition can shorten the composting period by increasing the abundance of thermophilic bacteria during high-temperature periods.

Xiao-Jun Huo, YanZhou, Min-Jie Chen, Jian-Lin Zhou, Chun-Li Zheng

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
1.1field-weighted citation impact, top 24% of its field
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, 6 citations in OpenAlex.

  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

5 authors at 1 institution in 1 country.

Xiao-Jun HuoInner Mongolia Research Academy of Eco-Environmental Sciences, Hohhot, 010000, Inner Mongolia, China.
YanZhouInner Mongolia Research Academy of Eco-Environmental Sciences, Hohhot, 010000, Inner Mongolia, China.
Min-Jie ChenSchool of Life Science and Technology, Inner Mongolia University of Science and Technology, Baotou, 014010, Inner Mongolia, China.
Jian-Lin ZhouEngineering Research Center of Evaluation and Restoration in the Mining Ecological Environments, Inner Mongolia University of Science and& Technology, Baotou, 014010, Inner Mongolia, China.
Chun-Li ZhengSchool of Resources and Environmental Engineering, Shanghai Polytechnic University, Shanghai, 201209, Shang Hai, China. zhengchunli1979@163.com.
Inner Mongolia University of Science and Technology · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Conventional compost sludge has a long fermentation period and is not nutrient rich. Potassium-rich mining waste was used as an additive for aerobic composting of activated sludge to make a new sludge product. The effects of different feeding ratios of potassium-rich mining waste and activated sludge on the physicochemical properties and thermophilic bacterial community structure during aerobic composting were investigated. The results showed that potassium-rich waste minerals contribute to the increase in mineral element contents; although the addition of potassium-rich waste minerals affected the peak temperature and duration of composting, the more sufficient oxygen content promoted the growth of thermophilic bacteria and thus shortened the overall composting period. Considering the requirements of composting temperature, it is recommended that the addition of potassium-rich waste minerals is less than or equal to 20%.

Indexed as

CompostingBacteriaPotassiumSewageSoilTemperaturePotassiumSewageSoil

Identifiers

PMID37055422
PMCPMC10101976
OpenAlexW4365447903

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.