Evidence map›Paper›PMID 38236564›Full record

ArticleEnvironmental science and pollution research international2024

Deciphering the influencing mechanism of hydraulic retention time on purification performance of a mixotrophic system from the perspective of reaction kinetics.

Sicheng Yuan, Qingbo Zhong, Hongjun Zhang, Wentao Zhu, Weibo Wang, Shiyang Zhang

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2024. 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
0.4field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

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

6 authors at 2 institutions in 1 country.

Sicheng YuanSchool of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, 430070, People's Republic of China.
Qingbo ZhongSchool of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, 430070, People's Republic of China.
Hongjun ZhangSchool of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, 430070, People's Republic of China.
Wentao ZhuSchool of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, 430070, People's Republic of China.
Weibo WangCAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Chinese Academy of Sciences, Wuhan, 430074, People's Republic of China.
Shiyang ZhangSchool of Civil Engineering and Architecture, Wuhan University of Technology, Wuhan, 430070, People's Republic of China. zhangshiyang@126.com.ORCID http://orcid.org/0000-0001-6229-3652
Wuhan University of Technology · CNChinese Academy of Sciences · CN

Funding

Fundamental Research Funds for the Central Universities WUT: 226807009National Natural Science Foundation of China 32171566
6 · The paper itself

Abstract

At present, eutrophication is increasingly serious, so it is necessary to effectively reduce nitrogen and phosphorus in water bodies. In this study, a pyrite/polycaprolactone-based mixotrophic denitrification (PPMD) system using pyrite and polycaprolactone (PCL) as electron donors was developed and compared with pyrite-based autotrophic denitrification (PAD) system and PCL-based heterotrophic denitrification (PHD) system through continuous flow experiment. The removal efficiency of NO

Indexed as

BioreactorsDenitrificationIronSulfidesAutotrophic ProcessesNitratesNitrogenIronNitratesNitrogenpyriteSulfidesHydraulic retention timeMixotrophic denitrificationNitrate removal efficiencyPhosphorus precipitationReaction kinetics

Identifiers

PMID38236564
OpenAlexW4390979805

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.