Evidence map›Paper›PMID 35519961›Full record

ArticleRSC advances2019

A cascade of a denitrification bioreactor and an aerobic biofilm reactor for heavy oil refinery wastewater treatment.

Honghong Dong, Xiaoyan Jiang, Shanshan Sun, Li Fang, Wei Wang, Kai Cui, Tiantian Yao, Heming Wang, Zhiyong Zhang, Ying Zhang and 2 more

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Honghong DongState Key Laboratory of Heavy Oil Processing, China University of Petroleum Beijing 102249 P. R. China sssun33@163.com +86-10-89734284.
Xiaoyan JiangChina National Petroleum Corporation Liaohe Petrochemical Company Panjin 124000 P. R. China.
Shanshan SunState Key Laboratory of Heavy Oil Processing, China University of Petroleum Beijing 102249 P. R. China sssun33@163.com +86-10-89734284.
Li FangChina National Petroleum Corporation Liaohe Petrochemical Company Panjin 124000 P. R. China.
Wei WangState Key Laboratory of Heavy Oil Processing, China University of Petroleum Beijing 102249 P. R. China sssun33@163.com +86-10-89734284.
Kai CuiState Key Laboratory of Heavy Oil Processing, China University of Petroleum Beijing 102249 P. R. China sssun33@163.com +86-10-89734284.
Tiantian YaoState Key Laboratory of Heavy Oil Processing, China University of Petroleum Beijing 102249 P. R. China sssun33@163.com +86-10-89734284.
Heming WangState Key Laboratory of Heavy Oil Processing, China University of Petroleum Beijing 102249 P. R. China sssun33@163.com +86-10-89734284.
Zhiyong ZhangState Key Laboratory of Heavy Oil Processing, China University of Petroleum Beijing 102249 P. R. China sssun33@163.com +86-10-89734284.
Ying ZhangCollege of Science, China University of Petroleum Beijing China.ORCID https://orcid.org/0000-0002-2451-5354
Zhongzhi ZhangState Key Laboratory of Heavy Oil Processing, China University of Petroleum Beijing 102249 P. R. China sssun33@163.com +86-10-89734284.ORCID https://orcid.org/0000-0002-6937-9149
Pengcheng FuState Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University Hainan 570228 P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The performance of an efficient denitrification bioreactor-aerobic biofilm reactor cascade for heavy oil refinery wastewater treatment was investigated. Optimum operation parameters for denitrification were found as follows: (1) hydraulic retention time of 8 h; (2) C/NO

Identifiers

PMID35519961
PMCPMC9061216

What OpenQuestion holds

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LicenceCC BY-NC
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.