Evidence map›Paper›PMID 35518443›Full record

ReviewRSC advances2020

Investigation of the process stability of different anammox configurations and assessment of the simulation validity of various anammox-based kinetic models.

Chunyan Wang, Hanyang Wu, Bin Zhu, Jianyang Song, Tingjie Lu, Yu-You Li, Qigui Niu

Abstract readReview
In one paragraph

Review in RSC advances, 2020. 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. Review
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.

Chunyan WangSchool of Biological and Chemical Engineering, Nanyang Institute of Technology Nanyang 473004 China.
Hanyang WuJiangxi Bocent Advanced Ceramic Environmental Technology Co., Ltd Pingxiang 337000 China.
Bin ZhuJiangxi Bocent Advanced Ceramic Environmental Technology Co., Ltd Pingxiang 337000 China.
Jianyang SongSchool of Biological and Chemical Engineering, Nanyang Institute of Technology Nanyang 473004 China.
Tingjie LuJiangxi Bocent Advanced Ceramic Environmental Technology Co., Ltd Pingxiang 337000 China.
Yu-You LiDepartment of Civil and Environmental Engineering, Graduate School of Engineering Tohoku University Miyagi 980-8579 Japan.
Qigui NiuSchool of Environmental Science and Engineering, Shandong University Jinan 250100 China niuqg96@163.com.ORCID https://orcid.org/0000-0001-9061-3844

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the last 30 years, the successful implementation of the anammox process has attracted research interest from all over the world. Various reactor configurations were investigated for the anammox process. However, the construction of the anammox process is a delicate topic in regards to the high sensitivity of the biological reaction. To better understand the effects of configurations on the anammox performance, process-kinetic models and activity kinetic models were critically overviewed, respectively. A significant difference in the denitrification capabilities was observed even with similar dominated functional species of anammox with different configurations. Although the kinetic analysis gained insight into the feasibility of both batch and continuous processes, most models were often applied to match the kinetic data in an unsuitable manner. The validity assessment illustrated that the Grau second-order model and Stover-Kincannon model were the most appropriate and shareable reactor-kinetic models for different anammox configurations. This review plays an important role in the anammox process performance assessment and augmentation of the process control.

Identifiers

PMID35518443
PMCPMC9057419

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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.