Evidence map›Paper›PMID 40586888›Full record

ArticleBioprocess and biosystems engineering2025

Enhancing anammox reactor performance: the role of biotic and abiotic particle addition.

Xiaoyi Ren, Xin Ye, Huiqun Shi, Mingyuan Wang, Shaohua Chen, Xiaojun Wang

Abstract read
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In one paragraph

Article in Bioprocess and biosystems engineering, 2025. 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
–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

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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.

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.

Xiaoyi RenState Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Xin YeState Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Huiqun ShiState Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Mingyuan WangState Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Shaohua ChenState Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China.
Xiaojun WangState Key Laboratory of Advanced Environmental Technology, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, 361021, China. xjwang@iue.ac.cn.

Funding

Science and Technology Program of Fujian Province 2023Y0073
6 · The paper itself

Abstract

The slow growth rate of anaerobic ammonium oxidation (anammox) bacteria and susceptibility of anammox sludge to washout pose significant challenges for the successful start-up and stable operation of the anammox process. Granulation may resolve this issue. This study investigated the effects of biotic and abiotic particle addition on the start-up and operation of anammox reactor by inoculating seed sludge with suspended, granular, magnesium ammonium phosphate (MAP) coupled anammox sludge, and pure MAP precipitates, aiming to promote granulation and preserve anammox functionality. The results showed that the start-up period of the reactor was consistent approximately 55 days, irrespective of inoculation type. Notably, the addition of anammox sludge and MAP precipitates did not notably expedite the start-up process. However, incorporating of biotic and abiotic particle additions significantly enhanced the nitrogen removal rate per unit volume of sludge (p < 0.05), achieving 2.20-2.62 kg N m⁻

Indexed as

Ammonium CompoundsBioreactorsSewageAnaerobiosisOxidation-ReductionAmmonium CompoundsSewageAnammox inoculated sludgeAnammox start-upGranulationMagnesium ammonium phosphateParticle additionStabilization strategy

Identifiers

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Read underepoch 390

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.