Evidence map›Paper›PMID 38368299›Full record

ArticleEnvironmental science and pollution research international2024

Exploratory study on the metabolic similarity of denitrifying carbon sources.

Jinsen Zhang, Zhiheng Xia, Qi Wei, Fangzhou Luo, Zhao Jiang, Ziding Ao, Huiling Chen, Xiaoxu Niu, Guo-Hua Liu, Lu Qi and 1 more

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. 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. Replacing methanol with internally produced VFA-based carbon source for denitrification at the Henriksdal WWTP.Water science and technology : a journal of the International Association on Water Pollution Research · 2025
    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

11 authors.

Jinsen Zhang *Research Center for Low Carbon Technology of Water Environment, School of Environment and Natural Resource, Renmin University of China, Beijing, 100872, China.
Zhiheng Xia *Research Center for Low Carbon Technology of Water Environment, School of Environment and Natural Resource, Renmin University of China, Beijing, 100872, China.
Qi WeiResearch Center for Low Carbon Technology of Water Environment, School of Environment and Natural Resource, Renmin University of China, Beijing, 100872, China.
Fangzhou LuoResearch Center for Low Carbon Technology of Water Environment, School of Environment and Natural Resource, Renmin University of China, Beijing, 100872, China.
Zhao JiangResearch Center for Low Carbon Technology of Water Environment, School of Environment and Natural Resource, Renmin University of China, Beijing, 100872, China.
Ziding AoResearch Center for Low Carbon Technology of Water Environment, School of Environment and Natural Resource, Renmin University of China, Beijing, 100872, China.
Huiling ChenResearch Center for Low Carbon Technology of Water Environment, School of Environment and Natural Resource, Renmin University of China, Beijing, 100872, China.
Xiaoxu NiuResearch Center for Low Carbon Technology of Water Environment, School of Environment and Natural Resource, Renmin University of China, Beijing, 100872, China.
Guo-Hua LiuResearch Center for Low Carbon Technology of Water Environment, School of Environment and Natural Resource, Renmin University of China, Beijing, 100872, China.
Lu QiResearch Center for Low Carbon Technology of Water Environment, School of Environment and Natural Resource, Renmin University of China, Beijing, 100872, China.
Hongchen WangResearch Center for Low Carbon Technology of Water Environment, School of Environment and Natural Resource, Renmin University of China, Beijing, 100872, China. whc@ruc.edu.cn.ORCID http://orcid.org/0000-0003-1159-0600

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mixed carbon sources have been developed for denitrification to eliminate the "carbon dependency" problem of single carbon. The metabolic correlation between different carbon sources is significant as guidance for the development of novel mixed carbon sources. In this study, to explore the metabolic similarity of denitrifying carbon sources, we selected alcohols (methanol, ethanol, and glycerol) and saccharide carbon sources (glucose, sucrose, and starch). Batch denitrification experiments revealed that methanol-acclimated sludge improved the denitrification rate of both methanol (14.42 mg-N/gMLVSS*h) and ethanol (9.65 mg-N/gMLVSS*h), whereas ethanol-acclimated sludge improved the denitrification rate of both methanol (7.80 mg-N/gMLVSS*h) and ethanol (22.23 mg-N/gMLVSS*h). In addition, the glucose-acclimated sludge and sucrose-acclimated sludge possibly improved the denitrification rate of glucose and sucrose, and the glycerol-acclimated sludge improved the denitrification rate of volatile fatty acids (VFAs), alcohols, and saccharide carbon sources. Functional gene analysis revealed that methanol, ethanol, and glycerol exhibited active alcohol oxidation and glyoxylate metabolism, and glycerol, glucose, and sucrose exhibited active glycolysis metabolism. This indicated that the similarity in the denitrification metabolism of these carbon sources was based on functional gene similarity, and glycerol-acclimated sludge exhibited the most diverse metabolism, which ensured its good denitrification effect with other carbon sources.

Indexed as

CarbonMethanolBioreactorsDenitrificationEthanolGlucoseGlycerolNitrogenSewageSucroseCarbonEthanolGlucoseGlycerolMethanolNitrogenSewageSucroseAlcohol carbonDenitrificationMetabolic similaritySaccharide carbon

Identifiers

PMID38368299

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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.