Evidence map›Paper›PMID 40555950›Full record

ReviewWorld journal of microbiology & biotechnology2025

Algae-bacteria symbiotic biofilm system for low carbon nitrogen removal from municipal wastewater: A review.

Zhiyuan Liang, Ying Zhao, Hongbing Ji, Zifu Li

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of microbiology & biotechnology, 2025. 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. Review
  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

4 authors.

Zhiyuan LiangSchool of Energy and Environmental Engineering, University of Science and Technology, Beijing, 100083, China.
Ying ZhaoSchool of Energy and Environmental Engineering, University of Science and Technology, Beijing, 100083, China.
Hongbing JiSchool of Energy and Environmental Engineering, University of Science and Technology, Beijing, 100083, China. ji.hongbing@hotmail.com.
Zifu LiSchool of Energy and Environmental Engineering, University of Science and Technology, Beijing, 100083, China. zifulee@aliyun.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The treatment of municipal wastewater has become a significant challenge due to its intricate composition and low carbon-to-nitrogen ratio. In order to meet the discharge standards, a large amount of energy is consumed. In this context, the incorporation of microalgae into the conventional activated sludge process has become a promising strategy for low-carbon denitrification. This study aims to integrate research on algal-bacterial symbiotic systems with biofilm technology to enhance energy-efficient nitrogen removal in municipal wastewater treatment. Through comprehensive analysis, this paper elucidates (1) the developmental dynamics of algal-bacterial symbioses, (2) the process of combining algal-bacterial symbiotic systems with biofilm systems, (3) the fundamentals and operational determinants of algal-bacterial symbiotic membrane systems, and (4) the potential applications in sustainable water treatment. The proposed hybrid system demonstrates significant potential for carbon-neutral wastewater treatment through synergistic pollutant degradation, offering an innovative approach to address critical challenges in environmental sustainability and water resource management.

Indexed as

BacteriaBiofilmsCarbonMicroalgaeNitrogenSymbiosisWastewaterBiodegradation, EnvironmentalDenitrificationSewageWater PurificationCarbonNitrogenSewageWastewaterAlgae-bacteria symbiosis biofilm technologyAlgae-bacteria symbiosis systemBiofilm systemMunicipal wastewaterNitrogen removalWastewater treatment

Identifiers

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.