Evidence map›Paper›PMID 41366032›Full record

ArticleScientific reports2025

Application of SBR-MFC process in wastewater treatment at high-altitude areas of Xizang: research on MPC voltage boosting and stabilization strategies.

Kun Zang, Jing Bai, Chongyu Cui, Xuezheng Quan, Yongchen Zong, Kaiyue Hao

Abstract read
In one paragraph

Article in Scientific reports, 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

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

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.

Kun ZangCollege of Clean Energy and Electrical Engineering, Xizang Agriculture and Animal Husbandry University, Lin zhi, 860000, People's Republic of China.
Jing BaiCollege of Clean Energy and Electrical Engineering, Xizang Agriculture and Animal Husbandry University, Lin zhi, 860000, People's Republic of China.
Chongyu CuiCollege of Clean Energy and Electrical Engineering, Xizang Agriculture and Animal Husbandry University, Lin zhi, 860000, People's Republic of China. cuichongyu@163.com.
Xuezheng QuanCollege of Clean Energy and Electrical Engineering, Xizang Agriculture and Animal Husbandry University, Lin zhi, 860000, People's Republic of China.
Yongchen ZongCollege of Water Conservancy and Civil Engineering, Xizang Agriculture and Animal Husbandry University, Lin zhi, 860000, People's Republic of China.
Kaiyue HaoState Key Laboratory of Water Engineering Ecology and Environment in Arid Area, Xi'an University of Technology, Xi'an, 710048, People's Republic of China.

Funding

China Scholarship Council NO. 202308610325Department of Science and Technology of XiZang Autonomous Region XZ202401JD0005XiZang Agricultural and Animal Husbandry University NYQNZR2025-02
6 · The paper itself

Abstract

The contradiction between the demand for plateau wastewater treatment and high energy consumption has become increasingly prominent, necessitating the development of efficient microbial fuel cells and the exploration of microbial communities adapted to high-altitude conditions. Based on an SBR-MFC platform established in the Qinghai-Xizang Plateau environment, this study addresses issues such as low output voltage, strong output randomness, and instability in series/parallel systems. For a high-gain DC/DC boost converter, a dual closed-loop model predictive control strategy is proposed. A closed-loop control function is constructed, taking the output voltage and excitation inductor current as controlled variables. By feeding back and correcting prediction and real-time detection errors, the corresponding operating mode is selected to achieve dynamic regulation of the duty cycle. Using simulation software, analyses were conducted for MFC and MFCs output conditions of 3.3 V and 4.8 V. Parameters such as overshoot, operating duration, steady-state proportion, and efficiency under different schemes were compared to validate the effectiveness of the control strategy. Additionally, the platform achieved removal rates of 57.88% for COD, 65.21% for TN, and 30.36% for TP. Microbial community analysis indicated a succession toward electroactive genera such as Clostridium and Pseudomonas, contributing to the exploration of dominant microbial populations in MFCs applied in the Qinghai-Xizang Plateau region.

Indexed as

Bioelectric Energy SourcesBioreactorsWaste Disposal, FluidWastewaterWater PurificationAltitudeChinaElectricityWastewaterHigh-altitudeHigh-gain DC/DC converterMicrobial fuel cellMPCSequencing batch reactor process

Identifiers

PMID41366032
PMCPMC12800164

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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.