Evidence map›Paper›PMID 42158899›Full record

ArticleFrontiers in chemistry2026

Phosphorus recovery from high-COD and strongly acidic wastewater by vivianite crystallization: feasibility and optimization of operating conditions.

Kai Cui, Guangyu Xu, Fei Ma, Hong Zhang, Jiahao Cao, Yan Yi, Kun Guo

Abstract read
In one paragraph

Article in Frontiers in chemistry, 2026. 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. 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

7 authors.

Kai CuiSchool of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, China.
Guangyu XuSchool of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, China.
Fei MaSchool of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, China.
Hong ZhangSchool of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, China.
Jiahao CaoSchool of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, China.
Yan YiSchool of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, China.
Kun GuoSchool of Chemical Engineering and Technology, Xi'an Jiaotong University, Xi'an, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acidified oil wastewater contains high concentrations of phosphorus and organic pollutants, which not only pose environmental risks but also contain recoverable phosphorus resources. However, its complex matrix (high COD and acidic environment) poses great challenges to phosphorus recovery technologies. This study successfully developed a new phosphorus recovery strategy adapted to the wastewater characteristics and optimized key operating parameters using response surface methodology. Key parameters including pH, Fe:P molar ratio, reaction time and residence time were investigated, clarifying their regulatory roles in the complex wastewater system. Under the optimal process conditions (pH = 7.77, Fe:P molar ratio = 2.24, reaction time = 2.23 h, and hydraulic residence time = 4.16 h), the phosphorus recovery rate reached 93.54%, and the vivianite crystallization rate reached 91.39%. Furthermore, a process parameter prediction model (the verification results and the model prediction was less than 2.1%) was established to produce vivianite crystallization with large particle size (d

Indexed as

acidified oil wastewateroptimization of operating conditionsphosphorous recoveryprocess prediction modelresponse surface methodologyvivianite crystallization

Identifiers

PMID42158899
PMCPMC13182519

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.