Evidence map›Paper›PMID 39223214›Full record

ArticleScientific reports2024

Synthesis of a new oil-absorbing PVC oil boom and its application to maritime oil spills.

Chao Liu, Xinlei Jia, Yonghui Wang, Yuxin Gu, Yanjuan Liu, Lixin Wei, Lanjuan Xu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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. 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.

Chao LiuHeilongjiang Provincial Key Laboratory of Oilfield Applied Chemistry and Technology, Daqing Normal University, Daqing, 163712, China.
Xinlei JiaDepartment of Chemical Engineering and Safety, Shandong Aeronautical University, Binzhou, 256603, China. 18434362466@163.com.
Yonghui WangDepartment of Chemical Engineering and Safety, Shandong Aeronautical University, Binzhou, 256603, China.
Yuxin GuSchool of Petroleum Engineering, Northeast Petroleum University, Daqing, 163318, China.
Yanjuan LiuSchool of Petroleum Engineering, Northeast Petroleum University, Daqing, 163318, China.
Lixin WeiHeilongjiang Provincial Key Laboratory of Oilfield Applied Chemistry and Technology, Daqing Normal University, Daqing, 163712, China.
Lanjuan XuDepartment of Chemical Engineering and Safety, Shandong Aeronautical University, Binzhou, 256603, China.

Funding

Natural Science Foundation of Heilongjiang LH2022E025
6 · The paper itself

Abstract

This paper aims to address the issue of environmental pollution resulting from marine oil spills by evaluating the oil adsorption performance of commonly used fence materials. Conventional oil adsorption materials exhibit limited rates and capacities for oil adsorption. Existing methods have proven insufficient in meeting the requirements for efficient and rapid oil-water separation. A new oil-absorbing barrier was developed by utilizing high oil adsorption resin as the primary material and hydroxypropyl methyl cellulose (HPMC) as the binder, leveraging the exceptional oil adsorption and hydrophobic properties of P(BMA-SMA-St)/MIL-101(Fe) resin. The oil-absorbing fence was characterized using scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FTIR) and thermogravimetric analysis (TGA). The oil adsorption rates of carbon tetrachloride, toluene, diesel and gasoline by the oil adsorption fence with 25 g/L resin content were 101.26 g/m

Indexed as

High oil adsorption resinMIL-101(Fe)Oil adsorption paintOil fence

Identifiers

PMID39223214
PMCPMC11369207

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.