Evidence map›Paper›PMID 42837976›Full record

ArticleUltrasonics sonochemistry2026

Ultrasonic/microwave-assisted synthesis of organosilicon quaternary ammonium-modified montmorillonite for selective removal of molybdenum from tungstate feed solution.

Yanjin Huang, Chengxiu Wu, Dengxian Liu, Qian Liu, Sili Ren, Wuhui Luo

Abstract read
In one paragraph

Article in Ultrasonics sonochemistry, 2026. 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.

Yanjin HuangJiangxi Provincial Key Laboratory of Environmental Pollution Prevention and Control in Mining and Metallurgy, Jiangxi University of Science and Technology, Ganzhou 341000, China.
Chengxiu WuJiangxi Provincial Key Laboratory of Environmental Pollution Prevention and Control in Mining and Metallurgy, Jiangxi University of Science and Technology, Ganzhou 341000, China.
Dengxian LiuJiangxi Provincial Key Laboratory of Environmental Pollution Prevention and Control in Mining and Metallurgy, Jiangxi University of Science and Technology, Ganzhou 341000, China.
Qian LiuJiangxi Provincial Key Laboratory of Environmental Pollution Prevention and Control in Mining and Metallurgy, Jiangxi University of Science and Technology, Ganzhou 341000, China.
Sili RenJiangxi Provincial Key Laboratory of Environmental Pollution Prevention and Control in Mining and Metallurgy, Jiangxi University of Science and Technology, Ganzhou 341000, China.
Wuhui LuoJiangxi Provincial Key Laboratory of Environmental Pollution Prevention and Control in Mining and Metallurgy, Jiangxi University of Science and Technology, Ganzhou 341000, China. Electronic address: luo070221@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The selective separation of molybdenum (Mo) from tungsten (W) remains challenging due to their similar chemical properties. In this study, organosilicon quaternary ammonium salts with varying alkyl chain lengths, including methyl, tetradecyl (TD), and octadecyl, were employed to modify montmorillonite (Mt) via a combined ultrasonic/microwave-assisted protocol in different solvent systems for the separation of Mo from W in simulated W-Mo solutions. The results showed that TD-modified Mt prepared in water (W-TD) and cyclohexane (C-TD) exhibited superior adsorption selectivity and amount for MoS

Indexed as

MolybdenumMontmorilloniteOrganosilicon quaternary ammonium saltsSeparation coefficientTungsten

Identifiers

PMID42837976
PMCPMC13673027

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.