Evidence map›Paper›PMID 40406008›Full record

ArticleRSC advances2025

Synthesis of dendritic mesoporous silica nanoparticles by ultrasonic assisted microchannel continuous flow reaction.

Chunpeng Zhang, Xiujun Wang, Jian Zhang, Shengzhen Hou, Qingqing Tang, Ming Duan, Shenwen Fang

Abstract read
In one paragraph

Article in RSC advances, 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. Article
  2. Review
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.

Chunpeng ZhangSchool of Chemistry and Chemical Engineering, Southwest Petroleum University Chengdu Sichuan China swpua124@126.com +86 02883037346 +86 02883037346.
Xiujun WangState Key Laboratory of Offshore Oil and Gas Exploitation Beijing China.
Jian ZhangState Key Laboratory of Offshore Oil and Gas Exploitation Beijing China.
Shengzhen HouState Key Laboratory of Offshore Oil and Gas Exploitation Beijing China.
Qingqing TangState Key Laboratory of Offshore Oil and Gas Exploitation Beijing China.
Ming DuanSchool of Chemistry and Chemical Engineering, Southwest Petroleum University Chengdu Sichuan China swpua124@126.com +86 02883037346 +86 02883037346.ORCID https://orcid.org/0000-0003-2320-2599
Shenwen FangSchool of Chemistry and Chemical Engineering, Southwest Petroleum University Chengdu Sichuan China swpua124@126.com +86 02883037346 +86 02883037346.ORCID https://orcid.org/0000-0002-8867-1233

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dendritic mesoporous silica nanoparticle (DMSN) possess advantages such as high specific surface area, excellent chemical stability, and good biocompatibility, which make it is a research hotspot in the field of nanomaterials. The microemulsion templating method (MET) is one of the common methods for synthesizing DMSN, but it typically requires a long reaction time. In this paper, we propose an ultrasonic-assisted microchannel continuous flow reaction to shorten the reaction time. The ultrasonic-assisted microchannel continuous flow reaction system consists of an injection system, dispersion chip, ultrasonic-assisted mixing chip, reaction coil, and condensation coil. By optimizing factors including total flow rate, material ratio, reaction temperature, reaction coil inner diameter, reaction coil length, and the concentration of NaOH and HCl in the microemulsion, the optimal synthesis conditions were determined. Under the best conditions, the reaction time for synthesizing DMSN was 33.6 min; compared to the 24 h required for synthesis in the three-neck flask, it had been shortened by 42 times. The findings of this study provide a new method for the preparation of DMSN.

Identifiers

PMID40406008
PMCPMC12096444

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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.