Evidence map›Paper›PMID 37101464›Full record

ArticleACS nanoscience Au2023

Efficient Preparation of a Magnetic Helical Carbon Nanomotor for Targeted Anticancer Drug Delivery.

Yanming Sun, Renjie Pan, Yuduo Chen, Yong Wang, Lei Sun, Neng Wang, Xing Ma, Guo Ping Wang

Abstract read
In one paragraph

Article in ACS nanoscience Au, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Rolling Helical Microrobots for Cell Patterning.... International Conference on Manipulation Automation and Robotics at Small Scales (MARSS). International Conference on Manipulation Automation and Robotics at Small Scales · 2023
    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

8 authors.

Yanming SunCollege of Electronics and Information Engineering, Shenzhen University, 3688 Nanhai Boulevard, Shenzhen 518060, China.ORCID https://orcid.org/0000-0001-6898-8199
Renjie PanCollege of Electronics and Information Engineering, Shenzhen University, 3688 Nanhai Boulevard, Shenzhen 518060, China.
Yuduo ChenSchool of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, Guangdong, China.
Yong WangSchool of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, Guangdong, China.
Lei SunCollege of Electronics and Information Engineering, Shenzhen University, 3688 Nanhai Boulevard, Shenzhen 518060, China.
Neng WangCollege of Electronics and Information Engineering, Shenzhen University, 3688 Nanhai Boulevard, Shenzhen 518060, China.
Xing MaSchool of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, Guangdong, China.ORCID https://orcid.org/0000-0002-2248-4806
Guo Ping WangCollege of Electronics and Information Engineering, Shenzhen University, 3688 Nanhai Boulevard, Shenzhen 518060, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The applications of nanomotors in the biomedical field have been attracting extensive attention. However, it remains a challenge to fabricate nanomotors in a facile way and effectively load drugs for active targeted therapy. In this work, we combine the microwave heating method and chemical vapor deposition (CVD) to fabricate magnetic helical nanomotors efficiently. The microwave heating method can accelerate intermolecular movement, which converts kinetic energy into heat energy and shortens the preparation time of the catalyst used for carbon nanocoil (CNC) synthesis by 15 times. Fe

Identifiers

PMID37101464
PMCPMC10125355

What OpenQuestion holds

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Registered trials

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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.