Evidence map›Paper›PMID 30400180›Full record

ArticleNanomaterials (Basel, Switzerland)2018

Size Limit and Energy Analysis of Nanoparticles during Wrapping Process by Membrane.

Xinpei Meng, Xinlei Li

Abstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Intracellular Trafficking of Size-Tuned Nanoparticles for Drug Delivery.International journal of molecular sciences · 2023
    Article
  5. The Role ofFrontiers in digital health · 2022
    Review
  6. Review
  7. Review
  8. Article
  9. Assembling responsive microgels at responsive lipid membranes.Proceedings of the National Academy of Sciences of the United States of America · 2019
    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

2 authors.

Xinpei MengMechatronics Technology R&D and Service Center, Dongguan Polytechnic, Dongguan 523808, China. mengxp@dgpt.edu.cn.
Xinlei LiMOE Key Laboratory of Laser Life Science & Institute of Laser Life Science, College of Biophotonics, South China Normal University, Guangzhou 510631, China. xlli@scnu.edu.cn.

Funding

Dongguan Polytechnic 2018 political school enterprise project ZXHQ201813Natural Science Foundation of Guangdong Province 2017A030313389Natural Science Foundation of Guangdong Province 2018A030313125Science and Technology Project of Guangzhou 201805010002
6 · The paper itself

Abstract

The wrapping of nanoparticles (NPs) by a membrane is a phenomenon of widespread and generic interest in biology, as well as in a variety of technological applications, such as drug delivery, clinical diagnostics, and biomedical imaging. However, the mechanisms of the interaction between the membrane and NPs are not well understood yet. In this paper, we have presented an analytic thermodynamic model to investigate the wrapping process of NPs by a cell membrane. It is found that the bending energy of the deformed membrane increases nonlinearly with increasing wrapping degree, which leads to a free energy barrier for the wrapping. On the basis of analysis results, the wrapping of NPs can be divided into three types, i.e., impossible wrapping, barrier wrapping, and free wrapping. Furthermore, a phase diagram for the wrapping of NPs has been constructed, which clarifies the interrelated effects of the size and the ligand density of NPs. We hope that this work can provide some help in understanding the physical mechanism of the wrapping of NPs.

Indexed as

cell membraneendocytosisnanoparticlethermodynamicswrapping process

Identifiers

PMID30400180
PMCPMC6266830

What OpenQuestion holds

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LicenceCC BY
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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.