Evidence map›Paper›PMID 30367040›Full record

ArticleNature communications2018

Mass spectrometry and Monte Carlo method mapping of nanoparticle ligand shell morphology.

Zhi Luo, Yanfei Zhao, Tamim Darwish, Yue Wang, Jing Hou, Francesco Stellacci

Abstract read
In one paragraph

Article in Nature communications, 2018. 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. 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

6 authors.

Zhi LuoInstitute of Materials, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland.ORCID http://orcid.org/0000-0001-5590-4849
Yanfei ZhaoInstitute of Materials, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland.ORCID http://orcid.org/0000-0002-4111-4990
Tamim DarwishThe National Deuteration Facility, Australian Nuclear Science and Technology Organisation, 2232, Kirrawee DC, NSW, Australia.
Yue WangInstitute of Materials, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland.
Jing HouInstitute of Materials, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland.
Francesco StellacciInstitute of Materials, École Polytechnique Fédérale de Lausanne, 1015, Lausanne, Switzerland. francesco.stellacci@epfl.ch.ORCID http://orcid.org/0000-0003-4635-6080

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Janus, patchy, stripe-like, or random arrangements of molecules within the ligand shell of nanoparticles affect many properties. Among all existing ligand shell morphology characterization methods, the one based on mass spectroscopy is arguably the simplest. Its greatest limitation is that the results are qualitative. Here, we use a tailor-made Monte Carlo type program that fits the whole MALDI spectrum and generates a 3D model of the ligand shell. Quantitative description of the ligand shell in terms of nearest neighbor distribution and characteristic length scale can be readily extracted by the model, and are compared with the results of other characterization methods. A parameter related to the intermolecular interaction is extracted when this method is combined with NMR. This approach could become the routine method to characterize the ligand shell morphology of many nanoparticles and we provide an open access program to facilitate its use.

Identifiers

PMID30367040
PMCPMC6203843

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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.