Evidence map›Paper›PMID 34292713›Full record

ArticleACS biomaterials science & engineering2022

Quantitative Analysis of Porous Silicon Nanoparticles Functionalization by

Ruoyu Cheng, Shiqi Wang, Karina Moslova, Ermei Mäkilä, Jarno Salonen, Jiachen Li, Jouni Hirvonen, Bing Xia, Hélder A Santos

Abstract read
In one paragraph

Article in ACS biomaterials science & engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. 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

9 authors.

Ruoyu ChengDrug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, Helsinki FI-00014, Finland.
Shiqi WangDrug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, Helsinki FI-00014, Finland.
Karina MoslovaDepartment of Chemistry, Faculty of Science, University of Helsinki, Helsinki FI-00014, Finland.
Ermei MäkiläLaboratory of Industrial Physics, Department of Physics and Astronomy, University of Turku, Turku FI-20014, Finland.ORCID 0000-0002-8300-6533
Jarno SalonenLaboratory of Industrial Physics, Department of Physics and Astronomy, University of Turku, Turku FI-20014, Finland.ORCID 0000-0002-5245-742X
Jiachen LiDrug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, Helsinki FI-00014, Finland.
Jouni HirvonenDrug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, Helsinki FI-00014, Finland.
Bing XiaCollege of Science Key Laboratory of Forest Genetics & Biotechnology (Ministry of Education of China), Nanjing Forestry University, Nanjing 210037, P. R. China.ORCID 0000-0002-1637-7908
Hélder A SantosDrug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, Helsinki FI-00014, Finland.ORCID 0000-0001-7850-6309

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Porous silicon (PSi) nanoparticles have been applied in various fields, such as catalysis, imaging, and biomedical applications, because of their large specific surface area, easily modifiable surface chemistry, biocompatibility, and biodegradability. For biomedical applications, it is important to precisely control the surface modification of PSi-based materials and quantify the functionalization density, which determines the nanoparticle's behavior in the biological system. Therefore, we propose here an optimized solution to quantify the functionalization groups on PSi, based on the nuclear magnetic resonance (NMR) method by combining the hydrolysis with standard

Indexed as

NanoparticlesSiliconAminesPolyethylene GlycolsPorosityProton Magnetic Resonance SpectroscopyAminesPolyethylene GlycolsSiliconnanoparticlesporous siliconquantitative NMRsurface chemistry

Identifiers

PMID34292713
PMCPMC9554871

What OpenQuestion holds

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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.