Literature DB >> 26339331

Evaluating the Internal Structure of Core-Shell Nanoparticles Using X-ray Photoelectron Intensities and Simulated Spectra.

M Chudzicki1, W S M Werner1, A G Shard2, Y-C Wang1, D G Castner2, C J Powell3.   

Abstract

The functionality of a new version of the National Institute of Standards and Technology database Simulation of Electron Spectra for Surface Analysis (SESSA) has been extended by implementing a new geometry engine. The engine enables users to simulate Auger-electron spectra and X-ray photoelectron spectra for different predefined morphologies (planar, islands, spheres, multi-layer core-shell particles). We compared shell thicknesses of core-shell nanoparticles derived from core-shell XPS peak intensities using Shard's method, which allows one to estimate shell thicknesses of core-shell nanoparticles, and a series of SESSA simulations for a wide range of nanoparticle dimensions. We obtained very good agreement of the shell thicknesses for cases where elastic scattering within the shell can be neglected, a result that is in accordance with the underlying assumptions of the Shard model. If elastic-scattering effects are important, there can be thickness uncertainties of up to 25 %. Experimental spectra of functionalized gold nanoparticles obtained by Techane et al. were analyzed with SESSA 2.0 both with respect to the relevant peak intensities as well as the spectral shape. Good agreement between experiment and theory was found for both cases. These results show that the single-sphere model for core-shell nanoparticles is valid when just using peak intensities, but more detailed modeling is needed to describe the inelastic background.

Entities:  

Year:  2015        PMID: 26339331      PMCID: PMC4554492          DOI: 10.1021/acs.jpcc.5b04517

Source DB:  PubMed          Journal:  J Phys Chem C Nanomater Interfaces        ISSN: 1932-7447            Impact factor:   4.126


  10 in total

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Journal:  Chem Rev       Date:  2005-04       Impact factor: 60.622

3.  Nanoparticle arrays on surfaces for electronic, optical, and sensor applications.

Authors:  A N Shipway; E Katz; I Willner
Journal:  Chemphyschem       Date:  2000-08-04       Impact factor: 3.102

4.  Efficient emission from core/(doped) shell nanoparticles: applications for chemical sensing.

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Journal:  Nano Lett       Date:  2007-10-10       Impact factor: 11.189

5.  Quantitative determination of ligand densities on nanomaterials by X-ray photoelectron spectroscopy.

Authors:  Marco D Torelli; Rebecca A Putans; Yizheng Tan; Samuel E Lohse; Catherine J Murphy; Robert J Hamers
Journal:  ACS Appl Mater Interfaces       Date:  2015-01-15       Impact factor: 9.229

6.  Simulation of XPS C1s spectra of organic monolayers by quantum chemical methods.

Authors:  Marcel Giesbers; Antonius T M Marcelis; Han Zuilhof
Journal:  Langmuir       Date:  2013-04-02       Impact factor: 3.882

7.  Surface characterization of nanomaterials and nanoparticles: Important needs and challenging opportunities.

Authors:  Donald R Baer; Mark H Engelhard; Grant E Johnson; Julia Laskin; Jinfeng Lai; Karl Mueller; Prabhakaran Munusamy; Suntharampillai Thevuthasan; Hongfei Wang; Nancy Washton; Alison Elder; Brittany L Baisch; Ajay Karakoti; Satyanarayana V N T Kuchibhatla; Daewon Moon
Journal:  J Vac Sci Technol A       Date:  2013-08-27       Impact factor: 2.427

8.  Simulation and modeling of self-assembled monolayers of carboxylic acid thiols on flat and nanoparticle gold surfaces.

Authors:  Sirnegeda Techane; Donald R Baer; David G Castner
Journal:  Anal Chem       Date:  2011-07-26       Impact factor: 6.986

Review 9.  Anisotropic metal nanoparticles: Synthesis, assembly, and optical applications.

Authors:  Catherine J Murphy; Tapan K Sau; Anand M Gole; Christopher J Orendorff; Jinxin Gao; Linfeng Gou; Simona E Hunyadi; Tan Li
Journal:  J Phys Chem B       Date:  2005-07-28       Impact factor: 2.991

Review 10.  Drug delivery and nanoparticles:applications and hazards.

Authors:  Wim H De Jong; Paul J A Borm
Journal:  Int J Nanomedicine       Date:  2008
  10 in total
  11 in total

1.  Comparisons of Analytical Approaches for Determining Shell Thicknesses of Core-Shell Nanoparticles by X-ray Photoelectron Spectroscopy.

Authors:  C J Powell; W S M Werner; H Kalbe; A G Shard; D G Castner
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2018-01-25       Impact factor: 4.126

2.  Direct Characterization of Polymer Encapsulated CdSe/CdS/ZnS Quantum Dots.

Authors:  Gilad Zorn; Shivang R Dave; Tobias Weidner; Xiaohu Gao; David G Castner
Journal:  Surf Sci       Date:  2016-06       Impact factor: 1.942

3.  Evaluation of Two Methods for Determining Shell Thicknesses of Core-Shell Nanoparticles by X-ray Photoelectron Spectroscopy.

Authors:  C J Powell; W S M Werner; A G Shard; D G Castner
Journal:  J Phys Chem C Nanomater Interfaces       Date:  2016-09-27       Impact factor: 4.126

4.  A Technique for Calculation of Shell Thicknesses for Core-Shell-Shell Nanoparticles from XPS Data.

Authors:  David J H Cant; Yung-Chen Wang; David G Castner; Alexander G Shard
Journal:  Surf Interface Anal       Date:  2016-02-09       Impact factor: 1.607

5.  Use of XPS to Quantify Thickness of Coatings on Nanoparticles.

Authors:  Donald R Baer; Yung-Cheng Wang; David G Castner
Journal:  Micros Today       Date:  2016-03-18

6.  Quantifying the Impact of Nanoparticle Coatings and Nonuniformities on XPS Analysis: Gold/Silver Core-Shell Nanoparticles.

Authors:  Yung-Chen Wang; Mark H Engelhard; Donald R Baer; David G Castner
Journal:  Anal Chem       Date:  2016-03-17       Impact factor: 6.986

7.  Multitechnique characterization of oligo(ethylene glycol) functionalized gold nanoparticles.

Authors:  Ali Rafati; Alexander G Shard; David G Castner
Journal:  Biointerphases       Date:  2016-11-09       Impact factor: 2.456

8.  Provenance information as a tool for addressing engineered nanoparticle reproducibility challenges.

Authors:  Donald R Baer; Prabhakaran Munusamy; Brian D Thrall
Journal:  Biointerphases       Date:  2016-10-19       Impact factor: 2.456

Review 9.  Analyzing the surface of functional nanomaterials-how to quantify the total and derivatizable number of functional groups and ligands.

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Review 10.  Biomedical surface analysis: Evolution and future directions (Review).

Authors:  David G Castner
Journal:  Biointerphases       Date:  2017-04-24       Impact factor: 2.456

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