Determination of the local density of polydisperse nanoparticle assemblies

Genix, Anne-Caroline; Oberdisse, Julian

doi:10.1039/c7sm01640a

Cited by 24 publications

(45 citation statements)

References 66 publications

(97 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, the intensity level in this zone can be used to extract the local density of aggregates using a correlation hole analysis developed by some of us. 11,25 The fact that the curves superimpose for both matrices show again that also these local aggregate densities are independent of the matrix type. At low q, finally, the intensities increase strongly, which is reminiscent of a large-scale filler organization.…”

Section: Resultsmentioning

confidence: 73%

“…[21][22] If one goes a step further in the description of interactions, it is possible to extract not only characteristic sizes of nanoparticles (NPs) and aggregates but also virial coefficients of interaction potentials [23][24] and local densities. 25 In a comprehensive approach of multi-scale structure, we have proposed a coherent quantitative analysis of small-angle data based on the average NP radius, the number of particles in each aggregate, aggregate size and density, and the characteristic size of large scale branches filling the sample. 11,26 Alternatively, if sufficient knowledge is available on the primary particles, e.g., if it is possible to measure them under dilute conditions in order to describe shape, polydispersity, and surface roughness quantitatively, then reverse Monte Carlo modelling may be used for a quantitative analysis of the particle and aggregate structure.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The Payne Effect: Primarily Polymer-Related or Filler-Related Phenomenon?

Warasitthinon

Genix

Sztucki

et al. 2019

Rubber Chemistry and Technology

Self Cite

View full text Add to dashboard Cite

The hysteretic softening at small dynamic strains (Payne effect)—related to the rolling resistance and viscoelastic losses of tires—was studied as a function of particle size, filler volume fraction, and temperature for carbon black (CB) reinforced uncrosslinked styrene–butadiene rubber (SBR) and a paste-like material composed of CB-filled paraffin oil. The low-strain limit for dynamic storage modulus was found to be remarkably similar for CB-filled oil and the CB-filled SBR. Small-angle X-ray scattering (SAXS) measurements on the simple composites and detailed data analysis confirmed that the aggregate structures and nature of filler branching/networking of carbon black were virtually identical within oil compared to the high molecular weight polymer matrix. The combined dynamic rheology and SAXS results provide clear evidence that the deformation-induced breaking (unjamming) of the filler network—characterized by filler–filler contacts that are percolated throughout the material—is the main cause for the Payne effect. However, the polymer matrix does play a secondary role as demonstrated by a reduction in Payne effect magnitude with increasing temperature for the CB-reinforced rubber, which was not observed to a significant extent for the oil–CB system.

show abstract

Section: Resultsmentioning

confidence: 73%

Section: Introductionmentioning

confidence: 99%

The Payne Effect: Primarily Polymer-Related or Filler-Related Phenomenon?

Warasitthinon

Genix

Sztucki

et al. 2019

Rubber Chemistry and Technology

Self Cite

View full text Add to dashboard Cite

show abstract

“…The calculations are inspired by the simulations by Genix & Oberdisse (2017). Using the Debye formula for a collection of monodisperse spheres within a larger sphere, the form factor of the complete object can be calculated.…”

Section: Appendix a Derivation Of S Clust (Q)mentioning

confidence: 99%

Assessment of structure factors for analysis of small-angle scattering data from desired or undesired aggregates

Larsen¹,

Pedersen²,

Arleth³

2020

J Appl Cryst

View full text Add to dashboard Cite

Aggregation processes are central features of many systems ranging from colloids and polymers to inorganic nanoparticles and biological systems. Some aggregated structures are controlled and desirable, e.g. in the design of size-controlled clustered nanoparticles or some protein-based drugs. In other cases, the aggregates are undesirable, e.g. protein aggregation involved in neurodegenerative diseases or in vitro studies of single protein structures. In either case, experimental and analytical tools are needed to cast light on the aggregation processes. Aggregation processes can be studied with small-angle scattering, but analytical descriptions of the aggregates are needed for detailed structural analysis. This paper presents a list of useful small-angle scattering structure factors, including a novel structure factor for a spherical cluster with local correlations between the constituent particles. Several of the structure factors were renormalized to get correct limit values in both the high-q and low-q limit, where q is the modulus of the scattering vector. The structure factors were critically evaluated against simulated data. Structure factors describing fractal aggregates provided approximate descriptions of the simulated data for all tested structures, from linear to globular aggregates. The addition of a correlation hole for the constituent particles in the fractal structure factors significantly improved the fits in all cases. Linear aggregates were best described by a linear structure factor and globular aggregates by the newly derived spherical cluster structure factor. As a central point, it is shown that the structure factors could be used to take aggregation contributions into account for samples of monomeric protein containing a minor fraction of aggregated protein. After applying structure factors in the analysis, the correct structure and oligomeric state of the protein were determined. Thus, by careful use of the presented structure factors, important structural information can be retrieved from small-angle scattering data, both when aggregates are desired and when they are undesired.

show abstract

“…It immediately follows that one can deduce an estimate of R and of N from such measurements. Moreover, one may determine the internal density from the depth of the correlation hole [139]. For polydisperse spheres, and polydisperse aggregates, equivalent relationships can be derived.…”

Section: Small-angle Scattering Of Colloids and Aggregatesmentioning

confidence: 99%

Introduction to soft matter and neutron scattering

Oberdisse

2018

EPJ Web of Conferences

Self Cite

View full text Add to dashboard Cite

As an opening lecture to the French-Swedish neutron scattering school held in Uppsala (6th to 9th of December 2016), the basic concepts of both soft matter science and neutron scattering are introduced. Typical soft matter systems like self-assembled surfactants in water, microemulsions, (co-)polymers, and colloids are presented. It will be shown that widely different systems have a common underlying physics dominated by the thermal energy, with astonishing consequences on their statistical thermodynamics, and ultimately rheological properties – namely softness. In the second part, the fundamentals of neutron scattering techniques and in particular small-angle neutron scattering as a powerful method to characterize soft matter systems will be outlined.

show abstract

Determination of the local density of polydisperse nanoparticle assemblies

Cited by 24 publications

References 66 publications

The Payne Effect: Primarily Polymer-Related or Filler-Related Phenomenon?

The Payne Effect: Primarily Polymer-Related or Filler-Related Phenomenon?

Assessment of structure factors for analysis of small-angle scattering data from desired or undesired aggregates

Introduction to soft matter and neutron scattering

Contact Info

Product

Resources

About