Accurate particle size distribution determination by nanoparticle tracking analysis based on 2-D Brownian dynamics simulation

Saveyn, Hans; Baets, Bernard De; Thas, Olivier; Hole, Patrick; Smith, J.; Meeren, Paul Van der

doi:10.1016/j.jcis.2010.09.006

Cited by 133 publications

(111 citation statements)

References 11 publications

Supporting

Mentioning

108

Contrasting

Unclassified

Order By: Relevance

“…It can track a single particle based on the fluorescence microscopy atomic image analysis. The size is determined from the average displacement of the nanoparticle undergoing Brownian motion at a time [161]. The advantage of this method is that, it can track a single nanoparticle and provides a high resolution for the sample and aggregation.…”

Section: Characterization Methods For Evaluating the Influence Of Nanmentioning

confidence: 99%

Mechanism governing nanoparticle flow behaviour in porous media: insight for enhanced oil recovery applications

2018

View full text Add to dashboard Cite

Nanotechnology has found its way to petroleum engineering, it is well-accepted path in the oil and gas industry to recover more oil trapped in the reservoir. But the addition of nanoparticles to a liquid can result in the simplest flow becoming complex. To understand the working mechanism, there is a need to study the flow behaviour of these particles. This review highlights the mechanism affecting the flow of nanoparticles in porous media as it relates to enhanced oil recovery. The discussion focuses on chemical-enhanced oil recovery, a review on laboratory experiment on wettability alteration, effect of interfacial tension and the stability of emulsion and foam is discussed. The flow behaviour of nanoparticles in porous media was discussed laying emphasis on the physical aspect of the flow, the microscopic rheological behaviour and the adsorption of the nanoparticles. It was observed that nanofluids exhibit Newtonian behaviour at low shear rate and non-Newtonian behaviour at high shear rate. Gravitational and capillary forces are responsible for the shift in wettability from oil-wet to water-wet. The dominant mechanisms of foam flow process were lamellae division and bubble to multiple bubble lamellae division. In a water-wet system, the dominant mechanism of flow process and residual oil mobilization are lamellae division and emulsification, respectively. Whereas in an oil-wet system, the generation of pre-spinning continuous gas foam was the dominant mechanism. The literature review on oil displacement test and field trials indicates that nanoparticles can recover additional oil. The challenges encountered have opened new frontier for research and are highlighted herein.

show abstract

Section: Characterization Methods For Evaluating the Influence Of Nanmentioning

confidence: 99%

Mechanism governing nanoparticle flow behaviour in porous media: insight for enhanced oil recovery applications

2018

View full text Add to dashboard Cite

show abstract

“…Some tracks were identified as 'false' and removed for all analyses. False tracks were identified using the exported 'true' or 'false' track designation from the NTA software with the additional criteria of a trajectory length threshold selected to prevent a biased over-sampling of smaller particles that are more likely to jump in and out of the camera field of view [18]. For quiescent bulk conditions, frameby-frame suspension composition was controlled by sampling particles from specific size modes as specified by the size exported from NanoSight R and then dictating the starting frame of the selected particle tracks.…”

Section: B Experimentsmentioning

confidence: 99%

“…These optimally accurate estimators are generally derived from parametric models of non-Brownian motion or other errors [17][18][19]. For example, random motion overlayed by uniform, constant directed motion leads to first-and second-order terms for mean-squared displacement (MSD), which can be determined simultaneously using maximum likelihood estimation [20].…”

Section: Introductionmentioning

confidence: 99%

Decorrelation correction for nanoparticle tracking analysis of dilute polydisperse suspensions in bulk flow

Hartman

Kirby

2017

Phys. Rev. E

View full text Add to dashboard Cite

Nanoparticle tracking analysis, a multi-probe single particle tracking technique, is a widely used method to quickly determine the concentration and size distribution of colloidal particle suspensions. Many popular tools remove non-Brownian components of particle motion by subtracting the ensemble-averaged displacement at each time step, which is termed 'de-drifting'. Though critical for accurate size measurements, de-drifting is shown here to introduce significant biasing error and can fundamentally limit the dynamic range of particle size that can be measured for dilute, heterogeneous suspensions, such as biological extracellular vesicles. We report a more accurate estimate of particle mean-squared displacement, which we call Decorrelation Analysis, that accounts for correlations between individual and ensemble particle motion, which are spuriously introduced by de-drifting. Particle tracking simulation and experimental results show that this approach more accurately determines particle diameters for low concentration, polydisperse suspensions when compared with standard de-drifting techniques.

show abstract

“…60 s sample videos were recorded with a CCD camera, and particle motion was analyzed with Nanoparticle Tracking Analysis (NTA) 2.0 Analytical software to determine rotational diameter. 51 Samples were evaluated in triplicate, with average values reported.…”

Section: Conjugation and Vaccine Preparationmentioning

confidence: 99%

Single-dose monomeric HA subunit vaccine generates full protection from influenza challenge

Mallajosyula

Hiatt

Hume

et al. 2013

Human Vaccines & Immunotherapeutics

View full text Add to dashboard Cite

Accurate particle size distribution determination by nanoparticle tracking analysis based on 2-D Brownian dynamics simulation

Cited by 133 publications

References 11 publications

Mechanism governing nanoparticle flow behaviour in porous media: insight for enhanced oil recovery applications

Mechanism governing nanoparticle flow behaviour in porous media: insight for enhanced oil recovery applications

Decorrelation correction for nanoparticle tracking analysis of dilute polydisperse suspensions in bulk flow

Single-dose monomeric HA subunit vaccine generates full protection from influenza challenge

Contact Info

Product

Resources

About