Effect of the Hydrodynamic Radius of Colloid Microspheres on theEstimation of the Coagulation Rate Constant

Xuan, DU; Xu, Shenghua; Sun, Zhiwei; Yan, A

doi:10.3866/pku.whxb20100941

Cited by 8 publications

(4 citation statements)

References 5 publications

(5 reference statements)

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“…Then, the transfer charge of each agglomerate is attained from the total charge of nanoparticles and the particle size distribution of R′ S . Finally, based on the theory proposed by Derjaguin, Landau and Verwey, Overbeek (DLVO), the spacing R D is calculated from the particle size and surface charge of the agglomerates [50][51][52][53][54] and is modified iteratively with RKA. The details are described in Note S5, Supporting Information.…”

Section: The Improved Vfls-teng and Its Output Performancementioning

confidence: 99%

In Situ Nanofluid Dispersion Monitoring by Liquid–Solid Triboelectric Nanogenerator Based on Tuning the Structure of the Electric Double Layer

Luo

Wang

Yang

et al. 2022

Adv Funct Materials

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An agglomeration phenomenon characterized by nanoparticle dispersion is a decisive factor that reflects the degree of the maintained overall performance of nanofluids and other nanocomposites. However, the quantitative characterization and non-destructive measurement for nanofluid dispersion (NFD) still remain challenged. Herein, an in situ NFD measurement system based on a variable frequency liquid-solid triboelectric nanogenerator (VFLS-TENG) is developed. This work utilizes VFLS-TENG as a passive probe and proposes an equivalent capacitance circuit model for detecting NFD based on the electric double layer model at liquid-solid interfaces. In the circuit model, a quantitative calculation process for both particle size and spacing is introduced through parameter identification using the Quantum Genetic and Levenberg-Marquardt hybrid algorithm, and parameter separation using the Runge-Kutta algorithm. The results demonstrates a good agreement with the traditional methods, among which the measured particle size is more accurate than the hydrodynamic diameter of dynamic light scattering by 28.6% with a high sensitivity of 1667 nm nF −1 . The proposed method is capable of measuring the effective charge on the nanoparticle surface in situ, and simultaneously obtaining the particle size and spacing for the online monitoring NFD, thus further facilitating the controllable preparation during the nano-composites modification, and quantitative optimization of nanofluid design performance.

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Section: The Improved Vfls-teng and Its Output Performancementioning

confidence: 99%

In Situ Nanofluid Dispersion Monitoring by Liquid–Solid Triboelectric Nanogenerator Based on Tuning the Structure of the Electric Double Layer

Luo

Wang

Yang

et al. 2022

Adv Funct Materials

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“…The mean particle size of PSMA-LC-NS based on scanning electron microscope (SEM) image (Figure 1a) and transmission electron microscope (TEM) image (Figure 1b) were 103 nm and 102 nm, respectively, which was smaller than the hydrated particle size (Figure 1d). The main reason was that the nanoparticles are the real particle size in a dried state in SEM and TEM image, whereas the nanoparticles are composed of micelle core and swollen corona in the dynamic light scattering (DLS) test [25][26][27]. Moreover, the prepared PSMA-LC-NS exhibited almost spherical morphology and comparatively monodisperse distribution.…”

Section: Characterization Of the Nanospheresmentioning

confidence: 99%

Construction and Characterization of Novel Hydrophilic Nanospheres Loaded with Lambda-Cyhalothrin via Ultrasonic Emulsification–Solvent Evaporation

Wang

et al. 2022

IJMS

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Safe and efficient pesticide formulations have attracted great attention for the prevention and control of diseases and pests. In recent years, improving the effectiveness and duration of pesticides through nanotechnology has become a research hotspot in the field of pesticide formulations. Here, we develop a novel hydrophilic lambda-cyhalothrin nanospheres encapsulated with poly(styrene-co-maleic anhydride) (PSMA) via the ultrasonic emulsification–solvent evaporation method, which exhibited better particle size uniformity and dispersion in comparison with the traditional method. The effects of PSMA content, oil phase/water phase ratio and phacoemulsification time on the particle size and morphology of nanoparticles were investigated to optimize preparation process parameters. Meanwhile, the wettability and adhesion behavior on the leaf surface, the release properties, and the storage stability of nanoparticles were characterized to evaluate the performance of the novel nano-formulation. This work not only establishes a facile and promising method for the applicable of insoluble pesticides, but also develops an innovative nano-formulation with hydrophilicity and high leaf adhesion, which opens a new direction in plant protection and residue reduction.

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“…Smoluchowski modeled the aggregation rate of particles by calculating the rate of diffusion of particles toward a central reference particle 18,19 . Du 20 deduced the theoretical formula for calculating the aggregation rate constant in the rapid aggregation and the slow aggregation of charged particles based on the Smoluchowski theory. In the CCA model, the aggregation process can be regarded as a process in which a moving particle or cluster collides with another static particle or cluster and aggregates together with a certain probability 21 .…”

Section: The Aggregation Rate Of Particlesmentioning

confidence: 99%

“…(10) represents the formula for the rapid aggregation rate obtained by the Smoluchowski theory combined with the characteristics of the CCA model. For the slow aggregation rate, the particles need to overcome the repulsive barrier after the collision, so the slow aggregation rate can be expressed as 20 :…”

Section: The Aggregation Rate Of Particlesmentioning

confidence: 99%

Aggregation modeling of the influence of pH on the aggregation of variably charged nanoparticles

Xiong

2021

Preprint

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The aggregation of variably charged nanoparticles is usually induced by the changes in internal and external conditions, such as solution temperature, pH, particle size, van der Waals force, and electrostatic repulsion among particles. In order to explore the effect of pH on the aggregation of variable charge nanoparticles, this paper proposed an extended model based on the 3D on-lattice Cluster-Cluster Aggregation (CCA) model. The extended model successfully established the relationship between pH and sticking probability, and used Smoluchowski theory to calculate the aggregation rate of nanoparticles. The simulation results showed that: (1) the change of the aggregation rate of the variable charge nanoparticles with pH conforms to the Gaussian distribution, (2) the initial particle concentration has a significant effect on the aggregation rate of the nanoparticles, and (3) pH can affect the competition between van der Waals force and electrostatic repulsion between particles, thereby affecting the degree of openness of clusters. The research demonstrated the extended CCA model is valuable in studying the aggregation of the variably charged nanoparticles via transforming the corresponding influence factors into the influence on the sticking probability.

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Effect of the Hydrodynamic Radius of Colloid Microspheres on theEstimation of the Coagulation Rate Constant

Cited by 8 publications

References 5 publications

In Situ Nanofluid Dispersion Monitoring by Liquid–Solid Triboelectric Nanogenerator Based on Tuning the Structure of the Electric Double Layer

In Situ Nanofluid Dispersion Monitoring by Liquid–Solid Triboelectric Nanogenerator Based on Tuning the Structure of the Electric Double Layer

Construction and Characterization of Novel Hydrophilic Nanospheres Loaded with Lambda-Cyhalothrin via Ultrasonic Emulsification–Solvent Evaporation

Aggregation modeling of the influence of pH on the aggregation of variably charged nanoparticles

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