cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.57760/sciencedb.partic.00082
title: Pickering emulsions stabilized by biocompatible particles: A Review of preparation, bioapplication, and perspective
title: Pickering emulsions stabilized by biocompatible particles: A Review of preparation, bioapplication, and perspective

description: The phenomenon of adsorption of solid particles at fluid interfaces to stabilize emulsions or foams have been known for more than a century. Today, particle-stabilized emulsions, often referred to as Pickering emulsions, are receiving growing attention as they are encountered in oil recovery and have long been used in personal care products and food industry. In the past 10 years the focus of the Pickering emulsion has also increasingly shifted to biomedical applications with thanks to novel syntheses of a wide range of biocompatible particle stabilizers. Here, a brief overview of the development of biocompatible particles is given for Pickering emulsion stabilization, including alginate, poly(lactic-co-glycolic acid) (PLGA), and protein-based particles. The materials capable of being prepared by templating from emulsion stabilized with biocompatible particles include colloidal capsules and hierarchically porous materials. It is hoped that the understanding gained from the recent intense activity in the field will enable more researchers to modify existing materials and design new formulations, which would be beneficial for exploring more biological applications.
description: The phenomenon of adsorption of solid particles at fluid interfaces to stabilize emulsions or foams have been known for more than a century. Today, particle-stabilized emulsions, often referred to as Pickering emulsions, are receiving growing attention as they are encountered in oil recovery and have long been used in personal care products and food industry. In the past 10 years the focus of the Pickering emulsion has also increasingly shifted to biomedical applications with thanks to novel syntheses of a wide range of biocompatible particle stabilizers. Here, a brief overview of the development of biocompatible particles is given for Pickering emulsion stabilization, including alginate, poly(lactic-co-glycolic acid) (PLGA), and protein-based particles. The materials capable of being prepared by templating from emulsion stabilized with biocompatible particles include colloidal capsules and hierarchically porous materials. It is hoped that the understanding gained from the recent intense activity in the field will enable more researchers to modify existing materials and design new formulations, which would be beneficial for exploring more biological applications.
DOI: 10.57760/sciencedb.partic.00083
title: Engineering lattice defects in 2D nanomaterials for enhancing biomedical performances
title: Engineering lattice defects in 2D nanomaterials for enhancing biomedical performances

description: 2D nanomaterials are widely investigated for biomedical applications, attributed to their large specific surface area, high therapeutic loading capacity, and unique optical, thermal, and/or electronic characteristics. Lattice defects affect the theranostic performance of 2D nanomaterials significantly by altering their electronic properties and chemical binding. Recent investigations have shown that defect-rich 2D nanomaterials are capable of enhancing tumor treatment through efficient drug delivery, photothermal and photodynamic therapies (PTT and PDT), and improving diagnostics via computed tomography (CT), photoacoustic and magnetic resonance imaging. This review summarizes recent progresses, including synthesis, characterization approach, and applications of defect-engineered 2D nanomaterials that are potentially useful in cancer treatment. The expert opinions are also proposed as the conclusion.
description: 2D nanomaterials are widely investigated for biomedical applications, attributed to their large specific surface area, high therapeutic loading capacity, and unique optical, thermal, and/or electronic characteristics. Lattice defects affect the theranostic performance of 2D nanomaterials significantly by altering their electronic properties and chemical binding. Recent investigations have shown that defect-rich 2D nanomaterials are capable of enhancing tumor treatment through efficient drug delivery, photothermal and photodynamic therapies (PTT and PDT), and improving diagnostics via computed tomography (CT), photoacoustic and magnetic resonance imaging. This review summarizes recent progresses, including synthesis, characterization approach, and applications of defect-engineered 2D nanomaterials that are potentially useful in cancer treatment. The expert opinions are also proposed as the conclusion.
DOI: 10.57760/sciencedb.partic.00084
title: Enzyme–metal nanocomposites for antibacterial applications
title: Enzyme–metal nanocomposites for antibacterial applications

description: Metal nanoparticles have been used as antibacterial agents widely, and the combined use of enzymes and metal nanoparticles promotes antibacterial activity, achieving a synergistic effect. Additionally, enzymes decrease the amounts of metals and increase biocompatibility, thereby reducing toxicity of metals. However, the efficiency of enzymes is hindered when coupled with metals, which causes deactivation in the function of enzymes. How can a balance be struck between metals and enzymes? Although the antibacterial mechanism of metal nanoparticles is relatively clear, how enzyme–metal nanocomposites work against bacteria is not conclusive. Here, we describe several examples on the synthesis of enzyme–metal nanocomposites via co-immobilization or in situ reduction and summarize how enzyme–metal nanocomposites combat microorganisms.
description: Metal nanoparticles have been used as antibacterial agents widely, and the combined use of enzymes and metal nanoparticles promotes antibacterial activity, achieving a synergistic effect. Additionally, enzymes decrease the amounts of metals and increase biocompatibility, thereby reducing toxicity of metals. However, the efficiency of enzymes is hindered when coupled with metals, which causes deactivation in the function of enzymes. How can a balance be struck between metals and enzymes? Although the antibacterial mechanism of metal nanoparticles is relatively clear, how enzyme–metal nanocomposites work against bacteria is not conclusive. Here, we describe several examples on the synthesis of enzyme–metal nanocomposites via co-immobilization or in situ reduction and summarize how enzyme–metal nanocomposites combat microorganisms.
DOI: 10.57760/sciencedb.partic.00085
title: Biomolecule@COF: Natural-artificial hybrid microcapsules for controllable biocatalysis
title: Biomolecule@COF: Natural-artificial hybrid microcapsules for controllable biocatalysis

description: The assembly of biomacromole particles with artificial solid matrixes to fabricate hybrid composites has been demonstrated as an efficient strategy to promote both components’ applications. Elaborating matrixes as well as appropriate assembly method is essential for optimal performances of the obtained natural-artificial composites. Herein, we fabricated the Cyt c@COF-42-B microcapsule through a sacrificial templating method and researched their adjustable biocatalysis by precisely adjusting the microenvironments of these assembled enzyme@COF particles. As a result, the hydrophobicity and mass transfer of the COF microcapsule can be controlled by modifying the different amounts of PEG moieties, thus improving the composite’s bioactivity. We found that compared with pristine Cyt c@COF-42-B without PEG, the Cyt c@COF-42-B-PEG exhibited a ~2.2 times higher activity. This study provides a significant step toward designing customizable functional natural-artificial composites for enhanced biomacromolecule’s activity.
description: The assembly of biomacromole particles with artificial solid matrixes to fabricate hybrid composites has been demonstrated as an efficient strategy to promote both components’ applications. Elaborating matrixes as well as appropriate assembly method is essential for optimal performances of the obtained natural-artificial composites. Herein, we fabricated the Cyt c@COF-42-B microcapsule through a sacrificial templating method and researched their adjustable biocatalysis by precisely adjusting the microenvironments of these assembled enzyme@COF particles. As a result, the hydrophobicity and mass transfer of the COF microcapsule can be controlled by modifying the different amounts of PEG moieties, thus improving the composite’s bioactivity. We found that compared with pristine Cyt c@COF-42-B without PEG, the Cyt c@COF-42-B-PEG exhibited a ~2.2 times higher activity. This study provides a significant step toward designing customizable functional natural-artificial composites for enhanced biomacromolecule’s activity.
DOI: 10.5281/zenodo.15292067
title: austrolebias_wolterstorffi_decontaminated_FSCR.fasta.gz
DOI: 10.5281/zenodo.15292068
title: austrolebias_wolterstorffi_decontaminated_FSCR.fasta.gz
DOI: 10.57760/sciencedb.partic.00086
title: Pickering emulsions stabilized by colloidal surfactants: Role of solid particles
title: Pickering emulsions stabilized by colloidal surfactants: Role of solid particles

description: Pickering emulsions are emulsions stabilized by colloidal surfactants, i.e. solid particles. Compared with traditional molecular surfactant-stabilized emulsions, Pickering emulsions show many advantages, such as high resistance to coalescence, long-term stability, good biocompatibility and tunable properties. In recent years, Pickering emulsions are widely applied in scientific researches and industrial applications. In this review, we focus on the influences of particle properties on Pickering emulsions, including particle amphiphilicity, concentration, size and shape, and summarize the strategies developed for the preparation of amphiphilic Janus particles. The applications of Pickering emulsions in food industry, cosmetic industry, material science, drug delivery, biomedical research and vaccine adjuvant will also be covered. Pickering emulsions are a unique system for multi-disciplinary studies and will become more and more important in the future.
description: Pickering emulsions are emulsions stabilized by colloidal surfactants, i.e. solid particles. Compared with traditional molecular surfactant-stabilized emulsions, Pickering emulsions show many advantages, such as high resistance to coalescence, long-term stability, good biocompatibility and tunable properties. In recent years, Pickering emulsions are widely applied in scientific researches and industrial applications. In this review, we focus on the influences of particle properties on Pickering emulsions, including particle amphiphilicity, concentration, size and shape, and summarize the strategies developed for the preparation of amphiphilic Janus particles. The applications of Pickering emulsions in food industry, cosmetic industry, material science, drug delivery, biomedical research and vaccine adjuvant will also be covered. Pickering emulsions are a unique system for multi-disciplinary studies and will become more and more important in the future.
DOI: 10.57760/sciencedb.partic.00087
title: Numerical investigations on gas–solid flow in circulating fluidized bed risers using a new cluster-based drag model
title: Numerical investigations on gas–solid flow in circulating fluidized bed risers using a new cluster-based drag model

description: A cluster-based drag model is proposed for the gas–solid circulating fluidized bed (CFB) riser by including the cluster information collected from image processing and wavelet analysis into the calculation of system drag. The performance of the proposed drag model is compared with some commonly used drag models. A good agreement with the experimental data is achieved by the proposed cluster-based drag model. Error analysis of the proposed cluster-based drag model based on the local distributions of solids holdup and particle velocity is conducted. The clustering phenomenon in the low-density and high-density CFB risers and the effect of the cluster size on the simulation accuracy are also numerically studied by the proposed drag model.
description: A cluster-based drag model is proposed for the gas–solid circulating fluidized bed (CFB) riser by including the cluster information collected from image processing and wavelet analysis into the calculation of system drag. The performance of the proposed drag model is compared with some commonly used drag models. A good agreement with the experimental data is achieved by the proposed cluster-based drag model. Error analysis of the proposed cluster-based drag model based on the local distributions of solids holdup and particle velocity is conducted. The clustering phenomenon in the low-density and high-density CFB risers and the effect of the cluster size on the simulation accuracy are also numerically studied by the proposed drag model.
DOI: 10.57760/sciencedb.15040
title: Data from the paper Exploring the effects of social media overload on anxiety
title: Data from the paper Exploring the effects of social media overload on anxiety

description: This study used an online questionnaire survey to obtain relevant data and adopted the partial least squares structural equation model (PLS-SEM) method for data analysis and model construction.
description: This study used an online questionnaire survey to obtain relevant data and adopted the partial least squares structural equation model (PLS-SEM) method for data analysis and model construction.
DOI: 10.57760/sciencedb.partic.00088
title: GPU accelerated MFiX-DEM simulations of granular and multiphase flows
title: GPU accelerated MFiX-DEM simulations of granular and multiphase flows

description: In this research, a Graphical Processing Unit (GPU) accelerated Discrete Element Method (DEM) code was developed and coupled with the Computational Fluid Dynamic (CFD) software MFiX to simulate granular and multiphase flows. The Fortran-based CFD solver was coupled with CUDA/C++ based DEM solver through inter-process pipes. The speedup to CPU is about 130 to 243 folds in the simulation of particle packings. In fluidized bed simulations, the DEM computation time is reduced from 91% to 17% with a speedup of 78 folds. The simulation of Geldart A particle fluidization revealed a similar level of importance of both fluid and particle coarse-graining. The filtered drag derived from the two-fluid model is suitable for Euler-Lagrangian simulations with both fluid and particle coarse-graining. It overcorrects the influence of sub-grid structures if used for simulations with only fluid coarse-graining.
description: In this research, a Graphical Processing Unit (GPU) accelerated Discrete Element Method (DEM) code was developed and coupled with the Computational Fluid Dynamic (CFD) software MFiX to simulate granular and multiphase flows. The Fortran-based CFD solver was coupled with CUDA/C++ based DEM solver through inter-process pipes. The speedup to CPU is about 130 to 243 folds in the simulation of particle packings. In fluidized bed simulations, the DEM computation time is reduced from 91% to 17% with a speedup of 78 folds. The simulation of Geldart A particle fluidization revealed a similar level of importance of both fluid and particle coarse-graining. The filtered drag derived from the two-fluid model is suitable for Euler-Lagrangian simulations with both fluid and particle coarse-graining. It overcorrects the influence of sub-grid structures if used for simulations with only fluid coarse-graining.
DOI: 10.57760/sciencedb.partic.00089
title: Parallelized microfluidic droplet generators with improved ladder–tree distributors for production of monodisperse γ-Al2O3 microspheres
title: Parallelized microfluidic droplet generators with improved ladder–tree distributors for production of monodisperse γ-Al2O3 microspheres

description: In this paper, we present a parallelized microfluidic device with improved ladder–tree distributors for the scaled-up production of monodisperse microspheres. Owing to the improved distribution form comprising a ladder distributor in the center and tree distributors around the circumference, the uniformity of the generated droplets for our device was improved by 32.9% and 86.1% compared to those achieved in devices with conventional tree and ladder distributors, respectively, in the final production stage with 32 droplet generators, indicating the potential of our device for further scale-up while maintaining the monodispersity of the generated droplets. The effect of the 2D scale-up of our device was investigated by varying the continuous-phase flow rate and viscosity. Using our device, γ-Al2O3 microspheres with a diameter of 598.1 μm and a CV of 2.58%, as catalyst support for microreactors, were continuously synthesized at high production rate. The nickel-based catalyst prepared from γ-Al2O3 microspheres with large specific surface area and pore volume had an average NiO size of 14 nm, which was 60.9% of that supported on industrial support. The CO methanation conversion of the Ni@Al2O3 microspheres was 1.7 times larger than Ni@Al2O3 industrial support at 140 °C.
description: In this paper, we present a parallelized microfluidic device with improved ladder–tree distributors for the scaled-up production of monodisperse microspheres. Owing to the improved distribution form comprising a ladder distributor in the center and tree distributors around the circumference, the uniformity of the generated droplets for our device was improved by 32.9% and 86.1% compared to those achieved in devices with conventional tree and ladder distributors, respectively, in the final production stage with 32 droplet generators, indicating the potential of our device for further scale-up while maintaining the monodispersity of the generated droplets. The effect of the 2D scale-up of our device was investigated by varying the continuous-phase flow rate and viscosity. Using our device, γ-Al2O3 microspheres with a diameter of 598.1 μm and a CV of 2.58%, as catalyst support for microreactors, were continuously synthesized at high production rate. The nickel-based catalyst prepared from γ-Al2O3 microspheres with large specific surface area and pore volume had an average NiO size of 14 nm, which was 60.9% of that supported on industrial support. The CO methanation conversion of the Ni@Al2O3 microspheres was 1.7 times larger than Ni@Al2O3 industrial support at 140 °C.
DOI: 10.57760/sciencedb.partic.00090
title: Li-rich layered oxides: Structure, capacity and voltage fading mechanisms and solving strategies
title: Li-rich layered oxides: Structure, capacity and voltage fading mechanisms and solving strategies

description: Lithium rich layered oxides (LLOs) are attractive cathode materials for Li-ion batteries owing to their high capacity (&gt; 250 mA h g–1) and suitable voltage (~3.6 V). However, they suffer from serious voltage and capacity fading, which is focused in this review. First, an overview of crystal structure, band structure and electrochemical performances of LLOs is provided. After that, current understanding on oxygen loss, capacity fading and voltage fading is summarized. Finally, five strategies to mitigate capacity and voltage fading are reviewed. It is believed that these understandings can help solve the fading problems of LLOs.
description: Lithium rich layered oxides (LLOs) are attractive cathode materials for Li-ion batteries owing to their high capacity (&gt; 250 mA h g–1) and suitable voltage (~3.6 V). However, they suffer from serious voltage and capacity fading, which is focused in this review. First, an overview of crystal structure, band structure and electrochemical performances of LLOs is provided. After that, current understanding on oxygen loss, capacity fading and voltage fading is summarized. Finally, five strategies to mitigate capacity and voltage fading are reviewed. It is believed that these understandings can help solve the fading problems of LLOs.
DOI: 10.57760/sciencedb.partic.00091
title: Statistical morphological identification of low-dimensional nanomaterials by using TEM
title: Statistical morphological identification of low-dimensional nanomaterials by using TEM

description: Nanomaterials with low-dimensional morphology display unique properties in catalysis and related fields, which are highly dependent on the structure and aspect ratio. Thus, accurate identification of the structure and morphology is the basis to correlate to the performance. However, the widely adopted techniques such as XRD is incapable to precise identify the aspect ratio of low-dimensional nanomaterials, not even to quantify the morphological uniformity with statistical deviation value. Herein, ZnO nanorod and nanosheet featured with one- and two-dimensional morphology were selected as model materials, which were prepared by the hydrothermal method and statistically characterized by transmission electron microscopy (TEM). The results indicate that ZnO nanorods and nanosheets display rod-like and orthohexagnal morphology, which mainly encapsulated with {100} and {001} planes, respectively. The 7.36 ± 0.20 and 0.39 ± 0.02 aspect ratio (c/a) of ZnO nanorods and nanosheets could be obtained through the integration of the (100) and (002) diffraction rings in selected area electron diffraction (SAED). TEM combining with the SAED is favorable compare with XRD, which not only provides more accurate aspect ratio results with standard deviation values but also requires very small amounts of sample. This work is supposed to provide a convenient and accurate method for the characterization of nanomaterials with low-dimensional morphology through TEM. 
description: Nanomaterials with low-dimensional morphology display unique properties in catalysis and related fields, which are highly dependent on the structure and aspect ratio. Thus, accurate identification of the structure and morphology is the basis to correlate to the performance. However, the widely adopted techniques such as XRD is incapable to precise identify the aspect ratio of low-dimensional nanomaterials, not even to quantify the morphological uniformity with statistical deviation value. Herein, ZnO nanorod and nanosheet featured with one- and two-dimensional morphology were selected as model materials, which were prepared by the hydrothermal method and statistically characterized by transmission electron microscopy (TEM). The results indicate that ZnO nanorods and nanosheets display rod-like and orthohexagnal morphology, which mainly encapsulated with {100} and {001} planes, respectively. The 7.36 ± 0.20 and 0.39 ± 0.02 aspect ratio (c/a) of ZnO nanorods and nanosheets could be obtained through the integration of the (100) and (002) diffraction rings in selected area electron diffraction (SAED). TEM combining with the SAED is favorable compare with XRD, which not only provides more accurate aspect ratio results with standard deviation values but also requires very small amounts of sample. This work is supposed to provide a convenient and accurate method for the characterization of nanomaterials with low-dimensional morphology through TEM.