Bibliographies thématiques / Soft microcapsules

Littérature scientifique sur le sujet « Soft microcapsules »

Auteur : Grafiati

Publié le 10 mars 2023

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Articles de revues sur le sujet "Soft microcapsules"

Bewernitz, Mark A., Archana C. Lovett et Laurie B. Gower. « Liquid–Solid Core-Shell Microcapsules of Calcium Carbonate Coated Emulsions and Liposomes ». Applied Sciences 10, n^o 23 (29 novembre 2020) : 8551. http://dx.doi.org/10.3390/app10238551.

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Micron-sized core-shell particles consisting of a calcium carbonate (CaCO3) mineral shell and a fluidic core were generated using a biomimetic approach, for the purpose of use as biodegradable microcapsules for release of active agents. Dinoflagellate cysts, unicellular organisms which deposit a protective hard mineral shell around their soft and fluidic cellular interior, served as our inspiration. Using the biomimetic polymer-induced liquid-precursor (PILP) mineralization process, calcium carbonate coatings were deposited on charged emulsion droplets and liposomes. Light microscopy, scanning electron microscopy, polarized light microscopy, X-ray diffraction, and confocal fluorescence microscopy were used to demonstrate that smooth CaCO3 mineral coatings can be deposited onto the high curvature surfaces of emulsions and liposomes to yield micron-sized microcapsules for the effective entrapment of both hydrophobic and hydrophilic active agents. These biodegradable and biocompatible CaCO3 microcapsules are novel systems for producing a powdered form of fluid-containing capsules for storage and transport of pharma/chemical agents. They may be used in lieu of, or in conjunction with, existing microcapsule delivery approaches, as well as providing a convenient foundation for which polymeric coatings could be further applied, allowing for more complex targeting and/or chemical-release control.

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Song, Jie, Firoozeh Babayekhorasani et Patrick T. Spicer. « Soft Bacterial Cellulose Microcapsules with Adaptable Shapes ». Biomacromolecules 20, n^o 12 (29 octobre 2019) : 4437–46. http://dx.doi.org/10.1021/acs.biomac.9b01143.

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Kim, Dong-Min, In-Ho Song, Ju-Young Choi, Seung-Won Jin, Kyeong-Nam Nam et Chan-Moon Chung. « Self-Healing Coatings Based on Linseed-Oil-Loaded Microcapsules for Protection of Cementitious Materials ». Coatings 8, n^o 11 (15 novembre 2018) : 404. http://dx.doi.org/10.3390/coatings8110404.

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Linseed oil undergoes an oxidative drying reaction upon exposure to air, resulting in a soft film. The reaction conversion after 48 h reached 88% and 59% when it reacted at room temperature and −20 °C, respectively. Linseed-oil-loaded microcapsules were prepared using a urea-formaldehyde polymer as the shell wall material. The microcapsules were integrated into a commercially available protective coating formulation to prepare self-healing coating formulations with different capsule loadings. The coating formulations were applied on mortar specimens to prepare self-healing coatings. The effect of capsule loading on adhesion strength of the self-healing coating was studied. The self-healing function of the coating was investigated by SEM, a water sorptivity test and an accelerated carbonation test. Successful self-healing was demonstrated for both scratch and crack damage in the coatings. Low-temperature self-healing was demonstrated with a saline solution sorptivity test conducted at −20 °C. The linseed-oil-based microcapsule-type self-healing coating system is a promising candidate as a protective coating for cementitious materials.

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Kudasova, Darikha, Botagoz Mutaliyeva, Kristina Vlahoviček-Kahlina, Slaven Jurić, Marijan Marijan, Svetlana V. Khalus, Alexander V. Prosyanik, Suzana Šegota, Nikola Španić et Marko Vinceković. « Encapsulation of Synthesized Plant Growth Regulator Based on Copper(II) Complex in Chitosan/Alginate Microcapsules ». International Journal of Molecular Sciences 22, n^o 5 (6 mars 2021) : 2663. http://dx.doi.org/10.3390/ijms22052663.

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A new copper complex, trans-diaqua-trans-bis [1-hydroxy-1,2-di (methoxycarbonyl) ethenato] copper (abbreviation Cu(II) complex), was synthesized and its plant growth regulation properties were investigated. The results show a sharp dependence of growth regulation activity of the Cu(II) complex on the type of culture and its concentration. New plant growth regulator accelerated the development of the corn root system (the increase in both length and weight) but showed a smaller effect on the development of the wheat and barley root systems. Stimulation of corn growth decreased with increasing Cu(II) complex concentration from 0.0001% to 0.01% (inhibition at high concentrations—0.01%). The development of corn stems was also accelerated but to a lesser extent. Chitosan-coated calcium alginate microcapsules suitable for delivery of Cu(II) complex to plants were prepared and characterized. Analysis of the FTIR spectrum showed that complex molecular interactions between functional groups of microcapsule constituents include mainly electrostatic interactions and hydrogen bonds. Microcapsules surface exhibits a soft granular surface structure with substructures consisting of abundant smaller particles with reduced surface roughness. Release profile analysis showed Fickian diffusion is the rate-controlling mechanism of Cu(II) complex releasing. The obtained results give new insights into the complexity of the interaction between the Cu(II) complex and microcapsule formulation constituents, which can be of great help in accelerating product development for the application in agriculture

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de Loubens, C., J. Deschamps, F. Edwards-Levy et M. Leonetti. « Tank-treading of microcapsules in shear flow ». Journal of Fluid Mechanics 789 (26 janvier 2016) : 750–67. http://dx.doi.org/10.1017/jfm.2015.758.

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We investigated experimentally the deformation of soft microcapsules and the dynamics of their membrane in simple shear flows. Firstly, the tank-treading motion, i.e. the rotation of the membrane, was visualized and quantified by tracking particles included in the membrane by a new protocol. The period of membrane rotation increased quadratically with the extension of the long axis. The tracking of the distance between two close microparticles showed membrane contraction at the tips and stretching on the sides, a specific property of soft particles such as capsules. The present experimental results are discussed in regard to previous numerical simulations. This analysis showed that the variation of the tank-treading period with the Taylor parameter (deformation) cannot be explained by purely elastic membrane models. It suggests a strong effect of membrane viscosity whose order of magnitude is determined. Secondly, two distinct shapes of sheared microcapsules were observed. For moderate deformations, the shape was a steady ellipsoid in the shear plane. For larger deformations, the capsule became asymmetric and presented an S-like shape. When the viscous shear stress increased by three orders of magnitude, the short axis decreased by 70 % whereas the long axis increased by 100 % before any break-up. The inclination angle decreased from 40° to 8°, almost aligned with the flow direction as expected by theory and numerics on capsules and from experiments, theory and numerics on drops and vesicles. Whatever the microcapsule size and the concentration of proteins, the characteristic lengths of the shape, the Taylor parameter and the inclination angle satisfy master curves versus the long axis or the normalized shear stress or the capillary number in agreement with theory for non-negligible membrane viscosity in the regime of moderate deformations. Finally, we observed that very small deviation from sphericity gave rise to swinging motion, i.e. shape oscillations, in the small-deformation regime. In conclusion, this study of tank-treading motion supports the role of membrane viscosity on the dynamics of microcapsules in shear flow by independent methods that compare experimental data both with numerical results in the regime of large deformations and with theory in the regime of moderate deformations.

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Tzvetkov, G., B. Graf, R. Wiegner, J. Raabe, C. Quitmann et R. Fink. « Soft X-ray spectromicroscopy of phase-change microcapsules ». Micron 39, n^o 3 (avril 2008) : 275–79. http://dx.doi.org/10.1016/j.micron.2007.04.002.

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Toprakcioglu, Zenon, Tuuli A. Hakala, Aviad Levin, Christian F. W. Becker, Gonçalo J. L. Bernandes et Tuomas P. J. Knowles. « Correction : Multi-scale microporous silica microcapsules from gas-in water-in oil emulsions ». Soft Matter 16, n^o 14 (2020) : 3586. http://dx.doi.org/10.1039/d0sm90059a.

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Kaufman, Gilad, Siamak Nejati, Raphael Sarfati, Rostislav Boltyanskiy, Michael Loewenberg, Eric R. Dufresne et Chinedum O. Osuji. « Soft microcapsules with highly plastic shells formed by interfacial polyelectrolyte–nanoparticle complexation ». Soft Matter 11, n^o 38 (2015) : 7478–82. http://dx.doi.org/10.1039/c5sm00973a.

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We present a single-step microfluidic approach to fabricate soft microcapsules with nanoparticle–polyelectrolyte and protein–polyelectrolyte shells, and show control of mechanical and release properties.

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Hitchcock, Adam P., Harald D. H. Stöver, Lisa M. Croll et Ronald F. Childs. « Chemical Mapping of Polymer Microstructure Using Soft X-ray Spectromicroscopy ». Australian Journal of Chemistry 58, n^o 6 (2005) : 423. http://dx.doi.org/10.1071/ch05054.

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Recently, synchrotron-based soft X-ray spectromicroscopy techniques have been applied to studies of polymer microstructure at the ~50 nm spatial scale. Functional group based chemical speciation and quantitative mapping is provided by near edge X-ray absorption fine structure spectral (NEXAFS) contrast. The techniques, sample data, and analysis methods of scanning transmission X-ray microscopy (STXM) and X-ray photoemission electron microscopy (X-PEEM) are outlined. The capabilities of STXM are illustrated by results from recent studies of (a) controlled release microcapsules and microspheres, (b) microcapsules being developed for gene therapy applications, (c) conducting polymer films studied in the presence of electrolyte and under potential control, and (d) studies of protein interactions with patterned polymer surfaces. In the latter area, the capabilities of STXM and X-PEEM are compared directly.

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Lin, Tao, Zhen Wang, Wen Wang et Yi Sui. « Correction : A neural network-based algorithm for high-throughput characterisation of viscoelastic properties of flowing microcapsules ». Soft Matter 17, n^o 15 (2021) : 4213. http://dx.doi.org/10.1039/d1sm90049h.

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Correction for ‘A neural network-based algorithm for high-throughput characterisation of viscoelastic properties of flowing microcapsules’ by Tao Lin et al., Soft Matter, 2021, DOI: 10.1039/d0sm02121k.

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Thèses sur le sujet "Soft microcapsules"

Adeyemi, Adefemi Habib. « Microfluidic Devices for the Characterization and Manipulation of Encapsulated Cells in Agarose Microcapsules Using Dielectrophoresis and Electrophoresis ». Thesis, Université d'Ottawa / University of Ottawa, 2018. http://hdl.handle.net/10393/37102.

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Cell encapsulation is a promising concept in regenerative medicine and stem cell treatment of diseases. Cells encapsulated in hydrogels have shown to yield better therapeutic outcome over cells in suspension. Microfluidic platforms have facilitated the process of cell encapsulation through the controlled mixing of aqueous cell solution and hydrogel with an immiscible liquid to yield a monodispersed population of microcapsules at a high throughput. However, given that the microfluidic process of placing cells in microcapsules is completely random, yielded samples are often riddled with empty microcapsules, raising the need for a post-encapsulation purification step to sort empty microcapsules from cell-laden ones. Sorting of microcapsules can be achieved through several techniques, most desirable of which are electrokinetic such as dielectrophoresis (DEP) and electrophoresis (EP). The advantages of DEP and EP techniques are that they support label-free sorting and yield a high throughput. However to achieve true effective DEP or EP sorting, there is a need to understand how empty microcapsules react to these electrokinetic forces versus occupied microcapsules. This study developed microfluidic devices for characterising the electrokinetic effects on microcapsules using DEP and EP. Results of both characterization techniques showed notable differences in the response of empty microcapsules versus cell-laden ones, reinforcing their potentials for sorting. Furthermore, this study proposed designs for microcapsules sorting devices that leverage EP and DEP.

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Corrons, Xavier Castellvi. « Self-assembled microcapsules : understanding and controlling the release of payloads ». Doctoral thesis, 2022. http://hdl.handle.net/2158/1277190.

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The goal of this thesis, funded by the European Union’s Horizon 2020 research and innovation programme under the SAMCAPS project (grant agreement no. 814100), is to address the current need for bio-degradable materials and efficient encapsulating agents for home and beauty care products. To this aim, this work focuses on the liquid-liquid phase separation (LLPS) of an amphiphilic thermoresponsive copolymer that leads to the formation of micron-sized domains, known as simple coacervates, at room temperature and in surfactant-rich media, where control of liquid-liquid phase separation is particularly challenging. Additionally, these microstructures can entrap hydrophobic active principles from the medium and release them in a triggered way, rendering them as suitable encapsulating agents.

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Chapitres de livres sur le sujet "Soft microcapsules"

Chao, Wang, Xu Mei, Zhang Wei-hua, Zhu Yu-peng, Gong Yuan-yuan et Li Dong-sheng. « Study on Preparation of KGM-Based Microcapsule ». Dans Advances in Intelligent and Soft Computing, 329–34. Berlin, Heidelberg : Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27957-7_40.

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Cao, B., C. Litina, L. Souza et A. Al-Tabbaa. « Microcapsule-based self-healing cement stabilised clay ». Dans Geotechnical Aspects of Underground Construction in Soft Ground. 2nd Edition, 755–60. 2^e éd. London : CRC Press, 2022. http://dx.doi.org/10.1201/9781003355595-99.

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« Colloids and Microcapsules ». Dans Scanning Probe Microscopy of Soft Matter, 459–91. Weinheim, Germany : Wiley-VCH Verlag GmbH & Co. KGaA, 2011. http://dx.doi.org/10.1002/9783527639953.ch15.

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Cao, B., C. Litina, L. Souza et A. Al-Tabbaa. « Microcapsule-based self-healing cement stabilised clay ». Dans Geotechnical Aspects of Underground Construction in Soft Ground, 755–60. CRC Press, 2021. http://dx.doi.org/10.1201/9780429321559-99.

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Actes de conférences sur le sujet "Soft microcapsules"

Hu, Han, et Connor Heo. « Integration of Data Science Into Thermal-Fluids Engineering Education ». Dans ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-88193.

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Abstract To improve the integration of data science into thermal fluids education, a technical elective course is developed to introduce a wide range of machine learning and deep learning algorithms to engineering students, including principal component analysis, multiplayer perceptron, convolutional neural networks (CNN), long short-term memory (LSTM) networks, reinforcement learning (RL), generative algorithms (GA), and generative adversarial networks for mechanical engineering applications, including visualization-based physical quantity predictions, dynamic signal classification, and prediction, data-driven control of dynamical systems, surrogate modeling, dimensionality reduction, among others. The lectures cover the fundamental concepts and examples of developing machine learning models using Python and MATLAB. To facilitate students’ practice of applying data science in solving mechanical engineering progress, this course has touchpoints in several key areas of mechanical engineering, including fluid mechanics, heat transfer, materials science, design, and dynamics/control. Twenty-five students, including seven undergraduate and eighteen graduate students, took the course and the outcomes are very fruitful and encouraging. A variety of data science algorithms have been leveraged to solve mechanical engineering research problems, including generative designs of air-cooled heat sinks, Gaussian process regression for battery lifetime prediction and femtosecond laser manufacturing parameters, GA for two-phase cooling heat exchanger design, coupled PCA and LSTM for microcapsule deformation prediction, CNN for boiling regime classification and laser-manufactured textures classification, bidirectional recurrent neural networks basecalling of DNA and RNA sequences, coupled PCA and MLP porous medium morphology classification, RL for the control of soft robotics. The course has so far led to 25 student-centered machine learning projects, two conference papers, and an Honors thesis.

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