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Strong and Flexible TEMPO-CNF/Boron Nitride Nanocomposite Films / Starka och flexibla nanokompositfilmer av TEMPO-CNF/boronnitridSadatifard, Sara January 2023 (has links)
Nanokompositfilmer med fem olika sammansättningar av hexagonala bornitrid nanosheet och TEMPO-CNF tillverkades med hjälp av vakuumassisterad filtreringsteknik. sond-ultraljudsteknik användes som en grön väg för exfoliering av bornitridpulver i vattenhaltigt medium. TEMPO-CNF spelade nyckelroller som både matris och dispergeringsmedel för stabilisering av bornitrid nanosheets i kompositen. Nanokompositfilmerna var flexibla och formbara och de visade höga mekaniska egenskaper inklusive hög draghållfasthet och god brottöjning. / Nanocomposite films with five different compositions of hexagonal boron nitride nanosheets and TEMPO-CNF were fabricated using vacuum-assisted filtration technique. probe-ultrasonication technique was applied as a green route for exfoliation of boron nitride powder in aqueous medium. TEMPO-CNF played key roles as both matrix and dispersant agent for stabilization of the boron nitride nanosheets in the composite. The nanocomposite films were flexible and ductile, and they showed high mechanical properties including high tensile strength and good elongation at break.
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Design and fabrication of cellulose nanofibril (CNF) based microcapsules and their applicationsMubarak, Shuaib Ahmed 13 August 2024 (has links) (PDF)
Emulsions, comprising dispersed oil or water droplets stabilized by surfactants, are widely employed across industries. However, conventional surfactants raise environmental concerns, and emulsions may encounter stability challenges during storage. A promising alternative lies in Pickering emulsions, where particles adhere irreversibly at the water-oil interface, providing enhanced stability. Recent research explores the use of natural bio-based particles as interfacial stabilizers for creating Pickering emulsions, offering improved stability and environmental friendliness. This significant change towards particle-stabilized emulsions addresses sustainability and efficacy concerns. This dissertation investigates the application of cellulose nanofibrils (CNFs) in stabilizing Pickering emulsions for the development of functional microcapsules with diverse applications. A novel CNF aerogel with a hierarchical pore structure was developed using n-hexane-CNF oil-in-water (O/W) Pickering emulsions as templates. These hollow microcapsule-based CNF (HM-CNF) aerogels demonstrated high oil absorption capacities of 354 grams per gram for chloroform and 166 grams per gram for n-hexadecane, without requiring hydrophobic modifications, highlighting their potential as environmentally sustainable and high-performance oil absorbents. Further, the research explored the microencapsulation of n-hexadecane, an organic phase change material (PCM), within a hybrid shell of CNFs and chitin nanofibers (ChNFs). This method significantly improved the thermal stability of the encapsulated n-hexadecane, with maximum weight loss temperatures increasing from 184 degrees Celsius to 201 degrees Celsius with ChNF loading. The char yield also increased with ChNF content, indicating enhanced thermal degradation resistance. These emulsions demonstrated stability in various ionic solutions and elevated temperatures, showcasing their potential for applications such as thermal energy storage, cosmetics, food, and pharmaceuticals. Additionally, the dissertation examined stable water-in-oil (W/O) inverse Pickering emulsions using TEMPO-treated cellulose nanofibrils (TCNF). These emulsions, stabilized by TCNF-oleylamine complexes, exhibited droplet sizes ranging from 27 micrometers to 8 micrometers depending on TCNF concentration. They maintained stability under varying pH, ionic strength, and temperature conditions and demonstrated the encapsulation of water-soluble components like phytic acid, highlighting their versatility for diverse encapsulation applications. Overall, the research presents significant advancements in the utilization of CNF-stabilized Pickering emulsions, employing them as templates for fabricating aerogels and microcapsules. This approach enhances oil absorption, thermal stability, and encapsulation capabilities, offering eco-friendly solutions for diverse applications.
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Microfibrillated cellulose: Energy-efficient preparation techniques and applications in paperAnkerfors, Mikael January 2015 (has links)
This work describes three alternative processes for producing microfibrillated cellulose (MFC; also referred to as cellulose nanofibrils, CNF) in which bleached pulp fibres are first pretreated and then homogenized using a high-pressure homogenizer. In one process, fibre cell wall delamination was facilitated by a combined enzymatic and mechanical pretreatment. In the two other processes, cell wall delamination was facilitated by pretreatments that introduced anionically charged groups into the fibre wall, by means of either a carboxymethylation reaction or irreversibly attaching carboxymethylcellulose (CMC) to the fibres. All three processes are industrially feasible and enable energy-efficient production of MFC. Using these processes, MFC can be produced with an energy consumption of 500–2300 kWh/tonne. These materials have been characterized in various ways and it has been demonstrated that the produced MFCs are approximately 5–30 nm wide and up to several microns long. The MFCs were also evaluated in a number of applications in paper. The carboxymethylated MFC was used to prepare strong free-standing barrier films and to coat wood-containing papers to improve the surface strength and reduce the linting propensity of the papers. MFC, produced with an enzymatic pretreatment, was also produced at pilot scale and was studied in a pilot-scale paper making trial as a strength agent added at the wet-end for highly filled papers. / <p>QC 20150126</p>
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Extraction de nanofibrilles de cellulose à structure et propriétés contrôlées : caractérisation, propriétés rhéologiques et application nanocomposites / Extraction of cellulose nanofibrils with structure and controlled properties : characterization, rheologic properties and nanocomposites applicationBen Hamou, Karima 24 October 2015 (has links)
Les nanofibrilles de cellulose (NFC), obtenus par oxydation TEMPO des microfibrilles de cellulose native sous forme de suspensions colloïdales aqueuses, sont des nanoparticules biosourcées ayant des propriétés rhéologiques et optiques particulièrement séduisantes pour la conception de nanomatériaux à haute performance. Le but principal de cette étude était de contrôler et optimiser les conditions de préparation de ces NFCs extraites du rachis de palmier dattier en examinant le temps d'oxydation et le nombre de passe à travers l'homogéinsateur.La réussite de la réaction a été démontrée par spectroscopies FT-IR. Le taux de groupements carboxyliques a été calculé par dosage conductimétrique et était compris entre 221 et 772 µmol/g d'anhydroglucose. Les études morphologiques montrent que NFCs oxydées sont assez bien individualisés grâce à l'introduction des charges négatives à leur surface qui induisent des forces de répulsion électrostatique entre les fibrilles. Une attention particulière a été accordée à la viscoélasticité des suspensions NFC oxydées TEMPO dont le suivi a été réalisé par un rhéomètre ARES-G2TA. Ces nanocharges ont ensuite été incorporées au sein d'un thermoplastique (PVAc), puis les matériaux nanocomposites obtenus ont été caractérisés par MEB, ATG, DSC, DMA et par des tests mécaniques. / The cellulose nanofibrils (CNF), obtained by TEMPO oxidation of native cellulose microfibrils as colloidal aqueous suspensions, are biosourced nanoparticles having rheological and optical properties well adapted for the conception of new nanomaterials with high performance.The main purpose of this study was to control and optimize the conditions for preparing these NFCs extracted from date palm tree by examining the oxidation time and the number of passes through the homogenizer..The success of the reaction was demonstrated by FT-IR spectroscopy. The rate of the carboxylic groups has been calculated by conductometric titration and ranged between 221 and 772 mol / g of anhydroglucose. Morphological studies show that oxidized CNFs are very individualized by introducing negative charges on their surfaces that induce electrostatic repulsion forces between the fibrils. Particular attention has been given to the viscoelasticity of oxidized-TEMPO CNF suspensions whose monitoring was carried out by a rheometer ARES-G2TA. These nanocharges were incorporated in a thermoplastic (PVAc) and nanocomposite materials obtained were characterized by SEM, TGA, DSC, DMA and mechanical testing.
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Toward nanofiltration membranes with layer-by-layer assembled and nano-reinforced separation layers / Vers des membranes de nanofiltration avec des couches de separation nano-renforcées et assemblées couche-par-coucheLin, Xiaofeng 17 June 2016 (has links)
Ce travail de thèse a été consacré à l'élaboration d'un nouveau type de membranes de nanofiltration efficaces avec des propriétés améliorées (flux élevé et rétention élevée, et de bonnes propriétés mécaniques) en déposant un revêtement assemblé couche-par-couche (LbL) sur des supports poreux. Après avoir systématiquement étudié le mécanisme de croissance des films assemblés couche par couche des polyélectrolytes choisis et la relation entre les structures de ces films et les performances des membranes résultant, nous avons identifié avec succès les meilleures structures multicouches pour la construction de membranes de nanofiltration de référence avec des performances optimales. En outre, en prenant avantage de la technique LbL, nous avons introduit une couche de diffusion latérale assemblée soit de nanofibrilles de cellulose ou de nanotubes de carbone, qui permet d’augmenter le flux de 30% tout en conservant la même rétention par rapport à la membrane de référence. En plus, les films assemblés à base de chitosan et nanofibrils de cellulose ont montré une forte résistance à la traction allant jusqu’à 450 MPa et un module d’Young jusqu’à 50 GPa. / This thesis work was devoted to the development of a novel and efficient nanofiltration membrane with improved properties (high flux and high retention, good mechanical strength) by coating Layer-by-Layer (LbL) assembled films onto porous membrane support. After having systematically studied the growth mechanism of LbL-assembled films of chosen polyelectrolytes and the relationship between the structures of these films and the membrane performance of the resulting NF membranes, we successfully identified the best multilayer structures for constructing nanofiltration membranes (NF) of reference with optimal membrane performance. Furthermore, taking advantages of the LbL-assembly, we successfully introduced LbL-assembled lateral diffusion layer that is made of either cellulose nanofibrils or carbon nanotubes, which in turn led to membranes with 30% higher flux. In addition, the LbL-assembled films of chitosan and cellulose nanofibrils showed surprisingly strong tensile strength of up to 450 MPa and a high Young modulus of up to 50 GPa.
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Cellulose nanofibril-based Layer-by-Layer system for immuno-capture of circulating tumor cells in microfluidic devicesLahchaichi, Ekeram January 2021 (has links)
År 2020 listade Världshälsoorganisationen (WHO) cancer som den globalt ledande dödsorsaken med över 10 miljoner dödsfall årligen. Av dessa 10 miljoner fall förekommer nästan 70% i låg- till medelinkomstländer - en siffra som på grund av den låga prioriteringen av cancerbehandling- och diagnostik förväntas öka till 85% redan år 2030. Att utveckla enkla, specifika och prisvärda verktyg för diagnostik kommer därför att bli avgörande för förebyggandet av cancer på en global nivå. För att komma ett steg närmare denna utveckling optimerades och testades i denna studie ett mikrofluidiskt system, utvecklat genom layer-bylayer- metoden, baserat på cellulosa nanofibriller med förmågan att isolera och fånga cirkulerande tumörceller. För att uppnå en termodynamisk jämvikt optimerades systemets hydrodynamiska parametrar optimerades för att uppnå en homogen fördelning med hög densitet av det cellulosa-baserade systemet i det mikrofluidiska chippet. Då jämvikt är grundläggande för att maximera det efterföljande beläggningen av antikroppar, och därmed hur effektivt celler isoleras, modifierades parametrar såsom koncentration, flödeshastighet, inkubationstid med fler tills att önskad effekt uppnåtts. Således koncepttestades systemet genom att fånga celler spetsade i blod och därmed demonstrera att systemet kan användas i syfte att isolera cancerceller från blodprov. Detta öppnar upp för utveckling av liknande diagnostiska verktyg som kan användas för att isolera lågfrekventa celler direkt från blod. / In 2020, the World Health Organization (WHO) listed cancer as the leading cause of death worldwide, reaching a staggering number of 10 million cancer-related deaths annually. Of these 10 million deaths, nearly 70% occurred in low- and middle-income countries; a number that is expected to increase to 85% by 2030 due to the lack of resources as well as low priority of the development of cancer treatment and diagnosis. Hence, the development of a sophisticated, specific and affordable diagnostic tool will be crucial for global cancer prevention and control. In this study, a cellulose nanofibril-based Layer-by-Layer system for immuno-capture of tumour cells in a microfluidic device was optimized and tested for the development of a simple and cost-effective diagnostic tool for use in resource-limited areas. In the pursuit of a thermodynamic equilibrium, the hydrodynamic parameters of the system were optimized to achieve a homogeneous distribution with a high surface density of the cellulose-based system across the microfluidic channels. Since an equilibrated system is essential to maximize the antibody coating, and thereby cell capture efficiency, parameters including but not limited to concentration, flow rate and incubation time were altered until a desired effect had been achieved. Thus, as proof-of-concept, the system was tested by capturing cancer cells spiked into whole blood, thereby demonstrating that the system can be utilized for the purpose of isolating cancer cells from blood samples. This paves the way for the development of similar clinical diagnostic tools for the isolation of rare cells directly from whole blood.
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Physics-Informed Neural Networks and Machine Learning Algorithms for Sustainability Advancements in Power Systems ComponentsBragone, Federica January 2023 (has links)
A power system consists of several critical components necessary for providing electricity from the producers to the consumers. Monitoring the lifetime of power system components becomes vital since they are subjected to electrical currents and high temperatures, which affect their ageing. Estimating the component's ageing rate close to the end of its lifetime is the motivation behind our project. Knowing the ageing rate and life expectancy, we can possibly better utilize and re-utilize existing power components and their parts. In return, we could achieve better material utilization, reduce costs, and improve sustainability designs, contributing to the circular industry development of power system components. Monitoring the thermal distribution and the degradation of the insulation materials informs the estimation of the components' health state. Moreover, further study of the employed paper material of their insulation system can lead to a deeper understanding of its thermal characterization and a possible consequent improvement. Our study aims to create a model that couples the physical equations that govern the deterioration of the insulation systems of power components with modern machine learning algorithms. As the data is limited and complex in the field of components' ageing, Physics-Informed Neural Networks (PINNs) can help to overcome the problem. PINNs exploit the prior knowledge stored in partial differential equations (PDEs) or ordinary differential equations (ODEs) modelling the involved systems. This prior knowledge becomes a regularization agent, constraining the space of available solutions and consequently reducing the training data needed. This thesis is divided into two parts: the first focuses on the insulation system of power transformers, and the second is an exploration of the paper material concentrating on cellulose nanofibrils (CNFs) classification. The first part includes modelling the thermal distribution and the degradation of the cellulose inside the power transformer. The deterioration of one of the two systems can lead to severe consequences for the other. Both abilities of PINNs to approximate the solution of the equations and to find the parameters that best describe the data are explored. The second part could be conceived as a standalone; however, it leads to a further understanding of the paper material. Several CNFs materials and concentrations are presented, and this thesis proposes a basic unsupervised learning using clustering algorithms like k-means and Gaussian Mixture Models (GMMs) for their classification. / Ett kraftsystem består av många kritiska komponenter som är nödvändiga för att leverera el från producenter till konsumenter. Att övervaka livslängden på kraftsystemets komponenter är avgörande eftersom de utsätts för elektriska strömmar och höga temperaturer som påverkar deras åldrande. Att uppskatta komponentens åldringshastighet nära slutet av dess livslängd är motivationen bakom vårt projekt. Genom att känna till åldringshastigheten och den förväntade livslängden kan vi eventuellt utnyttja och återanvända befintliga kraftkomponenter och deras delar bättre. I gengäld kan vi uppnå bättre materialutnyttjande, minska kostnaderna och förbättra hållbarhetsdesignen vilket bidrar till den cirkulära industriutvecklingen av kraftsystemskomponenter. Övervakning av värmefördelningen och nedbrytningen av isoleringsmaterialen indikerar komponenternas hälsotillstånd. Dessutom kan ytterligare studier av pappersmaterial i kraftkomponenternas isoleringssystem leda till en djupare förståelse av dess termiska karaktärisering och en möjlig förbättring. Vår studie syftar till att skapa en modell som kombinerar de fysiska ekvationer som styr försämringen av isoleringssystemen i kraftkomponenter med moderna algoritmer för maskininlärning. Eftersom datan är begränsad och komplex när det gäller komponenters åldrande kan fysikinformerade neurala nätverk (PINNs) hjälpa till att lösa problemet. PINNs utnyttjar den förkunskap som finns lagrad i partiella differentialekvationer (PDE) eller ordinära differentialekvationer (ODE) för att modellera system och använder dessa ekvationer för att begränsa antalet tillgängliga lösningar och därmed minska den mängd träningsdata som behövs. Denna avhandling är uppdelad i två delar: den första fokuserar på krafttransformatorers isoleringssystem, och den andra är en undersökning av pappersmaterialet som används med fokus på klassificering av cellulosananofibriller (CNF). Den första delen omfattar modellering av värmefördelningen och nedbrytningen av cellulosan inuti krafttransformatorn. En försämring av ett av de två systemen kan leda till allvarliga konsekvenser för det andra. Både PINNs förmåga att approximera lösningen av ekvationerna och att hitta de parametrar som bäst beskriver datan undersöks. Den andra delen skulle kunna ses som en fristående del, men den leder till en utökad förståelse av själva pappersmaterialet. Flera CNF-material och koncentrationer presenteras och denna avhandling föreslår en simpel oövervakad inlärning med klusteralgoritmer som k-means och Gaussian Mixture Models (GMMs) för deras klassificering. / <p>QC 20231010</p>
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Laser Scattering for Fast Characterization of Cellulose Filaments / Laserspridning för Snabb Dimensionskarakterisering av CellulosafilamentKonstantinidou, Alexandra, Holmström, Saga, Hellberg, Susanna January 2022 (has links)
Cellulosananofibriller (CNFs) hör till naturens mest fundamentala byggstenar och förser naturliga material, såsom den yttre cellväggen i trä, med en otrolig styrka och styvhet. Genom att imitera träets arkitektur öppnas möjligheter upp för tillverkning av nya, biobaserade och lättviktiga strukturella material med mekaniska egenskaper som överskrider de för glasfiber, metaller och legeringar. Den ingenjörsmässiga utmaningen ligger i att framgångsrikt lyckas överföra de önskade mekaniska egenskaperna hos CNFs till filament som kan användas i material för dagligt bruk. Vid flödesfokuserad spinning av extraherade CNFs påverkar många parametrar den slutgiltiga funktionaliteten och kvaliteten hos de resulterande filamenten. För att optimera dessa processparametrar är mätning av de spunna filamentens dimensioner ett viktigt moment. Av särskilt intresse är filamentbredden, eftersom den är avgörande för de mekaniska egenskaperna. Karakterisering av filamentbredden är i dagsläget en mycket tidskrävande process där varje filament mäts manuellt i optiskt mikroskop. Det huvudsakliga målet med detta projekt är att effektivisera den nuvarande mätprocessen med avseende på både hastighet och noggrannhet med hjälp av laserspridning. I denna rapport visar vi på minst en halvering av nuvarande mättid vid användandet av en 3D-printad laseruppställning istället för ett optiskt mikroskop vid mätning av filamentbredd. Våra resultat indikerar att mätsäkerheten generellt är högre för lasermetoden jämfört med mikroskopin. Genomsnittliga standardavvikelser för mätvärden på tunnaste bredden från mikroskopi samt de två olika kurvanpassningsmetoderna vid lasermätning rapporteras vara 1.62, 0.85 (Curve fit) respektive 1.59 (Minima matching). Standardavvikelserna för tunnaste bredd korrelerar dock inte direkt mot metodernas noggrannhet eftersom de spunna filamenten uppvisar en stor variation i bredd längs med längden. En närmare jämförelse mellan mätvärden för matchade punkter på ideala och defekta filament demonstrerar att icke-uniforma och defekta filament påverkar mätnoggrannheten för laserspridningen negativt. Sammantaget stödjer våra resultat det faktum att ett tunnare filament resulterar i bättre upplösning och mindre mätfel vid mätning med laserspridning. Våra resultat visar på den stora potentialen för laserspridning som en mer effektiv mätmetod vid karakterisering av cellulosafilamentbredd. / Cellulose nanofibrils (CNFs) are one of nature’s most fundamental building blocks, providing incredible strength and stiffness to natural materials, such as the outer cell wall layer in wood. By mimicking the architecture of wood, possibilities opens up for the fabrication of new, biobased, light-weight structural materials with mechanical properties exceeding that of glassfibers, metals and alloys. However, the engineering challenge lies in successfully managing to translate the desirable mechanical properties of the CNFs into filaments that can be used in everyday life materials. Throughout the process of spinning the extracted CNFs into filaments, many factors and parameters affect the ultimate functionality and performance of the resulting filaments. Measuring the dimensions of the spun filaments is a crucial step in further optimizing process parameters. The width of the filament especially, impacts its mechanical performance. The characterization of the cellulose filament width is currently very time-consuming as each filament is manually measured using optical microscopy. The primary goal of this project is to make the current characterization process more effective, with respect to both accuracy and speed of measurement, by using laser scattering. In this report, we demonstrate a reduction by more than a half in measurement time using a 3D-printed laser scattering setup instead of an optical microscope when measuring filament width. Our results indicate that the certainty in measurement is generally higher for lase rscattering compared to optical microscopy. The mean standard deviations (SD) for the smallest widths estimated with optical microscopy and the two curve fitting methods used for the laser measurements are reported to be 1.62, 0.85 (Curve fit) and 1.59 (Minima matching) respectively. However, standard deviations for the thinnest width does not correlate directly to the accuracy of the methods since the spun filaments show a large variation in width along the length. A closer comparison between measurement values for matched points at ideal and non-uniform filaments demonstrate that the accuracy of the laser measurements are dependent on the uniformity of the filaments, with non-uniform filaments negatively impacting the accuracy. Our overall results supports the fact that a thinner filament gives a better resolution and smaller error when measuring with laser. Our results provide evidence for the great potential of laser scattering as a more efficient method for cellulose filament width determination.
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Emulsion polymerization in the presence of reactive PEG-based hydrophilic chains for the design of latex particles promoting interactions with cellulose derivatives / Polymérisation en émulsion en présence de chaînes polymères hydrophiles réactives à base de PEG pour la conception de particules de latex permettant des interactions avec des dérivés cellulosiquesGriveau, Lucie 07 December 2018 (has links)
Dans cette thèse, des particules de polymère fonctionnalisées en surface avec des groupes poly (éthylène glycol) (PEG) ont été synthétisées pour favoriser leur interaction avec les dérivés cellulosique via liaisons hydrogène intermoléculaires. Deux voies de synthèse ont été proposées pour obtenir ses composites cellulose/latex.La première voie est basée sur l'auto-assemblage induit par polymérisation (PISA) pour former des nanoparticules fonctionnalisées avant leur adsorption sur un substrat cellulosique. La PISA tire profit de la formation de copolymères blocs amphiphiles dans l'eau en combinant la polymérisation en émulsion avec les techniques de polymérisation radicalaire contrôlées (RDRP). Ces dernières sont utilisées pour synthétiser des polymères hydrophiles agissant à la fois comme précurseur pour la polymerization en émulsion d'un monomère hydrophobe, et comme stabilisant des particules de latex obtenues. Deux techniques de RDRP ont été étudiées : les polymérisations RAFT et SET-LRP. Des polymères hydrophiles à base de PEG de faible masse molaire ont été synthétisés en utilisant ses deux techniques qui sont ensuite utilisés pour la polymérisation d'un bloc hydrophobe dans l'eau. Le transfert de l'agent de contrôle au site de la polymérisation était difficile en utilisant la SET-LRP en émulsion, conduisant à la formation de larges particules. En utilisant la RAFT en émulsion, des particules nanométriques ont été obtenues, avec un changement morphologique observé en fonction de la taille du segment hydrophobe, puis adsorbées sur des nanofibrilles de cellulose (CNF).La seconde voie utilise la polymérisation en émulsion classique réalisée en présence de nanocristaux de cellulose (CNC) conduisant à une stabilisation Pickering des particules de polymère. L'interaction cellulose/particule est assurée grâce à l'ajout d’un comonomère à type PEG. Une organisation a été visualisé dans laquelle plusieurs particules de polymère recouvrent chaque CNC / In this thesis, polymer particles surface-functionalized with poly(ethylene glycol) (PEG) groups were synthesized to promote their interaction with cellulose derivatives via intermolecular hydrogen bond. Two synthetic routes were proposed to obtain such cellulose/latex composites.The first route was based on the polymerization-induced self-assembly (PISA) to form functionalized polymer nanoparticles prior to adsorption onto cellulosic substrate. PISA takes advantage of the formation of amphiphilic block copolymers in water by combining emulsion polymerization with reversible-deactivation radical polymerization (RDRP) techniques. The latter were used to synthesize well-controlled hydrophilic polymer chains, acting as both precursor for the emulsion polymerization of a hydrophobic monomer, and stabilizer of the final latex particles. Two RDRP techniques were investigated: reversible addition-fragmentation chain transfer (RAFT), and single electron transfer-living radical polymerization (SET-LRP). Low molar mass PEG-based hydrophilic polymers have been synthesized using both techniques, used for the polymerization of a hydrophobic block in water. The transfer of controlling agent at the locus of the polymerization was challenging for SET-LRP in emulsion conditions leading to surfactant-free large particles. Nanometric latex particles were obtained via RAFT-mediated emulsion polymerization, with morphology change from sphere to fibers observed depending on the size of the hydrophobic segment, which were then able to be adsorbed onto cellulose nanofibrils (CNFs).The second route used conventional emulsion polymerization performed directly in presence of cellulose nanocrystals (CNCs) leading to Pickering-type stabilization of the polymer particles. Cellulose/particle interaction was provided thanks to the addition of PEG-based comonomer. Original organization emerged where CNCs were covered by several polymer particles
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