Graphene oxide–silica hybrid capsules for sustained fragrance release

Ali, Muthana; Meaney, Shane P.; Abedin, M.J.; Holt, P. F.; Majumder, Mainak; Tabor, Rico F.

doi:10.1016/j.jcis.2019.05.061

Cited by 29 publications

(20 citation statements)

References 62 publications

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“…Alternatively, the pressure could be released and the liquid remaining outside analyzed by GC ( Figure 20 The comparison of the proposed capsules with all the existing ones without focus on the goal and application is just an impossible task in the frame of an original paper. Therefore, the ambitious of this paragraph is limited to a comparison with some recent and novel systems [19,20,23,39,40,[52][53][54][55][56][57][58][59][60][61][62][63]] that aims at reducing or avoiding the use of formaldehyde, most of them being core-shell capsules. Also depending on the considered application, either a provoked sudden release of the cargo is aimed at [19,20,[54][55][56][60][61][62] or, on the contrary, a slow and sustained released is preferred or observed as it was the goal herein [39,40,52].…”

Section: Mechanical Propertiesmentioning

confidence: 99%

“…Pickering emulsions that is to say emulsions stabilized by particles are known to be very stable kinetically. In order to improve their tightness or mechanical properties the emulsion surface may be reinforce either by polymers that serve as a mortar [55], by polymerization at the interface [57] or by in-situ synthesis of a silica shell [19,20,54,[60][61][62][63][64][65].…”

Section: Mechanical Propertiesmentioning

confidence: 99%

“…A recent example of colloidosomes is given by ref [63]. Another point that can be mentioned is the fact that most often the encapsulated species is a unique and model molecules used to represent a fragrance [23,[52][53][54]56,60,63].…”

Section: Mechanical Propertiesmentioning

confidence: 99%

See 2 more Smart Citations

Cross-linking of double oil-in-water-in-oil emulsions: A new way for fragrance encapsulation with tunable sustained release

Stasse

Laurichesse

Vandroux

et al. 2020

Colloids and Surfaces A: Physicochemical and Engineering Aspect

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This paper describes a new route to synthesize polymeric capsules with interesting and diverse diffusive and mechanical properties. Such capsules were obtained by free radical cross-linking copolymerization of the intermediate water phase of a double oil-in-water-in-oil (O/W/O) emulsion. Such a strategy allows separating the locus of polymerization from the fragrance-containing compartment. Indeed fragrance molecules are known to be reactive. The encapsulated species, also corresponding to the innermost oil, was a model fragrance composed of more than 10 various molecules usually used in perfumery. In a first step, the double emulsion containing a hydrophilic monomer, either Methacrylamide or Oligo(ethyleneglycol) methacrylate, and a hydrophilic cross-linker, either Tetra(ethyleneglycol) diacrylate or N,N-Methylene-bis-Acrylamide, was formulated. The influence of the cross-linker agent on the feasibility of the double emulsion was examined. Then, in a second part, the polymerization was performed. Four different systems of capsules were developed and compared in terms of diffusive and mechanical properties. We show that changing the monomer /cross-linker couple allowed modulating the capsule properties.

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Section: Mechanical Propertiesmentioning

confidence: 99%

Section: Mechanical Propertiesmentioning

confidence: 99%

See 1 more Smart Citation

Cross-linking of double oil-in-water-in-oil emulsions: A new way for fragrance encapsulation with tunable sustained release

Stasse

Laurichesse

Vandroux

et al. 2020

Colloids and Surfaces A: Physicochemical and Engineering Aspect

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“…However, such precursor strategy is significantly limited by unreliable controllability, inadequate reproducibility, and inefficient release. Current research studies mainly stress on direct physical encapsulation to construct nanoscale profragrances with nanocarriers involving polymers, 8‐16 macromolecules, 17,18 inorganic materials, 19,20 and other functional nanocarriers 21‐25 . With the assistance of these nanocapsules, profragrances behave more temperate scent and prolonged retention effect than free fragrances.…”

Section: Introductionmentioning

confidence: 99%

pH‐activated polymeric profragrances for dual‐controllable perfume release

et al. 2021

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Design of controllable nanoprofragrances is critically challenging in cosmetic and decoration industries. Given that most profragrances based on physical encapsulation always suffer unreliable controllability, undefined loading efficiency, and poor stability, here we have for the first time constructed dual‐controllable profragrance platform based on pH‐activated polymer to achieve the specific pH‐triggered fragrance release, which consists of hydrophilic PEG unit, hydrophobic pH‐activated unit, and pH‐triggered unit, thereby guaranteeing profragrances with delicate controllability, homogeneous nanoparticles, well‐defined loading efficiency, and high stability. Dynamic laser scattering experiments demonstrate that the activated polymers possess excellent pH‐switchable property with high stability. Particularly, time‐dependent headspace release performance of all three profragrances is fitting to First‐Order kinetic model (R2 > 0.99). Finally, the step‐by‐step controllability of the profragrance platform with pH‐activated behavior and subsequently pH‐triggered release is realized both in aqueous solution and on targeted leather surface, which is highly desirable for the long‐lasting scent.

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“…[ 10 ] This enabled us to image the samples regardless of their orientation, thus facilitating quantification of their retardance and slow‐axis orientation at every pixel of the image simultaneously without mechanical rotation of the specimen. This technique generates good contrast for the visualization and quantification of sub‐nanometer level birefringent species such as cell spindles, [ 9 ] chromonic crystals, [ 11 ] nanoparticles, [ 12 ] and colloids, [ 13 ] and has tremendous potential in characterizing 2D materials. Utilizing contrasts in their brightfield and cross‐polarized optical features and processing them through an unsupervised machine learning algorithm, [ 14 ] we report a technique for detecting, classifying, and quantifying the exfoliated‐layered‐materials directly without any additional marker and as material dispersed in a solvent.…”

Section: Introductionmentioning

confidence: 99%

A High Throughput and Unbiased Machine Learning Approach for Classification of Graphene Dispersions

Abedin

Barua²,

Shaibani

et al. 2020

Advanced Science

Self Cite

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Significant research to define and standardize terminologies for describing stacks of atomic layers in bulk graphene materials has been undertaken. Most methods to measure the stacking characteristics are time consuming and are not suited for obtaining information by directly imaging dispersions. Conventional optical microscopy has difficulty in identifying the size and thickness of a few layers of graphene stacks due to their low photon absorption capacity. Utilizing a contrast based on anisotropic refractive index in 2D materials, it is shown that localized thickness-specific information can be captured in birefringence images of graphene dispersions. Coupling pixel-by-pixel information from brightfield and birefringence images and using unsupervised statistical learning algorithms, three unique data clusters representing flakes (unexfoliated), nanoplatelets (partially exfoliated), and 2D sheets (well-exfoliated) species in various laboratory-based and commercial dispersions of graphene and graphene oxide are identified. The high-throughput, multitasking capability of the approach to classify stacking at sub-nanometer to micrometer scale and measure the size, thickness, and concentration of exfoliated-species in generic dispersions of graphene/graphene oxide are demonstrated. The method, at its current stage, requires less than half an hour to quantitatively assess one sample of graphene/graphene oxide dispersion.

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Graphene oxide–silica hybrid capsules for sustained fragrance release

Cited by 29 publications

References 62 publications

Cross-linking of double oil-in-water-in-oil emulsions: A new way for fragrance encapsulation with tunable sustained release

Cross-linking of double oil-in-water-in-oil emulsions: A new way for fragrance encapsulation with tunable sustained release

pH‐activated polymeric profragrances for dual‐controllable perfume release

A High Throughput and Unbiased Machine Learning Approach for Classification of Graphene Dispersions

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