Mathematical modelling of protein diffusion in microcapsules: A comparison with experimental results

Kwok, W. Y.; Kiparissides, Costas; Yuet, Pak K.; Harris, T. J.; Goosen, Mattheus F. A.

doi:10.1002/cjce.5450690144

Cited by 22 publications

(15 citation statements)

References 23 publications

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“…In terms of the Ca‐alginate, Ca 2+ induced chain–chain association to form the junction zones, popularly designated as “egg‐box” like stereo‐structure . Egg‐box structure involved the linkage of carboxyl and hydroxyl groups, with the model in which Ca 2+ interacted with two adjacent G blocks . Significantly, Sr 2+ is a nontoxic divalent ion, which is beneficial to the bone growth and regeneration, corroborating the necessary of the fabrication and characterization on Sr‐alginate hydrogel fibers as the candidate for bone regeneration biomaterials.…”

Section: Introductionmentioning

confidence: 68%

Strontium ion substituted alginate‐based hydrogel fibers and its coordination binding model

Zhang

Wang

Weng

et al. 2019

J of Applied Polymer Sci

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Sr-alginate and Ca-alginate hydrogel fibers were fabricated via microfluidic spinning technology, and various analytical methods were adopted to characterize fibers and disclose the coordination model of Sr 2+ binding with alginate molecule chain. For both fibers, the more crosslinking sites of Sr 2+ with alginate molecule were illustrated in comparison with that of Ca 2+ . The more robust mechanical performance of Sr-alginate fibers than Ca-alginate counterpart was a strong indication of the more strong binding of Sr 2+ with alginate molecular chain. FTIR and electric conductivity disclosed the chelation type of Sr 2+ with alginate macromolecule being similar to that of Ca 2+ , which was core-shell of the analogous "egg-box" structure. Circular dichroism spectroscopy further certified the extra coordination sites for Sr 2+ with alginate molecule than Ca 2+ . Research on the coordination model will be more beneficial to optimizing the physicochemical properties of alginate fibers.

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Section: Introductionmentioning

confidence: 68%

Strontium ion substituted alginate‐based hydrogel fibers and its coordination binding model

Zhang

Wang

Weng

et al. 2019

J of Applied Polymer Sci

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“…For the external gelation fabrication method, the molecular weight cutoff (MWCO) of the membrane has been placed between 60 and 70 kDa (≈3–6 nm) by multiple sources [7,12,20,25,37,47]. It is essential to distinguish pure diffusion from surface erosion, the latter being a combination of hydrodynamic drag and membrane swelling [13,48].…”

Section: Resultsmentioning

confidence: 99%

“…Due to the versatility of applications, diffusivity quantification across alginate bio-membranes of various geometric shapes and sizes differing by nature and extent of cross-linking and coatings has been extensively researched [6,7,8,9,10,11,12,13]. In conjunction, indirect diffusivity estimations using pore size characterization by various scanning probe microscopy (SPM) methods have been documented [14,15,16].…”

Section: Introductionmentioning

confidence: 99%

Fickian-Based Empirical Approach for Diffusivity Determination in Hollow Alginate-Based Microfibers Using 2D Fluorescence Microscopy and Comparison with Theoretical Predictions

Mobed-Miremadi

Djomehri

Keralapura³

et al. 2014

Materials

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Hollow alginate microfibers (od = 1.3 mm, id = 0.9 mm, th = 400 µm, L = 3.5 cm) comprised of 2% (w/v) medium molecular weight alginate cross-linked with 0.9 M CaCl2 were fabricated to model outward diffusion capture by 2D fluorescent microscopy. A two-fold comparison of diffusivity determination based on real-time diffusion of Fluorescein isothiocyanate molecular weight (FITC MW) markers was conducted using a proposed Fickian-based approach in conjunction with a previously established numerical model developed based on spectrophotometric data. Computed empirical/numerical (Dempiricial/Dnumerical) diffusivities characterized by small standard deviations for the 4-, 70- and 500-kDa markers expressed in m2/s are (1.06 × 10−9 ± 1.96 × 10−10)/(2.03 × 10−11), (5.89 × 10−11 ± 2.83 × 10−12)/(4.6 × 10−12) and (4.89 × 10−12 ± 3.94 × 10−13)/(1.27 × 10−12), respectively, with the discrimination between the computation techniques narrowing down as a function of MW. The use of the numerical approach is recommended for fluorescence-based measurements as the standard computational method for effective diffusivity determination until capture rates (minimum 12 fps for the 4-kDa marker) and the use of linear instead of polynomial interpolating functions to model temporal intensity gradients have been proven to minimize the extent of systematic errors associated with the proposed empirical method.

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“…Nevertheless, the release of the active agent from delivery systems can be classified based on other mechanisms, such as, erosion (the product gradually dissolves in membrane shell), diffusion (the oil diffuses out of delivery system), extraction (mechanical forces during chewing or processing enlarge area of oil) and burst (a reservoir system ruptures under influence of mechanical or osmotic forces) [115]. Several diffusion models have been proposed in the literature to describe the release of an active agent from microcapsules [86,[116][117][118][119][120][121][122][123]. Table 5 presents a summary of the model release related to the diffusion of active agents through the polymeric membranes of microcapsules.…”

Section: Microcapsules Morphology and Release Mechanismsmentioning

confidence: 99%

Microencapsulation of essential oils with biodegradable polymeric carriers for cosmetic applications

Martins

Barreiro

Coelho

et al. 2014

Chemical Engineering Journal

287

167

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Microencapsulation provides an important tool for cosmetic and/or pharmaceutical industry, enabling protection and controlled release of several active agents. The encapsulation of essential oils in core-shell or matrix particles has been investigated for various reasons, e.g., protection from oxidative decomposition and evaporation, odor masking or merely to act as support to ensure controlled release. A large number of microencapsulation methods have been developed in order to be adapted to different types of active agents and shell materials, generating particles with a variable range of sizes, shell thicknesses and permeability, providing a tool to modulate the release rate of the active principle. With this work, an overview regarding properties and applications of essential oils and biodegradable polymers in the cosmetic field, focusing the use of polylactide as the base material to encapsulate thyme oil, as well as of microencapsulation processes with a particular emphasis on the coacervation, will be presented.2

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Mathematical modelling of protein diffusion in microcapsules: A comparison with experimental results

Cited by 22 publications

References 23 publications

Strontium ion substituted alginate‐based hydrogel fibers and its coordination binding model

Strontium ion substituted alginate‐based hydrogel fibers and its coordination binding model

Fickian-Based Empirical Approach for Diffusivity Determination in Hollow Alginate-Based Microfibers Using 2D Fluorescence Microscopy and Comparison with Theoretical Predictions

Microencapsulation of essential oils with biodegradable polymeric carriers for cosmetic applications

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