The diameter, membrane thickness, and compression intensity of hollow Ca-alginate capsules were measured at different gelation conditions, such as the reactant concentration, dropping velocity, and gelation time. The optimum operation conditions for preparing capsules were determined at 100 g/L CaCl(2), 10 g/L sodium alginate (Na-alginate), a dropping velocity of 150 droplets/min, and a gelation time of 10 min. Diffusion of some saccharide and amino acid from bulk solution into capsules was investigated, and the diffusion coefficients were calculated by the developed mathematical model. All the tested substances can diffuse easily into the capsules. The combined diffusion coefficients of the capsule D(m) are 92-99% as large as their diffusion coefficients in pure water, while the diffusion coefficients in the capsule membrane D(1) are 60-95% as large as those. By employing polyethylene glycol (PEG) and bovine serum albumin (fraction V) (BSA(V)), the molecular weight cut-off of the capsule was determined. For linear macromolecules, hollow Ca-alginate capsules have a molecular weight cut-off of 4000. No diffusion of BSA(V) into the capsules was observed.
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http://dx.doi.org/10.1002/bit.20144 | DOI Listing |
Anal Methods
November 2017
Agricultural and Biological Engineering Department, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL, USA.
Nitric oxide (NO) is an important signaling molecule that is involved in stress response, homeostasis, host defense, and cell development. In most cells, NO levels are in the femtomolar to micromolar range, with extracellular concentrations being much lower. Thus, real time measurement of spatiotemporal NO dynamics near the surface of living cells/tissues is a major challenge.
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Department of Emergency, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, China.
The brain, as a vital part of central nervous system, receives approximately 25% of body's blood supply, making accurate monitoring of cerebral blood flow essential. While fNIRS is widely used for measuring brain physiology, complex tissue structure affects light intensity, spot size, and detection accuracy. Many studies rely on simulations with limited experimental validation.
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January 2025
School of Engineering, Westlake University, Hangzhou, Zhejiang, China.
The film water, with an exceptional capacity to maintain a premelting, liquid-like state even under subzero conditions, provides a potential dynamic conduit for the movement of water in frozen soils. However, the distinctive structural and dynamic characteristics of film water have not been comprehensively elucidated. In this study, molecular dynamics (MD) simulations were conducted to examine the freezing of a system containing ice, water, silica, and gas.
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January 2025
Research Laboratory of Electronics, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, Massachusetts 02139, United States.
Understanding energy transport in semiconductors is critical for the design of electronic and optoelectronic devices. Semiconductor material properties, such as charge carrier mobility or diffusion length, are commonly measured in bulk crystals and determined using models that describe transport behavior in homogeneous media, where structural boundary effects are minimal. However, most emerging semiconductors exhibit nano- and microscale heterogeneity.
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Ocean Environment Institute, Oceanic Consulting and Trading, Seoul, Republic of Korea.
This study simulated the dispersion of Cs in the North Pacific using a Lagrangian particle model, incorporating basin-wide atmospheric deposition and direct release from the Fukushima accident. Three experiments examined the impact of vertical diffusion and velocity on dispersion behavior. EXP01 and EXP02 assumed zero vertical velocity with different vertical diffusion coefficients (1 × 10 and 2 × 10 m/s, respectively), while EXP03 used a 3-day average vertical velocity and the same diffusion coefficient as EXP01.
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