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Zhao D.,Zhejiang University | Zhao D.,Zhejiang Prov Key Laboratory Of Cardio Cerebr Vasc Detection Technology And Med Effectiveness Appraisal | Zhao D.,University College London | Li J.-S.,Zhejiang University | And 4 more authors.
Materials Science and Engineering C

Ganoderma lucidum spores (GLSs), popular functional food in preventive medicine, are susceptible to oxidative and acidic degradation during processing, storage and oral administration, resulting in the loss of sensory and nutritional qualities. The main objective of the study was to encapsulate the GLS in order to fully preserve the bioactivity of the ingredients as well as providing controlled and targeted delivery. Electrospraying was applied to prepare GLS-Alginate (GLS/A) micro beads in the current study. The size of GLS/A beads can be tailored by varying the applied voltage and drying processes. pH responsive release profiles of GLS/A beads were revealed from in vitro study in a simulated gastrointestinal environment: no release of GLS encapsulated beads in the simulated gastric fluid (pH of 1.8) was observed; while a rapid, size dependent release was found in the simulated intestinal solution (pH of 7.5). The release from smaller beads (e.g. 600 μm) was 1.5 times faster than that of larger beads (e.g. 2000 μm). In addition, the GLS release from freeze dried beads was almost 3 times faster than those of air and vacuum dried beads in the first 90 min. The present results illustrate the potential to protect GLS by encapsulation using electrospraying to achieve the controlled release of GLS ingredients. This will pave the way to develop effective GLS products with desirable bioactive components for healthcare applications. © 2016 Elsevier B.V. All rights reserved. Source

Wang L.,Zhejiang University | Wang L.,Zhejiang Prov Key Laboratory Of Cardio Cerebr Vasc Detection Technology And Med Effectiveness Appraisal | Chen H.,Zhejiang University | Chen H.,Zhejiang Prov Key Laboratory Of Cardio Cerebr Vasc Detection Technology And Med Effectiveness Appraisal | And 2 more authors.
Proceedings - 2014 IEEE Workshop on Electronics, Computer and Applications, IWECA 2014

In order to achieve the simultaneous monitoring of multiple physiological signals and finish the real-time storage and transmission of data, this paper presents a multi-parameter physiological signal monitoring system based on Cortex-M3. The system uses high-capacity SD card for data storage and USB for data transmission, which achieves synchronous storage and display. In addition, it reduces the operating frequency to achieve the goal of low power consumption.The experimental results show that the system is characterized by high-capacity, low-power and high accuracy, which meets the user's requirements for physiological signal monitoring. © 2014 IEEE. Source

Wu J.,Zhejiang University | Wu J.,Zhejiang Prov Key Laboratory Of Cardio Cerebr Vasc Detection Technology And Med Effectiveness Appraisal | Wu J.,Key Laboratory for Biomedical Engineering | Xu Y.,Zhejiang University | And 7 more authors.
Computational and Mathematical Methods in Medicine

Quantitative analysis of the dynamic behavior about membrane-bound secretory vesicles has proven to be important in biological research. This paper proposes a novel approach to automatically identify the elusive fusion events between VAMP2-pHluorin labeled GLUT4 storage vesicles (GSVs) and the plasma membrane. The differentiation is implemented to detect the initiation of fusion events by modified forward subtraction of consecutive frames in the TIRFM image sequence. Spatially connected pixels in difference images brighter than a specified adaptive threshold are grouped into a distinct fusion spot. The vesicles are located at the intensity-weighted centroid of their fusion spots. To reveal the true in vivo nature of a fusion event, 2D Gaussian fitting for the fusion spot is used to derive the intensity-weighted centroid and the spot size during the fusion process. The fusion event and its termination can be determined according to the change of spot size. The method is evaluated on real experiment data with ground truth annotated by expert cell biologists. The evaluation results show that it can achieve relatively high accuracy comparing favorably to the manual analysis, yet at a small fraction of time. © 2015 Jian Wu et al. Source

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