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Updated: Jan 20, 2026

Spontaneous Formation and Rearrangement of Artificial Lipid Nanotube Networks as a Bottom-Up Model for Endoplasmic Reticulum
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Spontaneous Formation and Rearrangement of Artificial Lipid Nanotube Networks as a Bottom-Up Model for Endoplasmic Reticulum

Published on: January 22, 2019

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甜菜中安托西亚宁的微封装:通过使用人工神经网络研究降解动力学和建模

Tugca Bilenler Koc1, Ilkay Fırat1, Ihsan Karabulut1

  • 1Department of Food Engineering, Faculty of Engineering, Inonu University, Malatya 44280, Turkey.

ACS omega
|January 19, 2026
PubMed
概括

用马尔托德克斯特林,阿拉伯和类酸盐微封装甜菜系的安托,显著提高了它们的稳定性. 这种先进的配方提供了对降解的优越保护,提高了它们在食品应用中的潜力.

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Spontaneous Formation and Rearrangement of Artificial Lipid Nanotube Networks as a Bottom-Up Model for Endoplasmic Reticulum07:49

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Solid-supported, protein-free, double phospholipid bilayer membranes (DLBM) can be transformed into complex and dynamic lipid nanotube networks and can serve as 2D bottom-up models of the endoplasmic...
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Visualization of Neural and Vascular Networks in a Chicken Embryo03:33

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Source: Delalande, J., et.al. Dual Labeling of Neural Crest Cells and Blood Vessels Within Chicken Embryos Using ChickGFP Neural Tube Grafting and Carbocyanine Dye DiI Injection. J. Vis. Exp. (2015)This video demonstrates the transplantation of a GFP-labeled donor neural tube from a stage-matched transgenic chicken embryo into a recipient embryo at the level of somites one to seven, followed by vascular labeling using a lipophilic fluorescent dye. The combined approach allows for direct...
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The goal of the work presented in this article is to develop technology for automated recognition of food and beverage items from images taken by mobile devices. The technology comprises of two different approaches - the first one performs food image recognition while the second one performs food image...
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