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Updated: Mar 16, 2026

Microfluidic Production of Lysolipid-Containing Temperature-Sensitive Liposomes
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使用基于乙醇和基醇15-S表面活性剂的机器学习来预测和分类脂质体释放和稳定性

Jeong Seon Hwang1, Panalee Pomseethong1, Jin-Chul Kim1

  • 1Department of Biomedical Science & Institute of Bioscience and Biotechnology, Kangwon National University, Chuncheon, 24341, Republic of Korea.

Current pharmaceutical design
|March 15, 2026
PubMed
概括

特尔吉托尔表面活性剂度显著影响脂质体释放比乙醇更多. 机器学习模型可以准确预测药物和化品配方的脂质体稳定性和释放行为.

关键词:
HLB-依赖的脂肪体行为.ML ML 在 ML基于机器学习的预测.基醇-乙醇相互作用建模模型这是分类分类的分类.药物释放行为 药物释放行为脂肪体配方中的脂肪体配方脂质体稳定性的稳定性非线性回归是一种非线性回归.

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Surface Active Agents01:27

Surface Active Agents

Surfactants, named for their behavior at interfaces, positively adsorb at the interfaces of two phases, reducing interfacial tension. Their versatility as emulsifiers, detergents, and foaming agents stems from this ability. Surfactants, often termed amphiphiles, share the property of amphipathy, with molecules having both hydrophilic and hydrophobic portions. The hydrophilic part is called the head, and the hydrophobic part, including an elongated alkyl substituent, forms the tail.Surfactants...
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