Department of Chemical and Food Engineering, Universidad de los Andes, Bogotá 111711, Colombia.
Department of Biomedical Engineering, Universidad de los Andes, Bogotá 111711, Colombia.
Int J Mol Sci. 2021 Apr 28;22(9):4615. doi: 10.3390/ijms22094615.
Emulsifiers are gradually evolving from synthetic molecules of petrochemical origin to biomolecules mainly due to health and environmental concerns. Peptides represent a type of biomolecules whose molecular structure is composed of a sequence of amino acids that can be easily tailored to have specific properties. However, the lack of knowledge about emulsifier behavior, structure-performance relationships, and the implementation of different design routes have limited the application of these peptides. Some computational and experimental approaches have tried to close this knowledge gap, but restrictions in understanding the fundamental phenomena and the limited property data availability have made the performance prediction for emulsifier peptides an area of intensive research. This study provides the concepts necessary to understand the emulsifying behavior of peptides. Additionally, a straightforward description is given of how the molecular structure and conditions of the system directly impact the peptides' ability to stabilize emulsion droplets. Moreover, the routes to design and discover novel peptides with interfacial and emulsifying activity are also discussed, along with the strategies to address some of their major pitfalls and challenges. Finally, this contribution reviews methodologies to build and use data sets containing standard properties of emulsifying peptides by looking at successful applications in different fields.
乳化剂正逐渐从石化来源的合成分子演变为主要源于生物的分子,这主要是出于对健康和环境的关注。肽是一种生物分子,其分子结构由氨基酸序列组成,可以很容易地进行定制以具有特定的性质。然而,由于对乳化剂行为、结构-性能关系以及不同设计途径的实施缺乏了解,这些肽的应用受到了限制。一些计算和实验方法试图弥补这一知识差距,但对基本现象的理解限制以及可用的有限属性数据使得对乳化肽的性能预测成为一个密集研究的领域。本研究提供了理解肽乳化行为所需的概念。此外,还简要描述了分子结构和系统条件如何直接影响肽稳定乳液液滴的能力。此外,还讨论了设计和发现具有界面和乳化活性的新型肽的途径,以及解决其主要缺陷和挑战的策略。最后,本综述通过考察在不同领域的成功应用,介绍了构建和使用含有乳化肽标准性质的数据集的方法。