Progress in the Biosynthesis of Cosmetic Ingredients through Engineering of Saccharomyces cerevisiae.

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Zhongjuan Di, Yanjun Huo, Guan Wang, Yingping Zhuang
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引用次数: 0

Abstract

Driven by consumer preferences for safety and environmental protection, the global cosmetics industry has an increasing demand for natural and sustainable ingredients. Saccharomyces cerevisiae has emerged as a powerful platform for the biosynthesis of cosmetic ingredients due to its strong metabolic capacity, genetic operability, and cost-effective production capabilities. This review focuses on the latest advances in S. cerevisiae for the production of high-value cosmetic compounds, including antioxidants, repair agents, moisturizers, and structure-maintaining ingredients. Key strategies, such as genetic and metabolic engineering, pathway modularity, and fermentation optimization, are discussed, demonstrating significant improvements in yield and efficiency. In addition, the integration of artificial intelligence and machine learning in strain design and process control is explored, providing promising solutions to overcome metabolic bottlenecks and scale up production. Despite challenges such as metabolic burden, S. cerevisiae shows great potential for sustainable and scalable biosynthesis of cosmetic ingredients, paving the way for the next generation of biobased cosmetics. This comprehensive review provides valuable insights and technical references for the development of the field of synthetic biology in the cosmetics industry.

酿酒酵母工程生物合成化妆品原料的研究进展。
由于消费者对安全和环保的偏好,全球化妆品行业对天然和可持续成分的需求日益增加。酿酒酵母凭借其强大的代谢能力、遗传可操作性和高性价比的生产能力,成为化妆品原料生物合成的有力平台。本文综述了酿酒葡萄球菌在抗氧化剂、修复剂、保湿剂和结构维持成分等高价值化妆品化合物生产中的最新进展。关键策略,如遗传和代谢工程,途径模块化和发酵优化,讨论了显着提高产量和效率。此外,还探索了人工智能和机器学习在菌株设计和过程控制中的集成,为克服代谢瓶颈和扩大生产规模提供了有希望的解决方案。尽管存在代谢负担等挑战,酿酒酵母在化妆品成分的可持续和可扩展的生物合成方面显示出巨大的潜力,为下一代生物基化妆品铺平了道路。本文对合成生物学在化妆品领域的发展提供了有价值的见解和技术参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
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