变革的气味:通过工业生物技术创造可持续的香味
1Department of Health Sciences and Technology, ETH Zurich, Schmelzbergstrasse 9, 8092, Zürich, Switzerland.
Chembiochem : a European journal of chemical biology
|September 5, 2023
概括
可持续的香水为传统化学品提供了高价值,环保的替代品. 生物技术和机器学习 (ML) 的创新是开发负责任的香水生产和道德采购的关键.
科学领域:
- 绿色化学 绿色化学
- 生物技术是生物技术.
- 计算化学计算化学
背景情况:
- 消费者对可持续产品的需求不断增长.
- 需要对环境负责的高价值化学品.
- 目前的香水生产方法面临严格审查.
研究的目的:
- 审查可持续香水的概念和技术.
- 探索生物技术和计算方法的作用.
- 强调创新在香水开发中的重要性.
主要方法:
- 审查当前和新兴技术.
- 讨论生物技术方法 (发酵,生物催化剂,基因工程).
- 探索计算和in silico方法 (机器学习).
主要成果:
- 生物技术为香水生产提供了减少的环境足迹.
- 机器学习可以增强可持续的香水开发.
- 可持续的香水可以保持质量和一致性.
结论:
- 生物技术和机器学习对于可持续的香水创新至关重要.
- 伦理采购和新材料开发至关重要.
- 合作对于环保香水的未来至关重要.
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