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调整和建模奶酪的风味
Huabin Luo1, Simen Akkermans1, Davy Verheyen1
1BioTeC+, Chemical and Biochemical Process Technology and Control, Department of Chemical Engineering, KU Leuven, Ghent, Belgium.
Comprehensive reviews in food science and food safety
|September 1, 2024
概括
本研究提出了调整奶酪风味的框架,详细说明了制造和成熟因素如何影响生物化学途径和风味化合物. 数据驱动型建模有助于分析和预测奶酪风味概况,以提高消费者偏好.
科学领域:
- 食品科学 食品科学 食品科学
- 感官分析 感官分析
- 生物化学 生物化学
背景情况:
- 消费者对奶酪的偏好在很大程度上受到味道的影响.
- 奶酪制造过程改变了微环境,影响了味道.
- 了解风味的发展对于奶酪产品的优化至关重要.
研究的目的:
- 为理解和调节奶酪风味提供一个全面的框架.
- 将奶酪制造因素与生化途径和特定的风味化合物联系起来.
- 探索数据驱动建模在奶酪风味分析中的应用.
主要方法:
- 审查影响奶酪风味的因素,包括牛奶类型,脂肪/盐含量,微生物群和成熟条件.
- 分析关键的生化途径:蛋白质分解,氨基酸代谢和脂质分解.
- 检查数据驱动的建模,以识别关键因素,风味化合物和预测风味音符.
主要成果:
- 确定了关键的挥发性化合物 (酸,醇,,,等). 和它们相关的味道 (水果,坚果等). ) 的情况.
- 证明了制造和成熟变量对风味发展的影响.
- 强调了数据驱动模型在将影响因素与味道结果相关联方面的实用性.
结论:
- 拟议的框架提供了针对性调节奶酪风味的工具.
- 数据驱动的建模为奶酪风味分析和预测提供了强大的方法.
- 这项研究有助于制定一致和理想的奶酪风味配置文件的策略.
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