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  • 标题:An Overview of the Application of Multivariate Analysis to the Evaluation of Beer Sensory Quality and Shelf-Life Stability
  • 本地全文:下载
  • 作者:Ana Carolina de Lima ; Laura Aceña ; Montserrat Mestres
  • 期刊名称:Foods
  • 电子版ISSN:2304-8158
  • 出版年度:2022
  • 卷号:11
  • 期号:14
  • DOI:10.3390/foods11142037
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:Achieving beer quality and stability remains the main challenge for the brewing industry. Despite all the technologies available, to obtain a high-quality product, it is important to know and control every step of the beer production process. Since the process has an impact on the quality and stability of the final product, it is important to create mechanisms that help manage and monitor the beer production and aging processes. Multivariate statistical techniques (chemometrics) can be a very useful tool for this purpose, as they facilitate the extraction and interpretation of information from brewing datasets by managing the connections between different types of data with multiple variables. In addition, chemometrics could help to better understand the process and the quality of the product during its shelf life. This review discusses the basis of beer quality and stability and focuses on how chemometrics can be used to monitor and manage the beer quality parameters during the beer production and aging processes.
  • 关键词:sensory quality;brewing process;aging;multivariate analysis
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