دورية أكاديمية

An Overview of the Application of Multivariate Analysis to the Evaluation of Beer Sensory Quality and Shelf-Life Stability

التفاصيل البيبلوغرافية
العنوان: An Overview of the Application of Multivariate Analysis to the Evaluation of Beer Sensory Quality and Shelf-Life Stability
المؤلفون: Ana Carolina de Lima, Laura Aceña, Montserrat Mestres, Ricard Boqué
المصدر: Foods, Vol 11, Iss 14, p 2037 (2022)
بيانات النشر: MDPI AG, 2022.
سنة النشر: 2022
المجموعة: LCC:Chemical technology
مصطلحات موضوعية: sensory quality, brewing process, aging, multivariate analysis, Chemical technology, TP1-1185
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2304-8158
Relation: https://www.mdpi.com/2304-8158/11/14/2037; https://doaj.org/toc/2304-8158
DOI: 10.3390/foods11142037
URL الوصول: https://doaj.org/article/8000fb33ae8f4eff837f4219cc24cf69
رقم الأكسشن: edsdoj.8000fb33ae8f4eff837f4219cc24cf69
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:23048158
DOI:10.3390/foods11142037