de Lima Ana Carolina, Aceña Laura, Mestres Montserrat, Boqué Ricard
Chemometrics, Qualimetrics and Nanosensors Group, Department of Analytical Chemistry and Organic Chemistry, Campus Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain.
Instrumental Sensometry Group (iSens), Department of Analytical Chemistry and Organic Chemistry, Campus Sescelades, Universitat Rovira i Virgili, 43007 Tarragona, Spain.
Foods. 2022 Jul 9;11(14):2037. doi: 10.3390/foods11142037.
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.
实现啤酒的品质和稳定性仍然是酿造行业面临的主要挑战。尽管有各种可用技术，但要获得高品质产品，了解并控制啤酒生产过程的每一步很重要。由于该过程会影响最终产品的质量和稳定性，因此创建有助于管理和监控啤酒生产及陈酿过程的机制很重要。多元统计技术（化学计量学）可为此提供非常有用的工具，因为它们通过管理具有多个变量的不同类型数据之间的联系，便于从酿造数据集中提取和解释信息。此外，化学计量学有助于更好地了解产品在保质期内的过程和质量。本综述讨论了啤酒质量和稳定性的基础，并重点关注化学计量学如何用于在啤酒生产和陈酿过程中监测和管理啤酒质量参数。
