Insights into chemical and sensorial aspects to understand and manage beer aging using chemometrics

Compr Rev Food Sci Food Saf. 2020 Nov;19(6):3774-3801. doi: 10.1111/1541-4337.12642. Epub 2020 Oct 3.

Abstract

Beer chemical instability remains, at present, the main challenge in maintaining beer quality. Although not fully understood, after decades of research, significant progress has been made in identifying "aging compounds," their origin, and formation pathways. However, as the nature of aging relies on beer manufacturing aspects such as raw materials, process variables, and storage conditions, the chemical profile differs among beers. Current research points to the impact of nonoxidative reactions on beer quality. The effect of Maillard and Maillard intermediates on the final beer quality has become the focus of beer aging research, as prevention of oxidation can only sustain beer quality to some extent. On the other hand, few studies have focused on tracing a profile of whose compound is sensory relevant to specific types of beer. In this matter, the incorporation of "chemometrics," a class of multivariate statistic procedures, has helped brewing scientists achieve specific correlations between the sensory profile and chemical data. The use of chemometrics as exploratory data analysis, discrimination techniques, and multivariate calibration techniques has made the qualitatively and quantitatively translation of sensory perception of aging into manageable chemical and analytical parameters. However, despite their vast potential, these techniques are rarely employed in beer aging studies. This review discusses the chemical and sensorial bases of beer aging. It focuses on how chemometrics can be used to their full potential, with future perspectives and research to be incorporated in the field, enabling a deeper and more specific understanding of the beer aging picture.

Keywords: beer chemistry; beer stability; beer staling; discriminant analysis; flavor stability; modeling beer aging; multivariate calibration; multivariate statistics.

Publication types

  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Beer / analysis*
  • Multivariate Analysis
  • Taste*
  • Time Factors