Introduction
Beer is, arguably, the most widespread alcoholic beverage in the
world and its success is related, among other factors, to its suitability
for large scale production. Beer production was originally
handcrafted and the control of the fermentation was exerted by
skilled brew masters able to evaluate the progress of the process
with empirical sensory evaluations (Boulton & Quain, 2006, chap.
6). In the past decades, thanks to the rise of industrial beer production,
the subjective evaluation of the process has been outdated by
initial control parameters, being the regulation of wort composition
and yeast strain the main ones (Bamforth, 2006, chap. 11). Despite
the precise assessment of the previous mentioned parameters
the brewing industry still has to face different variation in the cycle
of the fermentation that might hamper the quality of the final
product. Therefore, large scale production of beer leads to the
necessity of quality assurance systems to guarantee the fulfilment
of the required quality consistency of the final product, forcing the
breweries to define and control one or several parameters during
the process to meet the proper standards. Although each company
defines its own specifications, some are required by law. In particular,
for what regards the final product, alcohol content or Plato
combined with LWR, demonstrates to be a perfectly suitable quantitative method to be implemented in
the production of beer.
Introduction
Beer is, arguably, the most widespread alcoholic beverage in the
world and its success is related, among other factors, to its suitability
for large scale production. Beer production was originally
handcrafted and the control of the fermentation was exerted by
skilled brew masters able to evaluate the progress of the process
with empirical sensory evaluations (Boulton & Quain, 2006, chap.
6). In the past decades, thanks to the rise of industrial beer production,
the subjective evaluation of the process has been outdated by
initial control parameters, being the regulation of wort composition
and yeast strain the main ones (Bamforth, 2006, chap. 11). Despite
the precise assessment of the previous mentioned parameters
the brewing industry still has to face different variation in the cycle
of the fermentation that might hamper the quality of the final
product. Therefore, large scale production of beer leads to the
necessity of quality assurance systems to guarantee the fulfilment
of the required quality consistency of the final product, forcing the
breweries to define and control one or several parameters during
the process to meet the proper standards. Although each company
defines its own specifications, some are required by law. In particular,
for what regards the final product, alcohol content or Plato
combined with LWR, demonstrates to be a perfectly suitable quantitative method to be implemented in
the production of beer.
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