Poster + Paper
13 June 2023 Evaluation of sugar content in hopped wort of artisanal beer by shortwave infrared spectroscopy
Giuseppe Bonifazi, Riccardo Gasbarrone, Silvia Serranti
Author Affiliations +
Conference Poster
Abstract
In brewing business more and more consistent quality, coupled with innovation and production cost reduction, is required. One of the most important parameters to be monitored during fermentation is density, being directly correlated with the alcohol and sugar content. The traditional method used to measure beer density requires the utilization of a hydrometer. In this study, a simple and fast approach to assess sugar content in hopped wort of artisanal beer, based on the utilization of a portable spectroscopic device working in the Short-Wave InfraRed (SWIR) region (1000-2400 nm), is adopted in order to be utilized both off- and on-line. The proposed approach, faster than the traditional hydrometric method, will allow to realize a better control of the process, reducing production cost and increasing, at the same time, product quality. Starting from the collected spectra, acquired in transreflectance mode and the reference density data, Partial Least Square (PLS) regression models able to predict the density of hopped wort were developed (i.e., Rp 2=0.98 and RMSEP = 0.3 °P; Rp 2=0.97 and RMSEP=0.5 °P, after VIP scores selection). PLS regression was optimized by pre– processing algorithms using an ad hoc code to achieve optimal performances and the computational time was reduced performing a wavelength reduction by VIP scores method.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Giuseppe Bonifazi, Riccardo Gasbarrone, and Silvia Serranti "Evaluation of sugar content in hopped wort of artisanal beer by shortwave infrared spectroscopy", Proc. SPIE 12545, Sensing for Agriculture and Food Quality and Safety XV, 125450E (13 June 2023); https://doi.org/10.1117/12.2663382
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KEYWORDS
Short wave infrared radiation

MATLAB

Smoothing

Spectroscopy

Infrared spectroscopy

Spectral density

Yeast

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