Compositional dynamics, volatome profiling, and hyperspectral-based predictive modeling for quality monitoring of brewer's spent grain during storage

Brewer’s spent grain (BSG) is a nutritionally rich by-product of brewing. However, its short shelf life, driven by environmental conditions, limits its applications beyond animal feed. This study investigates the effect of storage conditions (4, 20, and 35 °C) on BSG quality using non-invasive hyperspectral imaging (HSI) and invasive analytical techniques. Significant degradation of sugars (78.2–79.0%), fats (21.4–33.3%), starch (14–19%), protein (9–15%), and hemicellulose (20.3–34.4%) occurred during storage at 20 and 35 °C. In contrast, phenolic content increased by 30–130%, accompanied by a 1.7–7.8-fold increase in antioxidant activity and a pH shift from 6.4 to 8.8. A total of 65 volatile compounds exhibited temperature and time-dependent changes. Key off-flavor compounds such as 1-octen-3-ol, formic acid, octanic acid, butanoic acid, 2-butanone, and amide were associated with rancid, sour, cheesy, earthy, and bitter aromas in BSG stored at 20 °C and 35 °C. Significant changes in color, pH, stickiness, and odor were evident after 24 h at 20°C and 12 h at 35°C. KEGG pathway analysis revealed that pyruvate metabolism, cutin, suberine, and wax biosynthesis, alpha-linolenic acid metabolism, and tyrosine metabolism were the dominant metabolic pathways. HSI combined with machine learning accurately predicted key quality parameters, including total phenols (R 2 p = 0.9908, RMSEp = 0.1492), total color change (R 2 p = 0.9680, RMSEp = 0.8285), sugar (R 2 p = 0.9917, RMSEp = 0.6038), protein (R 2 p = 0.9756, RMSEp = 1.9467), pH (R 2 p = 0.9037, RMSEp = 0.2605), and fat (R 2 p = 0.9866, RMSEp = 0.8618). Specific wavelengths associated with chemical and physical changes were identified, and spatial distribution maps provided real-time visualization of spoilage progression. These findings highlight the potential of HSI as a rapid, non-invasive, and cost-effective technique for real-time quality monitoring and shelf life management of BSG, supporting its broader valorization. • BSG quality degrades rapidly at 20 °C (24 h) and 35 °C (12 h) storage. • Flavor and volatile profiles shift with temperature and duration. • First-order kinetics described most degradation trends (R 2 = 0.85–0.99). • Key KEGG metabolic pathways such as pyruvate metabolism, cutin, suberine and wax biosynthesis, alpha-linolenic acid metabolism . • HSI Predictions for protein, phenol, fat, sugar, pH and color were accurate and reliable. • HSI combined with ML enables effective BSG quality monitoring during storage.

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Publication Details

Journal
Food Control
Published
2025-08-20
DOI
https://doi.org/10.1016/j.foodcont.2025.111662
Primary Topic
Spectroscopy and Chemometric Analyses
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article
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article

Compositional dynamics, volatome profiling, and hyperspectral-based predictive modeling for quality monitoring of brewer's spent grain during storage

Pramod Aradwad, Barbara Sturm, Ahmed Abdelfattah, Mulugeta Admasu Delele et al.
Food Control
Spectroscopy and Chemometric Analyses
article

Compositional dynamics, volatome profiling, and hyperspectral-based predictive modeling for quality monitoring of brewer's spent grain during storage

Pramod Aradwad, Barbara Sturm, Ahmed Abdelfattah, Mulugeta Admasu Delele, Sharvari Raut, Arman Arefi, Cornelia Rauh
article en

Abstract

Brewer’s spent grain (BSG) is a nutritionally rich by-product of brewing. However, its short shelf life, driven by environmental conditions, limits its applications beyond animal feed. This study investigates the effect of storage conditions (4, 20, and 35 °C) on BSG quality using non-invasive hyperspectral imaging (HSI) and invasive analytical techniques. Significant degradation of sugars (78.2–79.0%), fats (21.4–33.3%), starch (14–19%), protein (9–15%), and hemicellulose (20.3–34.4%) occurred during storage at 20 and 35 °C. In contrast, phenolic content increased by 30–130%, accompanied by a 1.7–7.8-fold increase in antioxidant activity and a pH shift from 6.4 to 8.8. A total of 65 volatile compounds exhibited temperature and time-dependent changes. Key off-flavor compounds such as 1-octen-3-ol, formic acid, octanic acid, butanoic acid, 2-butanone, and amide were associated with rancid, sour, cheesy, earthy, and bitter aromas in BSG stored at 20 °C and 35 °C. Significant changes in color, pH, stickiness, and odor were evident after 24 h at 20°C and 12 h at 35°C. KEGG pathway analysis revealed that pyruvate metabolism, cutin, suberine, and wax biosynthesis, alpha-linolenic acid metabolism, and tyrosine metabolism were the dominant metabolic pathways. HSI combined with machine learning accurately predicted key quality parameters, including total phenols (R 2 p = 0.9908, RMSEp = 0.1492), total color change (R 2 p = 0.9680, RMSEp = 0.8285), sugar (R 2 p = 0.9917, RMSEp = 0.6038), protein (R 2 p = 0.9756, RMSEp = 1.9467), pH (R 2 p = 0.9037, RMSEp = 0.2605), and fat (R 2 p = 0.9866, RMSEp = 0.8618). Specific wavelengths associated with chemical and physical changes were identified, and spatial distribution maps provided real-time visualization of spoilage progression. These findings highlight the potential of HSI as a rapid, non-invasive, and cost-effective technique for real-time quality monitoring and shelf life management of BSG, supporting its broader valorization. • BSG quality degrades rapidly at 20 °C (24 h) and 35 °C (12 h) storage. • Flavor and volatile profiles shift with temperature and duration. • First-order kinetics described most degradation trends (R 2 = 0.85–0.99). • Key KEGG metabolic pathways such as pyruvate metabolism, cutin, suberine and wax biosynthesis, alpha-linolenic acid metabolism . • HSI Predictions for protein, phenol, fat, sugar, pH and color were accurate and reliable. • HSI combined with ML enables effective BSG quality monitoring during storage.

Food ControlVol. 180
Dr. Rajendra Prasad Central Agriculture University (IN), Humboldt-Universität zu Berlin (DE), Netzsch (Germany) (DE), Leibniz Institute for Agricultural Engineering and Bioeconomy (DE), Technische Universität Berlin (DE)
Zero hunger
Openalex Percentile: Top 76%
Spectroscopy and Chemometric Analyses
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