Food waste from restaurant sector – Characterization for biorefinery approach
Author
Carmona-Cabello, Miguel
López García, Isabel
Sáez Bastante, Javier
Pinzi, Sara
Koutinas, A.A.
Dorado, M.P.
Publisher
ElsevierDate
2020Subject
Restaurant and catering waste,Waste classification,Statistical analysis,Valorization,Biorefinery developmentMETS:
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The aim of this study is the analysis of food waste (FW) composition from local catering services to assess potential biorefinery development. Moisture content of different FW samples showed that 27–47% (w/w) was organic material. Main components were lipids (25.7–33.2, w/w), starch (16.2–29.4%, w/w) and proteins (23.5–18.3%, w/w) on a dry basis. A metal profile with Na and Mg as main components, followed by trace elements, i.e. Zn or Fe, was also found in food waste samples. Statistical tests in combination with principal component analysis provides an efficient methodology to establish specific composition variations between FW from different catering services, while relating them to FW typology. The combination of chemical characterization with statistical study constitutes a promising decision-making tool for FW processing and valorization. The innovative methodology presented in this study provides systematic evaluation of FW composition and variability to allow selection of the most appropriate valorization paths.