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Food waste from restaurant sector - Characterization for biorefinery approach
M Carmona-Cabello1, I L García1, J Sáez-Bastante1
1Department of Physical Chemistry and Applied Thermodynamics, EPS, Edificio Leonardo da Vinci, Campus de Rabanales, Universidad de Córdoba, Campus de Excelencia Internacional Agroalimentario ceiA3, 14071 Córdoba, Spain.
This study analyzed food waste (FW) from catering services, finding significant levels of lipids, starch, and proteins. This chemical composition data is key for developing effective biorefinery strategies and waste valorization pathways.
Area of Science:
- Food Science
- Biotechnology
- Waste Management
Background:
- Food waste (FW) presents a significant environmental challenge.
- Local catering services generate substantial amounts of FW with varying compositions.
- Understanding FW composition is crucial for developing sustainable valorization strategies.
Purpose of the Study:
- To analyze the detailed chemical composition of food waste from local catering services.
- To assess the potential for biorefinery development based on FW components.
- To establish a methodology for evaluating FW variability and guiding valorization.
Main Methods:
- Chemical characterization of FW samples to determine moisture, lipid, starch, protein, and metal content.
- Application of statistical tests and principal component analysis (PCA) to identify composition variations.
- Correlation of compositional data with FW typology and catering service origin.
Main Results:
- FW samples contained 27-47% organic material by weight.
- Key organic components on a dry basis included lipids (25.7-33.2%), starch (16.2-29.4%), and proteins (23.5-18.3%).
- A distinct metal profile was identified, with sodium (Na) and magnesium (Mg) as primary elements, alongside trace metals like zinc (Zn) and iron (Fe).
Conclusions:
- The study presents an innovative methodology combining chemical analysis and statistical approaches for FW evaluation.
- This systematic approach effectively identifies compositional variations and links them to FW sources.
- The findings provide a valuable decision-making tool for selecting optimal FW processing and valorization pathways, supporting biorefinery development.
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