Solanum betaceum Fruits Waste: A Valuable Source of Bioactive Compounds to Be Used in Foods and Non-Foods Applications

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Abstract
The fruit supply chain generates large amounts of waste that are often used as animal feed and in the production of both composts and fertilizers and biogas (anaerobic digestion). Since these types of procedures imply high economic costs related to drying, storage, and transport processes, more efficient and environmentally friendly utilization and recycling of this kind of waste are becoming significant for governments and industries. However, improper waste disposal increases the burden on the environment. Many of these fruit wastes, such as Solanum betaceum fruit waste, viz., peels, seeds, and pomace, could be considered potent bio-resource materials for several applications in the food and non-food industries due to their richness in valuable compounds. The basic composition of Solanum betaceum fruits seed has a high content of protein (20%), fiber (around 25%), sugar (11–20%) and low lipid content (0.4%), while S. betaceum peel has a low content of sugar (2–9%), protein (8–10%) and lipid (0.2–0.8%) and high fiber content (23%). Regarding the phytochemicals, the wastes have a high level of phenolics (0.2–0.6%) and pigments such as anthocyanins (0.06%). The inherent bioactive compounds of waste can be used as natural ingredients for foods, cosmetics, medicines, and the production of packaging materials production. Along this line, the present review covers all possible approaches for the valorization of S.betaceum waste in the food and non-food sectors.
Funding Information
  • Universidad Nacional de Tucumán (PIUNT 2018-G637, PICT 2017-4416, PICT 2020-3619, CONICET-PUE 2018-0011, P320RT0186)
  • Agencia Nacional de Promoción Científica y Técnica (PIUNT 2018-G637, PICT 2017-4416, PICT 2020-3619, CONICET-PUE 2018-0011, P320RT0186)
  • Consejo Nacional de Investigaciones Científicas y Técnicas (PIUNT 2018-G637, PICT 2017-4416, PICT 2020-3619, CONICET-PUE 2018-0011, P320RT0186)
  • Biolates network (PIUNT 2018-G637, PICT 2017-4416, PICT 2020-3619, CONICET-PUE 2018-0011, P320RT0186)

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