Inicio  /  Sustainability  /  Vol: 9 Núm: 8 Par: August (2017)  /  Artículo
ARTÍCULO
TITULO

Processing, Valorization and Application of Bio-Waste Derived Compounds from Potato, Tomato, Olive and Cereals: A Review

Caroline Fritsch    
Andreas Staebler    
Anton Happel    
Miguel Angel Cubero Márquez    
Ingrid Aguiló-Aguayo    
Maribel Abadias    
Miriam Gallur    
Ilaria Maria Cigognini    
Angela Montanari    
Maria Jose López    
Francisca Suárez-Estrella    
Nigel Brunton    
Elisa Luengo    
Laura Sisti    
Maura Ferri and Gianluca Belotti    

Resumen

The vast and ever-growing amount of agricultural and food wastes has become a major concern throughout the whole world. Therefore, strategies for their processing and value-added reuse are needed to enable a sustainable utilization of feedstocks and reduce the environmental burden. By-products of potato, tomato, cereals and olive arise in significant amounts in European countries and are consequently of high relevance. Due to their composition with various beneficial ingredients, the waste products can be valorized by different techniques leading to economic and environmental advantages. This paper focuses on the waste generation during industrial processing of potato, tomato, cereals and olives within the European Union and reviews state-of-the-art technologies for their valorization. Furthermore, current applications, future perspectives and challenges are discussed.

 Artículos similares

       
 
Emin Aktan, Ivan Bartoli, Branko Gli?ic and Carlo Rainieri    
This paper summarizes the lessons learned after several decades of exploring and applying Structural Health Monitoring (SHM) in operating bridge structures. The challenges in real-time imaging and processing of large amounts of sensor data at various ban... ver más
Revista: Infrastructures

 
Poornima Mahadevappa, Redhwan Al-amri, Gamal Alkawsi, Ammar Ahmed Alkahtani, Mohammed Fahad Alghenaim and Mohammed Alsamman    
Edge data analytics refers to processing near data sources at the edge of the network to reduce delays in data transmission and, consequently, enable real-time interactions. However, data analytics at the edge introduces numerous security risks that can ... ver más
Revista: IoT

 
Tamim Mahmud Al-Hasan, Aya Nabil Sayed, Faycal Bensaali, Yassine Himeur, Iraklis Varlamis and George Dimitrakopoulos    
Recommender systems are a key technology for many applications, such as e-commerce, streaming media, and social media. Traditional recommender systems rely on collaborative filtering or content-based filtering to make recommendations. However, these appr... ver más

 
Maryam Badar and Marco Fisichella    
Fairness-aware mining of data streams is a challenging concern in the contemporary domain of machine learning. Many stream learning algorithms are used to replace humans in critical decision-making processes, e.g., hiring staff, assessing credit risk, et... ver más

 
Dominik Warch, Patrick Stellbauer and Pascal Neis    
In the digital transformation era, video media libraries? untapped potential is immense, restricted primarily by their non-machine-readable nature and basic search functionalities limited to standard metadata. This study presents a novel multimodal metho... ver más
Revista: Future Internet