Development of Hybrid Systems by Integrating an Adsorption Process with Natural Zeolite and/or Palygorskite into the Electrocoagulation Treatment of Sanitary Landfill Leachate

The effectiveness of a hybrid approach comprising electrocoagulation (EC) and adsorption (AD) (using natural zeolite and/or palygorskite) processes to treat raw sanitary landfill leachate (SLL) was investigated in terms of color, dissolved chemical oxygen demand (d-COD), nitrate nitrogen (NO3−-N) and ammonium nitrogen (NH4+-N) removal. Optimal EC conditions were found with a current density of 30 mA cm−2, Fe electrode material and pH 8. Implementation of the AD process using zeolite (ADzeo) as pre- or post-treatment for EC significantly increased the NH4+-N removal efficiency. The ADzeo-EC sequential treatment showed considerably higher color removal compared to the EC-ADzeo sequential treatment and was therefore determined to be the optimal sequential treatment. Integration of the AD process using palygorskite (ADpal) into the first or middle stage of the ADzeo-EC treatment system enhanced the overall NO3−-N removal efficiency. The hybrid ADzeo-ADpal-EC treatment system exhibited the highest simultaneous removal efficiencies of color, d-COD, NO3−-N and NH4+-N, corresponding to 95.06 ± 0.19%, 48.89 ± 0.89%, 68.38 ± 0.93% and 78.25 ± 0.61%, respectively. The results of this study indicate that the ADzeo-ADpal-EC hybrid system is a promising and efficient approach for treating raw landfill leachate

Life cycle inventory and life cycle impact assessment datasets of PDO Feta production in Stymfalia region, Greece

Considering and reducing the environmental impacts has become one of the main concerns of agri-food systems. More specifically, the agri-food sector is increasingly confronted to the necessity of quantifying environmental impacts, e.g., to eco-design their products or to inform the consumers. Literature shows a high variability in environmental impacts between existing systems, as for example between cheeses and the necessity of more case studies to validate statements. In this context, this data paper provides some data related to Feta production in Greece, based on 8 farms of a cooperative (7 sheep livestock and one goat livestock). Feta cheese is PDO (Protected Designation of Origin), composed solely of goat's milk and sheep's milk under specific percentages (at least 70% sheep). More specifically, the data paper displays all the data used to obtain environmental impacts (calculated by using life cycle assessment (LCA)) of the production of Feta, from cradle to consumer. It includes the – sheep and goat – milk productions, the transformation into cheese, the packaging and the transport to wholesalers, then stores and then consumers. The raw data have mostly been obtained through interviews and surveys with the cheese and milk producers and complemented by literature. Data were used to build a life cycle inventory (LCI). For the milk production, the LCI was modeled using MEANS InOut software. For the whole LCI, Agribalyse 3.0 and Ecoinvent 3.8 were used as background databases, with modifications to reflect Greek context. The dataset also compiles the life cycle impact assessment (LCIA). The characterization method used is method EF3.0. This dataset participates in filling two gaps: (1) providing data to represent the variability between Feta cheese production systems and (2) providing data linking impacts of farm, transformation, retail and transport in a value chain perspective. This is done by (1) enlarging the perimeter when most studies found in literature focus on one stage (e.g. the production of milk) and (2) applying LCA to data specific to a regional production (Stymfalia in Greece)

A holistic assessment of blockchain-based traceability systems: The case of protected designation of origin feta cheese production

The implementation of blockchain (BC) technology in food traceability has attracted the attention of both scholars and practitioners because this technology enhances transparency and efficiency. While previous studies have attempted to assess the technical performance of BC-based applications, comprehensive economic and environmental assessments of BC-based food traceability systems are lacking. This study performs a technical, environmental and economic assessment of BC-based food traceability using a private BC (Quorum) and a public BC (Ethereum). The case study is the production of protected designation of origin feta cheese in Greece. The proposed BC-based system was found to have insignificant environmental impacts when compared to the existing impacts of feta production. Furthermore, the implementation of BC-based food traceability was found to be profitable for dairy producers when consumers’ willingness to pay a price premium for BC-based traceable products is taken into account. Sensitivity analyses under different scaling-up scenarios, from a purely technical perspective (i.e. increase in transaction volume and frequency) to scaling production, emphasised the potential benefits of BC-based food traceability from a scalability perspective