Producción Científica

The olive oil supply chain generates a substantial number of by-products, presenting significant environmental, economic, and social challenges. However, these by-products, such as pomace, wastewater, and biomass, also offer valuable opportunities for implementing a circular economy (CE) model that enhances sustainability. Despite increasing attention to the valorization of these by-products, understanding of the indicators used to measure circularity in this context remains limited. This systematic review examined the existing literature on circular economy indicators employed to assess the use of by-products in the olive oil supply chain. The aim was to provide a comprehensive overview of the most suitable indicators in this sector, while identifying best practices for quantifying and monitoring progress towards a more circular system. The review followed the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines, and bibliometric analysis was conducted using CiteSpace 6.4 R1 software. The results highlighted a key indicator, the Material Circularity Indicator (MCI). Additionally, methodologies such as Life Cycle Assessment (LCA) and water footprint (WF) were evaluated, while challenges were identified, including the need for standardized metrics and improved data collection across the supply chain. This review provides valuable insights for both future research and policy decisions aimed at promoting sustainability and circularity in the olive oil industry.

Context: L-citrulline is a non-essential amino acid primarily sourced from watermelon (Citrullus vulgaris). Many studies on L-citrulline have been conducted in the past 10 years. However, no bibliometric analyses have been performed. Aims: To establish bibliometric analysis as a comprehensive review of L-citrulline literature. Methods: Articles on L-citrulline published between 2013 and 2022 were retrieved from the Scopus database. The data was then analyzed for trends and quantity descriptions of authors, countries, and journals. The Vosviewer software was used to visualize the networks of keywords. Results: The analysis was conducted on September 9, 2022. From 2013 to 2022, 563 papers were retrieved in total. The number of L-citrulline publications had increased dramatically. The United States appeared to be the leading nation, providing the greatest number of publications and involving the world’s leading writers and organizations. L-citrulline research has primarily concentrated on nitric oxide synthase, ergogenic aid, and exercise performance. Based on the analysis of keywords with the less frequent occurrence, this study also identified possible themes for future investigation, especially in topics such as ‘body composition’, ‘diabetic nephropathy’, ‘exercise capacity’, ‘human recombinant arginase I’, ‘lactate’, ‘lactation’, ‘microcirculation’, ‘reactive oxygen species’, ‘skeletal muscle’, ‘watermelon rind’ and ‘watermelon juice’. Conclusion: Publications on L-citrulline are essential, but the amount is still insufficient. Further research is required.

The aim of this study is to carry out an analysis of the intellectual structure of the introduction of AI into finance, in the period from 1995 to 2023, using SciMAT v.1.1.04 software. The results indicate how research on the incorporation of AI in finance has grown significantly, which shows the evolution and importance of this area of research. Eight main topics were obtained in this area: bank, prediction, impact, decision, valuesstock, genetic algorithm, big data analysis, and social data analysis. This study shows us how the incorporation of AI can strongly support the analysis of different financial situations such as decision making or the prediction of movements.