Analysis of Processes for Olive Oil Mill Wastewater Treatment

Abstract

The management and reuse of Olive Oil Mill Wastewater (OOMW) represent a critical challenge and opportunity for promoting sustainable practices in the agro-industrial sector. While OOMW is traditionally viewed as an environmental burden, it also contains valuable organic compounds with potential for recovery and reuse. This study adopts a bibliometric approach supported by information systems to analyze current research trends and emerging technologies for OOMW treatment. By integrating data from the Scopus database and visualizing results with VOSviewer, the analysis identifies thematic clusters and interdisciplinary connections, revealing a growing interest in the digital transformation of wastewater management. Key findings highlight the increasing adoption of smart technologies—such as Internet of Things (IoT) sensors, machine learning algorithms, and real-time decision-support systems—for monitoring, optimizing, and valorizing OOMW. These digital tools not only enhance treatment efficiency but also enable dynamic resource allocation and support circular economy strategies. The study concludes that the convergence between environmental technologies and information systems is reshaping the future of OOMW management, paving the way for intelligent, sustainable, and data-driven solutions in the olive oil industry.