Systematic Literature Network Analysis of Raw Materials in the Amazon Bioeconomy

The growing interest in sustainable raw materials has led to a significant rise in demand for Amazonian vegetable oils, such as pracaxi (Pentaclethra macroloba (Willd.) Kuntze) and patauá (Oenocarpus bataua). This study examines the patterns of their usage in scientific publications between 2010 and 2023, emphasizing their potential in three key areas: food, cosmetics, and mineral processing. The methodology employed is the Systematic Literature Network Analysis (SLNA), which integrates Systematic Literature Review (SLR) with Bibliographic Network Analysis. We identified sixty-one scientific articles from the Scopus database, with 32 meeting the criteria for Bibliometric Analysis. Using the VOSviewer program (version 1.6.20), we performed a keyword co-occurrence analysis to create bibliometric maps. These maps provided a clear depiction of the main research areas and how they have evolved over time in relation to these oilseeds. To complement the descriptive analyses, the Bibliometrix R package (version 4.4.1) was used to extract bibliographic information. This methodology effectively identifies emerging research sectors and provides a solid foundation for future studies on the Amazon bioeconomy.