Figures and show the networks generated with VOSviewer, analyzing the keywords extracted from the documents retrieved from Scopus and WoS, respectively. A total of 176 keywords were extracted from 40 documents in Scopus (Figure ), from these the software selects the most relevant words and organizes them into three clusters. The first cluster contains twenty-one words, the second words and third groups eighteen words. The most prominent words into these clusters are: "antioxidant capacity", "seed", "fruit" and "value" for the first group; "alternative", "Artemia salina" and "leafe" for the second group; and "antibacterial activity", "antifungal activity" and "E. coli" in the third group.