Eco-Friendly Extraction of Olive Leaf Phenolics and Terpenes: A Comparative Performance Analysis Against Conventional Methods López-Salas, Lucía Expósito-Almellón, Xavier Valencia-Isaza, Anderson Fernández-Arteaga, Alejandro Quirantes-Piné, Rosa Borrás-Linares, Isabel Lozano-Sánchez, Jesús Olea europaea L. Olive leaves Olive waste The present study focuses on recovering phenolic compounds and terpenes from olive leaves, which are generated as by-products during olive oil processing. To this end, conventional extraction/maceration (CE) and advanced extraction techniques such as subcritical water extraction (SWE), pressurized fluid extraction (PLE) and ultrasoundassisted extraction (UAE) were employed to compare and determine the most effective procedure. The phenolic and terpenoid composition of the extracts revealed a total of 33 compounds in HPLC-QTOF-MS analysis. According to these findings, the optimal extraction techniques for the maximum recovery of secoiridoids from olive leaves were PLE and UAE, with no significant difference between them (21.9891 ± 2.5521 mg/g DW and 21.0888 ± 1.3494 mg/g DW, respectively). Regarding to flavonoids, UAE was the most effective extraction technique, yielding 4.9837 ± 0.6739 mg/g DW. However, SWE recovered the highest amount of phenolic alcohols (7.4201 ± 0.9848 mg/g DW), which could be due to degradation of the secoiridoids during extraction. Conversely, UAE was more successful than the other techniques for the extraction of the terpene family (0.7373 ± 0.0601 mg/g DW). The present study therefore focuses on comparing different extraction techniques for revalorizing olive leaves as a source of bioactive compounds, specifically polyphenols and terpenes, due to their beneficial health properties. 2025-09-19T10:46:43Z 2025-09-19T10:46:43Z 2025-08-29 journal article López-Salas, L.; Expósito-Almellón, X.; Valencia-Isaza, A.; Fernández-Arteaga, A.; Quirantes-Piné, R.; Borrás-Linares, I.; Lozano-Sánchez, J. Eco-Friendly Extraction of Olive Leaf Phenolics and Terpenes: A Comparative Performance Analysis Against Conventional Methods. Foods 2025, 14, 3030. https://doi.org/10.3390/foods14173030 https://hdl.handle.net/10481/106480 10.3390/foods14173030 eng http://creativecommons.org/licenses/by/4.0/ open access Atribución 4.0 Internacional MDPI