1. Introduction
The rising interest in sustainable resource management has driven researchers and industries to reconsider the potential of agricultural by-products as reservoirs of bioactive compounds. One such underutilized resource is the olive leaf, a by-product of olive (
Olea europaea L.) cultivation, which is particularly abundant in Mediterranean regions. Traditionally discarded during pruning and processing, olive leaves are now gaining recognition for their phytochemical richness and promising functional properties [
1,
2].
Chemically, olive leaves are characterized by a diverse and abundant profile of bioactive compounds, particularly phenolic acids, flavonoids, and condensed tannins, as well as photosynthetic pigments such as chlorophylls and carotenoids [
3,
4,
5]. Due to their strong antioxidant, anti-inflammatory, and antimicrobial properties, these compounds are considered promising natural alternatives to synthetic additives in the agri-food industry, meeting the increasing consumer demand for clean-label, naturally derived ingredients [
4,
6,
7].
However, the efficiency of recovering these bioactive compounds from olive leaves strongly depends on the extraction method used. Factors such as temperature, solvent polarity, and extraction time can markedly influence both the yield and the biological activity of the resulting extracts [
8,
9]. Among various extraction parameters, solvent selection remains a decisive factor, as it governs extraction efficiency, selectivity, and environmental compatibility. In line with the principles of green chemistry, ethanol and hydroethanolic mixtures have emerged as preferred solvents for phenolic recovery owing to their low toxicity, renewability, and broad regulatory approval in food cosmetics, and pharmaceutical applications [
10,
11,
12]. Ethanol exhibits an intermediate polarity and strong hydrogen-bonding capacity, enabling the efficient dissolution of a broad spectrum of phenolic molecules, from hydrophilic phenolic acids to moderately lipophilic flavonoids, resulting in a representative extraction of antioxidant constituents [
13,
14]. Furthermore, its biodegradability, recoverability, and compatibility with sustainable processing strengthen its role as a cornerstone solvent in circular bioeconomy approaches aimed at the valorization of olive by-products [
15].
From an operational perspective, solvent selection must be coherently aligned with the extraction methodology employed. Maceration represents a straightforward, low-energy technique that effectively preserves thermolabile compounds by avoiding excessive thermal exposure, whereas Soxhlet extraction offers better solute recovery through continuous solvent percolation under controlled heating, thereby promoting more exhaustive mass transfer. Previous studies have shown that different extraction protocols can significantly influence both the yield and the phytochemical composition of olive leaf extracts, which in turn affects their bioactivity [
16,
17]. Building on this foundation, recent comparative investigations have further revealed that extraction parameters not only influence the overall yield but also modulate the relative distribution of major phenolic subclasses, particularly oleuropein, hydroxytyrosol, and luteolin derivatives, resulting in pronounced variations in both antioxidant and antimicrobial activities [
18,
19].
Intervarietal diversity plays also a decisive role in shaping the biochemical composition and functional potential of olive leaves. Recent comparative studies have consistently reported substantial variety-dependent differences in total phenolic content (TPC), total flavonoid content (TFC), and total condensed tannins (TCT), the major determinants of the antioxidant potential of olive leaf extracts [
1,
20]. Varieties exhibiting higher concentrations of key phenolic compounds, such as oleuropein, hydroxytyrosol, and luteolin derivatives, generally express enhanced radical-scavenging and reducing capacities, while those with comparatively lower phenolic and flavonoid levels display reduced antioxidant performance [
21,
22,
23]. These compositional disparities arise from intrinsic metabolic and genetic specificities and show a strong positive correlation with antioxidant activity assessed by DPPH and ABTS assays [
18,
24]. Collectively, these findings highlight the critical importance of varietal selection when evaluating the phytochemical and functional potential of olive leaves, as genetic background alone can drive pronounced variability in extract composition and bioactivity, even under standardized extraction conditions.
In recent years, an increasing number of studies conducted in Morocco and neighboring North African countries have investigated the phenolic composition and antioxidant potential of olive leaves under regional pedoclimatic conditions. Olmo-García et al. [
25], provided a comprehensive characterization of eleven Moroccan olive cultivars, revealing pronounced varietal differences in oleuropein concentration and other major phenolic compounds. El Adnany et al. [
26] and Chaji et al. [
27], demonstrated that extraction techniques and pre-treatment parameters markedly influence phenolic recovery and antioxidant activity, whereas Abbas et al. [
28], reported significant seasonal and genotypic variability in leaf phytochemical profiles. Similar findings from Tunisia and Algeria further corroborate that both genetic background and environmental factors play a decisive role in shaping the biochemical composition of olive leaves across the Maghreb region [
18,
29]. Nevertheless, a comprehensive comparative assessment integrating multiple Moroccan cultivars and extraction methodologies remains limited.
The present study addresses this gap by providing a dual assessment of varietal and methodological effects on the phenolic composition and antioxidant properties of nine olive leaf varieties cultivated under Moroccan conditions. To explore their valorization potential, two conventional extraction techniques (cold maceration and Soxhlet extraction) were applied and comparatively evaluated for their efficiency in recovering key phytochemical constituents, including total phenols, flavonoids, and condensed tannins. In the second phase of this study, the antioxidant potential of the obtained extracts was evaluated using two complementary in vitro assays, namely the DPPH and ABTS radical scavenging methods. The distinctive contribution of this work lies in its dual comparative approach, simultaneously examining the effects of intervarietal diversity and extraction methodology on both phytochemical recovery and bioactivity.
This comprehensive approach not only elucidates the interaction between genetic traits and extraction efficiency but also but also enhances the scientific understanding of olive biodiversity cultivated under Moroccan pedoclimatic conditions as a source of natural antioxidants. By linking variety-specific phytochemical profiles to extraction outcomes, the study contributes to circular economy strategies that promote the conversion of olive leaf biomass into value-added ingredients for functional food and nutraceutical applications.
2. Materials and Methods
2.1. Plant Material Sampling
Olive leaf samples of Olea europaea L. were manually collected from nine varieties cultivated in Morocco, including four Moroccan (Moroccan Picholine, Haouzia, Menara, and Meslala), four Spanish (Arbequina, Arbosana, Manzanilla, and Picual), and one Greek variety (Koroneiki).
Sampling was conducted in Meknes (33°54′14″ N, 5°33′27″ W), located at an altitude of approximately 552 m a.s.l. The region is characterized by a semi-arid Mediterranean climate, with temperatures ranging from 4.5 °C to 36 °C and an average annual rainfall of about 463 mm. Meknes is recognized as one of the principal olive-growing regions of Morocco, known for its long-standing tradition of olive cultivation and favorable pedoclimatic conditions. These characteristics make it an ideal site for assessing varietal and methodological influences on olive leaf phytochemical composition. The collection was performed in mid-October 2021, during the post-harvest period, when secondary metabolite levels are typically stable. Olive leaf samples were randomly harvested from both inner and outer branches of healthy and mature trees to ensure representativeness, with a total of 1.5 kg per variety. For each variety, one composite sample was prepared, and all extractions and analytical measurements were performed in triplicate to ensure precision and reproducibility.
Freshly collected olive leaves were immediately transported to the laboratory and washed under running tap water to remove dust, insects, and other debris. The samples were then air-dried in the shade at ambient room temperature (22–25 °C) with natural ventilation and protected from direct sunlight to minimize degradation of phenolic compounds. Drying continued until a constant weight was achieved, ensuring the removal of residual moisture. Finally, the dried leaves were then finely ground using a mechanical grinder prior to the extraction experiments.
2.2. Extraction Process
Two extraction methods were employed to obtain organic extracts from olive leaves. The first method involved hot extraction using a Soxhlet apparatus, while the second method employed cold maceration.
2.2.1. Soxhlet Extraction
The Soxhlet extraction procedure was carried out following the method of Ben Harb et al. [
30], with minor modifications. Concisely, 40 g of dry olive leaves were placed in a cellulose cartridge attached to the Soxhlet apparatus and covered with a condenser. Absolute ethanol (99.9%) was used as the extraction solvent; it was vaporized and then condensed repeatedly while in contact with the plant material. A solid-to-liquid ratio of 1:10 (w/v) was used to ensure proper solvent diffusion and extraction efficiency. Ethanol was selected for its low toxicity, environmental friendliness, and ease of removal, making it a widely used solvent for extracting bioactive compounds from agri-food waste. The extraction continued until the solvent became clear, which took approximately 5 hours under our experimental conditions. The resulting extracts were then evaporated using a rotary evaporator (BÜCHI Labortechnik AG, CH-9230 Flawil, n.d.) under vacuum at 40–50 °C and subsequently stored at 4 °C until further phytochemical analyses.
2.2.2. Maceration Extraction
The cold maceration procedure was performed following a modified version of the method described by Jiménez et al. [
31]. In brief, 30 g of dried olive leaves were first pulverized using a rotary knife homogenizer. The powdered material was then extracted at 25 °C for 24 hours using absolute ethanol (99.9%) as the solvent at a solid-to-liquid ratio of 1:10 (w:v). The resulting crude extracts were filtered through filter paper, and the solvent was subsequently removed under reduced pressure in a rotary evaporator (BÜCHI Labortechnik AG, CH-9230 Flawil, n.d.) at 40–50 °C. The concentrated extracts were stored at 4 °C, alongside the Soxhlet-derived extracts, until further phytochemical analyses
2.3. Extraction Yield
Following each extraction procedure (maceration and Soxhlet), the extraction yield was determined as the ratio of the dry mass of the recovered crude extract to the initial dry mass of olive leaves. The extraction yield (Y) was expressed in grams of extract per kilogram of dry olive leaf. This calculation was performed in accordance with standard procedures previously reported for olive leaf extraction [
1].
2.4. Determination of Total Phenolic Content
Total phenolic content (TPC) of the extracts was determined using the Folin–Ciocalteu method, following the procedure of Singleton et al. [
32], with minor modifications. Briefly, 0.5 mL of each extract or gallic acid standard was placed in a test tube, followed by the addition 2.5 mL of diluted Folin–Ciocalteu reagent (1:10) and 4 mL of sodium carbonate solution (7.5% w/v). The mixture was thoroughly mixed and incubated in the dark for 30 minutes at room temperature.
Absorbance was measured at 765 nm using a UV-visible spectrophotometer (SPECUVIS1, Wincom Company Ltd., Hunan, China). The total phenolic content was quantified using a gallic acid calibration curve (0–200 µg/mL) and was expressed as micrograms of gallic acid equivalents per milligram of dry weight (µg GAE/mg DW).
2.5. Determination of Total Flavonoid Content
Total flavonoid content (TFC) of each olive leaf extract was determined using the aluminum chloride (AlCl₃) colorimetric method, according to Dewanto et al. [
33], with slight modifications. In brief, 0.5 mL of each appropriately diluted extracts or quercetin standard solution was mixed with 0.15 mL of 5% (w/v) sodium nitrate (NaNO₂) and allowed to stand for 5 minutes. Subsequently, 0.15 mL of 10% (v/v) aluminium chloride (AlCl₃) was added, and the mixture was left to react for 6 minutes. Finally, 1 mL of 1 M sodium hydroxide (NaOH) was added, and the solution was incubated for 30 minutes at room temperature.
Absorbance was measured at 510 nm using a UV-visible spectrophotometer (SPECUVIS1, Wincom Company Ltd., Hunan, China). A calibration curve was established under identical conditions using quercetin as a reference standard. The total flavonoid content was expressed as micrograms of quercetin equivalents per milligram of dry weight (μg QE/mg DW).
2.6. Determination of Total Condensed Tannins
Total condensed tannin content (TCT) was determined using the vanillin assay in an acidic medium, following the method of Julkunen-Tiitto [
34]. In this procedure, 50 µL of each extract or catechin standard solution was mixed with 1.5 mL of vanillin/methanol solution (4% w/v) and vortexed thoroughly. Subsequently; 750 µL of concentrated hydrochloric acid (HCl) was added, and the reaction mixture was allowed to stand at room temperature for 20 minutes.
The absorbance was measured at 500 nm using a UV-visible spectrophotometer (SPECUVIS1, Wincom Company Ltd., Hunan, China). The tannin concentration was calculated from a catechin calibration curve and expressed as microgram of catechin equivalents per milligram of dry weight (µg CE/mg DW).
2.7. Antioxidant Activity Assays
The antioxidant activity of the 18 extracts obtained from the nine olive leaf varieties was evaluated using two complementary in vitro assays: The DPPH (2,2-diphenyl-1-picrylhydrazyl) radical scavenging method and ABTS (2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid)) or Trolox Equivalent Antioxidant Capacity (TEAC) assay. These assays are based on the ability of antioxidants present in the extracts to quench stable free radicals, leading to a measurable decrease in absorbance.
2.7.1. DPPH Radical Scavenging Activity
The DPPH free radical scavenging activity of the extracts was determined following the method of Brand-Williams et al. [
35]. A volume of 1.5 mL of each extract or Trolox standard solution was mixed with 1.5 mL of 0.2 mM DPPH solution prepared in absolute ethanol. The reaction mixture was incubated in the dark for 30 minutes at 30 °C, and the absorbance was measured at 517 nm using a UV-visible spectrophotometer (SPECUVIS1, Wincom Company Ltd., Hunan, China). Ascorbic acid was used as a reference antioxidant.
The percentage of DPPH inhibition was calculated using the following equation:
Where A0 is the absorbance of the control and A1 is the absorbance of the sample.
The results were expressed as IC50 values (μg/mL), corresponding to the concentration of extract required to inhibit 50% of DPPH radicals, as determined from the inhibition percentage curve.
2.7.2. ABTS Radical Cation Scavenging Activity
The ABTS
+ radical scavenging activity was determined according to the method of Re et al. [
36]. This assay measures the ability of antioxidants in the extracts to quench the ABTS
+ radical cation, resulting in a decrease in absorbance.
The ABTS+ radical cation was generated by reacting 10 mL of 7 mM ABTS solution with 5 mL of 2.45 mM potassium persulfate (K2S2O8) and allowing the mixture to stand in the dark at room temperature for 12-16 hours. The resulting ABTS+ solution was then diluted with ethanol to obtain an absorbance of 0.700 ± 0.02 at 734 nm.
For the assay, 3 mL of the prepared ABTS+ solution was mixed with 30 μL of each extract or Trolox standard, and the reaction mixture was incubated for 1 minute in the dark at room temperature. The absorbance was recorded at 734 nm using a UV-visible spectrophotometer (SPECUVIS1, Wincom Company Ltd., Hunan, China).
A Trolox calibration curve was used for quantification, and the results were expressed as micrograms of Trolox equivalents per milligram of dry weight (μg TE/mg DW).
2.8. Statistical Analyses
All determinations were performed in triplicate (three analytical replicates). Prior to statistical analyses, data were tested for normality using the Shapiro–Wilk test and homogeneity of variance using Levene’s test. Combined analyses of variance (ANOVA) were conducted using the general linear model (GLM) procedure to assess the main effects of extraction method and olive leaf variety, as well as their interaction. Least significant difference (LSD) tests were applied to compare mean values at a 5% probability level (p < 0.05).
Additionally, principal component analysis (PCA), cluster analysis and correlations matrix computations were performed on the mean values to explore relationships among the measured parameters and to identify grouping patterns among samples. Before performing the PCA, all variables (TPC, TFC, TCT, antioxidant activities, and extraction yield) were standardized to zero mean and unit variance (z-scores) to ensure comparability across different measurement scales. PCA was then carried out on the standardized correlation matrix to elucidate interrelationships among variables. Cluster analysis was subsequently performed using the nearest neighbor linkage method and squared Euclidean distance to confirm sample groupings identified by PCA.
All statistical analyses were performed using STATGRAPHICS Centurion XIX software package (Statpoint Technologies, Inc., Virginia, USA).
3. Results
3.1. Combined Analyses of Variance (ANOVA)
Mean squares from the combined ANOVA for the studied parameters - extraction yield (Y), total phenolic content (TPC), total flavonoid content (TFC), total condensed tannins (TCT), DPPH, and ABTS radical scavenging activities - are presented in
Table 1. These analyses revealed that the variety factor was the main source of variation across all phytochemical and antioxidant traits (TPC, TFC, TCT, DPPH, ABTS), highlighting the strong genetic influence on phenolic compound biosynthesis and antioxidant capacity. In contrast, the extraction method exerted the most significant effect (p < 0.001) on extraction yield, while the varietal factor explained only a minor fraction of its variability. The interaction between variety and extraction method was also significant for most parameters, suggesting that the extraction efficiency and antioxidant response of each olive variety were strongly dependent on the applied extraction technique.
3.2. Phytochemical Composition
Mean comparison among the nine olive leaf varieties (
Figure 1) revealed significant differences in extraction yield, total phenolic content, flavonoid content, and condensed tannins. Manzanilla exhibited the highest total phenolic yield, underscoring its potential as a high-value genotype for antioxidant ingredient production. In contrast, Arbosana and Koroneiki displayed the lowest TPC values (78.99 and 71.64 µg GAE/mg DW, respectively), differing significantly from the top-performing varieties.
For total flavonoid content, significant differences were also observed among varieties. Moroccan Picholine and Manzanilla recorded the highest levels (76.42 and 67.84 µg QE/mg DW, respectively), while Menara and Arbosana exhibited the lowest (42.46 and 44.01 µg QE/mg DW, respectively), confirming a clear statistical separation between high- and low-flavonoid groups.
Regarding total condensed tannins, Manzanilla again showed the highest concentration (14 µg CE/mg DW), significantly exceeding that of Meslala, which had the lowest (10 µg CE/mg DW). However, some intermediate varieties, such as Arbosana, Haouzia, and Moroccan Picholine, did not differ significantly, as indicated by shared statistical groupings in
Figure 1.
With respect to extraction methods (
Figure 2), significant differences were observed in extraction yield, total phenolic content, and flavonoid content, whereas condensed tannins showed no statistical variation. Soxhlet extraction resulted in significantly higher total phenolic content and overall extraction yield compared to cold maceration. However, maceration was more effective for flavonoid recovery. The similar tannin levels obtained by both methods suggest that extraction technique had little influence on condensed tannin yield.
3.3. Antioxidant Activities
Mean values of antioxidant activities in olive leaf extracts are presented in
Table 2. Significant differences were detected among the nine olive varieties and between the two extraction methods (maceration and Soxhlet).
In the DPPH assay, Manzanilla exhibited the highest antioxidant activity (IC₅₀ = 14.67 µg/mL), followed by Haouzia and Picual, whose activities were statistically comparable and close to that of the standard ascorbic acid (IC₅₀ = 12.73 µg/mL). In contrast, Arbosana and Koroneiki displayed the weakest antioxidant potential, showing significantly higher IC₅₀ values than the other varieties.
In the ABTS assay, which complements DPPH by reflecting both hydrophilic and lipophilic antioxidant capacities, Manzanilla, Haouzia, and Picual again demonstrated the strongest activity (118.96, 101.25, and 107.08 µg TE/mg DW, respectively). The lowest ABTS activity was recorded in Koroneiki (66.98 µg TE/mg DW) and Arbequina (69.37 µg TE/mg DW), corroborating the varietal trends observed in the DPPH test.
Regarding extraction techniques (
Table 2), the Soxhlet method demonstrated superior performance compared to cold maceration, yielding extracts with significantly higher antioxidant activity in both assays (DPPH: 22.35 vs. 25.06 µg/mL; ABTS: 92.21 vs. 85.17 µg TE/mg DW; p<0.05). These results highlight the enhanced efficiency of Soxhlet extraction in recovering phenolic antioxidants from olive leaves.
3.4. Multivariate Analyses
Correlation matrix among the investigated variables is depicted in
Table 3. Overall, significant positive relationships were observed among most of the studied traits, reflecting the interconnected nature of phytochemical composition and antioxidant potential in olive leaf extracts. Total phenolic content (TPC) was strongly correlated with both antioxidant assays (DPPH, r = 0.872***; and ABTS, r = 0.810***) and moderately with total flavonoid content (r = 0.619**). Extraction yield was also significantly correlated with TPC (r = 0.599**) and DPPH (r = 0.496*), indicating that higher extraction efficiency is generally associated with greater phenolic recovery and antioxidant capacity. In addition, total condensed tannins (TCT) exhibited moderate correlation with both antioxidant assays (DPPH, r = 0.602**; and ABTS, r = 0.525*), suggesting their partial contribution to the overall radical scavenging activity. Other correlations were weak or statistically insignificant, indicating limited interdependence among those parameters.
Principal component analysis (PCA) was performed on the correlation matrix based on mean values to establish the combination of each factor (variety and extraction methods) with the studied variables. The obtained results (
Figure 3) revealed that 80.2% of the total observed variability was explained by the first two principal components (PC); with PC1 explaining the largest proportion (62.4%) and PC2 contributing to an additional 17.8%. PC1 was strongly associated with extraction yield (Y), total phenolic content (TPC), total flavonoid content (TFC), and antioxidant activities (DPPH, ABTS), all oriented toward the positive direction of this axis. Varieties located on the positive side of PC1 (Manzanilla, Haouzia, Moroccan Picholine, and Picual) were characterized by higher bioactive compound levels and stronger antioxidant potential. In contrast, Arbequina, Arbosana, Koroneiki, and Menara projected on the negative side of PC1, exhibited lower phenolic contents and weaker antioxidant performance. Meslala occupied an intermediate position, reflecting moderate overall phytochemical and antioxidant profile. PC2 was mainly associated with total condensed tannins (TCT), separating varieties with higher tannin accumulation toward the upper region of the plot. Extraction yield contributed negatively along PC2, suggesting that samples richer in tannins tended to exhibit slightly lower extraction efficiency. This spatial distribution along the two axes PC1 and PC2 confirms the existence of distinct varietal groupings driven primarily by genotypic differences in phenolic biosynthesis and extractability.
Concerning extraction methods (
Figure 4), samples formed two distinct groups according to the extraction technique. Maceration extracts (MAC), located mainly in the upper part of the plot, were associated with higher levels of total condensed tannins (TCT) and total flavonoid content (TFC). In contrast, Soxhlet extracts (SOX) were positioned predominantly in the lower part of the plot and showed stronger associations with total phenolic content (TPC), antioxidant activities (DPPH and ABTS), and extraction yield (Y).
These findings suggest that maceration favored the extraction of tannins and flavonoids, while Soxhlet extraction was more efficient in recovering phenolics and achieving higher yield, resulting in extracts with stronger antioxidant capacities.
The hierarchical cluster analysis grouped the olive leaf extracts into two well-defined clusters (
Figure 5), showing a structure consistent with the PCA outcome. The first cluster, comprising Moroccan Picholine, Haouzia, Picual, and Manzanilla, gathered varieties sharing close compositional profiles, reflecting higher extractive performance and stronger antioxidant activities. The second cluster brought together Menara, Arbequina, Meslala, Arbosana, and Koroneiki, which displayed comparable chemical patterns but overall lower values for most measured traits. This clustering pattern reinforces the multivariate structure observed previously, confirming that varietal proximity is mainly determined by shared phytochemical and functional characteristics (antioxidant potential) rather than extraction conditions alone.
5. Conclusions
This study demonstrates that olive leaf bioactivity is primarily governed by varietal identity, while extraction method and its interaction with genotype modulate the recovery and stability of specific phytochemicals. Phenolic compounds emerged as the key determinants of antioxidant capacity, confirming the strong link between polyphenol richness and functional potential. Multivariate analyses revealed the existence of two distinct varietal groups with contrasting phytochemical and antioxidant profiles, revealing distinct opportunities for targeted valorization. Among them, Manzanilla, Haouzia, Picual, and Moroccan Picholine emerge as promising sources of natural antioxidants for high-value applications. The originality of this work lies in its integrated comparative framework, combining varietal diversity and extraction strategies under Moroccan conditions. These findings advance the concept of eco-extraction and waste valorization by demonstrating that olive leaves, often discarded as by-products of olive milling, represent renewable and high-value reservoirs of bioactive compounds. The use of ethanol, a biodegradable and low-toxicity solvent, aligns with green chemistry principles, minimizing environmental impact. By optimizing extraction parameters and identifying high-performing varieties, this study contributes to reducing biomass waste, improving resource efficiency, and supporting circular bioeconomy models within the olive oil sector.
Author Contributions
Conceptualization, Y.R., R.B., and M.EY.; methodology, Y.R. and R.B.; investigation, R.B. and M.EM.; writing—original draft preparation, R.B.; writing—review and editing, R.B., M.EY., and Y.R.; visualization, R.B., M.EM.; supervision, Y.R.; funding acquisition, Y.R. All authors have read and agreed to the published version of the manuscript.
Figure 1.
Mean comparison among varieties for extraction yield (Y) [a], total phenolic content (TPC) [b], total flavonoid content (TFC) [c], and total condensed tannins (TCT) [d]. Y is expressed as g of extract per kilogram of dry olive leaves (g/kg), TPC is expressed as µg of gallic acid equivalent (GAE) per milligram dry weight (mg DW). TFC is expressed as µg of quercetin equivalent (QE) per milligram dry weight (mg DW). TCT is expressed as µg of catechin equivalent (CE) per milligram dry weight (mg DW). Different letters above the bars indicate statistically significant differences at p < 0.05 according to LSD test. ARB = Arbequina; ASN = Arbosana; HAZ = Haouzia; KRK = Koroneiki; MEN = Menara; MES = Meslala; MNZ = Manzanilla; MP = Moroccan Picholine; PCL = Picual.
Figure 1.
Mean comparison among varieties for extraction yield (Y) [a], total phenolic content (TPC) [b], total flavonoid content (TFC) [c], and total condensed tannins (TCT) [d]. Y is expressed as g of extract per kilogram of dry olive leaves (g/kg), TPC is expressed as µg of gallic acid equivalent (GAE) per milligram dry weight (mg DW). TFC is expressed as µg of quercetin equivalent (QE) per milligram dry weight (mg DW). TCT is expressed as µg of catechin equivalent (CE) per milligram dry weight (mg DW). Different letters above the bars indicate statistically significant differences at p < 0.05 according to LSD test. ARB = Arbequina; ASN = Arbosana; HAZ = Haouzia; KRK = Koroneiki; MEN = Menara; MES = Meslala; MNZ = Manzanilla; MP = Moroccan Picholine; PCL = Picual.
Figure 2.
Mean comparison among extraction methods for extraction yield (Y) [a], total phenolic content (TPC) [b], total flavonoid content (TFC) [c], and total condensed tannins (TCT) [d]. Y is expressed as g of extract per kilogram of dry olive leaves (g/kg), TPC is expressed as µg of gallic acid equivalent (GAE) per milligram dry weight (mg DW). TFC is expressed as µg of quercetin equivalent (QE) per milligram dry weight (mg DW). TCT is expressed as µg of catechin equivalent (CE) per milligram dry weight (mg DW). Different letters above the bars indicate statistically significant differences at p < 0.05 according to LSD test. MAC = Maceration method; SOX = Soxhlet method.
Figure 2.
Mean comparison among extraction methods for extraction yield (Y) [a], total phenolic content (TPC) [b], total flavonoid content (TFC) [c], and total condensed tannins (TCT) [d]. Y is expressed as g of extract per kilogram of dry olive leaves (g/kg), TPC is expressed as µg of gallic acid equivalent (GAE) per milligram dry weight (mg DW). TFC is expressed as µg of quercetin equivalent (QE) per milligram dry weight (mg DW). TCT is expressed as µg of catechin equivalent (CE) per milligram dry weight (mg DW). Different letters above the bars indicate statistically significant differences at p < 0.05 according to LSD test. MAC = Maceration method; SOX = Soxhlet method.
Figure 3.
PCA projections on axes 1 and 2, accounting for 80.2% of the total variance. Eigenvalues of the correlation matrix are symbolized as vectors representing traits that most influence each axis. The 18 points representing trait means for each olive leaf variety extract are plotted on the plane determined by axes 1 and 2. Y = Extraction yield, TPC = Total phenolic content, TFC = Total flavonoid content, TCT = Total condensed tannins, DPPH = 2,2-diphenyl-1-picrylhydrazyl, and ABTS = 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid). ARB = Arbequina; ASN = Arbosana; HAZ = Haouzia; KRK = Koroneiki; MEN = Menara; MES = Meslala; MNZ = Manzanilla; MP = Moroccan Picholine; PCL = Picual.
Figure 3.
PCA projections on axes 1 and 2, accounting for 80.2% of the total variance. Eigenvalues of the correlation matrix are symbolized as vectors representing traits that most influence each axis. The 18 points representing trait means for each olive leaf variety extract are plotted on the plane determined by axes 1 and 2. Y = Extraction yield, TPC = Total phenolic content, TFC = Total flavonoid content, TCT = Total condensed tannins, DPPH = 2,2-diphenyl-1-picrylhydrazyl, and ABTS = 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid). ARB = Arbequina; ASN = Arbosana; HAZ = Haouzia; KRK = Koroneiki; MEN = Menara; MES = Meslala; MNZ = Manzanilla; MP = Moroccan Picholine; PCL = Picual.
Figure 4.
PCA projections on axes 1 and 2, accounting for 80.2% of the total variance. Eigenvalues of the correlation matrix are symbolized as vectors representing traits that most influence each axis. The 18 points representing trait means for each extraction method are plotted on the plane determined by axes 1 and 2. TPC = Total phenol content, TFC = Total flavonoid content, TCT = Total condensed tannins, DPPH = 2,2-diphenyl-1-picrylhydrazyl, and ABTS = 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid). MAC = Maceration; SOX = Soxhlet method.
Figure 4.
PCA projections on axes 1 and 2, accounting for 80.2% of the total variance. Eigenvalues of the correlation matrix are symbolized as vectors representing traits that most influence each axis. The 18 points representing trait means for each extraction method are plotted on the plane determined by axes 1 and 2. TPC = Total phenol content, TFC = Total flavonoid content, TCT = Total condensed tannins, DPPH = 2,2-diphenyl-1-picrylhydrazyl, and ABTS = 2,2’-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid). MAC = Maceration; SOX = Soxhlet method.
Figure 5.
Hierarchical cluster analysis dendrogram constructed using the nearest neighbor linkage method and squared Euclidean distance for leaf extracts from the nine olive varieties (ARB = Arbequina; ASN = Arbosana; HAZ = Haouzia; KRK = Koroneiki; MEN = Menara; MES = Meslala; MNZ = Manzanilla; MP = Moroccan Picholine; PCL = Picual), based on all measured parameters (total phenolic content, total flavonoid content, total condensed tannins, DPPH, and ABTS).
Figure 5.
Hierarchical cluster analysis dendrogram constructed using the nearest neighbor linkage method and squared Euclidean distance for leaf extracts from the nine olive varieties (ARB = Arbequina; ASN = Arbosana; HAZ = Haouzia; KRK = Koroneiki; MEN = Menara; MES = Meslala; MNZ = Manzanilla; MP = Moroccan Picholine; PCL = Picual), based on all measured parameters (total phenolic content, total flavonoid content, total condensed tannins, DPPH, and ABTS).
Table 1.
Mean squares of the combined analyses of variance of olive leaves extracts from nine varieties grown in Morocco obtained using two extraction methods (Maceration and Soxhlet).
Table 1.
Mean squares of the combined analyses of variance of olive leaves extracts from nine varieties grown in Morocco obtained using two extraction methods (Maceration and Soxhlet).
| Source of variation |
Df |
Y |
TPC |
TFC |
TCT |
DPPH |
ABTS |
| Varieties (Var) |
8 |
8384.6*** |
1332.11*** |
900.46*** |
15.30*** |
125.03*** |
1868.01*** |
| Extraction Methods (EM) |
1 |
275278.0*** |
1064.55*** |
277.98*** |
0.49 |
98.85*** |
668.52*** |
| Var× EM |
8 |
1821.5*** |
379.54*** |
378.86*** |
10.22*** |
44.98*** |
545.19*** |
| Replicate |
2 |
28.5 |
0.36 |
0.10 |
1.05 |
0.28 |
33.87 |
| Residual |
34 |
6.5 |
0.22 |
0.04 |
0.39 |
0.05 |
2.44 |
| Total |
53 |
|
|
|
|
|
|
Table 2.
Mean values of antioxidant activity measured using the DPPH and ABTS tests for olive leaf extracts from nine varieties grown in Morocco obtained using two extraction methods (Maceration and Soxhlet).
Table 2.
Mean values of antioxidant activity measured using the DPPH and ABTS tests for olive leaf extracts from nine varieties grown in Morocco obtained using two extraction methods (Maceration and Soxhlet).
| |
Antioxidant activity |
DPPH (IC50 μg/ml) (1) |
ABTS (μg TE/mg DW) (2)
|
| Varieties |
|
|
| ARB |
26.30f
|
69.37g
|
| ASN |
28.13h
|
81.46e
|
| HAZ |
19.93b
|
101.25c
|
| KRK |
28.85i
|
66.98h
|
| MEN |
26.93g
|
77.92f
|
| MES |
24.49e
|
81.98e
|
| MNZ |
14.67a
|
118.96a
|
| MP |
22.82d
|
93.23d
|
| PCL |
21.21c
|
107.08b
|
| Ascorbic Acid |
12.78a
|
- |
| Extraction Methods |
|
|
| Maceration |
25.06b
|
85.17b
|
|
Soxhlet |
22.35a
|
92.21a
|
Table 3.
Pearson correlation coefficients (n = 18) among the studied traits in olive leaf extracts from nine varieties grown in Morocco obtained using two extraction methods (Maceration and Soxhlet).
Table 3.
Pearson correlation coefficients (n = 18) among the studied traits in olive leaf extracts from nine varieties grown in Morocco obtained using two extraction methods (Maceration and Soxhlet).
| Variables |
TPC |
TFC |
TCT |
DPPH |
ABTS |
| Y |
0.599** |
0.131 |
0.109 |
0.496* |
0.467 |
| TPC |
|
0.619** |
0.346 |
0.872*** |
0.810*** |
| TFC |
|
|
0.425 |
0.543* |
0.534* |
| TCT |
|
|
|
0.602** |
0.525* |
| DPPH |
|
|
|
|
0.901*** |