Next Article in Journal
Antioxidant Responses of the Pacific Abalone Haliotis discus hannai to Turbidity Changes
Previous Article in Journal
Preliminary Assessment of Age and Growth of the Red Swamp Crayfish Procambarus clarkii [Girard, 1852] in the River Nile in Egypt by Direct and Indirect Methods
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Lipid and Fatty Acid Composition of Low-Value Mediterranean Fish in Winter and Spring for Discard Valorization

by
Aristeidis Tsopelakos
1,2,* and
Helen Miliou
1
1
Laboratory of Applied Hydrobiology, Department of Animal Production, Agricultural University of Athens, 11855 Athens, Greece
2
Directorate of Fishing Activity and Product Control, Directorate General of Fisheries, Ministry of Rural Development and Food, 17671 Athens, Greece
*
Author to whom correspondence should be addressed.
Fishes 2025, 10(9), 454; https://doi.org/10.3390/fishes10090454
Submission received: 8 July 2025 / Revised: 13 August 2025 / Accepted: 25 August 2025 / Published: 5 September 2025
(This article belongs to the Special Issue Recent Advances in Nutrition and Metabolic Regulation of Fish)

Abstract

Winter and Spring variations of the fat and fatty acid compositions of discards from six species of the Aegean Sea were investigated to assess the potential suitability for human or aquaculture consumption. European pilchard (Sardina pilchardus), anchovy (Engraulis encrasicolus), curled picarel (Centracanthus cirrus), gilt sardine (Saridenella aurita), horse mackerel (Trachurus mediterraneus) and bogue (Boops boops) were collected from the local fishing wharf during winter and spring. In most species, the specimens caught in spring exhibited elevated fat and n-3 long-chain polyunsaturated fatty acid content, with Sardina pilchardus showing an increase in DHA from 13.59% to 16.06% and Engraulis encrasicolus from 20.36% to 23.41% of the total identified fatty acids. Despite their lower commercial value, the high n-3 LC-PUFA content renders them nutritionally valuable and eligible for use by the aquafeed industry as an alternative to the increasingly costly fish oil. Moreover, in accordance with EU legislation banning discards and mandating the landing of unwanted catches, the valorisation of these species, in line with circular economy principles, could enhance fishers’ income, reduce waste and contribute to the long-term sustainability of marine ecosystems.
Key Contribution: This study demonstrates that commonly discarded low-value Mediterranean fish species exhibit significant winter–spring increases in lipid and n-3 LC-PUFA content. These findings highlight their potential for nutritional valorisation in aquaculture and human consumption, contributing to the sustainable management of fishery resources.

1. Introduction

Marine capture fisheries contribute significantly to global food security by providing essential nutrients and economic development through employment, trade and the seafood supply chain. Yet a substantial portion of their yield is often discarded due to regulatory, economic, or operational constraints. Globally, discards represent not only a major loss of potentially valuable resources but also a challenge for sustainable fisheries management. According to FAO, discards account for 10.1% of the annual global catches (about 9.1 million tonnes) [1]. The Code of Conduct for Responsible Fisheries recommends that States should apply the precautionary approach widely to conservation management and exploitation of living aquatic resources, in order to protect them and preserve the aquatic environment [2]. Furthermore, States should take appropriate measures to minimize waste and discards, while maintaining relevant data [2]. In that context, the EU legislation (Regulation (EU) No 1380/2013) requires the landing and recording of all catches subject to catch limits, with the objective of gradually eliminating discards [3]. Moreover, landed discarded species are prohibited for human consumption and their utilization is restricted for other purposes such as fishmeal, fish oil, pet food, pharmaceuticals and cosmetics [3].
However, this policy—commonly referred to as the “Landing Obligation”—has sparked renewed interest in the valorization of underutilized or low-value fish resources. Following the global trend, approximately 240,000 tonnes of fish are discarded annually in the Mediterranean Sea, primarily consisting of species with low or no commercial value [4]. In the EU Regulation 1380/2013 definition, “discards” means catches that are returned to the sea [3]. There is no standard international definition of discards due to the national differences in how bycatch is characterized. However, discarded fish are typically identified based on species, size or a combination thereof, typically in relation to their economic value [5]. In the Mediterranean region, commercially important species such as Sardina pilchardus, Engraulis encrasicolus and Trachurus mediterraneus are often discarded when caught below the legal minimum landing size, while other species like Spicara smaris, Centracanthus cirrus and Boops boops are typically discarded due to their low or negligible market value [6,7].
Despite their low commercial value, discarded species retain high nutritional value [8], as they are sources of bioactive compounds such as protein, n-3 long chain polyunsaturated fatty acids (LC-PUFA), vitamins, polysaccharides and carotenoids [9,10,11]. These fatty acids are particularly important for human health, due to their anti-inflammatory, antithrombotic, antiarrhythmic, hypolipidemic and vasodilatory properties [12,13]. This underscores the nutritional relevance of these species, which have often been overlooked due to their limited market appeal. Their valorization could contribute not only to reducing waste but also to increasing the availability of healthy marine-derived lipids for food and feed purposes.
At the same time, the continuous growth of the aquaculture industry presents challenges regarding fish meal and fish oil availability [14,15]. Their increasing demand and the profitability of the sector have intensified the search for additional or alternative ingredients for aquafeed formulation [15]. A clearer understanding of the winter–spring fluctuations in these bioactive components is crucial for optimizing their nutritional utilization. In this context, small pelagic and demersal species discarded in the Mediterranean represent a promising yet underexplored source of n-3 LC-PUFA-rich biomass.
The fat content and fatty acid composition of harvested fish species, including those commonly discarded, exhibit marked winter–spring variations that can significantly influence their nutritional quality and potential applications [16,17,18,19]. These variations are related to the fish life cycle, temperature, salinity and the fatty acid composition of their natural diet [19]. Despite being recognized as excellent sources of n-3 LC-PUFAs, commonly discarded species in the Mediterranean Sea remain understudied. Even fewer studies have examined the seasonal variations in these compounds. Such information is necessary to identify optimal harvesting periods that maximize the yield of valuable nutrients and facilitate their valorization for feed or nutraceutical applications.
The aim of this study was to investigate the winter–spring variations of fat and fatty acid composition of discards from six species of the Aegean Sea—European pilchard (Sardina pilchardus), anchovy (Engraulis encrasicolus), curled picarel (Centracanthus cirrus), gilt sardine (Saridenella aurita), horse mackerel (Trachurus mediterraneus) and bogue (Boops boops)—and to assess their potential suitability as ingredients for processed products intended for human consumption or use in the aquaculture industry.

2. Materials and Methods

2.1. Sample Collection and Preparation

Specimens of the six study species—S. pilchardus, E. encrasicolus, C. cirrus, S. aurita, T. mediterraneus and B. boops—were collected from discards at the local fishing wharf in Keratsini (Piraeus) during winter (January) and spring (May) of 2015. Samples were obtained directly from landed discards, with no detailed catch location data available. Immediately after landing, individuals were sorted by species based on morphological characteristics following the FAO species identification guide for the Eastern Mediterranean [20]. From each crate, approximately 100 specimens of each species were measured and inspected. While individuals were broadly categorized as mature or immature during sorting, detailed records of maturity stages were not retained. Sex was not determined because whole-body samples were pooled and analyzed irrespective of sex. For each species and season, specimens were combined to create a composite sample of approximately 1 kg of homogenized whole-body tissue. Whole-body composites, rather than fillets, were analyzed to represent the total lipid content and fatty acid composition of discards, including muscle, skin, head and viscera. Samples were stored on ice and transported to the laboratory within 2 h. Fish were homogenized and subsamples were taken for moisture analysis in order to express crude lipid content on a wet weight basis. All analyses were performed in triplicate for each sample to ensure reproducibility and accuracy. Moisture was determined by placing the samples in an oven (110 °C for 24 h) until constant weight was obtained. The remaining homogenate was freeze-dried and stored at −20 °C until further analysis.

2.2. Crude Lipid Determination and Fatty Acid Composition Analysis

Crude lipid content was determined using the Folch extraction method [21] on homogenized whole-body composite samples. Fatty acid composition was analysed by gas chromatography (GC) after lipid extraction and subsequent methylation following Christie’s protocol [22]. Briefly, extracted lipids were saponified with 0.5 M KOH in methanol (Sigma-Aldrich, St. Louis, MO, USA), esterified with boron trifluoride–methanol (BF3–MeOH; Sigma-Aldrich, St. Louis, MO, USA) at 100 °C for 30 min. The resulting FAMEs were extracted in hexane (Sigma-Aldrich, St. Louis, MO, USA), washed with distilled water and dried under nitrogen. Fatty acid methyl esters (FAMEs) were separated using a fused silica capillary column, coated with bonded polyglycol liquid phase (Omegawax 320, L: 30 m, ID: 0.32 mm, DF: 0.25 μm; Supelco, Bellefonte, PA, USA), on an Agilent GC (6890) system, coupled with a flame ionization detector (FID) (Agilent Technologies, Santa Clara, CA, USA).
Helium (99.999% purity; Revival, Athens, Greece) was used as the carrier gas, with a flow rate of 2 mL/min. The temperature program was set from 50 °C to 150 °C at a rate of 40 °C/min and then increased to 225 °C at a rate of 2 °C/min. Nonadecanoic acid (19:0; Sigma-Aldrich, St. Louis, MO, USA) was used as the internal standard. FAME identification was performed by comparison to known standards and reference materials (37 Components FAME mix, Menhaden Fish Oil and AOCS Ce 1i-07; Supelco, Bellefonte, PA, USA) using Chemstation software (G1701DA Rev.01.02 SP1; Agilent Technologies, Santa Clara, CA, USA).

2.3. Statistical Analysis and Modeling

Statistical analysis was performed using R (version 4.5.1). Differences in fatty acid composition between winter and spring samples were evaluated for each species using independent samples t-tests. Prior to testing, data were checked for normality using the Shapiro–Wilk test and homogeneity of variances using Levene’s test. A significance threshold of p < 0.05 was applied.
To explore multivariate patterns of variation, Principal Component Analysis (PCA) was conducted on the major dietary fatty acids. The data were autoscaled (mean-centered and standardized) prior to analysis. PCA scores were plotted to visualize sample groupings by species and season, while loading vectors were used to identify the fatty acids contributing most to the observed variation. The analysis enabled the identification of winter–spring shifts in lipid profiles and provided insight into the dominant patterns across species. The PCA results were interpreted in conjunction with univariate outcomes to draw robust conclusions about the winter–spring variability and its biological significance.
In addition to univariate analyses, a two-way multivariate analysis of variance (MANOVA) was performed to examine the simultaneous effects of species, season and their interaction on the fatty acid profile. MANOVA was chosen to account for intercorrelations among fatty acids and detect multivariate patterns. Box’s M test indicated heterogeneity of covariance matrices (p < 0.001), so Pillai’s Trace was used as the criterion for significance. Follow-up univariate ANOVAs were conducted to identify specific fatty acids contributing to multivariate effects. Approximately 100 specimens per species and season (winter and spring) were initially measured and sorted, but analyses were performed on pooled composites (one per species and season), each analyzed in triplicate. Therefore, the results reflect pooled inter-individual variability and are interpreted accordingly.

3. Results

3.1. Crude Lipid Content

Crude lipid content varied significantly between winter and spring for most of the examined species (Table 1). In general, specimens collected in spring exhibited higher fat content compared to those caught in winter. The most pronounced winter–spring differences were observed in Sardina pilchardus, Centracanthus cirrus, Trachurus mediterraneus and Boops boops (p < 0.001), with lipid levels increasing from 4.0% to 11.0%, 1.7% to 7.2%, 2.9% to 5.6% and 1.9% to 8.4%, respectively. A smaller but statistically significant increase was observed in Engraulis encrasicolus (p < 0.05). In contrast, Saridenella aurita showed no significant winter–spring variation in lipid content (p > 0.05).

3.2. Fatty Acid Composition

The fatty acid composition also showed winter–spring variation, with significant differences between winter and spring in several key fatty acids across species (Table 2). In Sardina pilchardus, spring samples had higher levels of 18:1n-9 (oleic acid), 18:2n-6 (linoleic acid), 18:3n-3 (α-linolenic acid), 18:4n-3 (stearidonic acid) and 22:6n-3 (DHA), with concurrent decreases in 16:0 (palmitic acid), 16:1n-7 (palmitoleic acid) and 18:1n-7 (vaccenic acid). Specifically, DHA increased from 13.59% in winter to 16.06% in spring. EPA (20:5n-3) was also found to be significantly lower in the spring. Despite this reduction, the total n-3 fatty acid content was significantly elevated in spring, compared to winter.
Similar patterns were observed in Engraulis encrasicolus, with DHA increasing from 20.36% to 23.41%; however, the increase in total n-3 fatty acid level did not reach statistical significance. This is because Σn-3 is the sum of multiple n-3 components with varying winter–spring trends and the combined variability offsets the significant increase observed in individual fatty acids such as DHA. In contrast, spring levels of palmitic, oleic and vaccenic acid in Centracanthus cirrus were elevated, while EPA, DHA, linoleic, α-linolenic and stearidonic acid levels declined. Additionally, total n-3, n-3 LC-PUFA and n-6 levels decreased, whereas total monounsaturated fatty acids increased.
In all three species, DHA and EPA remained the dominant n-3 polyunsaturated fatty acids and palmitic acid was the most abundant saturated fatty acid. Notably, the Σn-3/Σn-6 ratio significantly decreased in E. encrasicolus (p < 0.001) and increased in C. cirrus (p < 0.01), indicating species-specific shifts in nutritional profile.
For the remaining species, winter–spring trends were more variable (Table 3). Sardinella aurita demonstrated significant reductions in most fatty acid spring levels. Notably, DHA (p < 0.01) and 22:1n-11 (p < 0.05) were exceptions, showing significantly higher concentrations in spring. The increase in DHA also contributed to significant elevations in total n-3 and total n-3 LC-PUFA.
Horse mackerel also showed significant increases in DHA and total Σn-3 content in spring, while Boops boops presented relatively stable profiles, with only minor differences between winter and spring.
Overall, the winter–spring variation in fatty acid profiles was more pronounced in species with higher seasonal lipid accumulation, suggesting a relationship between total fat content and compositional shifts. Long-chain n-3 LC-PUFA levels (particularly EPA + DHA) remained high across all species and seasons, confirming the potential nutritional value of these low-commercial species.

3.3. Principal Component Analysis

The results of the principal component analysis (PCA) were in strong agreement with the univariate statistical analysis of fatty acid composition. Species such as Sardina pilchardus and Trachurus mediterraneus showed clear separation between winter and spring along PC1, which was driven by fatty acids that also exhibited statistically significant winter–spring differences (e.g., DHA, 18:1n-9, and α-linolenic acid). Engraulis encrasicolus displayed moderate separation, reflecting directionally similar but less statistically robust changes. In contrast, Boops boops and Sardinella aurita formed tight seasonal clusters in the PCA plot and showed few or no significant differences in individual fatty acids, indicating minimal winter–spring variability. Notably, Centracanthus cirrus exhibited a distinct winter–spring shift in the opposite direction along PC1, associated with increases in SFA and MUFA during spring, aligning with significant univariate changes. A summary of the agreement between PCA-based grouping and the results of t-tests for each species is presented in Table 4.
The first two principal components explained 56.9% of the total variance after Varimax rotation, while six components with eigenvalues greater than 1 accounted for 90.5% of the variation in fatty acid profiles. The rotated solution redistributed variance more evenly across components, allowing for improved interpretation of species- and season-specific patterns (Figure 1).

3.4. Multivariate Analysis of Variance

The MANOVA results revealed a significant multivariate effect of species (Pillai’s Trace = 4.980, F (115, 30) = 66.63, p < 0.001), season (Pillai’s Trace = 0.999, F (23, 2) = 58.29, p = 0.017) and their interaction (Pillai’s Trace = 4.917, F (115, 30) = 15.45, p < 0.001) on overall fatty acid profiles. Follow-up univariate ANOVAs showed that several individual fatty acids were significantly affected by species, season, or their interaction (Figure 2). Key winter–spring changes included elevated spring levels of DHA, EPA and Σn-3 in multiple species. Although the primary statistical focus was on winter–spring changes, the MANOVA results also highlight significant differences across species, while the PCA biplot provides a clear visual representation of inter-species similarities and groupings based on fatty acid composition. The significant species–season interaction detected in the MANOVA is reflected in the species-specific lipid shifts shown in Table 2 and Table 3, for instance, DHA increases in spring for E. encrasicolus and T. mediterraneus, while an opposite trend is observed in C. cirrus. This highlights how multivariate effects translate into individual fatty acid patterns.

4. Discussion

The findings of this study contribute to the utilization potential of several low-commercial value fish species, commonly discarded in the Aegean Sea, as they exhibit notable winter–spring variation in their lipid content and fatty acid profiles. Crude lipid levels were significantly higher in spring for all species examined, with the exception of the gilt sardine. This pattern is consistent with previous studies linking seasonal fat accumulation to post-spawning recovery and increased food availability during the warmer months [17,18,19,23,24]. The significant decrease in EPA observed in sardine and anchovy during spring, alongside an increase in DHA, may reflect the selective oxidation of EPA and the preferential retention of DHA, likely due to the inherent difficulty in oxidizing 22:6n-3 [25,26]. Other LC-PUFA, such as docosapentaenoic acid (22:5n-3), also displayed winter–spring variation, particularly in species like C. cirrus, where spring levels increased significantly (Table 2). Although less abundant than EPA and DHA, 22:5n-3 contributes to the overall nutritional profile of these species [27]. EPA (20:5n-3) is more prone to β-oxidation and is preferentially mobilized as an energy source during post-spawning recovery, whereas DHA (22:6n-3) is structurally essential in cell membranes and is thus selectively retained to preserve membrane integrity and function [25,26].
Moreover, the winter–spring variability of the fatty acid profile has been previously attributed to the corresponding changes in the natural diet, such as fluctuations in the availability and composition of zooplankton, phytoplankton and other prey items that influence the lipid intake of fish [28,29,30]. An overview of the main prey items for each species during winter and spring, compiled from published studies, is provided in Table A1 (Appendix A). In sardine, total n-3 content was elevated in spring, consistent with previous findings [17,23,29]. While Sardinella aurita did not show a significant change in total lipid content between winter and spring, a notable springtime increase in total n-3 LC-PUFA was observed, in line with past reports [28,30]. Similar but not statistically significant trends were observed in the other species, except for curled picarel, which showed a slight decrease. In C. cirrus, the spring decrease in n-3 LC-PUFA may reflect post-spawning lipid mobilization, during which energy reserves are depleted. This pattern could also be linked to dietary shifts toward prey items with a lower n-3 content, as reported for other Mediterranean species [16,19,24]. EPA and DHA levels in anchovies were significantly higher in spring, consistent with previous data [19,29]. These elevated n-3 LC-PUFA concentrations across multiple underutilized species reinforce their value as nutrient-rich resources, despite their traditional classification as discards.
Further highlighting species-specific patterns, bogue has been previously reported to exhibit significant seasonal variations of EPA, DHA, n-3 LC-PUFA, SFA and MUFA [31,32,33]. However, such variations were not evident in the current study, likely due to differences in sampling periods, local environmental factors, or the specific fatty acid composition of the local zooplankton community [29]. In contrast, the relatively stable fatty acid profile of horse mackerel across seasons is consistent with earlier findings, which reported minimal fluctuations in its lipid composition between winter and spring [32]. This stability may also be related to the trophic flexibility of Sardinella aurita, which readily alternates between zooplankton and phytoplankton resources depending on availability [34,35]. In contrast, Boops boops shows an omnivorous feeding strategy, exploiting both pelagic and benthic prey, such as crustaceans, mollusks and gelatinous zooplankton, throughout the year [36,37]. These ecological traits likely reduce the impact of seasonal changes on lipid profiles. Comparable patterns of winter–spring lipid variation have been observed in other Mediterranean small pelagic and demersal species [16,19,23,24].
Taken together, these findings demonstrate that while some discarded species exhibit strong winter–spring shifts in lipid composition, others maintain a relatively stable profile throughout the year. Across all species, n-3 LC-PUFA content and Σn-3/Σn-6 ratios were high, with values higher or comparable to those found in commercial fish oils for use in aquaculture [38] and for human consumption [39]. The modern Western diet is characterized by a disproportionately high n-6/n-3 ratio, estimated at 10:1 to 20:1 [40,41], whereas a ratio closer to 5:1 is recommended for optimal health [42]. In this context, the fatty acid profiles of the studied species make them particularly suitable for inclusion in functional foods or aquafeeds. The presence of substantial levels of EPA and DHA further enhances their functional value.
To better capture the complexity of winter–spring lipid variability, the study employed a combination of univariate and multivariate statistical methods. The integration of multivariate (PCA and MANOVA) and univariate (t-test) analyses provides a more comprehensive understanding of winter–spring changes in fatty acid composition across species. Principal Component Analysis (PCA) effectively visualized patterns of variance in the data and allowed for the identification of species- and season-specific lipid signatures [28,29,43]. Species such as Sardina pilchardus and Trachurus mediterraneus showed clear winter–spring separation along PC1, which was driven by fatty acids that also exhibited significant winter–spring differences in univariate tests (e.g., DHA, 18:1n-9, α-linolenic acid) [17]. Engraulis encrasicolus showed moderate separation, suggesting less pronounced but directionally similar lipid shifts. Conversely, Boops boops and Sardinella aurita displayed tight winter–spring clustering, indicating low lipid variability, consistent with their ecological traits and diet. Interestingly, Centracanthus cirrus showed a shift in the opposite direction along PC1, driven by increases in saturated and monounsaturated fatty acids—highlighting species-specific physiological or trophic responses.
In parallel, Multivariate Analysis of Variance (MANOVA) further validated these patterns, detecting significant effects of species, season and their interaction on the overall fatty acid matrix. This analytical approach confirmed that the winter–spring trends observed in PCA were not merely visual artifacts but statistically robust across multiple variables [29,44]. The agreement between PCA visualization and MANOVA outcomes demonstrates the added interpretive value of combining dimension-reduction and hypothesis-testing frameworks when assessing biochemical variation in marine organisms [45,46,47]. Such an approach is particularly relevant in the context of discard utilization, where both ecological and biochemical profiles inform the potential for valorization [25,48].
One of the most immediate applications for valorizing these species is in aquafeed production. As global aquaculture continues to grow, the demand for fishmeal and fish oil—especially those rich in EPA and DHA—continues to rise, creating supply shortages and price volatility [14,15]. The inclusion of discarded species with favorable fatty acid composition in feeds can reduce dependency on small pelagic species, which are under constant pressure from overfishing due to their extensive use as raw materials for fishmeal and fish oil [49]. The inclusion of such species in feed formulations has already been shown to support optimal growth performance and health in farmed fish, making their integration both nutritionally feasible and economically relevant [8]. Although direct yield and cost comparisons with traditional sources such as anchovy or menhaden are limited, fishmeal and fish oil derived from discards have been shown to match the nutritional quality of industrial fishmeal and successfully support aquafeed formulations for species such as salmon, trout and seabream [8]. Since these species are typically treated as low-value byproducts, their acquisition cost is significantly lower than that of targeted forage fish, making them a promising alternative for sustainable feed production. This highlights a clear valorization pathway for these underutilized species as cost-effective raw materials for aquafeed and nutraceutical industries [8,9,10].
Beyond aquafeeds, human nutrition represents another important valorization route. Several of the studied species displayed Σn-3/Σn-6 ratios within or exceeding recommended dietary thresholds, indicating potential as sources of health-promoting lipids. Products derived from discarded fish—such as oil capsules, fortified foods, or protein–lipid concentrates—can serve as functional ingredients, addressing current gaps in dietary EPA and DHA intake, particularly in Western populations [39,42]. Although current regulations restrict the direct marketing of landed discards for human consumption [3] processed forms, such as purified oils and nutraceuticals, derived from these species are both legally permissible and technically feasible, especially when they are not marketed as whole foods [9,11,50,51].
Additionally, the pharmaceutical, cosmetic and pet food industries may represent valuable end-markets. Fish oils rich in LC-PUFA are increasingly used in formulations targeting inflammatory and cardiovascular conditions, while protein hydrolysates from marine discards are being investigated for anti-hypertensive and antioxidant properties [8,11]. The high-quality lipid profiles of the studied species align well with these trends, especially considering the relatively low contaminant burden often reported for small pelagics and short-lived demersal species [52].
Importantly, the winter–spring variation documented in this study underscores the need for strategic timing in harvesting and processing, in order to maximize lipid yield and nutritional value. This is particularly relevant when valorization is targeted toward high-end markets, such as supplements and pharmaceuticals, where compositional standards are more stringent. Year-round biochemical profiling of these species could help define optimal landing windows and enhance the economic efficiency of processing operations.
Reintegrating these low-value species into the value chain, either as feed ingredients or for the extraction of bioactive lipids, aligns with the objectives of the EU’s Landing Obligation [3]. The reduced discards and bycatch, enforced by changes in legislation or higher market prices, are expected to be a driving factor in the anticipated increase in capture fisheries production by 2032 [15]. This study supports the utilization of discards by demonstrating their nutritional potential, which is expected to contribute both to the income diversification of fishers and to the broader goal of sustainable fisheries management [53].
The data were obtained from samples collected and analyzed in 2015, while the subsequent application of multivariate methods (PCA and MANOVA) has provided new insights into winter–spring fatty acid dynamics. The observed patterns remain valid as they are linked to biological and ecological cycles that are consistent across years. A key limitation of this study was the use of only two seasonal sampling points. Future research should include year-round specimen collection to identify periods of peak and low n-3 fatty acid concentrations. This could inform decisions regarding their optimal utilization for human or animal consumption. This approach not only supports sustainable fisheries and circular economy principles but also promotes the valorisation of underutilized species, offering opportunities for income diversification and reduced reliance on traditional fish oil sources.

5. Conclusions

This study provides a comparative assessment of the fat content and the fatty acid composition in six Mediterranean fish species that are of low commercial value and often discarded when undersized. By combining univariate and multivariate analyses, consistent winter–spring differences in lipid profiles were identified, with spring-caught specimens generally showing higher fat levels and a greater proportion of nutritionally important n-3 LC-PUFAs such as EPA and DHA.
While the presence of these fatty acids is not in itself new, the novelty of this work is in the cross-species discard-focused approach and the integration of biochemical data with valorization potential for both aquafeed and processed human food products. This provides an evidence base for the sustainable use of underutilized biomass within the context of the EU Landing Obligation and circular economy strategies.
Future research should include year-round sampling to capture full annual variability and evaluate processing methods that enhance the safety, stability and marketability of these species for diverse end uses.

Author Contributions

Conceptualization, H.M. and A.T.; methodology, H.M. and A.T.; validation, A.T. and H.M.; formal analysis, A.T.; investigation, A.T.; resources, A.T.; writing—original draft preparation, A.T.; writing—review and editing, H.M. and A.T.; visualization, A.T.; supervision, H.M.; project administration, H.M.; funding acquisition, H.M. All authors have read and agreed to the published version of the manuscript.

Funding

The project was financially supported by the European Union and the Hellenic Republic under the Operational Programme “Fisheries 2007–2013” (Project ID: 185362).

Institutional Review Board Statement

The experimental design of our study did not involve the use of live animals reared under laboratory conditions. Only analyses of previously collected specimens were conducted in the laboratory. Therefore, approval from the Bioethics Committee of the Agricultural University of Athens was not required. The specimens were collected at the fishing wharf of Keratsini (Attica region, Greece). They were already dead at the time of collection. Following collection, they were placed in polystyrene boxes with ice and transported to the laboratory for further analysis.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are contained within the article.

Acknowledgments

The authors thank the laboratory staff for their assistance with body measurements and lipid analyses. Preliminary findings of this work were presented as a poster at Aquaculture Europe 2015 (Rotterdam, The Netherlands).

Conflicts of Interest

There are no conflicts of interest.

Abbreviations

The following abbreviations are used in this manuscript:
ANOVAAnalysis of Variance
AOCSAmerican Oil Chemists’ Society
DHADocosahexaenoic Acid
EPAEicosapentaenoic Acid
EUEuropean Union
FAOFood and Agriculture Organization
FAMEFatty Acid Methyl Ester
FIDFlame Ionization Detector
GCGas Chromatography
LC-PUFALong-Chain Polyunsaturated Fatty Acids
MANOVAMultivariate Analysis of Variance
MUFAMonounsaturated Fatty Acids
NDNot Detected (below detection limit)
NSNot Significant
PCAPrincipal Component Analysis
PUFAPolyunsaturated Fatty Acids
SFASaturated Fatty Acids

Appendix A

Table A1. Main prey items of the studied species during winter and spring (based on the literature data).
Table A1. Main prey items of the studied species during winter and spring (based on the literature data).
Species (Scientific Name)Winter Prey ItemsSpring Prey ItemsReferences
European pilchard (Sardina pilchardus)Larvae (<10 mm SL): tintinnid protozoans (e.g., Codonellopsis sp., ~48%), copepod nauplii (~46%). Larger larvae (10–16 mm SL): calanoid copepod post-nauplii (mainly Clausocalanus spp., ~53%), copepod nauplii (~22%), plus cyclopoid and harpacticoid copepods, particulate organic matter, protozoan cystsCopepods (e.g., Clausocalanus, Oncaea, Paracalanus), crustacean larvae, teleost eggs, dinoflagellates (Ceratium, Lingulodinium), tintinnids[54,55,56]
Anchovy (Engraulis encrasicolus)Diets of larvae (<9 mm SL) are dominated by copepod nauplii and tintinnid protozoans, with contributions from appendicularians and small cladocerans. Adults and juveniles feed mainly on copepods (Oncaea mediterranea, O. venusta, Microsetella rosea) and decapod larvae.Larger larvae (>9 mm SL) and juveniles shift towards copepod post-nauplii (e.g., Clausocalanus, Candacia, Temora spp.), cladocerans (Evadne spp.), euphausiids and fish eggs. Seasonal shifts correspond to changes in zooplankton availability and spawning-related energy demands.[56,57,58]
Curled picarel (Centracanthus cirrus)Primarily small zooplankton—mainly copepods—along with occasional mysid shrimps and fish larvae.Diet remains consistent year-round, dominated by copepods, mysids and fish larvae *[59]
Gilt sardine (Sardinella aurita)Primarily zooplanktonic crustaceans (mainly copepods), along with euphausiids, amphipods, decapod larvae, teleost eggs and larvae and siphonophores. Small individuals feed mostly on copepods and other microplankton.Diet shifts to include larger zooplankton such as hyperiid amphipods, mysids, euphausiids, siphonophores and teleost larvae and eggs, while copepods remain important prey. Larvae (<8 mm) feed mainly on copepod nauplii and Evadne spp., whereas larger larvae consume more copepod postnauplii.[34,35]
Horse mackerel (Trachurus mediterraneus)Diet mainly consists of copepods (e.g., Corycaeus sp., Oncaea media, Euterpina acutifrons, Oithona nana), decapod larvae, bivalve larvae and small teleost larvae.Increased consumption of polychaetes (Neanthes fucata, Platynereis dumerilii), decapod larvae, amphipods, isopods and euphausiids, with copepods still dominant. Fish eggs and larvae also contribute during spawning periods.[60,61,62]
Bogue (Boops boops)Omnivorous diet dominated by crustaceans (e.g., copepods), benthic organisms, small mollusks and seagrass fragments.Similar diet with increased occurrence of gelatinous zooplankton (e.g., Pelagia noctiluca), fish larvae and seasonal phytoplankton.[36,37,63]
* Note: The diet of Centracanthus cirrus is less extensively documented compared to other species in this study. The prey composition listed here is based on limited gut-content studies and general observations of small pelagic fish feeding habits.

References

  1. FAO. The State of World Fisheries and Aquaculture 2020. In Sustainability in Action; FAO: Rome, Italy, 2020. [Google Scholar]
  2. FAO. Code of Conduct for Responsible Fisheries; FAO: Rome, Italy, 1995. [Google Scholar]
  3. EU. Regulation (EU) No 1380/2013 of the European Parliament and of the Council of 11 December 2013 on the Common Fisheries Policy, Amending Council Regulations (EC) No 1954/2003 and (EC) No 1224/2009 and Repealing Council Regulations (EC) No 2371/2002 and (EC) No 639/2004 and Council Decision 2004/585/EC. 2013. Available online: https://eur-lex.europa.eu/eli/reg/2013/1380/oj/eng (accessed on 24 August 2025).
  4. Roda, P.; Gilman, E.; Huntington, T.; Kennelly, S.J.; Suuronen, P.; Chaloupka, M.; Medley, P. A Third Assessment of Global Marine Fisheries Discards; FAO: Rome, Italy, 2019. [Google Scholar]
  5. FAO. International Guidelines on Bycatch Management and Reduction of Discards; FAO: Rome, Italy, 2011. [Google Scholar]
  6. Tsagarakis, K.; Palialexis, A.; Vassilopoulou, V. Mediterranean fishery discards: Review of the existing knowledge. ICES J. Mar. Sci. 2014, 71, 1219–1234. [Google Scholar] [CrossRef]
  7. FAO. Monitoring Discards in Mediterranean and Black Sea Fisheries: Methodology for Data Collection; FAO Fsheries and Aquaculture Technical Paper No. 639; FAO: Rome, Italy, 2019. [Google Scholar]
  8. Roussos, E.; Triantaphyllidis, G.; Ilia, V.; Tsagarakis, K.; Machias, A.; Tziveleka, L.A.; Roussis, V.; Ioannou, E.; Kotzamanis, Y. Status of Fishery Discards and By-Products in Greece and Potential Valorization Scenarios towards a National Exploitation Master Plan. Mar. Drugs 2024, 22, 264. [Google Scholar] [CrossRef] [PubMed]
  9. Mutalipassi, M.; Esposito, R.; Ruocco, N.; Viel, T.; Costantini, M.; Zupo, V. Bioactive Compounds of Nutraceutical Value from Fishery and Aquaculture Discards. Foods 2021, 10, 1495. [Google Scholar] [CrossRef] [PubMed]
  10. Vázquez, J.A.; Fernández-Compás, A.; Blanco, M.; Rodríguez-Amado, I.; Moreno, H.; Borderías, J.; Pérez-Martín, R.I. Development of bioprocesses for the integral valorisation of fish discards. Biochem. Eng. J. 2019, 144, 198–208. [Google Scholar] [CrossRef]
  11. Nag, M.; Lahiri, D.; Dey, A.; Sarkar, T.; Pati, S.; Joshi, S.; Bunawan, H.; Mohammed, A.; Edinur, H.A.; Ghosh, S.; et al. Seafood Discards: A Potent Source of Enzymes and Biomacromolecules With Nutritional and Nutraceutical Significance. Front. Nutr. 2022, 9, 879929. [Google Scholar] [CrossRef]
  12. Calder, P.C. Very long-chain n-3 fatty acids and human health: Fact, fiction and the future. Proc. Nutr. Soc. 2018, 77, 52–72. [Google Scholar] [CrossRef]
  13. Simopoulos, A.P. Essential fatty acids in health and chronic disease. Am. J. Clin. Nutr. 1999, 70, 560s–569s. [Google Scholar] [CrossRef]
  14. Shepherd, J.; Bachis, E. Changing Supply and Demand for Fish Oil. Aquac. Econ. Manag. 2014, 18, 395–416. [Google Scholar] [CrossRef]
  15. FAO. The State of World Fisheries and Aquaculture 2024. In Blue Transformation in Action; FAO: Rome, Italy, 2024. [Google Scholar]
  16. Ozogul, Y.; Polat, A.; Uçak, İ.; Ozogul, F. Seasonal fat and fatty acids variations of seven marine fish species from the Mediterranean Sea. Eur. J. Lipid Sci. Technol. 2011, 113, 1491–1498. [Google Scholar] [CrossRef]
  17. Bandarra, N.M.; Batista, I.; Nunes, M.L.; Empis, J.M.; Christie, W.W. Seasonal Changes in Lipid Composition of Sardine (Sardina pilchardus). J. Food Sci. 1997, 62, 40–42. [Google Scholar] [CrossRef]
  18. Ben Rebah, F.; Abdelmouleh, A.; Kammoun, W.; Yezza, A. Seasonal variation of lipid content and fatty acid composition of Sardinella aurita from the Tunisian coast. J. Mar. Biol. Assoc. United Kingd. 2009, 90, 569–573. [Google Scholar] [CrossRef]
  19. Zlatanos, S.; Laskaridis, K. Seasonal variation in the fatty acid composition of three Mediterranean fish—sardine (Sardina pilchardus), anchovy (Engraulis encrasicholus) and picarel (Spicara smaris). Food Chem. 2007, 103, 725–728. [Google Scholar] [CrossRef]
  20. Bariche, M. Field Identification Guide to the Living Marine Resources of the Eastern and Southern Mediterranean; FAO: Rome, Italy, 2012. [Google Scholar]
  21. Folch, J.; Lees, M.; Sloane-Stanley, G. A simple method for the isolation and purification of total lipids from animal tissues. J. Biol. Chem. 1957, 226, 497–509. [Google Scholar] [CrossRef] [PubMed]
  22. Christie, W.W. Preparation of ester derivatives of fatty acids for chromatographic analysis. Adv. Lipid Methodol. 1993, 2, 69–111. [Google Scholar]
  23. García-Moreno, P.J.; Pérez-Gálvez, R.; Morales-Medina, R.; Guadix, A.; Guadix, E.M. Discarded species in the west Mediterranean sea as sources of omega-3 PUFA. Eur. J. Lipid Sci. Technol. 2013, 115, 982–989. [Google Scholar] [CrossRef]
  24. Suárez, M.D.; Sáez, M.I.; Rincón Cervera, M.Á.; Hidalgo, L.; Guil-Guerrero, J.L. Discarded fish on the Spanish Mediterranean coast: Influence of season on fatty acids profiles. Mediterr. Mar. Sci. 2021, 22, 232–245. [Google Scholar] [CrossRef]
  25. Sargent, J.; Tocher, D.; Bell, J. The lipids. In Fish Nutrition, 3rd ed.; Halver, J., Hardy, R., Eds.; Academic Press: San Diego, CA, USA, 2002; pp. 181–257. [Google Scholar]
  26. Tocher, D.R. Metabolism and functions of lipids and fatty acids in teleost fish. Rev. Fish. Sci. 2003, 11, 107–184. [Google Scholar] [CrossRef]
  27. Kaur, G.; Cameron-Smith, D.; Garg, M.; Sinclair, A.J. Docosapentaenoic acid (22:5n-3): A review of its biological effects. Prog. Lipid Res. 2011, 50, 28–34. [Google Scholar] [CrossRef]
  28. Vila-Belmonte, M.A.R.; Bou, R.; Lloret, E.; Lloret, J. Fatty acid content and profile of round sardinella (Sardinella aurita), an expanding thermophilic species in the NW Mediterranean. Mediterr. Mar. Sci. 2024, 25, 300–310. [Google Scholar] [CrossRef]
  29. Biton-Porsmoguer, S.; Bou, R.; Lloret, E.; Alcaide, M.; Lloret, J. Fatty acid composition and parasitism of European sardine (Sardina pilchardus) and anchovy (Engraulis encrasicolus) populations in the northern Catalan Sea in the context of changing environmental conditions. Conserv. Physiol. 2020, 8, coaa121. [Google Scholar] [CrossRef]
  30. Muns-Pujadas, L.; Constenla, M.; Dallarés, S.; Soler-Membrives, A.; Padrós, F.; Sala, R. The round sardinella (Sardinella aurita Valenciennes, 1847) from the NW Mediterranean: A healthy and safe choice for human consumption. Mediterr. Mar. Sci. 2025, 26, 16–29. [Google Scholar] [CrossRef]
  31. Ucar, Y. Elemental Compositions and Fatty Acid Profiles of Bogue Fish (Boops boops) From Mediterranean Coast: A Comprehensive Evaluation of the Potential Effects on Human Health. Biol. Trace Elem. Res. 2020, 196, 272–284. [Google Scholar] [CrossRef]
  32. Orban, E.; Di Lena, G.; Nevigato, T.; Masci, M.; Casini, I.; Caproni, R. Proximate, unsaponifiable lipid and fatty acid composition of bogue (Boops boops) and horse mackerel (Trachurus trachurus) from the Italian trawl fishery. J. Food Compos. Anal. 2011, 24, 1110–1116. [Google Scholar] [CrossRef]
  33. Koca, H.U.; Sürengil, G.; Aktaş, Ö.; Pak, F.; Koca, S.B. Seasonal and Reproductive Period Changes in Nutrient composition of Nemipterus randalli (Russell, 1986) and Boops boops (Linnaeus, 1758) from Northwest Mediterranean, Türkiye. Acta Aquat. Turc. 2025, 21, 1–14. [Google Scholar] [CrossRef]
  34. Lomiri, S.; Scacco, U.; Mostarda, E.; Andaloro, F. Size-related and temporal variation in the diet of the round sardinella, Sardinella aurita (Valenciennes, 1847), in the central Mediterranean Sea. J. Appl. Ichthyol. 2008, 24, 539–545. [Google Scholar] [CrossRef]
  35. Morote, E.; Olivar, M.P.; Villate, F.; Uriarte, I. Diet of round sardinella, Sardinella aurita, larvae in relation to plankton availability in the NW Mediterranean. J. Plankton Res. 2008, 30, 807–816. [Google Scholar] [CrossRef]
  36. Dobroslavić, T.; Zlatović, A.; Bartulović, V.; Lučić, D.; Glamuzina, B. Diet overlap of juvenile salema (Sarpa salpa), bogue (Boops boops) and common two-banded sea bream (Diplodus vulgaris) in the south-eastern Adriatic. J. Appl. Ichthyol. 2013, 29, 181–185. [Google Scholar] [CrossRef]
  37. Milisenda, G.; Rosa, S.; Fuentes, V.L.; Boero, F.; Guglielmo, L.; Purcell, J.E.; Piraino, S. Jellyfish as prey: Frequency of predation and selective foraging of Boops boops (Vertebrata, Actinopterygii) on the mauve stinger Pelagia noctiluca (Cnidaria, Scyphozoa). PLoS ONE 2014, 9, e94600. [Google Scholar] [CrossRef]
  38. Giogios, I.; Grigorakis, K.; Nengas, I.; Papasolomontos, S.; Papaioannou, N.; Alexis, M.N. Fatty acid composition and volatile compounds of selected marine oils and meals. J. Sci. Food Agric. 2008, 89, 88–100. [Google Scholar] [CrossRef]
  39. Karsli, B. Comparative analysis of the fatty acid composition of commercially available fish oil supplements in Turkey: Public health risks and benefits. J. Food Compos. Anal. 2021, 103, 104105. [Google Scholar] [CrossRef]
  40. Simopoulos, A.P.; DiNicolantonio, J.J. The importance of a balanced omega-6 to omega-3 ratio in the prevention and management of obesity. Open Heart 2016, 3, e000385. [Google Scholar] [CrossRef]
  41. Hao, L.; Chen, C.Y.; Nie, Y.H.; Kaliannan, K.; Kang, J.X. Differential Interventional Effects of Omega-6 and Omega-3 Polyunsaturated Fatty Acids on High Fat Diet-Induced Obesity and Hepatic Pathology. Int. J. Mol. Sci. 2023, 24, 17261. [Google Scholar] [CrossRef]
  42. Bishehkolaei, M.; Pathak, Y. Influence of omega n-6/n-3 ratio on cardiovascular disease and nutritional interventions. Hum. Nutr. Metab. 2024, 37, 200275. [Google Scholar] [CrossRef]
  43. Jolliffe, I.T.; Cadima, J. Principal component analysis: A review and recent developments. Philos. Trans. R. Soc. A Math. Phys. Eng. Sci. 2016, 374, 20150202. [Google Scholar] [CrossRef] [PubMed]
  44. Legendre, P.; Legendre, L. Complex ecological data sets. In Numerical Ecology; Developments in Environmental Modelling; Elsevier: Amsterdam, The Netherlands, 2012; pp. 1–57. [Google Scholar]
  45. Graeve, M.; Greenacre, M.J. The selection and analysis of fatty acid ratios: A new approach for the univariate and multivariate analysis of fatty acid trophic markers in marine pelagic organisms. Limnol. Oceanogr. Methods 2020, 18, 196–210. [Google Scholar] [CrossRef]
  46. Parrish, C.C. Lipids in Marine Ecosystems. ISRN Oceanogr. 2013, 2013, 1–16. [Google Scholar] [CrossRef]
  47. Sánchez-García, A.B.; Zárate-Santana, Z.; Patino-Alonso, C. A Multivariate Analysis with MANOVA-Biplot of Learning Approaches in Health Science Students. Soc. Sci. 2025, 14, 403. [Google Scholar] [CrossRef]
  48. Marino, R.; Albenzio, M.; Della Malva, A.; Racioppo, A.; Speranza, B.; Bevilacqua, A. Valorization of fish from the Adriatic Sea: Nutritional properties and shelf life prolongation of Aphia minuta through essential oils. Front. Nutr. 2024, 11, 1454228. [Google Scholar] [CrossRef]
  49. Tacon, A.G.J.; Metian, M. Global overview on the use of fish meal and fish oil in industrially compounded aquafeeds: Trends and future prospects. Aquaculture 2008, 285, 146–158. [Google Scholar] [CrossRef]
  50. Caruso, G.; Floris, R.; Serangeli, C.; Di Paola, L. Fishery Wastes as a Yet Undiscovered Treasure from the Sea: Biomolecules Sources, Extraction Methods and Valorization. Mar. Drugs 2020, 18, 622. [Google Scholar] [CrossRef]
  51. Pérez-Martín, R.I.; Antelo, L.T.; Vázquez, J.A.; Mirón, J. An on-land management and valorisation approach for biomass associated with landing obligation compliance. Mar. Policy 2020, 116, 103506. [Google Scholar] [CrossRef]
  52. Herceg Romanić, S.; Jovanović, G.; Mustać, B.; Stojanović-Đinović, J.; Stojić, A.; Čadež, T.; Popović, A. Fatty acids, persistent organic pollutants, and trace elements in small pelagic fish from the eastern Mediterranean Sea. Mar. Pollut. Bull. 2021, 170, 112654. [Google Scholar] [CrossRef] [PubMed]
  53. Teixeira, C.M.; Coelho, M.P.; Gil, M.M.; Pita, C.; Silva, P.M. Changing the way we look to fisheries’ discards. Reg. Stud. Mar. Sci. 2024, 71, 103434. [Google Scholar] [CrossRef]
  54. Borme, D.; Legovini, S.; de Olazabal, A.; Tirelli, V. Diet of Adult Sardine Sardina pilchardus in the Gulf of Trieste, Northern Adriatic Sea. J. Mar. Sci. Eng. 2022, 10, 1012. [Google Scholar] [CrossRef]
  55. Chen, C.-T.; Carlotti, F.; Harmelin-Vivien, M.; Guilloux, L.; Bănaru, D. Temporal variation in prey selection by adult European sardine (Sardina pilchardus) in the NW Mediterranean Sea. Prog. Oceanogr. 2021, 196, 102617. [Google Scholar] [CrossRef]
  56. Morote, E.; Olivar, M.P.; Villate, F.; Uriarte, I. A comparison of anchovy (Engraulis encrasicolus) and sardine (Sardina pilchardus) larvae feeding in the Northwest Mediterranean: Influence of prey availability and ontogeny. ICES J. Mar. Sci. 2010, 67, 897–908. [Google Scholar] [CrossRef]
  57. Bacha, M.; Amara, R. Spatial, temporal and ontogenetic variation in diet of anchovy (Engraulis encrasicolus) on the Algerian coast (SW Mediterranean). Estuar. Coast. Shelf Sci. 2009, 85, 257–264. [Google Scholar] [CrossRef]
  58. Costalago, D.; Palomera, I.; Tirelli, V. Seasonal comparison of the diets of juvenile European anchovy Engraulis encrasicolus and sardine Sardina pilchardus in the Gulf of Lions. J. Sea Res. 2014, 89, 64–72. [Google Scholar] [CrossRef]
  59. Petrova, T.N.; Koulish, A.V.; Klimova, T.N. On the Reproduction of the Curled Picarel Centracanthus cirrus (Sparidae) in the Black Sea. J. Ichthyol. 2025, 65, 164–168. [Google Scholar] [CrossRef]
  60. Bayhan, B.; Sever, T.M.; Kara, A. Diet composition of the Mediterranean horse mackerel, Trachurus mediterraneus (Steindachner, 1868) (Osteichthyes: Carangidae), from the Aegean Sea. Belg. J. Zool. 2013, 143, 15–22. [Google Scholar] [CrossRef]
  61. Georgieva, Y.G.; Daskalov, G.M.; Klayn, S.L.; Stefanova, K.B.; Stefanova, E.S. Seasonal diet and feeding strategy of horse mackerel Trachurus mediterraneus (Steindachner, 1868) (Perciformes: Carangidae) in the South-Western Black Sea. Acta Zool. Bulg. 2019, 71, 201–210. [Google Scholar]
  62. Koç, H.T.; Erdoğan, Z. Feeding Habits of the Mediterranean Horse Mackerel. Nat. Eng. Sci. 2019, 4, 182–193. [Google Scholar] [CrossRef]
  63. El-Maremie, H.; El-Mor, M. Feeding Habits of the Bogue, Boops boops (Linnaeus, 1758) (Teleostei: Sparidae) in Benghazi Coast, Eastern Libya. J. Life Sci. 2015, 9, 189–196. [Google Scholar] [CrossRef]
Figure 1. Principal component biplot of fatty acid profiles in six species from the Aegean Sea, showing PC1 vs. PC2 scores and variable loadings.
Figure 1. Principal component biplot of fatty acid profiles in six species from the Aegean Sea, showing PC1 vs. PC2 scores and variable loadings.
Fishes 10 00454 g001
Figure 2. Heatmap visualization of p-values from univariate ANOVA tests (extracted from MANOVA results), assessing the effects of species, season and their interaction on selected fatty acids. Darker colors indicate stronger statistical significance. Significance threshold set at p < 0.05.
Figure 2. Heatmap visualization of p-values from univariate ANOVA tests (extracted from MANOVA results), assessing the effects of species, season and their interaction on selected fatty acids. Darker colors indicate stronger statistical significance. Significance threshold set at p < 0.05.
Fishes 10 00454 g002
Table 1. Crude lipid content (% wet weight ± standard deviation, n = 3 analytical replicates) of specimens collected during winter and spring.
Table 1. Crude lipid content (% wet weight ± standard deviation, n = 3 analytical replicates) of specimens collected during winter and spring.
Winter Springp
Sardina pilchardus4.0 ± 0.0811.0 ± 0.23***
Engraulis encrasicolus2.0 ± 0.112.5 ± 0.13*
Centracanthus cirrus1.7 ± 0.097.2 ± 0.10*
Saridenella aurita5.5 ± 0.295.2 ± 0.11NS
Trachurus mediterraneus2.9 ± 0.135.6 ± 0.33***
Boops boops1.9 ± 0.078.4 ± 0.23***
(NS: not significant; *: p < 0.05; ***: p < 0.001).
Table 2. Selected dietary fatty acid profile (% total identified fatty acids ± standard deviation, n = 3 analytical replicates) of European pilchard (Sardina pilchardus), anchovy (Engraulis encrasicolus), curled picarel (Centracanthus cirrus) specimens collected during winter and spring.
Table 2. Selected dietary fatty acid profile (% total identified fatty acids ± standard deviation, n = 3 analytical replicates) of European pilchard (Sardina pilchardus), anchovy (Engraulis encrasicolus), curled picarel (Centracanthus cirrus) specimens collected during winter and spring.
Sardina pilchardusEngraulis encrasicolusCentracanthus cirrus
WinterSpringpWinterSpringpWinterSpringp
14:05.69 ± 0.3165.99 ± 0.055NS2.77 ± 0.1293.32 ± 0.122**3.23 ± 0.2333.10 ± 0.151NS
16:018.49 ± 0.74216.99 ± 0.251*22.58 ± 0.56021.77 ± 1.059NS19.30 ± 0.51821.50 ± 0.648*
16:1n-77.32 ± 0.2496.54 ± 0.131**3.51 ± 0.1203.33 ± 0.116NS3.81 ± 0.1454.71 ± 0.123**
17:00.83 ± 0.0140.54 ± 0.014***0.00 ± 0.0000.45 ± 0.022***0.31 ± 0.0050.16 ± 0.016***
18:04.00 ± 0.3223.58 ± 0.097NS5.71 ± 0.3165.17 ± 0.150NS6.88 ± 0.2295.82 ± 0.332*
18:1n-95.20 ± 0.2488.06 ± 0.065***7.65 ± 0.0657.45 ± 0.406NS8.45 ± 0.16116.38 ± 0.521***
18:1n-72.78 ± 0.1302.12 ± 0.008**2.76 ± 0.0702.41 ± 0.126*2.10 ± 0.0212.49 ± 0.071**
18:2n-60.98 ± 0.0211.25 ± 0.023***1.37 ± 0.0671.88 ± 0.094**1.73 ± 0.0191.06 ± 0.027***
18:3n-30.64 ± 0.0001.10 ± 0.024***0.97 ± 0.0151.77 ± 0.068***1.11 ± 0.0490.74 ± 0.015***
18:4n-32.08 ± 0.0513.28 ± 0.082***2.16 ± 0.0292.49 ± 0.137*1.63 ± 0.2000.77 ± 0.021**
20:00.32 ± 0.0080.48 ± 0.013***0.58 ± 0.0850.66 ± 0.053NS0.99 ± 0.0700.23 ± 0.019***
20:1n-11 + 20:1n-95.62 ± 0.4485.31 ± 0.271NS0.69 ± 0.0501.13 ± 0.310NS1.20 ± 0.1721.91 ± 0.091**
20:2n-60.08 ± 0.0320.00 ± 0.000*NDNDNS0.00 ± 0.0000.06 ± 0.002***
20:4n-60.21 ± 0.1080.24 ± 0.022NSNDNDNS0.00 ± 0.0000.04 ± 0.003***
20:4n-31.02 ± 0.3620.47 ± 0.023NS1.30 ± 0.0810.79 ± 0.062**1.50 ± 0.0420.93 ± 0.105**
20:5n-37.95 ± 0.2137.17 ± 0.094**8.03 ± 0.2947.09 ± 0.306*6.54 ± 0.0515.39 ± 0.288**
22:1n-117.23 ± 0.8665.95 ± 0.401NS0.35 ± 0.0700.85 ± 0.032***0.18 ± 0.0240.24 ± 0.012*
22:1n-90.38 ± 0.0250.40 ± 0.003NS0.21 ± 0.0580.22 ± 0.045NS0.25 ± 0.0170.24 ± 0.036NS
22:5n-31.31 ± 0.1601.62 ± 0.244NS1.22 ± 0.1441.24 ± 0.411NS1.18 ± 0.0422.54 ± 0.301**
22:6n-313.59 ± 0.95416.06 ± 0.193*20.36 ± 0.99023.41 ± 1.154*22.03 ± 0.21818.37 ± 1.105**
24:1n-91.47 ± 0.1441.45 ± 0.126NS1.71 ± 0.0252.35 ± 0.563NS2.33 ± 0.0401.84 ± 0.329NS
SFA29.33 ± 1.29427.57 ± 0.304NS31.64 ± 0.92931.36 ± 1.321NS30.71 ± 0.88330.80 ± 1.028NS
MUFA30.01 ± 1.60629.82 ± 0.669NS16.88 ± 0.04617.73 ± 0.583NS18.31 ± 0.23127.80 ± 0.929***
Σn-326.59 ± 1.58929.68 ± 0.188*34.04 ± 1.39136.80 ± 1.332NS33.98 ± 0.45828.74 ± 1.384**
Σn-3 LC PUFA23.87 ± 1.55825.31 ± 0.293NS30.91 ± 1.38632.53 ± 1.173NS31.24 ± 0.23027.23 ± 1.349**
Σn-61.27 ± 0.1521.49 ± 0.017NS1.37 ± 0.0671.88 ± 0.094**1.73 ± 0.0191.16 ± 0.031***
EPA + DHA21.54 ± 1.16623.23 ± 0.197NS28.39 ± 1.28130.51 ± 1.452NS28.56 ± 0.22623.75 ± 1.383**
SFA/MUFA0.98 ± 0.0380.92 ± 0.030NS1.87 ± 0.0521.77 ± 0.054NS1.68 ± 0.0331.18 ± 0.164**
Σn-3/Σn-620.95 + 1.21519.92 + 0.355NS24.84 + 0.20519.54 + 0.710***19.70 + 0.45924.87 + 0.902**
LC PUFA: long-chain polyunsaturated fatty acids; SFA: saturated fatty acids; MUFA: monounsaturated fatty acids. (ND: Not Detected (below instrument detection limit); NS: not significant; *: p < 0.05; **: p < 0.01; ***: p < 0.001).
Table 3. Selected dietary fatty acid profile (% total identified fatty acids ± standard deviation, n = 3 analytical replicates) of gilt sardine (Saridenella aurita), horse mackerel (Trachurus mediterraneus) and bogue (Boops boops) specimens collected during winter and spring.
Table 3. Selected dietary fatty acid profile (% total identified fatty acids ± standard deviation, n = 3 analytical replicates) of gilt sardine (Saridenella aurita), horse mackerel (Trachurus mediterraneus) and bogue (Boops boops) specimens collected during winter and spring.
Saridenella auritaTrachurus mediterraneusBoops boops
WinterSpringpWinterSpringpWinterSpringp
14:06.84 ± 0.1174.96 ± 0.238***3.70 ± 0.0723.04 ± 0.061***5.69 ± 0.0865.54 ± 0.156NS
16:021.17 ± 0.91119.98 ± 0.758NS19.56 ± 0.39720.44 ± 0.227*20.23 ± 0.16921.92 ± 0.262**
16:1n-76.02 ± 0.0355.02 ± 0.223**5.65 ± 0.1824.92 ± 0.148**7.32 ± 0.1556.97 ± 0.080*
17:00.54 ± 0.0140.36 ± 0.009***0.23 ± 0.0500.13 ± 0.031NS0.26 ± 0.0250.19 ± 0.014*
18:05.51 ± 0.2755.13 ± 0.178NS6.05 ± 0.1786.68 ± 0.280*7.10 ± 0.1826.96 ± 0.162NS
18:1n-96.53 ± 0.2446.99 ± 0.437NS19.72 ± 0.25519.70 ± 0.858NS16.33 ± 0.12516.56 ± 0.042*
18:1n-72.60 ± 0.0622.43 ± 0.081*2.77 ± 0.1052.92 ± 0.020NS3.28 ± 0.0873.20 ± 0.018NS
18:2n-61.86 ± 0.1191.58 ± 0.046*1.19 ± 0.0171.24 ± 0.023*1.24 ± 0.0461.19 ± 0.033NS
18:3n-31.14 ± 0.0151.05 ± 0.052*0.87 ± 0.0530.80 ± 0.022NS0.89 ± 0.0060.80 ± 0.008***
18:4n-31.82 ± 0.0381.64 ± 0.070*0.98 ± 0.0260.96 ± 0.056NS1.10 ± 0.1011.08 ± 0.034NS
20:00.71 ± 0.1350.34 ± 0.013**0.34 ± 0.0120.35 ± 0.025NS0.54 ± 0.0250.48 ± 0.050NS
20:1n-11 + 20:1n-90.70 ± 0.0400.64 ± 0.085NS2.28 ± 0.0602.00 ± 0.103*1.82 ± 0.0511.65 ± 0.079*
20:2n-60.07 ± 0.029ND*0.00 ± 0.0000.02 ± 0.029NS0.00 ± 0.0000.02 ± 0.040NS
20:4n-60.08 ± 0.049ND*0.00 ± 0.0000.06 ± 0.048NS0.00 ± 0.0000.01 ± 0.024NS
20:4n-31.74 ± 0.0591.39 ± 0.021**1.70 ± 0.0461.34 ± 0.074**1.61 ± 0.0401.41 ± 0.055**
20:5n-39.82 ± 0.4619.81 ± 0.364NS5.57 ± 0.2005.20 ± 0.177NS5.18 ± 0.0454.86 ± 0.254NS
22:1n-110.09 ± 0.0240.36 ± 0.149*0.58 ± 0.0930.81 ± 0.029*0.19 ± 0.0150.22 ± 0.021NS
22:1n-90.24 ± 0.0120.20 ± 0.023NS0.33 ± 0.0150.34 ± 0.010NS0.43 ± 0.0470.45 ± 0.025NS
22:5n-31.56 ± 0.7752.23 ± 0.759NS2.04 ± 0.0712.15 ± 0.152NS1.93 ± 0.0552.16 ± 0.325NS
22:6n-316.48 ± 1.32422.10 ± 0.488**13.71 ± 0.39215.65 ± 0.461**10.04 ± 0.06710.72 ± 0.549NS
24:1n-91.21 ± 0.5041.57 ± 0.543NS1.01 ± 0.0351.22 ± 0.068**0.80 ± 0.0350.89 ± 0.029*
SFA34.77 ± 1.09630.77 ± 1.108*29.87 ± 0.49930.66 ± 0.170NS33.81 ± 0.26535.08 ± 0.533*
MUFA17.39 ± 0.49517.21 ± 0.525NS32.33 ± 0.31931.92 ± 1.050NS30.18 ± 0.19629.94 ± 0.245NS
Σn-332.55 ± 1.38638.22 ± 0.895**24.87 ± 0.12126.10 ± 0.870NS20.75 ± 0.28221.04 ± 0.575NS
Σn-3 LC PUFA29.60 ± 1.34235.53 ± 1.014**23.02 ± 0.19624.34 ± 0.800NS18.76 ± 0.18719.15 ± 0.589NS
Σn-62.01 ± 0.0411.58 ± 0.046***1.19 ± 0.0171.32 ± 0.046*1.24 ± 0.0461.23 ± 0.082NS
EPA + DHA26.30 ± 1.76631.91 ± 0.379**19.28 ± 0.23820.85 ± 0.635*15.21 ± 0.09315.58 ± 0.801NS
SFA/MUFA2.00 ± 0.0881.79 ± 0.069*0.92 ± 0.0140.96 ± 0.027NS1.12 ± 0.0071.17 ± 0.017**
Σn-3/Σn-616.16 + 0.67924.14 + 1.221**20.91 + 0.38819.85 + 1.134NS16.74 + 0.40217.16 + 1.419NS
LC PUFA: long-chain polyunsaturated fatty acids; SFA: saturated fatty acids; MUFA: monounsaturated fatty acids. (ND: Not Detected (below instrument detection limit); NS: not significant; *: p < 0.05; **: p < 0.01; ***: p < 0.001).
Table 4. Summary of PCA and t-test agreement by species.
Table 4. Summary of PCA and t-test agreement by species.
SpeciesPCA Separation (Winter vs. Spring)t-Test SupportInterpretation
Sardina pilchardusClear (PC1)StrongPronounced winter–spring variation
Engraulis encrasicolusModeratePartialDirectional winter–spring trend, less robust
Centracanthus cirrusClear, opposite shiftStrongUnique winter–spring dynamics
Sardinella auritaNoneWeak/NoneStable fatty acid profile
Trachurus mediterraneusClear (PC1)StrongStrong winter–spring variation
Boops boopsOverlappingWeak/NoneMinimal winter–spring difference
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Tsopelakos, A.; Miliou, H. Lipid and Fatty Acid Composition of Low-Value Mediterranean Fish in Winter and Spring for Discard Valorization. Fishes 2025, 10, 454. https://doi.org/10.3390/fishes10090454

AMA Style

Tsopelakos A, Miliou H. Lipid and Fatty Acid Composition of Low-Value Mediterranean Fish in Winter and Spring for Discard Valorization. Fishes. 2025; 10(9):454. https://doi.org/10.3390/fishes10090454

Chicago/Turabian Style

Tsopelakos, Aristeidis, and Helen Miliou. 2025. "Lipid and Fatty Acid Composition of Low-Value Mediterranean Fish in Winter and Spring for Discard Valorization" Fishes 10, no. 9: 454. https://doi.org/10.3390/fishes10090454

APA Style

Tsopelakos, A., & Miliou, H. (2025). Lipid and Fatty Acid Composition of Low-Value Mediterranean Fish in Winter and Spring for Discard Valorization. Fishes, 10(9), 454. https://doi.org/10.3390/fishes10090454

Article Metrics

Back to TopTop