Abstract
The last decade has witnessed a steady transition from the linear economic model to a restorative system that drives substantial and lasting improvements of the global resource productivity. In this scenario, the blue economy encompasses all industries and sectors related to oceans, seas and coasts. The blue economy model promotes a series of actions towards sustainability, which include minimization of food waste production through the re-utilization of the marine by-products. Within the food chain, the large amount of waste generated by the tuna fishery industry represents a rich pool of bioactive molecules, including polyunsaturated fatty acids, vitamins, amino acids (AAs) and peptides. Specifically, small- and medium-size peptides are emerging as a more convenient alternative to conventional antibiotic agents, against a variety of bacteria, fungi and viruses. This study focused on the retrieval of the protein fractions contained in the discards from the yellowfin tuna (Thunnus albacares) cannery industry. Protein hydrolysates obtained by enzymatic digestion were characterized by a peptidomic strategy based on reversed-phase ultra-high–pressure liquid chromatography followed by quadrupole-time-of-flight tandem mass spectrometry detection (data dependent analysis). A total of 196 AAs sequences were identified by matching MASCOT database, and their activity was predicted by support vector machine–based computational tools. As a result, significant antimicrobial scores were obtained for 22% of the identified peptides. Specifically, antibacterial, antifungal and antiviral properties were predicted based on compositional features (pseudo AA compositions and normalized AA compositions) and physicochemical properties (isoelectric point, hydrophobicity and net-charge).
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All data generated or analysed during this study are included in this published article and its supplementary information files.
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Acknowledgements
The authors gratefully acknowledge the continuous support from Waters and Merck Life Science.
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This study was supported by Bando “HORIZON 2020” PON I&C 2014–2020, project number F/050347/01–03/X32.
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T.M.G.: data curation, formal analysis, investigation, writing — original draft; C.C.: data curation, investigation, visualization, writing — original draft; P.A.: data curation, investigation, visualization; A.A.: data curation, writing — original draft; A.C.: data curation, formal analysis; A.L.C.: data curation, formal analysis; F.R.: conceptualization, writing — review and editing; P.D.: conceptualization, data curation, writing — review and editing; A.M.: data curation, investigation, visualization; L.M.: funding resources, project administration, supervision.
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Tania Maria Grazia Salerno declares that she has no conflict of interest. Carmelo Coppolino declares that he has no conflict of interest. Paola Arena declares that she has no conflict of interest. Ahmed Aichouni declares that he has no conflict of interest. Andrea Cerrato declares that he has no conflict of interest. Anna Laura Capriotti declares that she has no conflict of interest. Francesca Rigano declares that she has no conflict of interest. Danilo Donnarumma declares that he has no conflict of interest. Paola Donato declares that she has no conflict of interest. Alice Mondello declares that she has no conflict of interest. Luigi Mondello declares that he has no conflict of interest.
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Salerno, T.M.G., Coppolino, C., Arena, P. et al. Circular Economy in the Food Chain: Retrieval and Characterization of Antimicrobial Peptides from Fish Waste Hydrolysates. Food Anal. Methods 17, 178–199 (2024). https://doi.org/10.1007/s12161-023-02543-z
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DOI: https://doi.org/10.1007/s12161-023-02543-z