Joana Filipa Furtado Goulart, Alexandre Correia Pereira, António Manuel Barros Marques, Inês do Carmo Alves Martins
{"title":"Nutritional value of seven demersal fish species from the North Atlantic Azores archipelago.","authors":"Joana Filipa Furtado Goulart, Alexandre Correia Pereira, António Manuel Barros Marques, Inês do Carmo Alves Martins","doi":"10.1016/j.fochx.2024.102046","DOIUrl":null,"url":null,"abstract":"<p><p>Valorization of azorean demersal fish species must focus quality. This study aims to assess the nutritional value, sodium content and fat quality index of seven commercially relevant demersal fish species from the Azores Region: blackspot seabream (<i>Pagellus bogaraveo</i>), blackbelly rosefish (<i>Helicolenus dactylopterus</i>), splendid alfonsino (<i>Beryx splendens</i>), alfonsino (<i>Beryx decadactylus</i>), forkbeard (<i>Phycis phycis</i>), offshore rockfish (<i>Pontinus kuhlii</i>) and common mora (<i>Mora moro</i>). Moisture, ash, crude protein, total sugars, total fat, fatty acid profile, sodium and salt content were assessed. B. splendends, <i>P. kuhlii</i> and <i>P. bogaraveo</i> presented the highest values for crude protein, while <i>P. kuhlii</i> and <i>B. decadactylus</i> presented the biggest value for crude fat. All species were classified as lean. Sodium and salt contents were higher in <i>H. dactylopterus</i>. This study showed the high nutritional value presented in azorean demersal fish species. Nevertheless, <i>B. splendens</i>, <i>H. dactylopterus</i>, <i>P. kuhlii</i> and <i>B. decadactylus</i> revealed higher values of lipid quality indices.</p>","PeriodicalId":12334,"journal":{"name":"Food Chemistry: X","volume":"24 ","pages":"102046"},"PeriodicalIF":6.5000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11650131/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Chemistry: X","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1016/j.fochx.2024.102046","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/12/30 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Valorization of azorean demersal fish species must focus quality. This study aims to assess the nutritional value, sodium content and fat quality index of seven commercially relevant demersal fish species from the Azores Region: blackspot seabream (Pagellus bogaraveo), blackbelly rosefish (Helicolenus dactylopterus), splendid alfonsino (Beryx splendens), alfonsino (Beryx decadactylus), forkbeard (Phycis phycis), offshore rockfish (Pontinus kuhlii) and common mora (Mora moro). Moisture, ash, crude protein, total sugars, total fat, fatty acid profile, sodium and salt content were assessed. B. splendends, P. kuhlii and P. bogaraveo presented the highest values for crude protein, while P. kuhlii and B. decadactylus presented the biggest value for crude fat. All species were classified as lean. Sodium and salt contents were higher in H. dactylopterus. This study showed the high nutritional value presented in azorean demersal fish species. Nevertheless, B. splendens, H. dactylopterus, P. kuhlii and B. decadactylus revealed higher values of lipid quality indices.
期刊介绍:
Food Chemistry: X, one of three Open Access companion journals to Food Chemistry, follows the same aims, scope, and peer-review process. It focuses on papers advancing food and biochemistry or analytical methods, prioritizing research novelty. Manuscript evaluation considers novelty, scientific rigor, field advancement, and reader interest. Excluded are studies on food molecular sciences or disease cure/prevention. Topics include food component chemistry, bioactives, processing effects, additives, contaminants, and analytical methods. The journal welcome Analytical Papers addressing food microbiology, sensory aspects, and more, emphasizing new methods with robust validation and applicability to diverse foods or regions.