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GC-MS comparison of fatty acids profile of oils extracted from viscera of Tainha (Mugil liza) and Tambaqui (Colossoma macropomum).
Costa, Geovanna de Oliveira; Tavares Germano, Amanda; Bretanha, Lizandra Czermainski; Micke, Gustavo Amadeu; Siwe-Noundou, Xavier; Sandjo, Louis Pergaud.
Afiliação
  • Costa GO; Department of Chemistry, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil.
  • Tavares Germano A; Department of Chemistry, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil.
  • Bretanha LC; Department of Chemistry, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil.
  • Micke GA; Department of Chemistry, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil.
  • Siwe-Noundou X; Pharmaceutical Sciences Department, School of Pharmacy, Sefako Makgatho Health Sciences University, Pretoria, South Africa.
  • Sandjo LP; Department of Chemistry, Universidade Federal de Santa Catarina, Florianópolis, SC, Brazil.
Nat Prod Res ; : 1-6, 2023 Jul 22.
Article em En | MEDLINE | ID: mdl-37480346
ABSTRACT
The commercial activity of the grey mullet (known as Tainha TAI) and Tambaqui (TAM) generates tons of waste that can be turned into valuable resources. Therefore, this work aimed to chemically characterize and quantify the fatty acids profiles of the two fishes. GCMS quantification was performed by using calibration curves built from a standard that contains 19 FAME. The analysis revealed that visceral wastes from both fishes contain 16 fatty acids (FA) consisting of saturated (SFA), monounsaturated (MUFA) and polyunsaturated (PUFA). However, their compositions were different as FA side chains in TAI and TAM contain 12 to 20 and 13 to 22 carbon atoms, respectively. Also, the SFA amount in TAI was greater than in TAM. On the other hand, TAM is richer in MUFA and PUFA compared to TAI. Both have similar chemical compositions of ω-3 and ω-6 in PUFA and ω-5, ω-7, and ω-9 in MUFA.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article