Proximal composition and nutritional differentiation of commercially important hydrobiological species from Peru using multivariate analysis

Authors

  • Fredy Crispin-Sanchez Departamento de Acuicultura e Industrias Pesqueras. Facultad de Ingeniería Pesquera. Universidad Nacional Agraria. Lima, Perú.
  • Fabiola Olivares-Ponce Departamento de Acuicultura e Industrias Pesqueras. Facultad de Ingeniería Pesquera. Universidad Nacional Agraria. Lima, Perú.
  • Raúl Porturas-Olaechea Departamento de Acuicultura e Industrias Pesqueras. Facultad de Ingeniería Pesquera. Universidad Nacional Agraria. Lima, Perú.
  • Tatiana Vergara Miranda Semillero de Investigación Re-Pesca. La Molina, Lima, Perú.
  • Rodrigo Gamarra Navarrete Semillero de Investigación Re-Pesca. La Molina, Lima, Perú.
  • Dalia Gallardo Ramirez Semillero de Investigación Re-Pesca. La Molina, Lima, Perú.
  • Oscar Amado Crisóstomo Gordillo Facultad de Química e Ingeniería Química. Universidad Nacional Mayor de San Marcos. Lima, Perú.

DOI:

https://doi.org/10.17268/

Keywords:

Proximate composition, marine species, nutritional value, fish processing industry, Peru

Abstract

Hydrobiological resources represent an important source of high biological value proteins and essential fatty acids; however, the nutritional variability among commercial Peruvian species has been scarcely studied in a comparative manner. The aim of this study was to evaluate and differentiate the proximate chemical composition of eight hydrobiological species from Peru using univariate and multivariate analyses. Samples of hake (Merluccius merluccius), jumbo squid (Dosidicus gigas), shrimp (Penaeus vannamei), scallop (Argopecten purpuratus), mackerel (Scomber scombrus), trout (Oncorhynchus mykiss), dolphinfish (Coryphaena hippurus), and bonito (Sarda chiliensis chiliensis) were analyzed to determine moisture, protein, lipids, and ash content following AOAC methods. Data were evaluated using ANOVA (p<0.05), principal component analysis (PCA), and linear discriminant analysis (LDA). Moisture was the predominant component (69.85–81.15%), while protein ranged from 15.83% to 22.14%. Lipids showed the highest variability (0.54–6.12%), allowing classification into lean and fatty groups. PCA indicated that lipids explained 86% of the total variability, and LDA confirmed their role as the main discriminator. It is concluded that lipid content is the primary axis of nutritional differentiation among species.

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Published

2026-08-26

Issue

Section

Artículos de investigación

How to Cite

Proximal composition and nutritional differentiation of commercially important hydrobiological species from Peru using multivariate analysis. (2026). Agroindustrial Science, 16(3), 381-388. https://doi.org/10.17268/

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