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Adapting Human Videofluoroscopic Swallow Study Methods to Detect and Characterize Dysphagia in Murine Disease Models

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Seriola dumerili digestive capacity.

Héctor Nolasco-Soria¹, Erick Perera², Manuel Yúfera²

¹Centro de Investigaciones Biológicas del Noroeste, 23090, La Paz, B.C.S, México. hnolasco04@cibnor.mx.

Fish Physiology and Biochemistry

|May 8, 2026

Summary

This study quantifies the digestive capacity (DC) of greater amberjack (Seriola dumerili) to inform aquaculture feed development. Findings reveal enzyme distribution, aiding in optimizing nutrient levels for enhanced fish growth and feed efficiency.

Keywords:

Aquaculture Digestive capacity Enzymatic responses

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Area of Science:

Aquaculture
Marine Biology
Fish Physiology

Background:

Greater amberjack (Seriola dumerili) shows significant aquaculture potential in the Mediterranean.
Developing species-specific feeds is crucial for expanding its aquaculture.
Quantifying digestive capacity (DC) complements feed formulation studies.

Purpose of the Study:

To characterize the enzyme digestive capacity (DC) of greater amberjack (Seriola dumerili) under culture conditions.
To determine the distribution of enzymatic DC across different digestive organs.
To provide a biochemical basis for optimizing aquaculture feed formulations.

Main Methods:

Enzyme activity assays were performed on five greater amberjack specimens.
Somatic indices of digestive organs (stomach, pancreas, pyloric caeca, intestine) were calculated.
Digestive capacity was quantified for proteases, amylase, and lipases.

Main Results:

The pyloric caeca showed the highest alkaline enzyme DC compared to intestinal regions.
Specific enzyme activities (e.g., acid protease, alkaline protease, amylase, lipase, trypsin, chymotrypsin) were quantified per fish.
Pancreatic activity was identified as a reserve digestive capacity.

Conclusions:

Digestive capacity measurements offer a biochemical foundation for optimizing feed formulations.
Understanding protease, amylase, and lipase DC aids in tailoring protein, carbohydrate, and lipid levels.
This approach enables analysis of species' enzymatic responses to feed composition.