Bioimpedance as a tool for evaluating the body composition of suruvi (Steindachneridion scriptum)

Abstract

Bioelectrical impedance analysis (BIA) is regarded as an important tool for evaluating the body composition of different animals in a rapid, non-destructive, and low-cost manner. A South American fish species, Steindachneridion scriptum, known as suruvi, was selected for study in this investigation. A protocol to produce fish with different body composition was used to allow BIA to adequately predict the body composition of suruvi. The fish were fed twice each day with two different diets; a low lipid diet (8.90%), and a high lipid diet (18.68%). These dietary differences allowed suruvi specimens with different body compositions to be produced. The BIA readings were determined using a Quantum X Bioelectrical Body Composition Analyzer. Two readings (dorsal and ventral) were obtained for each fish. After BIA readings were obtained, the proximate composition of the fish bodies for each individual was determined. All of the study data were used to establish correlation equations between proximate analyses and BIA values. Strong correlations were found for S. scriptum. The highest correlations were obtained for the following pairs of quantities, using BIA data from dorsal readings: moisture and resistance in series (R 2 = 0.87); protein and resistance in series (R 2 = 0.87); and ash and reactance in parallel (R 2 = 0.82). We conclude that BIA is an effective method in determining the body composition of S. scriptum without sacrificing the fish. However, to expand the use of this new technology it is important to define strict BIA protocols to guarantee accurate estimates.Keywords: BIA, bioimpedance analysis, non-destructive method, native species. Bioimpedância como ferramenta de análise da composição corporal do suruvi (Steindachneridion scriptum) ResumoA análise da impedância bioelétrica (BIA) é considerada uma importante ferramenta para avaliar a composição corporal de diferentes animais de uma maneira rápida, não-destrutiva e de baixo custo. A espécie Sul-americana Steindachneridion scriptum, popularmente conhecida como suruvi, foi selecionada para este estudo. Foi utilizado um protocolo para produzir peixes com distintas composições corporais, permitindo a validação da BIA para análise adequada da composição corporal do suruvi. Os peixes foram alimentados duas vezes ao dia com duas dietas diferentes: uma de baixo teor lipídico (8,90%) e outra de alto teor lipídico (18,68%). Essa diferença nas dietas possibilitou a produção de indivíduos com diferentes composições corporais. As leituras da BIA foram determinadas utilizando-se o equipamento Quantum X Bioelectrical Body Composition Analyzer. Duas leituras (dorsal e ventral) foram obtidas para cada peixe. Após as leituras, para cada peixe individualmente, a composição proximal dos peixes foi determinada. Todos os dados obtidos foram utilizados para estabelecer as equações de correlação entre as análises proximais e os valores da BIA. Fortes correlações foram encontradas para S. scriptum. As maiores correlações foram obtidas para as análises dorsais a seguir:...

FREQUí­Å NCIA ALIMENTAR NA CRIAÇÃO DE JUVENIS DE SURUVI <i>Steindachneridion scriptum</i>

“…Regarding the centesimal composition, the body protein content of suruvi juveniles in the present study was consistent with previous findings for the same species and other catfish (i.e., 15-19%) (Martino et al, 2005;Reidel et al, 2010;Zaniboni-Filho et al, 2015). Their fat content can classify fish as lean (<5.0% fat) or fat (>5.0% fat) (Penfield and Campbell, 1990), and fish body fat is related to the composition of the diet (Johansen and Jobling, 1998).…”

“…Their fat content can classify fish as lean (<5.0% fat) or fat (>5.0% fat) (Penfield and Campbell, 1990), and fish body fat is related to the composition of the diet (Johansen and Jobling, 1998). At the end of this study, the suruvi juveniles that were fed 11.0% lipid diets were classified as fatty fish, although Zaniboni-Filho et al (2015) quantified values <5.0% in suruvi juveniles fed an 8.9% lipid ration.…”

Análisis de impedancia bioeléctrica (AIB) en la producción animal. Revisión

“…Aiming to use BIA analyses to determine the body composition of fish, Zaniboni-Filho et al (44) treated the fish with a diet composed by different rates of lipids (8.90% vs 18.68 %) to produce individuals with different body compositions. The results showed stronger correlations for the dorsal analyses of moisture and resistance in series (0.87); protein and resistance in series (0.87); ash and reactance in parallel (0.82).…”

Making the choice between bioelectrical impedance measures for body hydration status assessment

“…Many methods are available for assessing the proximate body composition of a variety of organisms as references or criterion points. A physicochemical compositional analysis is considered to be the most reliable approach for this type of assessment, but due to its destructiveness, is only permitted in animal models 22 , 24 , 25 . This direct lethal method bypasses any theoretical model of body compartment calculation restricted by non-lethal or in vivo reference methods to 2-, 3-, and 4-component models (e.g., by using hydrometry [with deuterium or tritium dilution] for body water, hydrodensitometry [with underwater weighing] for body density and then body fat, dual-energy X-ray absorptiometry [DEXA] for body bone mineral content).…”

“…However, most BIA techniques require further evaluation, because in most cases, the consistency and accuracy have been assessed against references or criterion techniques, such as the dilution methods, which have their own shortcomings (e.g., low precision of their measurement, deuterium loss in urine and breath, and some differences of intracellular and transcellular penetrations between genders and in individuals with different homeostasis) 16 , 34 . Besides these indirect techniques, BIA models can also been developed using animals that can be terminated, such as fish, to allow for direct measurements of moisture and other compartments of the body associated with hydration/osmolality as proximate composition references or criterion points 22 . Such direct or proximate composition references obtained using lethal physicochemical methods should show more reliable associations with BIA measures even without populationally-derived regression models that are biased by various theoretical viewpoints on body compartments.…”