Instituto de Ciencias Marinas de Andalucía (ICMAN-CSIC), Puerto Real, Spain.
Departamento de Biología y Geología, Facultad de Ciencias, Campus de Excelencia Internacional del Mar (CEI-MAR), Universidad de Almería, La Cañada de San Urbano, Almería, Spain.
PLoS One. 2018 Nov 1;13(11):e0206556. doi: 10.1371/journal.pone.0206556. eCollection 2018.
Models simulating the in vitro digestive hydrolysis of nutrients by different animal species are frequently used to obtain a better understanding of factors affecting this process. Optimization algorithm of a model may be used to prospect the more favourable combination of selected factors resulting in the higher performance. This study was conducted to determine the combination of factors (pH, enzyme:substrate ratio, and reaction time) leading to highest bioavailability of proteins and carbohydrates in the gilthead seabream gastrointestinal tract. Besides, a novel multi-objective algorithm, desirability function, was introduced for optimization of the digestive hydrolysis of nutrients within the simulated gut of the species, using models based on the Response Surface Methodology. Design of experiment was defined based on the physiology and culture conditions of the species, and in vitro assays were performed in a two-phase (stomach ad intestine) digestion process, using the species-specific enzyme extract. According to results, intestinal phase of digestion makes the major contribution to the total protein hydrolysis, being the efficiency of the process directly correlated to all the three studied factors. In contrast, the efficiency of carbohydrate hydrolysis was directly correlated to the amount of substrate and inversely to the pH, while reaction time did not exert a significant effect. The physiological range of the factors studied in the assays favoured the hydrolysis of proteins over carbohydrates, a similar scenario to that observed in the live fish. Results from the mathematical models and their simultaneous optimization obtained from this work may have practical applications in design of feeds for this species.
模型模拟不同动物物种的营养物质体外消化水解,常用于更好地了解影响该过程的因素。模型的优化算法可用于预测选择因素的更有利组合,从而获得更高的性能。本研究旨在确定导致金头鲷胃肠道中蛋白质和碳水化合物生物利用率最高的因素组合(pH、酶:底物比和反应时间)。此外,还引入了一种新颖的多目标算法——适意函数,用于优化基于响应面法的物种模拟肠道中营养物质的消化水解。基于物种的生理学和培养条件定义了实验设计,并在体外进行了两阶段(胃和肠)消化过程,使用特定于物种的酶提取物。结果表明,消化的肠相对总蛋白水解有较大贡献,该过程的效率与所研究的三个因素直接相关。相比之下,碳水化合物水解的效率与底物的量直接相关,与 pH 呈反比,而反应时间没有显著影响。实验中研究因素的生理范围有利于蛋白质水解而不是碳水化合物水解,这与在活体鱼中观察到的情况相似。本工作中数学模型及其同时优化的结果可能在该物种饲料设计中有实际应用。