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首页> 外文期刊>Aquaculture >A parsimonious AUC-based biokinetic method to estimate relative bioavailable zinc to abalone Haliotis diversicolor supertexta
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A parsimonious AUC-based biokinetic method to estimate relative bioavailable zinc to abalone Haliotis diversicolor supertexta

机译:一种基于简约AUC的生物动力学方法,用于估算鲍鱼鲍氏鲍氏鲍鱼相对生物利用锌

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We developed a mechanistic model based on the pharmacological area-under-curve (AUC) concept associated with a biokinetic rate model to predict relative bioavailable zinc (Zn) to abalone Haliotis diversicolor supertexta. We conducted a laboratory 14-day exposure experiment to obtain biokinetic parameters for soft tissue and shell of abalone and their food source, red alga Gracilaria tenuistipitata var. liui. The physiological parameters in terms of growth rate constants for abalone and algae were derived from literature. The present AUC-based model demonstrates that depuration rate constants and growth rate constants of abalone and algae are the critical parameters in predicting relative bioavailable Zn to abalone. During uptake phase of the exposure experiment, estimated relative bioavailable Zn to soft tissue and shell of H. diversicolor supertexta were 71.04 +/- 9.71% (mean standard deviation) and 68.44 +/- 8.29%, respectively. Sensitivity analysis indicates that relative bioavailable Zn to abalone is greatly affected by growth rate and deputation rate constants of abalone and is less dependent on algae growth rate. We also applied a Monte Carlo approach to estimate the impact of parameter uncertainty on relative bioavailable Zn predictions. Our results suggest that the probabilistic approach allows a range of possible outcomes and their likelihood; it better informs both aquacultural risk assessors and risk managers. Our study suggests that we have to take into account both biokinetic and physiological processes in predicting the relative bioavailable metals to aquatic animals
机译:我们基于药理学曲线下面积(AUC)概念与生物动力学速率模型相关联,开发了一种机械模型,以预测鲍鱼鲍鱼盐藻的相对生物利用锌(Zn)。我们进行了为期14天的实验室暴露实验,以获取鲍鱼软组织和壳及其食物来源红藻Gracilaria tenuistipitata var的生物动力学参数。 ui就鲍鱼和藻类的生长速率常数而言,生理参数来自文献。当前基于AUC的模型表明,鲍鱼和藻类的净化速率常数和生长速率常数是预测相对于鲍鱼生物利用锌的关键参数。在暴露实验的吸收阶段,估计的七彩超文本的软组织和壳的相对生物利用锌分别为71.04 +/- 9.71%(平均标准偏差)和68.44 +/- 8.29%。敏感性分析表明,鲍鱼的相对生物利用度锌受鲍鱼生长速率和代表速率常数的影响很大,对藻类生长速率的依赖性较小。我们还应用了蒙特卡洛方法来估计参数不确定性对相对生物利用度Zn预测的影响。我们的结果表明,概率方法允许一系列可能的结果及其可能性。它可以更好地告知水产养殖风险评估者和风险管理者。我们的研究表明,在预测水生动物相对生物利用度金属时,我们必须考虑生物动力学和生理过程

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