English  |  正體中文  |  简体中文  |  Items with full text/Total items : 28611/40649
Visitors : 519396      Online Users : 71
RC Version 4.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Adv. Search

Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/39709

Title: A parsimonious AUC-based biokinetic method to estimate relative bioavailable zinc to abalone Haliotis diversicolor supertexta
Authors: Chung-Min Liao
Bo-Ching Chen
Jeng-Wei Tsai
Jein-Wen Chen
Min-Pei Ling
Yun-Hua Chou
Contributors: 國立臺灣海洋大學:食品科學系
Keywords: Bioavailability
Date: 2004-04
Issue Date: 2016-12-28T08:30:44Z
Publisher: Aquaculture
Abstract: Abstract: 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 depuration 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.
Relation: 232(1-4)
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/39709
Appears in Collections:[食品科學系] 期刊論文

Files in This Item:

File Description SizeFormat

All items in NTOUR are protected by copyright, with all rights reserved.


著作權政策宣告: 本網站之內容為國立臺灣海洋大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,請合理使用本網站之內容,以尊重著作權人之權益。
網站維護: 海大圖資處 圖書系統組
DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback