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Coupling bioaccumulation and phytotoxicity to predict copper removal by switchgrass grown hydroponically.(Report)

Byline: Kai-Wei Juang (1), Hung-Yu Lai (2), Bo-Ching Chen (2) Keywords: Copper; Hydroponics; Phytoextraction; Switchgrass Abstract: A major challenge in phytoextraction is to increase plants' removal rates of metals from contaminated soils. In this study, we developed a phytoextraction model, by cou... Full description

Journal Title: Ecotoxicology June, 2011, Vol.20(4), p.827(9)
Main Author: Juang, Kai - Wei
Other Authors: Lai, Hung - Yu , Chen, Bo - Ching
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 0963-9292
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recordid: gale_ofa255566025
title: Coupling bioaccumulation and phytotoxicity to predict copper removal by switchgrass grown hydroponically.(Report)
format: Article
creator:
  • Juang, Kai - Wei
  • Lai, Hung - Yu
  • Chen, Bo - Ching
subjects:
  • Biodegradation, Environmental–Analysis
  • Copper–Metabolism
  • Copper–Toxicity
  • Copper–Drug Effects
  • Dose-Response Relationship, Drug–Growth & Development
  • Hydroponics–Metabolism
  • Panicum–Analysis
  • Panicum–Metabolism
  • Panicum–Toxicity
  • Water Pollutants, Chemical–Toxicity
  • Water Pollutants, Chemical–Toxicity
  • Water Pollutants, Chemical–Toxicity
  • Water Pollutants, Chemical
  • Copper
ispartof: Ecotoxicology, June, 2011, Vol.20(4), p.827(9)
description: Byline: Kai-Wei Juang (1), Hung-Yu Lai (2), Bo-Ching Chen (2) Keywords: Copper; Hydroponics; Phytoextraction; Switchgrass Abstract: A major challenge in phytoextraction is to increase plants' removal rates of metals from contaminated soils. In this study, we developed a phytoextraction model, by coupling a saturable Michaelis--Menten type accumulation model and an energy-based toxicity model, to predict copper (Cu) removal by switchgrass (Panicum virgatum L.) grown hydroponically under various exposure concentrations. Results of the present study indicated that the phytotoxicity of Cu to switchgrass is relatively low, whereas a certain accumulation capacity exists in the plant for Cu. In addition, the simulation results suggested that, under a lower dissolved concentration, Cu removal is increased more efficiently as the exposure duration increases. Although it is difficult to extrapolate the results from greenhouse-based hydroponic experiments to field conditions, we believe that the current methodology can offer a first approximation in predicting the phytoextraction duration needed for plant species to remove a specific metal from contaminated sites, which is crucial in evaluating the economic costs for remediation purposes. Author Affiliation: (1) Department of Agronomy, National Chiayi University, Chiayi, Taiwan (2) Department of Post-Modern Agriculture, MingDao University, Changhua, Taiwan Article History: Registration Date: 05/03/2011 Accepted Date: 05/03/2011 Online Date: 16/03/2011
language: English
source:
identifier: ISSN: 0963-9292
fulltext: fulltext
issn:
  • 0963-9292
  • 09639292
url: Link


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titleCoupling bioaccumulation and phytotoxicity to predict copper removal by switchgrass grown hydroponically.(Report)
creatorJuang, Kai - Wei ; Lai, Hung - Yu ; Chen, Bo - Ching
ispartofEcotoxicology, June, 2011, Vol.20(4), p.827(9)
identifierISSN: 0963-9292
descriptionByline: Kai-Wei Juang (1), Hung-Yu Lai (2), Bo-Ching Chen (2) Keywords: Copper; Hydroponics; Phytoextraction; Switchgrass Abstract: A major challenge in phytoextraction is to increase plants' removal rates of metals from contaminated soils. In this study, we developed a phytoextraction model, by coupling a saturable Michaelis--Menten type accumulation model and an energy-based toxicity model, to predict copper (Cu) removal by switchgrass (Panicum virgatum L.) grown hydroponically under various exposure concentrations. Results of the present study indicated that the phytotoxicity of Cu to switchgrass is relatively low, whereas a certain accumulation capacity exists in the plant for Cu. In addition, the simulation results suggested that, under a lower dissolved concentration, Cu removal is increased more efficiently as the exposure duration increases. Although it is difficult to extrapolate the results from greenhouse-based hydroponic experiments to field conditions, we believe that the current methodology can offer a first approximation in predicting the phytoextraction duration needed for plant species to remove a specific metal from contaminated sites, which is crucial in evaluating the economic costs for remediation purposes. Author Affiliation: (1) Department of Agronomy, National Chiayi University, Chiayi, Taiwan (2) Department of Post-Modern Agriculture, MingDao University, Changhua, Taiwan Article History: Registration Date: 05/03/2011 Accepted Date: 05/03/2011 Online Date: 16/03/2011
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subjectBiodegradation, Environmental–Analysis ; Copper–Metabolism ; Copper–Toxicity ; Copper–Drug Effects ; Dose-Response Relationship, Drug–Growth & Development ; Hydroponics–Metabolism ; Panicum–Analysis ; Panicum–Metabolism ; Panicum–Toxicity ; Water Pollutants, Chemical–Toxicity ; Water Pollutants, Chemical–Toxicity ; Water Pollutants, Chemical–Toxicity ; Water Pollutants, Chemical ; Copper;
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titleCoupling bioaccumulation and phytotoxicity to predict copper removal by switchgrass grown hydroponically.(Report)
descriptionByline: Kai-Wei Juang (1), Hung-Yu Lai (2), Bo-Ching Chen (2) Keywords: Copper; Hydroponics; Phytoextraction; Switchgrass Abstract: A major challenge in phytoextraction is to increase plants' removal rates of metals from contaminated soils. In this study, we developed a phytoextraction model, by coupling a saturable Michaelis--Menten type accumulation model and an energy-based toxicity model, to predict copper (Cu) removal by switchgrass (Panicum virgatum L.) grown hydroponically under various exposure concentrations. Results of the present study indicated that the phytotoxicity of Cu to switchgrass is relatively low, whereas a certain accumulation capacity exists in the plant for Cu. In addition, the simulation results suggested that, under a lower dissolved concentration, Cu removal is increased more efficiently as the exposure duration increases. Although it is difficult to extrapolate the results from greenhouse-based hydroponic experiments to field conditions, we believe that the current methodology can offer a first approximation in predicting the phytoextraction duration needed for plant species to remove a specific metal from contaminated sites, which is crucial in evaluating the economic costs for remediation purposes. Author Affiliation: (1) Department of Agronomy, National Chiayi University, Chiayi, Taiwan (2) Department of Post-Modern Agriculture, MingDao University, Changhua, Taiwan Article History: Registration Date: 05/03/2011 Accepted Date: 05/03/2011 Online Date: 16/03/2011
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abstractByline: Kai-Wei Juang (1), Hung-Yu Lai (2), Bo-Ching Chen (2) Keywords: Copper; Hydroponics; Phytoextraction; Switchgrass Abstract: A major challenge in phytoextraction is to increase plants' removal rates of metals from contaminated soils. In this study, we developed a phytoextraction model, by coupling a saturable Michaelis--Menten type accumulation model and an energy-based toxicity model, to predict copper (Cu) removal by switchgrass (Panicum virgatum L.) grown hydroponically under various exposure concentrations. Results of the present study indicated that the phytotoxicity of Cu to switchgrass is relatively low, whereas a certain accumulation capacity exists in the plant for Cu. In addition, the simulation results suggested that, under a lower dissolved concentration, Cu removal is increased more efficiently as the exposure duration increases. Although it is difficult to extrapolate the results from greenhouse-based hydroponic experiments to field conditions, we believe that the current methodology can offer a first approximation in predicting the phytoextraction duration needed for plant species to remove a specific metal from contaminated sites, which is crucial in evaluating the economic costs for remediation purposes. Author Affiliation: (1) Department of Agronomy, National Chiayi University, Chiayi, Taiwan (2) Department of Post-Modern Agriculture, MingDao University, Changhua, Taiwan Article History: Registration Date: 05/03/2011 Accepted Date: 05/03/2011 Online Date: 16/03/2011
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