Sensory determinants of valve rhythm dynamics provide in situ biodetection of copper in aquatic environments

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• 作者：Li-John Jou ; Bo-Ching Chen ; Wei-Yu Chen…
• 关键词：Freshwater clam ; Valve rhythm ; Valvometry technique ; Copper ; Environmental monitoring ; Biological early warning system
• 刊名：Environmental Science and Pollution Research
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：23
• 期：6
• 页码：5374-5389
• 全文大小：9,776 KB
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• 作者单位：Li-John Jou (1)
  Bo-Ching Chen (2)
  Wei-Yu Chen (3)
  Chung-Min Liao (4)
  
  1. Department of Biomechatronic Engineering, National Ilan University, Ilan, Taiwan, 26047, Republic of China
  2. Department of Post-Modern Agriculture, MingDao University, Changhua, Taiwan, 52345, Republic of China
  3. Department of Biomedical Science and Environmental Biology, Kaohsiung Medical University, Kaohsiung, Taiwan, 80708, Republic of China
  4. Department of Bioenvironmental Systems Engineering, National Taiwan University, Taipei, Taiwan, 10617, Republic of China
  
• 刊物类别：Earth and Environmental Science
• 刊物主题：Environment
  Environment
  Atmospheric Protection, Air Quality Control and Air Pollution
  Waste Water Technology, Water Pollution Control, Water Management and Aquatic Pollution
  Industrial Pollution Prevention
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1614-7499

文摘

This study successfully applied an improved valvometry technique to measure waterborne copper (Cu), based on valve activity dynamics of the freshwater clam Corbicula fluminea. The improved valvometry technique allows the use of free-range bivalves and avoids causing stresses from experimental artifacts. The proposed daily valve rhythm models and a toxicodynamics-based Hill model were linked to predict valve dynamic responses under different Cu exposures with a circadian valve rhythm endpoint. Cu-specific detection threshold was 5.6 (95 % CI 2.1–9.3) and 19.5 (14.6–24.3) μg L−1 for C. fluminea, based on response times of 300 and 30 min, respectively. Upon exposure to Cu concentrations in excess of 50 μg L−1, the alteration of valve rhythm behavior was correlated with Cu concentration within 30 min, indicating notable sensing ability. This study outlines the feasibility of an in situ early warning dynamic biomonitoring system for detection of waterborne Cu based on circadian valve activities of C. fluminea.