Online detection of waterborne bioavailable copper by valve daily rhythms in freshwater clam Corbicula fluminea.
Freshwater clam Corbicula fluminea, a surrogate species in metal toxicity testing, is a promising bioindicator of impairment in aquatic ecosystems. Little is known, however, about the relationship between clam valve daily rhythmic response and metal bioavailability related to a metal biological early warning system (BEWS) design. The purpose of this study was to link biotic ligand model (BLM)-based bioavailability and valve daily rhythm in C. fluminea to design a biomonitoring system for online in situ detection of waterborne copper (Cu). We integrated the Hill-based dose-time-response function and the fitted daily rhythm function of valve closure into a constructed programmatic mechanism. The functional presentation of the present dynamic system was completely demonstrated by employing a LabVIEW graphic control program in a personal computer. We used site-specific effect concentration causing 10% of total valve closure response (EC10) as the detection threshold to implement the proposed C. fluminea-based Cu BEWS. Here our results show that the proposed C. fluminea-based BEWS could be deliberately synthesized to online in situ transmit rapidly the information on waterborne bioavailable Cu levels under various aquatic environmental conditions through monitoring the valve daily rhythmic changes. We suggested that the developed C. fluminea-based dynamic biomonitoring system could assist in developing technically defensible site-specific water quality criteria to promote more efficient uses in water resources for protection of species health in aquatic environments.
Jou
L J
LJ
Department of Biomechatronic Engineering, National Ilan University, Ilan, Taiwan 260, Republic of China.
Chen
W Y
WY
Liao
C M
CM
D000818:Animals; D002940:Circadian Rhythm / Q000502:physiology*; D003300:Copper / Q000378:metabolism*; D049874:Corbicula / Q000378:metabolism / Q000502:physiology*; D004784:Environmental Monitoring / Q000379:methods*; D008962:Models, Theoretical; D014874:Water Pollutants, Chemical / Q000378:metabolism*
D014874:Water Pollutants, Chemical; D003300:Copper