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Full-Text Articles in Physical Sciences and Mathematics
Novel Approaches For Assessment Of Copper Toxicity: Fast Scan Cyclic Voltammetry And Optical Bioassays, Annette R. Tremonti
Novel Approaches For Assessment Of Copper Toxicity: Fast Scan Cyclic Voltammetry And Optical Bioassays, Annette R. Tremonti
Wayne State University Dissertations
Anthropogenic activities negatively impact fresh water ecosystems through toxic contaminants that are released into the environment. Copper (Cu) is a water contaminant that is fundamentally persistent once introduced into the environment that has the potential for bioaccumulation. Although Cu toxicity has been studied for decades, there is still a continuing problem with new sources and pathways. New approaches are needed to understand distribution and transport of Cu and its potential for complex biological impacts beyond the simple assessment of lethality. Several novel approaches were used in this research project to advance our understanding of Cu toxicity, including fast scan cyclic …
In Vitro And In Vivo Measurments Of Serotonin For Ecological And Mental Health Via Fast Scan Cyclic Voltammetry, Matthew Nicholas Jackson
In Vitro And In Vivo Measurments Of Serotonin For Ecological And Mental Health Via Fast Scan Cyclic Voltammetry, Matthew Nicholas Jackson
Wayne State University Theses
Fast Scan Cyclic Voltammetry has been proven to be a highly valuable technique in analysis and detection of neurotransmitters. With this technique, two novel applications are being explored to protect natural water sources as well as furthering the efficacy of antidepressants. Despite setbacks, promising data has been collected to further understand the mechanisms involved in the phototactic response observed in Daphnia Magna. Electrochemical modification of carbon fiber microelectrodes has proven to be inefficient as a means to effectively differentiate between serotonin and its metabolite. As such, this unsuccessful attempt has further narrowed down the list of candidates to electrochemically differentiate …