{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/150433"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/150433","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"An Electrochemical Sensor Development Platform: Applications of System Identification to Biological Sensing in Evolving Fluids","abstract":"Biologically active fluids dominate living systems, from human blood to global agriculture. Characterizing the growth of microorganisms within these biofluids is of key importance from scientific roles identifying pathogens and their biochemical behavior to industrial applications in food safety, healthcare, and pharmaceuticals. Compact, low-cost electrochemical sensors that monitor microorganism population and growth have attracted attention as replacements for days-long plate-counting -- potentially delivering results within hours or seconds by monitoring model parameters from diverse physical and chemical phenomena as they trace sigmoidal growth curves under microbial influence. Within the measurement framework of electrochemical impedance spectroscopy, this work proposes extracting additional information from biofluid systems by harnessing a nonlinear dynamic electrochemical model. A modular laboratory platform has been developed to perform parallel, temperature-controlled two-electrode electrochemical experiments from DC conditions to 10 MHz on compact hardware amenable to a low-cost sensor format for end users. An outline of a general-purpose, black-box technique to characterize fluids and predict their evolution over time is also presented, along with platform commissioning tests and preliminary data and analysis.","abstract_html":"Biologically active fluids dominate living systems, from human blood to global agriculture. Characterizing the growth of microorganisms within these biofluids is of key importance from scientific roles identifying pathogens and their biochemical behavior to industrial applications in food safety, healthcare, and pharmaceuticals. Compact, low-cost electrochemical sensors that monitor microorganism population and growth have attracted attention as replacements for days-long plate-counting -- potentially delivering results within hours or seconds by monitoring model parameters from diverse physical and chemical phenomena as they trace sigmoidal growth curves under microbial influence. Within the measurement framework of electrochemical impedance spectroscopy, this work proposes extracting additional information from biofluid systems by harnessing a nonlinear dynamic electrochemical model. A modular laboratory platform has been developed to perform parallel, temperature-controlled two-electrode electrochemical experiments from DC conditions to 10 MHz on compact hardware amenable to a low-cost sensor format for end users. An outline of a general-purpose, black-box technique to characterize fluids and predict their evolution over time is also presented, along with platform commissioning tests and preliminary data and analysis.","abstract_has_math":false,"creators":["Aling, Michael"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. 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Characterizing the growth of microorganisms within these biofluids is of key importance from scientific roles identifying pathogens and their biochemical behavior to industrial applications in food safety, healthcare, and pharmaceuticals. Compact, low-cost electrochemical sensors that monitor microorganism population and growth have attracted attention as replacements for days-long plate-counting -- potentially delivering results within hours or seconds by monitoring model parameters from diverse physical and chemical phenomena as they trace sigmoidal growth curves under microbial influence. Within the measurement framework of electrochemical impedance spectroscopy, this work proposes extracting additional information from biofluid systems by harnessing a nonlinear dynamic electrochemical model. A modular laboratory platform has been developed to perform parallel, temperature-controlled two-electrode electrochemical experiments from DC conditions to 10 MHz on compact hardware amenable to a low-cost sensor format for end users. An outline of a general-purpose, black-box technique to characterize fluids and predict their evolution over time is also presented, along with platform commissioning tests and preliminary data and analysis."]},{"key":"dc:description.degree","label":"Dc Description Degree","values":["S.M."]},{"key":"dc:title","label":"Title","values":["An Electrochemical Sensor Development Platform: Applications of System Identification to Biological Sensing in Evolving Fluids"]}]}],"canonical_facts":{"dc:contributor.advisor":["Hunter, Ian W."],"dc:contributor.department":["Massachusetts Institute of Technology. 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Within the measurement framework of electrochemical impedance spectroscopy, this work proposes extracting additional information from biofluid systems by harnessing a nonlinear dynamic electrochemical model. A modular laboratory platform has been developed to perform parallel, temperature-controlled two-electrode electrochemical experiments from DC conditions to 10 MHz on compact hardware amenable to a low-cost sensor format for end users. An outline of a general-purpose, black-box technique to characterize fluids and predict their evolution over time is also presented, along with platform commissioning tests and preliminary data and analysis."],"dc:description.degree":["S.M."],"dc:identifier.uri":["https://hdl.handle.net/1721.1/150433"],"dc:publisher":["Massachusetts Institute of Technology"],"dc:rights":["In Copyright - Educational Use Permitted","Copyright MIT"],"dc:rights.uri":["http://rightsstatements.org/page/InC-EDU/1.0/"],"dc:title":["An Electrochemical Sensor Development Platform: Applications of System Identification to Biological Sensing in Evolving Fluids"],"dc:type":["Thesis"],"thesis:degree_name":["Master","Master of Science in Mechanical Engineering"]},"updated_at":"2026-07-22T22:21:09Z"}