| 4 | Microfabricated polymer-metal biosensors for multifarious data collection from electrogenic cellular models显示文摘Benchtop tissue cultures have become increasingly complex in recent years,as more on-a-chip biological technologies,such as microphysiological systems(MPS),are developed to incorporate cellular constructs that more accurately represent their respective biological systems.Such MPs have begun facilitating major breakthroughs in biological research and are poised to shape the field in the coming decades.These biological systems require integrated sensing modalities to procure complex,multiplexed datasets with unprecedented combinatorial biological detail.In this work,we expanded upon our polymer-metal biosensor approach by demonstrating a facile technology for compound biosensing that was characterized through custom modeling approaches.As reported herein,we developed a compound chip with 3D microelectrodes,3D microfluidics,interdigitated electrodes(IDEs)and a microheater.The chip was subsequently tested using the electrical/electrochemical characterization of 3D microelectrodes with 1 kHz impedance and phase recordings and IDE-based high-frequency(-1 MHz frequencies)impedimetric analysis of differential localized temperature recordings,both of which were modeled through equivalent electrical circuits for process parameter extraction.Additionally,a simplified antibody-conjugation strategy Was employed for a similar IDE-based analysis of the implications of a key analyte(L-glutamine)binding to the equivalent electrical circuit.Finally,acute microfluidic perfusion modeling was performed to demonstrate the ease of microfluidics integration into such a polymer-metal biosensor platform for potential complimentary localized chemical stimulation.Overall,our work demonstrates the design,development,and characterization of an accessibly designed polymer-metal compound biosensor for electrogenic cellular constructs to facilitate comprehensive MPS data collection. | Charles M.Didier Julia F.Orrico Omar S.Cepeda Trres Jorge Manrique Castro Aliyah Baksh Swaminathan Rajaraman | 2023 | Microsystems & Nanoengineering2023，9，2： | 0 |
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