{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/132803"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/132803","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Formulation of electrophoretic module for integration onto silicon-on-insulator neural probes","abstract":"Capillary electrophoresis (CE) has become a key analytical technique, especially in neurochemistry, due to its high separation efficiency and ability to analyze complex mixtures at a small scale [1]. However, challenges remain when it comes to scaling CE systems to match the demands of specific applications, particularly in situations where sample volume is constrained, such as brain research. This thesis investigates the scaling and integration of CE into micro-nano scale systems (focusing on how it can be adapted for neurochemistry workflows) and showcases further advancement from existing Microchip electrophoresis to Nanochip electrophoresis.","abstract_html":"Capillary electrophoresis (CE) has become a key analytical technique, especially in neurochemistry, due to its high separation efficiency and ability to analyze complex mixtures at a small scale [1]. However, challenges remain when it comes to scaling CE systems to match the demands of specific applications, particularly in situations where sample volume is constrained, such as brain research. 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However, challenges remain when it comes to scaling CE systems to match the demands of specific applications, particularly in situations where sample volume is constrained, such as brain research. This thesis investigates the scaling and integration of CE into micro-nano scale systems (focusing on how it can be adapted for neurochemistry workflows) and showcases further advancement from existing Microchip electrophoresis to Nanochip electrophoresis.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-12-01","The student, Garima Gupta, accepted the attached license on 2025-12-12 at 13:31.","The student, Garima Gupta, submitted this Thesis for approval on 2025-12-12 at 13:33.","This Thesis was approved for publication on 2025-12-12 at 15:05.","DSpace SAF Submission Ingestion Package generated from Vireo submission #23085 on 2026-02-19 at 20:10:05"]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Formulation of electrophoretic module for integration onto silicon-on-insulator neural probes"]}]}],"canonical_facts":{"dc:contributor":["Vlasov, Yurii"],"dc:creator":["Gupta, Garima"],"dc:date":["2025-12","2025-12-12"],"dc:description":["Capillary electrophoresis (CE) has become a key analytical technique, especially in neurochemistry, due to its high separation efficiency and ability to analyze complex mixtures at a small scale [1]. However, challenges remain when it comes to scaling CE systems to match the demands of specific applications, particularly in situations where sample volume is constrained, such as brain research. This thesis investigates the scaling and integration of CE into micro-nano scale systems (focusing on how it can be adapted for neurochemistry workflows) and showcases further advancement from existing Microchip electrophoresis to Nanochip electrophoresis.","Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2027-12-01","The student, Garima Gupta, accepted the attached license on 2025-12-12 at 13:31.","The student, Garima Gupta, submitted this Thesis for approval on 2025-12-12 at 13:33.","This Thesis was approved for publication on 2025-12-12 at 15:05.","DSpace SAF Submission Ingestion Package generated from Vireo submission #23085 on 2026-02-19 at 20:10:05"],"dc:format":["application/pdf"],"dc:identifier":["https://hdl.handle.net/2142/132803"],"dc:language":["en"],"dc:rights":["Copyright 2025 Garima Gupta"],"dc:subject":["Electrophoresis"],"dc:title":["Formulation of electrophoretic module for integration onto silicon-on-insulator neural probes"],"dc:type":["text","Thesis"],"thesis:degree_discipline":["Electrical & Computer Engr"],"thesis:degree_level":["Thesis"],"thesis:degree_name":["M.S."],"thesis:institution_name":["University of Illinois Urbana-Champaign"]},"updated_at":"2026-07-22T22:25:07Z"}