Molecularly imprinted nanopores for multiplexed sensing, release, and in-edge computing

Molecularly imprinted nanopores for multiplexed sensing, release, and in-edge computing | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Molecularly imprinted nanopores for multiplexed sensing, release, and in-edge computing Denis Garoli, Ali Douaki, Shukun Weng, Silvia Dante, Nako Nakatsuka, and 2 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7761345/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted You are reading this latest preprint version Abstract In nanopore technology, the development of multiplexed detection and release platforms with high spatial and temporal resolution remains a significant challenge due to the difficulty in distinguishing signals originating from different nanopores in a single chip. In this work, we present a solid-state nanopore system functionalized with molecularly imprinted polymers (MIPs) for the selective detection and controlled release of neurotransmitters. We designed a nanopore array where each nanopore is functionalized with a specific MIP able to recognize specific neurotransmitters (dopamine, gamma-aminobutyric acid, and histamine, respectively). The platform demonstrated high performance in terms of sensitivity, selectivity, recovery, and stability. Multiplexed detection with high spatiotemporal resolution “110 ms / 3 µm” was achieved by specifically depositing MIPs and conductive hydrogels on different nanopores prepared on a single solid-state membrane. The different functionalization of the nanopores prevented signal cross-talk, thereby enabling simultaneous detection and release of multiple neurotransmitters. Finally, we demonstrated computing with different logic gates and in-edge computing. This nanopore platform represents a novel approach towards hybrid solid-state nanopores able to perform real-time multiplex detection, controlled biomolecule release, and ionic logic computing, addressing key challenges in neurochemical sensing and bio-computation. Physical sciences/Nanoscience and technology/Nanobiotechnology/Nanopores Physical sciences/Materials science/Nanoscale materials/Organic–inorganic nanostructures Full Text Additional Declarations There is NO Competing Interest. Supplementary Files DouakietalSIfinal.docx Supporting Information NNANO25093927SIanon.docx Supplementary Information Cite Share Download PDF Status: Under Review Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-7761345","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":553957698,"identity":"6ec57e1e-601b-4c89-be91-e9233fc09c49","order_by":0,"name":"Denis 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