{"id":{"repo_id":"dcu","oai_identifier":"oai:doras.dcu.ie:14929"},"canonical_url":"https://search.dev.ndltd.org/etd/dcu/oai:doras.dcu.ie:14929","repository":{"repo_id":"dcu","name":"Dublin City University","base_url":"http://doras.dcu.ie/cgi/oai2"},"display":{"title":"Standardized development of microarray technology via substrate-independent surface coatings","abstract":"While microarray technology has provided a versatile and high-throughput analytical tool for many research purposes, poor cross-platform assay dataset correlation has prevented the technology from finding common usage for real-world applications due to difficulties regarding the ability to validate results obtained on different platforms. Although large-scale investigations in the literature have demonstrated that cross-platform dataset correlation can be increased through the implementation of standardized interlaboratory probes, assay methodology, and analysis techniques, the degree of cross-platform concordance achievable remains significantly limited due to inherent differences in the platforms themselves. Much of the inherent cross-platform differences limiting the extent of cross-platform dataset comparability lies with dissimilar surface properties between platforms, resulting in differential probe and target behaviors. To overcome these limitations regarding cross-platform dataset comparability, the development and use of multifunctional substrate-independent surface coatings was explored as a method to eliminate the initial differences in cross-platform surface properties and their effects on microarray performance. Specically, two types of substrate-independent surface coatings were examined: an electrostatically self-assembled polyelectrolyte multilayer and a self-polymerized polydopamine film. The results of this investigation determined that both multifunctional substrate-independent surface coatings were capable of depositing onto a broad range of materials and converting their surface properties into the properties of the coating itself. Additionally, when using these surface coatings as a common cross-platform interface, it was possible to obtain highly concordant microarray datasets between platforms constructed from glass, mica, silicon, and polymer. In particular, multianalyte DNA and protein dose-response assays performed on platforms with substrate-independent surface coatings yielded significantly higher correlation coefficients in comparison to platforms without substrate-independent surface coatings. Furthermore, it was shown how the surface properties of the multifunctional substrate-independent surface coatings can be manipulated through chemical modication in order to tailor and optimize microarray performance to suit specific applications. Utilization of substrate-independent surface coatings in such a manner can provide researchers and manufacturers with a simple, yet effective, method to standardize microarray fabrication across different platforms while still enabling sustainable development of the technology in terms of platform material, design, and application.","abstract_html":"While microarray technology has provided a versatile and high-throughput analytical tool for many research purposes, poor cross-platform assay dataset correlation has prevented the technology from finding common usage for real-world applications due to difficulties regarding the ability to validate results obtained on different platforms. Although large-scale investigations in the literature have demonstrated that cross-platform dataset correlation can be increased through the implementation of standardized interlaboratory probes, assay methodology, and analysis techniques, the degree of cross-platform concordance achievable remains significantly limited due to inherent differences in the platforms themselves. Much of the inherent cross-platform differences limiting the extent of cross-platform dataset comparability lies with dissimilar surface properties between platforms, resulting in differential probe and target behaviors. To overcome these limitations regarding cross-platform dataset comparability, the development and use of multifunctional substrate-independent surface coatings was explored as a method to eliminate the initial differences in cross-platform surface properties and their effects on microarray performance. Specically, two types of substrate-independent surface coatings were examined: an electrostatically self-assembled polyelectrolyte multilayer and a self-polymerized polydopamine film. The results of this investigation determined that both multifunctional substrate-independent surface coatings were capable of depositing onto a broad range of materials and converting their surface properties into the properties of the coating itself. Additionally, when using these surface coatings as a common cross-platform interface, it was possible to obtain highly concordant microarray datasets between platforms constructed from glass, mica, silicon, and polymer. In particular, multianalyte DNA and protein dose-response assays performed on platforms with substrate-independent surface coatings yielded significantly higher correlation coefficients in comparison to platforms without substrate-independent surface coatings. Furthermore, it was shown how the surface properties of the multifunctional substrate-independent surface coatings can be manipulated through chemical modication in order to tailor and optimize microarray performance to suit specific applications. Utilization of substrate-independent surface coatings in such a manner can provide researchers and manufacturers with a simple, yet effective, method to standardize microarray fabrication across different platforms while still enabling sustainable development of the technology in terms of platform material, design, and application.","abstract_has_math":false,"creators":["Spillman, Scott D."],"institution":"Dublin City University","degree_name":"phd","degree_level":"doctoral","degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2009,"date_issued":"2009-11","date_published":"2009-11","updated_at":"2026-07-24T06:26:22Z","subjects":["Physics"],"languages":["en"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":null,"outbound_label":null,"outbound_source":null},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Spillman, Scott D."]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2009-11"]},{"key":"dc:date.issued","label":"Date","values":["2009-11"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["Dublin City University"]},{"key":"dc:relation.isreferencedby","label":"Dc Relation Isreferencedby","values":["https://doras.dcu.ie/14929/"]},{"key":"dc:type","label":"Dc Type","values":["Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["phd"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["Physics"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["https://doras.dcu.ie/14929/1/Scott_Spillman_Thesis_optimised.pdf"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["While microarray technology has provided a versatile and high-throughput analytical tool for many research purposes, poor cross-platform assay dataset correlation has prevented the technology from finding common usage for real-world applications due to difficulties regarding the ability to validate results obtained on different platforms. Although large-scale investigations in the literature have demonstrated that cross-platform dataset correlation can be increased through the implementation of standardized interlaboratory probes, assay methodology, and analysis techniques, the degree of cross-platform concordance achievable remains significantly limited due to inherent differences in the platforms themselves. Much of the inherent cross-platform differences limiting the extent of cross-platform dataset comparability lies with dissimilar surface properties between platforms, resulting in differential probe and target behaviors. To overcome these limitations regarding cross-platform dataset comparability, the development and use of multifunctional substrate-independent surface coatings was explored as a method to eliminate the initial differences in cross-platform surface properties and their effects on microarray performance. Specically, two types of substrate-independent surface coatings were examined: an electrostatically self-assembled polyelectrolyte multilayer and a self-polymerized polydopamine film. The results of this investigation determined that both multifunctional substrate-independent surface coatings were capable of depositing onto a broad range of materials and converting their surface properties into the properties of the coating itself. Additionally, when using these surface coatings as a common cross-platform interface, it was possible to obtain highly concordant microarray datasets between platforms constructed from glass, mica, silicon, and polymer. In particular, multianalyte DNA and protein dose-response assays performed on platforms with substrate-independent surface coatings yielded significantly higher correlation coefficients in comparison to platforms without substrate-independent surface coatings. Furthermore, it was shown how the surface properties of the multifunctional substrate-independent surface coatings can be manipulated through chemical modication in order to tailor and optimize microarray performance to suit specific applications. Utilization of substrate-independent surface coatings in such a manner can provide researchers and manufacturers with a simple, yet effective, method to standardize microarray fabrication across different platforms while still enabling sustainable development of the technology in terms of platform material, design, and application."]},{"key":"dc:format","label":"Dc Format","values":["application/pdf"]},{"key":"dc:title","label":"Title","values":["Standardized development of microarray technology via substrate-independent surface coatings"]}]}],"canonical_facts":{"dc:creator":["Spillman, Scott D."],"dc:date":["2009-11"],"dc:date.issued":["2009-11"],"dc:description.abstract":["While microarray technology has provided a versatile and high-throughput analytical tool for many research purposes, poor cross-platform assay dataset correlation has prevented the technology from finding common usage for real-world applications due to difficulties regarding the ability to validate results obtained on different platforms. Although large-scale investigations in the literature have demonstrated that cross-platform dataset correlation can be increased through the implementation of standardized interlaboratory probes, assay methodology, and analysis techniques, the degree of cross-platform concordance achievable remains significantly limited due to inherent differences in the platforms themselves. Much of the inherent cross-platform differences limiting the extent of cross-platform dataset comparability lies with dissimilar surface properties between platforms, resulting in differential probe and target behaviors. To overcome these limitations regarding cross-platform dataset comparability, the development and use of multifunctional substrate-independent surface coatings was explored as a method to eliminate the initial differences in cross-platform surface properties and their effects on microarray performance. Specically, two types of substrate-independent surface coatings were examined: an electrostatically self-assembled polyelectrolyte multilayer and a self-polymerized polydopamine film. The results of this investigation determined that both multifunctional substrate-independent surface coatings were capable of depositing onto a broad range of materials and converting their surface properties into the properties of the coating itself. Additionally, when using these surface coatings as a common cross-platform interface, it was possible to obtain highly concordant microarray datasets between platforms constructed from glass, mica, silicon, and polymer. In particular, multianalyte DNA and protein dose-response assays performed on platforms with substrate-independent surface coatings yielded significantly higher correlation coefficients in comparison to platforms without substrate-independent surface coatings. Furthermore, it was shown how the surface properties of the multifunctional substrate-independent surface coatings can be manipulated through chemical modication in order to tailor and optimize microarray performance to suit specific applications. Utilization of substrate-independent surface coatings in such a manner can provide researchers and manufacturers with a simple, yet effective, method to standardize microarray fabrication across different platforms while still enabling sustainable development of the technology in terms of platform material, design, and application."],"dc:format":["application/pdf"],"dc:identifier.uri":["https://doras.dcu.ie/14929/1/Scott_Spillman_Thesis_optimised.pdf"],"dc:language":["en"],"dc:publisher.institution":["Dublin City University"],"dc:relation.isreferencedby":["https://doras.dcu.ie/14929/"],"dc:subject":["Physics"],"dc:title":["Standardized development of microarray technology via substrate-independent surface coatings"],"dc:type":["Thesis"],"dc:type.qualificationlevel":["doctoral"],"dc:type.qualificationname":["phd"]},"updated_at":"2026-07-24T06:26:22Z"}