{"id":{"repo_id":"uiuc","oai_identifier":"oai:www.ideals.illinois.edu:2142/93062"},"canonical_url":"https://search.dev.ndltd.org/etd/uiuc/oai:www.ideals.illinois.edu:2142/93062","repository":{"repo_id":"uiuc","name":"University of Illinois - Urbana-Champaign","base_url":"https://www.ideals.illinois.edu/oai-pmh"},"display":{"title":"Colorimetric sensor arrays: development and application to art conservation","abstract":"\"This dissertation explores the optimization, development and application of cost-effective, compact colorimetric arrays, focusing specially on their use in the cultural heritage and art conservation communities. One of Society's most important cultural responsibilities is the preservation of the past for the future. The surest way to protect a cultural heritage material from damage is to control the environment in which it is displayed. While there are a number of monitoring techniques available, there are many limitations (e.g., cost, portability) or problems (e.g., lack of desired sensitivity, time consuming, need for laboratory personnel). The Suslick Group believes we have a technology that could become a valuable tool for museum professionals. Chapter 1 provides a comprehensive review of destructive air pollutants in conservation environments and the existing methods to monitor and quantify them. This chapter serves to lay the groundwork for why low-cost, convenient colorimetric array technology is crucial. Chapter 2 optimizes the performance of portable colorimetric arrays, establishing them as an invaluable technology for museums and art conservationists. Chapter 3 provides a quantitative, side-by-side comparison of two standard colorimetric detection methods—RGB imaging and full reflectance spectrophotometry—in order to further improve the performance of these arrays. Finally, Chapter 4 applies the concepts learned in this work and in past work from the Suslick group, to extend with new sensor chemistry and detection techniques, our already sensitive optoelectronic nose technology into one capable of detecting museum pollutants in a variety of environments. In addition, this chapter addresses a study that uses this technology, through an exciting collaboration with the Getty Conservation Institute and the Walt Disney Animation Research Library, to make trial experiments in the monitoring of artwork from the Walt Disney Animation Research Library exhibition in Beijing, \"\"Drawn from Life: the Art of Disney Animation Studios\"\", in order to monitor pollutant exposure both during shipping and during exhibition.\"","abstract_html":""This dissertation explores the optimization, development and application of cost-effective, compact colorimetric arrays, focusing specially on their use in the cultural heritage and art conservation communities. One of Society's most important cultural responsibilities is the preservation of the past for the future. The surest way to protect a cultural heritage material from damage is to control the environment in which it is displayed. While there are a number of monitoring techniques available, there are many limitations (e.g., cost, portability) or problems (e.g., lack of desired sensitivity, time consuming, need for laboratory personnel). The Suslick Group believes we have a technology that could become a valuable tool for museum professionals. Chapter 1 provides a comprehensive review of destructive air pollutants in conservation environments and the existing methods to monitor and quantify them. This chapter serves to lay the groundwork for why low-cost, convenient colorimetric array technology is crucial. Chapter 2 optimizes the performance of portable colorimetric arrays, establishing them as an invaluable technology for museums and art conservationists. Chapter 3 provides a quantitative, side-by-side comparison of two standard colorimetric detection methods—RGB imaging and full reflectance spectrophotometry—in order to further improve the performance of these arrays. Finally, Chapter 4 applies the concepts learned in this work and in past work from the Suslick group, to extend with new sensor chemistry and detection techniques, our already sensitive optoelectronic nose technology into one capable of detecting museum pollutants in a variety of environments. In addition, this chapter addresses a study that uses this technology, through an exciting collaboration with the Getty Conservation Institute and the Walt Disney Animation Research Library, to make trial experiments in the monitoring of artwork from the Walt Disney Animation Research Library exhibition in Beijing, ""Drawn from Life: the Art of Disney Animation Studios"", in order to monitor pollutant exposure both during shipping and during exhibition."","abstract_has_math":false,"creators":["LaGasse, Maria Kathleen"],"institution":"University of Illinois at Urbana-Champaign","degree_name":"Ph.D.","degree_level":"Dissertation","degree_discipline":"Chemistry","degree_department":null,"school":null,"contributors":["Suslick, Kenneth S.","Scheeline, Alexander","Murphy, Catherine J.","Fout, Alison R."],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2016,"date_issued":"2016-11-10T18:43:01Z","date_published":"2016-11-10T18:43:01Z","updated_at":"2026-07-22T22:26:35Z","subjects":["gaseous pollutants","sensors","preventive conservation"],"languages":["en"],"rights":["Copyright 2016 Maria LaGasse"],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/2142/93062","outbound_label":"Handle","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor","label":"Contributor","values":["Suslick, Kenneth S.","Scheeline, Alexander","Murphy, Catherine J.","Fout, Alison R."]},{"key":"dc:creator","label":"Author","values":["LaGasse, Maria Kathleen"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date","label":"Dc Date","values":["2016-11-10T18:43:01Z","2018-11-11T10:15:28Z","2016-07-14","2016-08"]},{"key":"dc:type","label":"Dc Type","values":["text"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Chemistry"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Dissertation"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D."]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["University of Illinois at Urbana-Champaign"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["gaseous pollutants","sensors","preventive conservation"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language","label":"Dc Language","values":["en"]},{"key":"dc:rights","label":"Dc Rights","values":["Copyright 2016 Maria LaGasse"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["http://hdl.handle.net/2142/93062"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["\"This dissertation explores the optimization, development and application of cost-effective, compact colorimetric arrays, focusing specially on their use in the cultural heritage and art conservation communities. 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Chapter 3 provides a quantitative, side-by-side comparison of two standard colorimetric detection methods—RGB imaging and full reflectance spectrophotometry—in order to further improve the performance of these arrays. Finally, Chapter 4 applies the concepts learned in this work and in past work from the Suslick group, to extend with new sensor chemistry and detection techniques, our already sensitive optoelectronic nose technology into one capable of detecting museum pollutants in a variety of environments. In addition, this chapter addresses a study that uses this technology, through an exciting collaboration with the Getty Conservation Institute and the Walt Disney Animation Research Library, to make trial experiments in the monitoring of artwork from the Walt Disney Animation Research Library exhibition in Beijing, \"\"Drawn from Life: the Art of Disney Animation Studios\"\", in order to monitor pollutant exposure both during shipping and during exhibition.\"","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-08-01","The student, Maria LaGasse, accepted the attached license on 2016-07-13 at 16:25.","The student, Maria LaGasse, submitted this Dissertation for approval on 2016-07-13 at 16:31.","This Dissertation was approved for publication on 2016-07-14 at 14:31.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9931 on 2016-11-10 at 12:25:22","Made available in DSpace on 2016-11-10T18:43:01Z (GMT). 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Chapter 3 provides a quantitative, side-by-side comparison of two standard colorimetric detection methods—RGB imaging and full reflectance spectrophotometry—in order to further improve the performance of these arrays. Finally, Chapter 4 applies the concepts learned in this work and in past work from the Suslick group, to extend with new sensor chemistry and detection techniques, our already sensitive optoelectronic nose technology into one capable of detecting museum pollutants in a variety of environments. In addition, this chapter addresses a study that uses this technology, through an exciting collaboration with the Getty Conservation Institute and the Walt Disney Animation Research Library, to make trial experiments in the monitoring of artwork from the Walt Disney Animation Research Library exhibition in Beijing, \"\"Drawn from Life: the Art of Disney Animation Studios\"\", in order to monitor pollutant exposure both during shipping and during exhibition.\"","Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2018-08-01","The student, Maria LaGasse, accepted the attached license on 2016-07-13 at 16:25.","The student, Maria LaGasse, submitted this Dissertation for approval on 2016-07-13 at 16:31.","This Dissertation was approved for publication on 2016-07-14 at 14:31.","DSpace SAF Submission Ingestion Package generated from Vireo submission #9931 on 2016-11-10 at 12:25:22","Made available in DSpace on 2016-11-10T18:43:01Z (GMT). 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