{"id":{"repo_id":"brock","oai_identifier":"oai:brocku.scholaris.ca:10464/16662"},"canonical_url":"https://search.dev.ndltd.org/etd/brock/oai:brocku.scholaris.ca:10464/16662","repository":{"repo_id":"brock","name":"Brock University","base_url":"https://brocku.scholaris.ca/server/oai/request"},"display":{"title":"Exploring horticultural and ecological chemistry through mass spectrometry-based metabolite profiling","abstract":"Advances in mass spectrometry have provided researchers with powerful hypothesis-generating and exploratory tools for studying plant chemistry. However, identification of data is a major bottleneck due to the difficulty obtaining standards, overreliance on cheminformatics tools, and lack of interdisciplinary expertise. This work focuses on overcoming these challenges by pairing mass spectrometry-based metabolite profiling (MS-BMP) with heuristic techniques and likelihood assessments for exploring plant chemistry through interdisciplinary, collaborative approaches, and using complementary techniques to test hypotheses generated by exploratory metabolomics; the work focuses on projects that couldn’t progress without identification of compounds, for which standards were not readily available.","abstract_html":"Advances in mass spectrometry have provided researchers with powerful hypothesis-generating and exploratory tools for studying plant chemistry. However, identification of data is a major bottleneck due to the difficulty obtaining standards, overreliance on cheminformatics tools, and lack of interdisciplinary expertise. This work focuses on overcoming these challenges by pairing mass spectrometry-based metabolite profiling (MS-BMP) with heuristic techniques and likelihood assessments for exploring plant chemistry through interdisciplinary, collaborative approaches, and using complementary techniques to test hypotheses generated by exploratory metabolomics; the work focuses on projects that couldn’t progress without identification of compounds, for which standards were not readily available.","abstract_has_math":false,"creators":["Kempthorne, Christine"],"institution":"Brock University","degree_name":"Ph.D. Biotechnology","degree_level":"Doctoral","degree_discipline":"Faculty of Mathematics and Science","degree_department":"Centre for Biotechnology","school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2022,"date_issued":"2022-09-28T15:52:21Z","date_published":"2022-09-28T15:52:21Z","updated_at":"2026-07-24T01:23:07Z","subjects":["tomato"],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/10464/16662","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.department","label":"Department","values":["Centre for Biotechnology"]},{"key":"dc:creator","label":"Author","values":["Kempthorne, Christine"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2022-09-28T15:52:21Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2022-09-28T15:52:21Z"]},{"key":"dc:date.issued","label":"Date","values":["2022-09-28T15:52:21Z"]},{"key":"dc:type","label":"Dc Type","values":["Electronic Thesis or Dissertation"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Faculty of Mathematics and Science"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Doctoral"]},{"key":"thesis:degree_name","label":"Degree Name","values":["Ph.D. Biotechnology"]},{"key":"thesis:institution_name","label":"Thesis Institution Name","values":["Brock University"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["tomato"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/10464/16662"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["Advances in mass spectrometry have provided researchers with powerful hypothesis-generating and exploratory tools for studying plant chemistry. However, identification of data is a major bottleneck due to the difficulty obtaining standards, overreliance on cheminformatics tools, and lack of interdisciplinary expertise. This work focuses on overcoming these challenges by pairing mass spectrometry-based metabolite profiling (MS-BMP) with heuristic techniques and likelihood assessments for exploring plant chemistry through interdisciplinary, collaborative approaches, and using complementary techniques to test hypotheses generated by exploratory metabolomics; the work focuses on projects that couldn’t progress without identification of compounds, for which standards were not readily available."]},{"key":"dc:title","label":"Title","values":["Exploring horticultural and ecological chemistry through mass spectrometry-based metabolite profiling"]}]}],"canonical_facts":{"dc:contributor.department":["Centre for Biotechnology"],"dc:creator":["Kempthorne, Christine"],"dc:date.accessioned":["2022-09-28T15:52:21Z"],"dc:date.available":["2022-09-28T15:52:21Z"],"dc:date.issued":["2022-09-28T15:52:21Z"],"dc:description.abstract":["Advances in mass spectrometry have provided researchers with powerful hypothesis-generating and exploratory tools for studying plant chemistry. However, identification of data is a major bottleneck due to the difficulty obtaining standards, overreliance on cheminformatics tools, and lack of interdisciplinary expertise. This work focuses on overcoming these challenges by pairing mass spectrometry-based metabolite profiling (MS-BMP) with heuristic techniques and likelihood assessments for exploring plant chemistry through interdisciplinary, collaborative approaches, and using complementary techniques to test hypotheses generated by exploratory metabolomics; the work focuses on projects that couldn’t progress without identification of compounds, for which standards were not readily available."],"dc:identifier.uri":["http://hdl.handle.net/10464/16662"],"dc:language.iso":["eng"],"dc:subject":["tomato"],"dc:title":["Exploring horticultural and ecological chemistry through mass spectrometry-based metabolite profiling"],"dc:type":["Electronic Thesis or Dissertation"],"thesis:degree_discipline":["Faculty of Mathematics and Science"],"thesis:degree_level":["Doctoral"],"thesis:degree_name":["Ph.D. Biotechnology"],"thesis:institution_name":["Brock University"]},"updated_at":"2026-07-24T01:23:07Z"}