{"id":{"repo_id":"etsu","oai_identifier":"oai:dc.etsu.edu:etd-3341"},"canonical_url":"https://search.dev.ndltd.org/etd/etsu/oai:dc.etsu.edu:etd-3341","repository":{"repo_id":"etsu","name":"East Tennessee State University","base_url":"https://dc.etsu.edu/do/oai/"},"display":{"title":"Study on Methods of Simultaneous Multi-Component Analysis.","abstract":"<p>Many new instrumentation and different instrumental techniques have been developed to deal with increasing complexity of samples encountered. Many researchers also have coupled these instrumental techniques with chemometric algorithms to assist in the quantitative analysis of multi-component samples in the hope of alleviating the need of tedious separation and cleanup procedures. These newer chemometric procedures tend to be complex and difficult to understand and implement and are successful under different circumstances and conditions. In this study, we start from the very simple beginning and examine the factors that can present difficulties with obtaining the correct results and observe how the system behaves so as to find a better and simpler chemometric procedure to perform mixture quantitative analysis. We have used simulated and actual experimental data obtained from a UV-VIS spectrophotometric measurement of metal complexes to conduct the study. Well understood and defined systems tend to give good results. The main obstacle has been, and still is, interferences in spectral information one gets from the measurement.</p>","abstract_html":"&lt;p&gt;Many new instrumentation and different instrumental techniques have been developed to deal with increasing complexity of samples encountered. Many researchers also have coupled these instrumental techniques with chemometric algorithms to assist in the quantitative analysis of multi-component samples in the hope of alleviating the need of tedious separation and cleanup procedures. These newer chemometric procedures tend to be complex and difficult to understand and implement and are successful under different circumstances and conditions. In this study, we start from the very simple beginning and examine the factors that can present difficulties with obtaining the correct results and observe how the system behaves so as to find a better and simpler chemometric procedure to perform mixture quantitative analysis. We have used simulated and actual experimental data obtained from a UV-VIS spectrophotometric measurement of metal complexes to conduct the study. Well understood and defined systems tend to give good results. The main obstacle has been, and still is, interferences in spectral information one gets from the measurement.&lt;/p&gt;","abstract_has_math":false,"creators":["Ashie, Jennifer Bernice"],"institution":null,"degree_name":"MS (Master of Science)","degree_level":"Thesis - unrestricted","degree_discipline":"Chemistry","degree_department":null,"school":null,"contributors":[],"advisors":[],"committee_chairs":[],"committee_members":[],"year":2008,"date_issued":"2008-12-13T08:00:00Z","date_published":"2008-12-13T08:00:00Z","updated_at":"2026-07-24T02:21:11Z","subjects":["UV-visible Spectrophotometry","Copper(II)","Iron(III)","Multi-Component","Analytical Chemistry","Chemistry","Physical Sciences and Mathematics"],"languages":[],"rights":["Copyright by the authors."],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"https://dc.etsu.edu/etd/1989","outbound_label":"Repository record","outbound_source":"dc:identifier"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:creator","label":"Author","values":["Ashie, Jennifer Bernice"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.issued","label":"Date","values":["2008-12-13T08:00:00Z"]},{"key":"thesis:degree_discipline","label":"Discipline","values":["Chemistry"]},{"key":"thesis:degree_level","label":"Degree Level","values":["Thesis - unrestricted"]},{"key":"thesis:degree_name","label":"Degree Name","values":["MS (Master of Science)"]}]},{"id":"subjects_keywords","label":"Subjects and Keywords","entries":[{"key":"dc:subject","label":"Dc Subject","values":["UV-visible Spectrophotometry","Copper(II)","Iron(III)","Multi-Component","Analytical Chemistry","Chemistry","Physical Sciences and Mathematics"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:rights","label":"Dc Rights","values":["Copyright by the authors."]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier","label":"Identifier","values":["https://dc.etsu.edu/context/etd/article/3341/viewcontent/AshieJ081808f.pdf","https://dc.etsu.edu/etd/1989"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description.abstract","label":"Abstract","values":["<p>Many new instrumentation and different instrumental techniques have been developed to deal with increasing complexity of samples encountered. Many researchers also have coupled these instrumental techniques with chemometric algorithms to assist in the quantitative analysis of multi-component samples in the hope of alleviating the need of tedious separation and cleanup procedures. These newer chemometric procedures tend to be complex and difficult to understand and implement and are successful under different circumstances and conditions. In this study, we start from the very simple beginning and examine the factors that can present difficulties with obtaining the correct results and observe how the system behaves so as to find a better and simpler chemometric procedure to perform mixture quantitative analysis. We have used simulated and actual experimental data obtained from a UV-VIS spectrophotometric measurement of metal complexes to conduct the study. Well understood and defined systems tend to give good results. The main obstacle has been, and still is, interferences in spectral information one gets from the measurement.</p>"]},{"key":"dc:title","label":"Title","values":["Study on Methods of Simultaneous Multi-Component Analysis."]}]}],"canonical_facts":{"dc:creator":["Ashie, Jennifer Bernice"],"dc:date.issued":["2008-12-13T08:00:00Z"],"dc:description.abstract":["<p>Many new instrumentation and different instrumental techniques have been developed to deal with increasing complexity of samples encountered. Many researchers also have coupled these instrumental techniques with chemometric algorithms to assist in the quantitative analysis of multi-component samples in the hope of alleviating the need of tedious separation and cleanup procedures. These newer chemometric procedures tend to be complex and difficult to understand and implement and are successful under different circumstances and conditions. In this study, we start from the very simple beginning and examine the factors that can present difficulties with obtaining the correct results and observe how the system behaves so as to find a better and simpler chemometric procedure to perform mixture quantitative analysis. We have used simulated and actual experimental data obtained from a UV-VIS spectrophotometric measurement of metal complexes to conduct the study. Well understood and defined systems tend to give good results. The main obstacle has been, and still is, interferences in spectral information one gets from the measurement.</p>"],"dc:identifier":["https://dc.etsu.edu/context/etd/article/3341/viewcontent/AshieJ081808f.pdf","https://dc.etsu.edu/etd/1989"],"dc:rights":["Copyright by the authors."],"dc:subject":["UV-visible Spectrophotometry","Copper(II)","Iron(III)","Multi-Component","Analytical Chemistry","Chemistry","Physical Sciences and Mathematics"],"dc:title":["Study on Methods of Simultaneous Multi-Component Analysis."],"thesis:degree_discipline":["Chemistry"],"thesis:degree_level":["Thesis - unrestricted"],"thesis:degree_name":["MS (Master of Science)"]},"updated_at":"2026-07-24T02:21:11Z"}