Modeling Chemical Tests and Fiber Identification of Paper Materials Using Principal Component Analysis and Specular Reflection FTIR Data
Paper materials and works of art on paper such as drawings, watercolors, prints, books, and manuscripts represent a large portion of museum, archive, and library collections. However, paper materials are infrequently the subject of technical studies due to inherent limitations in their analysis such...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Heritage |
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| Online Access: | https://www.mdpi.com/2571-9408/5/3/102 |
| _version_ | 1797487723149262848 |
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| author | Julie H. Wertz Arthur A. McClelland Debora D. Mayer Penley Knipe |
| author_facet | Julie H. Wertz Arthur A. McClelland Debora D. Mayer Penley Knipe |
| author_sort | Julie H. Wertz |
| collection | DOAJ |
| description | Paper materials and works of art on paper such as drawings, watercolors, prints, books, and manuscripts represent a large portion of museum, archive, and library collections. However, paper materials are infrequently the subject of technical studies due to inherent limitations in their analysis such as the fragility of the paper substrate, a lack of suitable sampling opportunities, and the presence of mixed, but chemically similar cellulosic materials. The application of principal component analysis (PCA) modeling to specular reflection FTIR data has the potential to provide a non-invasive means of analysis for major and minor components in paper materials. Using known study collection objects, PCA models distinguishing paper sizing materials and fiber types based on specular reflection FTIR data were successfully demonstrated thus providing a plausible alternative method for the identification of paper materials in collection objects without the need for destructive testing or sampling of the object. |
| first_indexed | 2024-03-09T23:51:49Z |
| format | Article |
| id | doaj.art-a619ec8e37db4cf09c5c7aa7244e97eb |
| institution | Directory Open Access Journal |
| issn | 2571-9408 |
| language | English |
| last_indexed | 2024-03-09T23:51:49Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Heritage |
| spelling | doaj.art-a619ec8e37db4cf09c5c7aa7244e97eb2023-11-23T16:32:20ZengMDPI AGHeritage2571-94082022-08-01531960197310.3390/heritage5030102Modeling Chemical Tests and Fiber Identification of Paper Materials Using Principal Component Analysis and Specular Reflection FTIR DataJulie H. Wertz0Arthur A. McClelland1Debora D. Mayer2Penley Knipe3Straus Center for Conservation and Technical Studies, Harvard Art Museums, Cambridge, MA 02138, USACenter for Nanoscale Systems, Harvard University, Cambridge, MA 02138, USAWeissman Preservation Center, Harvard University, Cambridge, MA 02138, USAStraus Center for Conservation and Technical Studies, Harvard Art Museums, Cambridge, MA 02138, USAPaper materials and works of art on paper such as drawings, watercolors, prints, books, and manuscripts represent a large portion of museum, archive, and library collections. However, paper materials are infrequently the subject of technical studies due to inherent limitations in their analysis such as the fragility of the paper substrate, a lack of suitable sampling opportunities, and the presence of mixed, but chemically similar cellulosic materials. The application of principal component analysis (PCA) modeling to specular reflection FTIR data has the potential to provide a non-invasive means of analysis for major and minor components in paper materials. Using known study collection objects, PCA models distinguishing paper sizing materials and fiber types based on specular reflection FTIR data were successfully demonstrated thus providing a plausible alternative method for the identification of paper materials in collection objects without the need for destructive testing or sampling of the object.https://www.mdpi.com/2571-9408/5/3/102specular reflection FTIRprincipal component analysis PCApaper fiber identificationpaper sizing identification |
| spellingShingle | Julie H. Wertz Arthur A. McClelland Debora D. Mayer Penley Knipe Modeling Chemical Tests and Fiber Identification of Paper Materials Using Principal Component Analysis and Specular Reflection FTIR Data Heritage specular reflection FTIR principal component analysis PCA paper fiber identification paper sizing identification |
| title | Modeling Chemical Tests and Fiber Identification of Paper Materials Using Principal Component Analysis and Specular Reflection FTIR Data |
| title_full | Modeling Chemical Tests and Fiber Identification of Paper Materials Using Principal Component Analysis and Specular Reflection FTIR Data |
| title_fullStr | Modeling Chemical Tests and Fiber Identification of Paper Materials Using Principal Component Analysis and Specular Reflection FTIR Data |
| title_full_unstemmed | Modeling Chemical Tests and Fiber Identification of Paper Materials Using Principal Component Analysis and Specular Reflection FTIR Data |
| title_short | Modeling Chemical Tests and Fiber Identification of Paper Materials Using Principal Component Analysis and Specular Reflection FTIR Data |
| title_sort | modeling chemical tests and fiber identification of paper materials using principal component analysis and specular reflection ftir data |
| topic | specular reflection FTIR principal component analysis PCA paper fiber identification paper sizing identification |
| url | https://www.mdpi.com/2571-9408/5/3/102 |
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