{"data":{"id":"10.6084/m9.figshare.6968144.v1","type":"dois","attributes":{"doi":"10.6084/m9.figshare.6968144.v1","prefix":"10.6084","suffix":"m9.figshare.6968144.v1","identifiers":[],"alternateIdentifiers":[],"creators":[{"name":"Alianda Dantas De Oliveira","affiliation":[],"nameIdentifiers":[]},{"name":"Vitor Hugo Da Silva","affiliation":[],"nameIdentifiers":[]},{"name":"Pimentel, Maria Fernanda","nameType":"Personal","givenName":"Maria Fernanda","familyName":"Pimentel","affiliation":[],"nameIdentifiers":[]},{"name":"Vinhas, Glória Maria","nameType":"Personal","givenName":"Glória Maria","familyName":"Vinhas","affiliation":[],"nameIdentifiers":[]},{"name":"Pasquini, Celio","nameType":"Personal","givenName":"Celio","familyName":"Pasquini","affiliation":[],"nameIdentifiers":[]},{"name":"Yêda Medeiros Bastos De Almeida","affiliation":[],"nameIdentifiers":[]}],"titles":[{"title":"Use of Infrared Spectroscopy and Near Infrared Hyperspectral Images to Evaluate Effects of Different Chemical Agents on PET Bottle Surface"}],"publisher":"SciELO journals","container":{},"publicationYear":2018,"subjects":[{"subject":"90499 Chemical Engineering not elsewhere classified","subjectScheme":"FOR"},{"subject":"FOS: Chemical engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Chemical engineering","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"91207 Metals and Alloy Materials","subjectScheme":"FOR"},{"subject":"FOS: Materials engineering","schemeUri":"http://www.oecd.org/science/inno/38235147.pdf","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"FOS: Materials engineering","subjectScheme":"Fields of Science and Technology (FOS)"},{"subject":"91299 Materials Engineering not elsewhere classified","subjectScheme":"FOR"}],"contributors":[],"dates":[{"date":"2018-08-15","dateType":"Created"},{"date":"2018-08-15","dateType":"Updated"},{"date":"2018","dateType":"Issued"}],"language":null,"types":{"ris":"DATA","bibtex":"misc","citeproc":"dataset","schemaOrg":"Dataset","resourceType":"Dataset","resourceTypeGeneral":"Dataset"},"relatedIdentifiers":[{"relationType":"IsSupplementTo","relatedIdentifier":"10.1590/1980-5373-mr-2017-0949","relatedIdentifierType":"DOI"},{"relationType":"IsIdenticalTo","relatedIdentifier":"10.6084/m9.figshare.6968144","relatedIdentifierType":"DOI"}],"relatedItems":[],"sizes":["3750067 Bytes"],"formats":[],"version":null,"rightsList":[{"rights":"Creative Commons Attribution 4.0 International","rightsUri":"https://creativecommons.org/licenses/by/4.0/legalcode","schemeUri":"https://spdx.org/licenses/","rightsIdentifier":"cc-by-4.0","rightsIdentifierScheme":"SPDX"}],"descriptions":[{"description":"PET - poly (ethylene terephthalate) - bottle surfaces were exposed to chemical agents and evaluated with middle infrared spectroscopy (MIR) and near infrared hyperspectral imaging (HSI-NIR). Images (928-2.524 nm) were acquired at different times from bottle surfaces exposed to alkaline, acidic and ethanolic media. Savitzky-Golay smoothing (2nd order polynomial and 5-point window) combined with Standard Normal Variate (SNV) was used for pre-processing data. Scores from principal component analysis (PCA) on images showed discrimination of PET according to exposure time, particularly when employing NaOH. After the first two hours of chemical exposure, significant contribution of the (-C-O + OH) combination band indicated formation of glycol ethylene on the PET surface, which was confirmed from PCA loading plots. MIR reflectance spectra ranged from 4.000 to 650 cm-1. Changes in spectral intensities could be associated with depolymerization of PET when exposed to NaOH. These were confirmed with PCA and attributed to the carboxylate group of terephthalate.","descriptionType":"Abstract"}],"geoLocations":[],"fundingReferences":[],"xml":"PD94bWwgdmVyc2lvbj0iMS4wIiBlbmNvZGluZz0iVVRGLTgiPz4KPHJlc291cmNlIHhtbG5zPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCIgeG1sbnM6eHNpPSJodHRwOi8vd3d3LnczLm9yZy8yMDAxL1hNTFNjaGVtYS1pbnN0YW5jZSIgeHNpOnNjaGVtYUxvY2F0aW9uPSJodHRwOi8vZGF0YWNpdGUub3JnL3NjaGVtYS9rZXJuZWwtNCBodHRwOi8vc2NoZW1hLmRhdGFjaXRlLm9yZy9tZXRhL2tlcm5lbC00LjEvbWV0YWRhdGEueHNkIj4KICA8aWRlbnRpZmllciBpZGVudGlmaWVyVHlwZT0iRE9JIj4xMC42MDg0L005LkZJR1NIQVJFLjY5NjgxNDQuVjE8L2lkZW50aWZpZXI+CiAgPGNyZWF0b3JzPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5BbGlhbmRhIERhbnRhcyBkZSBPbGl2ZWlyYTwvY3JlYXRvck5hbWU+CiAgICA8L2NyZWF0b3I+CiAgICA8Y3JlYXRvcj4KICAgICAgPGNyZWF0b3JOYW1lPlZpdG9yIEh1Z28gZGEgU2lsdmE8L2NyZWF0b3JOYW1lPgogICAgPC9jcmVhdG9yPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5NYXJpYSBGZXJuYW5kYSBQaW1lbnRlbDwvY3JlYXRvck5hbWU+CiAgICA8L2NyZWF0b3I+CiAgICA8Y3JlYXRvcj4KICAgICAgPGNyZWF0b3JOYW1lPkdsw7NyaWEgTWFyaWEgVmluaGFzPC9jcmVhdG9yTmFtZT4KICAgIDwvY3JlYXRvcj4KICAgIDxjcmVhdG9yPgogICAgICA8Y3JlYXRvck5hbWU+Q2VsaW8gUGFzcXVpbmk8L2NyZWF0b3JOYW1lPgogICAgPC9jcmVhdG9yPgogICAgPGNyZWF0b3I+CiAgICAgIDxjcmVhdG9yTmFtZT5Zw6pkYSBNZWRlaXJvcyBCYXN0b3MgZGUgQWxtZWlkYTwvY3JlYXRvck5hbWU+CiAgICA8L2NyZWF0b3I+CiAgPC9jcmVhdG9ycz4KICA8dGl0bGVzPgogICAgPHRpdGxlPlVzZSBvZiBJbmZyYXJlZCBTcGVjdHJvc2NvcHkgYW5kIE5lYXIgSW5mcmFyZWQgSHlwZXJzcGVjdHJhbCBJbWFnZXMgdG8gRXZhbHVhdGUgRWZmZWN0cyBvZiBEaWZmZXJlbnQgQ2hlbWljYWwgQWdlbnRzIG9uIFBFVCBCb3R0bGUgU3VyZmFjZTwvdGl0bGU+CiAgPC90aXRsZXM+CiAgPGRlc2NyaXB0aW9ucz4KICAgIDxkZXNjcmlwdGlvbiBkZXNjcmlwdGlvblR5cGU9IkFic3RyYWN0Ij4mbHQ7ZGl2Jmd0OyZsdDtwJmd0O1BFVCAtIHBvbHkgKGV0aHlsZW5lIHRlcmVwaHRoYWxhdGUpIC0gYm90dGxlIHN1cmZhY2VzIHdlcmUgZXhwb3NlZCB0byBjaGVtaWNhbCBhZ2VudHMgYW5kIGV2YWx1YXRlZCB3aXRoIG1pZGRsZSBpbmZyYXJlZCBzcGVjdHJvc2NvcHkgKE1JUikgYW5kIG5lYXIgaW5mcmFyZWQgaHlwZXJzcGVjdHJhbCBpbWFnaW5nIChIU0ktTklSKS4gSW1hZ2VzICg5MjgtMi41MjQgbm0pIHdlcmUgYWNxdWlyZWQgYXQgZGlmZmVyZW50IHRpbWVzIGZyb20gYm90dGxlIHN1cmZhY2VzIGV4cG9zZWQgdG8gYWxrYWxpbmUsIGFjaWRpYyBhbmQgZXRoYW5vbGljIG1lZGlhLiBTYXZpdHpreS1Hb2xheSBzbW9vdGhpbmcgKDJuZCBvcmRlciBwb2x5bm9taWFsIGFuZCA1LXBvaW50IHdpbmRvdykgY29tYmluZWQgd2l0aCBTdGFuZGFyZCBOb3JtYWwgVmFyaWF0ZSAoU05WKSB3YXMgdXNlZCBmb3IgcHJlLXByb2Nlc3NpbmcgZGF0YS4gU2NvcmVzIGZyb20gcHJpbmNpcGFsIGNvbXBvbmVudCBhbmFseXNpcyAoUENBKSBvbiBpbWFnZXMgc2hvd2VkIGRpc2NyaW1pbmF0aW9uIG9mIFBFVCBhY2NvcmRpbmcgdG8gZXhwb3N1cmUgdGltZSwgcGFydGljdWxhcmx5IHdoZW4gZW1wbG95aW5nIE5hT0guIEFmdGVyIHRoZSBmaXJzdCB0d28gaG91cnMgb2YgY2hlbWljYWwgZXhwb3N1cmUsIHNpZ25pZmljYW50IGNvbnRyaWJ1dGlvbiBvZiB0aGUgKC1DLU8gKyBPSCkgY29tYmluYXRpb24gYmFuZCBpbmRpY2F0ZWQgZm9ybWF0aW9uIG9mIGdseWNvbCBldGh5bGVuZSBvbiB0aGUgUEVUIHN1cmZhY2UsIHdoaWNoIHdhcyBjb25maXJtZWQgZnJvbSBQQ0EgbG9hZGluZyBwbG90cy4gTUlSIHJlZmxlY3RhbmNlIHNwZWN0cmEgcmFuZ2VkIGZyb20gNC4wMDAgdG8gNjUwIGNtLTEuIENoYW5nZXMgaW4gc3BlY3RyYWwgaW50ZW5zaXRpZXMgY291bGQgYmUgYXNzb2NpYXRlZCB3aXRoIGRlcG9seW1lcml6YXRpb24gb2YgUEVUIHdoZW4gZXhwb3NlZCB0byBOYU9ILiBUaGVzZSB3ZXJlIGNvbmZpcm1lZCB3aXRoIFBDQSBhbmQgYXR0cmlidXRlZCB0byB0aGUgY2FyYm94eWxhdGUgZ3JvdXAgb2YgdGVyZXBodGhhbGF0ZS4mbHQ7L3AmZ3Q7Jmx0Oy9kaXYmZ3Q7PC9kZXNjcmlwdGlvbj4KICA8L2Rlc2NyaXB0aW9ucz4KICA8c3ViamVjdHM+CiAgICA8c3ViamVjdCBzY2hlbWVVUkk9Imh0dHA6Ly93d3cuYWJzLmdvdi5hdS9hdXNzdGF0cy9hYnNALm5zZi8wLzZCQjQyN0FCOTY5NkMyMjVDQTI1NzQxODAwMDQ0NjNFIiBzdWJqZWN0U2NoZW1lPSJGT1IiPjkwNDk5IENoZW1pY2FsIEVuZ2luZWVyaW5nIG5vdCBlbHNld2hlcmUgY2xhc3NpZmllZDwvc3ViamVjdD4KICAgIDxzdWJqZWN0IHNjaGVtZVVSST0iaHR0cDovL3d3dy5hYnMuZ292LmF1L2F1c3N0YXRzL2Fic0AubnNmLzAvNkJCNDI3QUI5Njk2QzIyNUNBMjU3NDE4MDAwNDQ2M0UiIHN1YmplY3RTY2hlbWU9IkZPUiI+OTEyMDcgTWV0YWxzIGFuZCBBbGxveSBNYXRlcmlhbHM8L3N1YmplY3Q+CiAgICA8c3ViamVjdCBzY2hlbWVVUkk9Imh0dHA6Ly93d3cuYWJzLmdvdi5hdS9hdXNzdGF0cy9hYnNALm5zZi8wLzZCQjQyN0FCOTY5NkMyMjVDQTI1NzQxODAwMDQ0NjNFIiBzdWJqZWN0U2NoZW1lPSJGT1IiPjkxMjk5IE1hdGVyaWFscyBFbmdpbmVlcmluZyBub3QgZWxzZXdoZXJlIGNsYXNzaWZpZWQ8L3N1YmplY3Q+CiAgPC9zdWJqZWN0cz4KICA8cHVibGlzaGVyPlNjaUVMTyBqb3VybmFsczwvcHVibGlzaGVyPgogIDxwdWJsaWNhdGlvblllYXI+MjAxODwvcHVibGljYXRpb25ZZWFyPgogIDxkYXRlcz4KICAgIDxkYXRlIGRhdGVUeXBlPSJDcmVhdGVkIj4yMDE4LTA4LTE1PC9kYXRlPgogICAgPGRhdGUgZGF0ZVR5cGU9IlVwZGF0ZWQiPjIwMTgtMDgtMTU8L2RhdGU+CiAgPC9kYXRlcz4KICA8cmVzb3VyY2VUeXBlIHJlc291cmNlVHlwZUdlbmVyYWw9IkRhdGFzZXQiPkRhdGFzZXQ8L3Jlc291cmNlVHlwZT4KICA8c2l6ZXM+CiAgICA8c2l6ZT4zNzUwMDY3IEJ5dGVzPC9zaXplPgogIDwvc2l6ZXM+CiAgPHJlbGF0ZWRJZGVudGlmaWVycz4KICAgIDxyZWxhdGVkSWRlbnRpZmllciByZWxhdGVkSWRlbnRpZmllclR5cGU9IkRPSSIgcmVsYXRpb25UeXBlPSJJc1N1cHBsZW1lbnRUbyI+MTAuMTU5MC8xOTgwLTUzNzMtbXItMjAxNy0wOTQ5PC9yZWxhdGVkSWRlbnRpZmllcj4KICAgIDxyZWxhdGVkSWRlbnRpZmllciByZWxhdGVkSWRlbnRpZmllclR5cGU9IkRPSSIgcmVsYXRpb25UeXBlPSJJc0lkZW50aWNhbFRvIj4xMC42MDg0L205LmZpZ3NoYXJlLjY5NjgxNDQ8L3JlbGF0ZWRJZGVudGlmaWVyPgogIDwvcmVsYXRlZElkZW50aWZpZXJzPgogIDxyaWdodHNMaXN0PgogICAgPHJpZ2h0cyByaWdodHNVUkk9Imh0dHBzOi8vY3JlYXRpdmVjb21tb25zLm9yZy9saWNlbnNlcy9ieS80LjAvIj5DQyBCWSA0LjA8L3JpZ2h0cz4KICA8L3JpZ2h0c0xpc3Q+CjwvcmVzb3VyY2U+","url":"https://scielo.figshare.com/articles/Use_of_Infrared_Spectroscopy_and_Near_Infrared_Hyperspectral_Images_to_Evaluate_Effects_of_Diff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