Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/27683
Title: Surface chemistry of oil-filled nanoparticle coated papers analyzed by micro-Raman mapping
Authors: SAMYN, Pieter 
VANDAMME, Dries 
ADRIAENSENS, Peter 
CARLEER, Robert 
Issue Date: 2019
Source: APPLIED SPECTROSCOPY, 73 (1), p. 67-77
Abstract: Raman spectroscopy and micro-Raman mapping have been used to study the distribution of different chemical components at the surface of coated papers. The paper coatings contain organic nanoparticles with a structure of poly(styrene-comaleimide) and encapsulated vegetable oils. Raman spectroscopy is able to differentiate between various types of oil, i.e., polyunsaturated, monounsaturated, or saturated, and indicates that the degree of imidization and reactivity of the oil (amount of free oil) complement each other. The surface mapping over large areas (5 5 mm2 ) illustrates good homogeneity of the coating layer and even surface coverage. The imide and oil are homogeneously distributed within the coating itself without a tendency for agglomeration. The covered areas of imide and oil mostly overlap for polyunsaturated oils, while larger amounts of oil occur outside the imide zones for monounsaturated and saturated oils. The latter indicates that the oil is partly ‘‘free’’ within the coating and acts as a continuous binder phase. The surface mapping over smaller areas (1 1 mm2 ) shows the coating and cellulose covered areas are complementary. The surface maps confirm that interaction between the coating and paper substrate happens through hydrogen bonding. Heterogeneities in the coating are due to the presence of remaining ammonolyzed maleic anhydride precursors forming amic acid moieties. The organic phase, oil phase, and cellulose substrate can also be differentiated by principal component analysis of the surface maps.
Notes: Samyn, P (reprint author), Univ Hasselt, Agoralaan Gebouw D, B-3590 Diepenbeek, Belgium. Pieter.Samyn@uhasselt.be
Keywords: Raman; chemical mapping; paper; coating; principal component analysis; PCA
Document URI: http://hdl.handle.net/1942/27683
ISSN: 0003-7028
e-ISSN: 1943-3530
DOI: 10.1177/0003702818804864
ISI #: 000454512400006
Category: A1
Type: Journal Contribution
Validations: ecoom 2020
Appears in Collections:Research publications

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