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International Journal of Polymer Science
Volume 2018, Article ID 1895683, 11 pages
Research Article

Evaluation of Antifingerprint Properties of Plastic Surfaces Used in Automotive Components

1Dipartimento di Chimica, Università di Torino, Via P. Giuria 7 10125, Torino, Italy
2GML, C.R.F. S.C.p.A, Corso Settembrini 40, 10135 Torino, Italy

Correspondence should be addressed to M. P. Luda; ti.otinu@adul.aloapairam

Received 17 May 2018; Revised 21 September 2018; Accepted 24 October 2018; Published 28 November 2018

Academic Editor: Stefano Turri

Copyright © 2018 M. P. Luda et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The antifingerprint properties of a range of surfaces produced with different technologies (in-mould decoration, in-mould labeling, and painted) were objectively evaluated by depositing on them in standard conditions an artificial fingerprint for direct determination of its visibility. The artificial fingerprint behaves similarly to the real human fingerprints. A classification method is then proposed to classify surfaces on the base of antifingerprint properties by measuring the roughness profile () and calculating the % variation of gloss (GU 20 and 60°), , luminance (), and diffuse reflectance () values after fingerprint deposition. This approach provides an objective and quantitative test method to determine visual antifingerprint properties of coated surfaces, instead of the “easy-to-clean” properties commonly evaluated. The data acquired provides a design guideline for fabricating visually fingerprint-free surfaces by controlling roughness, texture, color, and transparency of surfaces, with the aim of optically masking fingerprints.