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Validation of a Novel Technique and Evaluation of the Surface Free Energy of Food

Characterizing the physical properties of a surface is largely dependent on determining the contact angle exhibited by a liquid. Contact angles on the surfaces of rough and irregularly-shaped food samples are difficult to measure using a contact angle meter (goniometer). As a consequence, values for...

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Autores principales: Senturk Parreidt, Tugce, Schmid, Markus, Hauser, Carolin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5409319/
https://www.ncbi.nlm.nih.gov/pubmed/28425932
http://dx.doi.org/10.3390/foods6040031
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author Senturk Parreidt, Tugce
Schmid, Markus
Hauser, Carolin
author_facet Senturk Parreidt, Tugce
Schmid, Markus
Hauser, Carolin
author_sort Senturk Parreidt, Tugce
collection PubMed
description Characterizing the physical properties of a surface is largely dependent on determining the contact angle exhibited by a liquid. Contact angles on the surfaces of rough and irregularly-shaped food samples are difficult to measure using a contact angle meter (goniometer). As a consequence, values for the surface energy and its components can be mismeasured. The aim of this work was to use a novel contact angle measurement method, namely the snake-based ImageJ program, to accurately measure the contact angles of rough and irregular shapes, such as food samples, and so enable more accurate calculation of the surface energy of food materials. In order to validate the novel technique, the contact angles of three different test liquids on four different smooth polymer films were measured using both the ImageJ software with the DropSnake plugin and the widely used contact angle meter. The distributions of the values obtained by the two methods were different. Therefore, the contact angles, surface energies, and polar and dispersive components of plastic films obtained using the ImageJ program and the Drop Shape Analyzer (DSA) were interpreted with the help of simple linear regression analysis. As case studies, the superficial characteristics of strawberry and endive salad epicarp were measured with the ImageJ program and the results were interpreted with the Drop Shape Analyzer equivalent according to our regression models. The data indicated that the ImageJ program can be successfully used for contact angle determination of rough and strongly hydrophobic surfaces, such as strawberry epicarp. However, for the special geometry of droplets on slightly hydrophobic surfaces, such as salad leaves, the program code interpolation part can be altered.
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spelling pubmed-54093192017-05-03 Validation of a Novel Technique and Evaluation of the Surface Free Energy of Food Senturk Parreidt, Tugce Schmid, Markus Hauser, Carolin Foods Article Characterizing the physical properties of a surface is largely dependent on determining the contact angle exhibited by a liquid. Contact angles on the surfaces of rough and irregularly-shaped food samples are difficult to measure using a contact angle meter (goniometer). As a consequence, values for the surface energy and its components can be mismeasured. The aim of this work was to use a novel contact angle measurement method, namely the snake-based ImageJ program, to accurately measure the contact angles of rough and irregular shapes, such as food samples, and so enable more accurate calculation of the surface energy of food materials. In order to validate the novel technique, the contact angles of three different test liquids on four different smooth polymer films were measured using both the ImageJ software with the DropSnake plugin and the widely used contact angle meter. The distributions of the values obtained by the two methods were different. Therefore, the contact angles, surface energies, and polar and dispersive components of plastic films obtained using the ImageJ program and the Drop Shape Analyzer (DSA) were interpreted with the help of simple linear regression analysis. As case studies, the superficial characteristics of strawberry and endive salad epicarp were measured with the ImageJ program and the results were interpreted with the Drop Shape Analyzer equivalent according to our regression models. The data indicated that the ImageJ program can be successfully used for contact angle determination of rough and strongly hydrophobic surfaces, such as strawberry epicarp. However, for the special geometry of droplets on slightly hydrophobic surfaces, such as salad leaves, the program code interpolation part can be altered. MDPI 2017-04-20 /pmc/articles/PMC5409319/ /pubmed/28425932 http://dx.doi.org/10.3390/foods6040031 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Senturk Parreidt, Tugce
Schmid, Markus
Hauser, Carolin
Validation of a Novel Technique and Evaluation of the Surface Free Energy of Food
title Validation of a Novel Technique and Evaluation of the Surface Free Energy of Food
title_full Validation of a Novel Technique and Evaluation of the Surface Free Energy of Food
title_fullStr Validation of a Novel Technique and Evaluation of the Surface Free Energy of Food
title_full_unstemmed Validation of a Novel Technique and Evaluation of the Surface Free Energy of Food
title_short Validation of a Novel Technique and Evaluation of the Surface Free Energy of Food
title_sort validation of a novel technique and evaluation of the surface free energy of food
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5409319/
https://www.ncbi.nlm.nih.gov/pubmed/28425932
http://dx.doi.org/10.3390/foods6040031
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