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Article

Regression Analysis of Orthogonal, Cylindrical and Multivariable Color Parameters for Colorimetric Surface pH Measurement of Materials

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Department of Wood, Pulp and Paper, Institute of Natural and Synthetic Polymers, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinského 9, 812 37 Bratislava, Slovakia
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Institute of Information Engineering, Automation, and Mathematics, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Radlinského 9, 812 37 Bratislava, Slovakia
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Certex a.s., Radlinského 9, 812 37 Bratislava, Slovakia
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Author to whom correspondence should be addressed.
Academic Editor: Eulogio J. Llorent-Martínez
Molecules 2021, 26(12), 3682; https://doi.org/10.3390/molecules26123682
Received: 26 April 2021 / Revised: 8 June 2021 / Accepted: 9 June 2021 / Published: 16 June 2021
(This article belongs to the Section Applied Chemistry)
The surface pH is a critical factor in the quality and longevity of materials and products. Traditional fast colorimetric pH detection-based tests such as water quality control or pregnancy tests, when results are determined by the naked eye, cannot provide quantitative values. Using standard pH papers, paper-printed comparison charts, or colorimetric microfluidic paper-based analytical devices is not suitable for such technological applications and quality management systems (QMSs) where the particular tested material should contain a suitable indicator in situ, in its structure, either before or after the process, the technology or the apparatus that are being tested. This paper describes a method based on the combination of impregnation of a tested material with a pH indicator in situ, its exposure to a process of technology whose impact on pH value is to be tested, colorimetric pH measurement, and approximation of pH value using derived pH characteristic parameters (pH-CPs) based on CIE orthogonal and cylindrical color variables. The hypotheses were experimentally verified using the methyl red pH indicator, impregnating the acid lignin-containing paper, and preparing a calibration sample set with pH in the range 4 to 12 using controlled alkalization. Based on the performed measurements and statistical evaluation, it can be concluded that the best pH-CPs with the highest regression parameters for pH are E, ln (a),H (ab), a/L, h/b and ln (b/a). The experimental results show that the presented method allows a good estimation of pH detection of the material surfaces. View Full-Text
Keywords: pH measurement; colorimetric pH-metry; acidity; acid paper; deacidification pH measurement; colorimetric pH-metry; acidity; acid paper; deacidification
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MDPI and ACS Style

Vizárová, K.; Vajová, I.; Krivoňáková, N.; Tiňo, R.; Takáč, Z.; Vodný, Š.; Katuščák, S. Regression Analysis of Orthogonal, Cylindrical and Multivariable Color Parameters for Colorimetric Surface pH Measurement of Materials. Molecules 2021, 26, 3682. https://doi.org/10.3390/molecules26123682

AMA Style

Vizárová K, Vajová I, Krivoňáková N, Tiňo R, Takáč Z, Vodný Š, Katuščák S. Regression Analysis of Orthogonal, Cylindrical and Multivariable Color Parameters for Colorimetric Surface pH Measurement of Materials. Molecules. 2021; 26(12):3682. https://doi.org/10.3390/molecules26123682

Chicago/Turabian Style

Vizárová, Katarína, Izabela Vajová, Naďa Krivoňáková, Radko Tiňo, Zdenko Takáč, Štefan Vodný, and Svetozár Katuščák. 2021. "Regression Analysis of Orthogonal, Cylindrical and Multivariable Color Parameters for Colorimetric Surface pH Measurement of Materials" Molecules 26, no. 12: 3682. https://doi.org/10.3390/molecules26123682

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