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Colorimetric Measurements of Vegetable Oils by Smartphone-Based Image Analysis

S. Vucāne,I. Cinkmanis,M. Sabovics

Published 2022 in Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences.

ABSTRACT

Abstract One of the most important indicators of quality of vegetable oils is colour, which can be detected with colorimetric measurements. The determination of colour is traditionally done using colorimeters, spectrometers, tintometers, and other analytical equipment. As an alternative to replace the classical analytical methods, smartphone-based colorimetry using digital image analysis can be used. For colorimetric detection of colour in vegetable oils, a Huawei P30 lite smartphone and android application “Colour Picker” with an image matching algorithm RGB model was used. The image of sample and standard solutions was captured in a polyvinyl chloride box with light-emitting diode (LED) lamps. The aim of the study was to detect the colour of vegetable oils with smartphone-based image analysis. The detected colour of eleven vegetable oils (sea buckthorn, sunflower, rice, macadamia nut, hemp, corn, grape, linseed, rapeseed, olive, and milk thistle oils) was compared with standard solutions of iodine with a concentration range from 0 to 100 mg·100 ml−1. The results show that smartphone-based colorimetry can be used for detection of the colour of vegetable oils and it is possible to compare the colour with standard solutions of iodine. The colour of vegetable oils was expressed as the colour number obtained from an iodine standard solution prepared in deionised water.

PUBLICATION RECORD

  • Publication year

    2022

  • Venue

    Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences.

  • Publication date

    2022-02-01

  • Fields of study

    Not labeled

  • Identifiers
    DOI 10.2478/prolas-2022-0017
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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