ArticleMethodsX2026
DiColorimetry: A smartphone application for colorimetric analysis of phenolics and antioxidant activity in vegetable oils.
Article in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Authors and funding
4 authors.
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Abstract
This method presents DiColorimetry, an author-developed Android application for smartphone-assisted colorimetric assessment of total phenolic content (TPC), radical scavenging activity (RSA) and general colour characteristics in vegetable oils. Smartphone-based imaging itself is not presented as a new analytical principle; the methodological contribution is the integration of previously separate image acquisition, ROI-based colour extraction, assay-specific signal processing, calibration or reference handling, calculation and data export within a single mobile workflow.•The application integrates assay-specific TPC and RSA analysis with a standalone colour-data extraction module, including region-of-interest selection and CSV export.•Analytical performance was evaluated using 40 commercial vegetable oil samples from ten botanical categories and compared with UV/VIS spectrophotometry under controlled imaging conditions using a Samsung Galaxy A33 5 G smartphone.•DiColorimetry showed close agreement with the reference method: mean signal-acquisition relative standard deviations were below 1%, and all paired TPC and RSA results showed absolute relative deviations below 5%.•The standalone module provides RGB, HSV, CIELAB, and CIELCh values but requires a user-established calibration model for quantitative application. DiColorimetry is intended as an integrated assay-specific smartphone readout and screening tool rather than as a new smartphone-imaging principle or a universal replacement for calibrated analytical instrumentation.
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