ArticleACS omega2025
Development of a Fast, Low-Cost, and Green Method to Quantify Allura Red AC Dye in Candies through Digital Images Using a Smartphone.
Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The artificial azo dye Allura Red AC (E129), widely used in candy, may pose health risks, such as hypersensitivity and hyperactivity, underscoring the need for its monitoring and quantification to ensure food safety. This study adapted a traditional sample preparation approach aligned with the principles of green analytical chemistry (GAC) and introduced a low-cost, smartphone-based colorimetric method employing digital image acquisition. The technique enables the simultaneous capture of both the analytical curves and the samples in a single image by using a 3D-printed digital imaging chamber. The data were processed using the RGB color model and analyzed by partial least-squares with REDGIM software. For the adapted UV-vis method, accuracy at two concentration levels ranged from 77.33% ± 1.53 to 98.35% ± 0.07, with a limit of quantification (LQ) of 2.26 × 10
Identifiers
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Registered trials
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