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Published on: September 8, 2023
Smartphone-based digital image colorimetry for determination of iron in cereals and crispy seaweed using Terminalia
Prinya Masawat1,2, Thansanankorn Yenkom1, Chosita Sitsirat1
1Department of Chemistry, Faculty of Science, Naresuan University, Phitsanulok 65000, Thailand. prinyam@nu.ac.th.
Abstract:
In this research, a novel sample pretreatment of whole wheat bread, granola, and crispy seaweed samples was developed for iron(III) determination by digital image colorimetry. The developed method was compared with UV-visible spectrophotometry. The procedure involved weighing the sample (∼0.1 g) and mixing it with a mixture of concentrated nitric acid (65%) and hydrogen peroxide (30%) (2 : 1 v/v). Then, the mixture was irradiated with UV light until it became dry. The residue was then dissolved in deionized water. The sample solution was diluted with deionized water before forming a complex with Terminalia chebula Retz. extract in acetate buffer. Under the optimal conditions, the color of the complexes was violet. When analyzed with an inhouse developed smartphone-based digital image colorimeter, the linear range was 1.0-6.0 mg L-1 with a correlation coefficient of >0.993. The percentage recoveries were in the range of 84.8-90.2. The limit of detection (LOD) and the limit of quantification (LOQ) were 1.06 and 3.55 mg L-1, respectively. From the results, it can be concluded that the developed method is accurate, simple, cost-effective, and environmentally friendly. The statistical paired t-test proved that there was no significant difference in the results when compared with a UV-visible microplate reader using gallic acid as the color forming reagent and a flame atomic absorption spectrophotometer as a reference instrument at 95% confidence level.

