Analytical approach using a chemical equilibrium formula and geochemical modeling for alkalinity measurements of small natural water samples

Yang, Heejun; Mishima, Taketoshi; Katazakai, Saki; Kagabu, Makoto

doi:10.1016/j.apgeochem.2022.105535

Cited by 1 publication

(1 citation statement)

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“…In seawater and natural terrestrial waters, the alkalinity can be analyzed using a spectrophotometric technique using a bromocresol green indicator. The method has the advantage of using only a small volume of water samples and reagents, as compared with the volume required for titrimetric methods [9]. Another reported method for water alkalinity detection is the use of a combined selective proton pump and pH probe that is applicable for on-site testing, with comparable results to standard volumetric methods [10].…”

Section: Introductionmentioning

confidence: 99%

RGB-based colorimetric method for the analysis of water alkalinity using Cordyline fruticosa extracts as visual indicator

Parungao,

Reyes

2024

IJPHS

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Leaf extracts of Cordyline fruticosa was used as a natural visual indicator for a digital image-based analytical procedure for the measurement of water alkalinity. A smartphone and ImageJ were used to capture and process the images, respectively. This work sought to develop and evaluate a greener strategy of using of Cordyline fruticosa leaf extract as natural indicator, in a digital image-based colorometric set-up using smartphone. Under optimized conditions, the linear working range was from 40 to 160 ppm of CaCO3, with a calibration sensitivity of 5 x 10-3 ppm and a coefficient of correlation (r2) = 0.998. The limit of detection and quantification were 39 ppm and 117 ppm, respectively. A 10,000 ppm CaCO3 solution was tested using the proposed method and the results statistically agree with the results obtained from titrimetric methods. The study presented a simple analytical procedure that can be develop and apply for the assessment of pollution that could pose serious human and environmental health hazards.

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Section: Introductionmentioning

confidence: 99%