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Issue 43, 2016
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CompVis: a novel method for drinking water alkalinity and total hardness analyses

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Abstract

A new green analytical chemistry method using a computer vision approach is proposed to measure alkalinity, Ca2+ and Mg2+ hardness, and total hardness of drinking water samples. Digital images of water samples on a 96-well ELISA plate were acquired using a table scanner and digitally processed. After variable selection using a genetic algorithm the image data was correlated with alkalinity and hardness values measured by titration and flame atomic absorption spectrometry (FAAS), respectively. Figures of merit were calculated according to IUPAC guidelines and the proposed method was validated for accuracy and precision. The method substantially reduces lab analysis residues when compared to the conventional methods (ca. 500 fold) and it is in accordance with global efforts to reduce wastes and residues. In addition, it is multi-sampler, faster, and cheaper than the reference methods.

Graphical abstract: CompVis: a novel method for drinking water alkalinity and total hardness analyses

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Publication details

The article was received on 05 Aug 2016, accepted on 20 Sep 2016 and first published on 26 Sep 2016


Article type: Technical Note
DOI: 10.1039/C6AY02215D
Citation: Anal. Methods, 2016,8, 7832-7836
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    CompVis: a novel method for drinking water alkalinity and total hardness analyses

    D. Damasceno, T. G. Toledo, A. da Silva Soares, S. Botelho de Oliveira and A. Elcana de Oliveira, Anal. Methods, 2016, 8, 7832
    DOI: 10.1039/C6AY02215D

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