Controle de qualidade de águas potáveis utilizando análise multivariada de imagens
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2015-12-15
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Universidade Federal de Goiás
Resumo
New digital image based-analytical methodologies are proposed to measure pH,
alkalinity, total hardness, calcium hardness, magnesium hardness, chloride, fluorine,
and total iron of potable water samples. Multivariate image analysis and partial leastsquares
regression were applied to BMP digital images acquired from a CCD-scanner.
RGB, HIS, XYZ and YCbCr color spaces and 300 dpi images of 200 μL water samples
were employed. This micro volume per sample yielded micro volumes of analytical
waste per sample (400.0 μL). PLS root mean square error of prediction (RMSEP) for
pH analyses was 0.16. RMSEP values for alkalinity, total hardness, calcium hardness,
magnesium hardness, chloride, fluorine, and total iron were 0.03, 1.20, 2.01, 0.07,
0.04, and 0.06 mg L-1, respectively. Analytical figures of merit were computed for all
PLS proposed methods. Mean relative errors ranging from 0.20% to 1.33 were found.
The proposed methods were validated against standard analytical procedures for
water quality control. There were no statistical differences between mean PLS value
and the one found using the respective standard procedure (ttest, = 0.05). Precision
was found statistically equivalent for pH, alkalinity, chloride, fluoride, and total iron
when compared to the related reference method (Ftest, = 0.05). Therefore, the new
PLS analytical methods proposed for water control quality can be employed as an
alternative to standard methods.
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DAMASCENO, D. Controle de qualidade de águas potáveis utilizando análise multivariada de imagens. 2015. 150 f. Tese (Doutorado em Química) - Universidade Federal de Goiás, Goiânia, 2016.