AI Article Synopsis
- An artificial neural network (ANN) model was created to effectively measure aluminum levels in soil extracts containing iron, utilizing xylenol orange as a color-changing reagent.
- The model analyzed spectral data from synthetic mixtures of aluminum and iron, focusing on wavelengths between 410 and 580 nm.
- Validation with 18 soil extract samples showed strong linear relationships between the ANN results and traditional ICP OES measurements for both aluminum and iron.
Article Abstract
An artificial neural network (ANN) calibration model was developed to determine aluminum in the presence of iron in soil extracts, using xylenol orange as chromogenic reagent. The spectral data of synthetic mixtures of Al(3+) and Fe(3+) as well as of the soil extracts, were recorded in the range between 410 and 580 nm. Method validation was carried out using 18 soil extracts. The results gave good linear correlations between the ANN model and the ICP OES measurements for both species.
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| http://dx.doi.org/10.2116/analsci.24.1147 | DOI Listing |
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