Quantification of CaCO3–CaSO3·0.5H2O–CaSO4·2H2O mixtures by FTIR analysis and its ANN model
Source abstract
Abstract
Abstract A new quantitative analysis method for mixtures of calcium carbonate (CaCO 3 ), calcium sulphite hemihydrate (CaSO 3 ·1/2H 2 O) and gypsum (CaSO 4 ·2H 2 O) by FTIR spectroscopy is developed. The method involves the FTIR analysis of powder mixtures of several compositions on KBr disc specimens. Intensities of the resulting absorbance peaks for CaCO 3 , CaSO 3 ·1/2H 2 O and CaSO 4 ·2H 2 O at 1453, 980, 1146 cm −1 were used as input data for an artificial neural network (ANN) model, the output being the weight percent compositions of the mixtures. The training and testing data were randomly separated from the complete original data set. Testing of the model was done with successfully low-average error levels. The utility of the model is in the potential ability to use FTIR spectrum to predict the proportions of the three substances in unknown mixtures.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Spectroscopy and Chemometric Analyses · Calcium Carbonate Crystallization and Inhibition · Cultural Heritage Materials Analysis
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (17)
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