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Application of Fourier Transform infrared spectroscopy (FTIR) coupled with multivariate regression for calcium carbonate (CaCO3) quantification in cement

2021; Elsevier BV; Volume: 313; Linguagem: Inglês

10.1016/j.conbuildmat.2021.125413

1879-0526

Victor Hugo Jacks Mendes dos Santos, Darlan Pontin, Gabriela Gonçalves Dias Ponzi, Amanda Sofia de Guimarães e Stepanha, Renan Bordulis Martel, Marta K. Schütz, Sandra Einloft, Felipe Dalla Vecchia,

Calcium Carbonate Crystallization and Inhibition

Partial least squares (PLS) regression models were developed to quantify CaCO 3 in cement and to study the CO 2 effect on the material matrix.PLS results presented good correlation coefficient (R 2 = 0.9995) and low estimation error (RMSEP = 3.61 mg CaCO 3 /g cement).From the results, it was observed that the portlandite consumption, the increase in CaCO 3 content and the C-S-H decalcification-polymerization are the most relevant cement chemical transformations.Thus, it was concluded that: i) it is possible to obtain fast, low-cost, and reliable models to quantify CaCO 3 by FTIR and ii) the method is applicable to study carbonated cement-based materials.