Hydration of MgO-Based Cement: Water Dynamics by 1H Fast Field-Cycling NMR Relaxometry
Author(s) -
Francesca Martini,
Silvia Borsacchi,
Marco Geppi,
Claudia Forte,
Lucia Calucci
Publication year - 2017
Publication title -
the journal of physical chemistry c
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.401
H-Index - 289
eISSN - 1932-7455
pISSN - 1932-7447
DOI - 10.1021/acs.jpcc.7b09154
Subject(s) - relaxometry , relaxation (psychology) , nucleation , chemical physics , phase (matter) , larmor precession , materials science , molecular dynamics , dispersion (optics) , hydrate , chemistry , analytical chemistry (journal) , organic chemistry , computational chemistry , magnetic field , medicine , psychology , social psychology , physics , spin echo , quantum mechanics , magnetic resonance imaging , optics , radiology
1H fast field-cycling (FFC) NMR relaxometry was applied for the first time to monitor the state of water during the hydration reaction of MgO and silica that leads to the formation of magnesium silicate hydrate (M-S-H), the binder phase of innovative cements with promising applications in the containment of radioactive waste. To this aim, water proton longitudinal relaxation rates (R1= 1/T1) were measured in the Larmor frequency range between 10 kHz and 30 MHz at different hydration times ranging from 0.5 h to â\u88¼4 months. The obtained R1versus frequency (NMRD) curves were analyzed considering fast exchange of water molecules between a hydration layer, where dynamics is affected by interactions with the surface of solids present in the reacting mixture, and a bulk phase. For the hydration layer, water molecules undergoing fast local molecular dynamics on the surface gave a constant contribution to R1throughout the investigated frequency range. On the contrary, water molecules undergoing slow dynamics on the surface gave a dispersion of R1and their motions were modeled as "reorientations mediated by translational displacements" in the length scale of a particle and of a cluster of particles, where particles are silica nanoparticles and/or M-S-H globules that form during hydration. The model parameters reflected the different typical steps of cement hydration, showing smooth trends in the induction and diffusion steps and sudden changes during the nucleation and growth period in which water is consumed and M-S-H forms
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