2018/10/27 by Ahmed S. A. Mohammed, Ahmed Shaban Abdelfadil Mohammed, Mohammed, Ahmed Shaban Abdelfadil +8
Chemistry · Materials Science · Physics and Astronomy · #Amorphous calcium carbonate #Amorphous solid #Aragonite #Calcium Carbonate Crystallization and Inhibition #Calcium carbonate #Carbonate #Chemical engineering #Chemical physics #Chemistry #Composite material #Crystallization #Crystallization and Solubility Studies #Crystallography #FOS: Physical sciences #Material Dynamics and Properties #Materials Science (cond-mat.mtrl-sci) #Materials science #Metallurgy #Mineralogy #Nucleation #Optics #Organic chemistry #Physics #Precipitation #Scattering #Small-angle X-ray scattering #Soft Condensed Matter (cond-mat.soft) #Supersaturation #cond-mat.mtrl-sci #cond-mat.soft
paper · pdf · doi:10.48550/arxiv.1810.11696
31 pages, 10 figures
openalex publication_date 2018/10/27 · arxiv created 2019/01/24 · arxiv updated 2019/01/25 · openalex created_date 2022/08/02 · openalex updated_date 2026/08/06
Calcium carbonate is a model system to investigate the mechanism of solid\nformation by precipitation from solutions, and it is often considered in the\ndebated classical and non-classical nucleation mechanism. Despite the great\nscientific relevance of calcium carbonate in different areas of science, little\nis known about the early stage of its formation. We, therefore, designed\ncontactless devices capable to provide informative investigations on the early\nstages of the precipitation pathway of calcium carbonate in supersaturated\nsolutions using classical scattering methods such as Wide-Angle X-ray\nScattering (WAXS) and Small-Angle X-ray Scattering (SAXS) techniques. In\nparticular, SAXS was exploited for investigating the size of entities formed\nfrom supersaturated solutions before the critical conditions for amorphous\ncalcium carbonate (ACC) nucleation are attained. The saturation level was\ncontrolled by mixing four diluted solutions (i.e., NaOH, CaCl2, NaHCO3, H2O) at\nconstant T and pH. The scattering data were collected on a liquid jet generated\nabout 75 sec after the mixing point. The data were modeled using parametric\nstatistical models providing insight about the size distribution of denser\nmatter in the liquid jet. Theoretical implications on the early stage of solid\nformation pathway are inferred.\n