The nano- and meso-scale structure of amorphous calcium carbonate

Simon M. Clark, Bruno Colas, Dorrit E. Jacob, Joerg C. Neuefeind, Hsiu Wen Wang, Katherine L. Page, Alan K. Soper, Philipp I. Schodder, Patrick Duchstein, Benjamin Apeleo Zubiri, Tadahiro Yokosawa, Vitaliy Pipich, Dirk Zahn, Erdmann Spiecker, Stephan E. Wolf

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Understanding the underlying processes of biomineralization is crucial to a range of disciplines allowing us to quantify the effects of climate change on marine organisms, decipher the details of paleoclimate records and advance the development of biomimetic materials. Many biological minerals form via intermediate amorphous phases, which are hard to characterize due to their transient nature and a lack of long-range order. Here, using Monte Carlo simulations constrained by X-ray and neutron scattering data together with model building, we demonstrate a method for determining the structure of these intermediates with a study of amorphous calcium carbonate (ACC) which is a precursor in the bio-formation of crystalline calcium carbonates. We find that ACC consists of highly ordered anhydrous nano-domains of approx. 2 nm that can be described as nanocrystalline. These nano-domains are held together by an interstitial net-like matrix of water molecules which generate, on the mesoscale, a heterogeneous and gel-like structure of ACC. We probed the structural stability and dynamics of our model on the nanosecond timescale by molecular dynamics simulations. These simulations revealed a gel-like and glassy nature of ACC due to the water molecules and carbonate ions in the interstitial matrix featuring pronounced orientational and translational flexibility. This allows for viscous mobility with diffusion constants four to five orders of magnitude lower than those observed in solutions. Small and ultra-small angle neutron scattering indicates a hierarchically-ordered organization of ACC across length scales that allow us, based on our nano-domain model, to build a comprehensive picture of ACC formation by cluster assembly from solution. This contribution provides a new atomic-scale understanding of ACC and provides a framework for the general exploration of biomineralization and biomimetic processes.

Original languageEnglish
Article number6870
JournalScientific Reports
Volume12
Issue number1
DOIs
StatePublished - Dec 2022
Externally publishedYes

Funding

BC was supported by a PhD scholarship provided jointly by the Australian Centre for Neutron Scattering, ANSTO and Macquarie University. HWW, KP and JN were supported by the US Department of Energy (DOE), Office of Science (SC), Office of Basic Energy Sciences (BES), Chemical Sciences, Geosciences, and Biosciences Division. KP was supported in part by the DOE, SC, BES Early Career Research Program (KC040602), under contract number DE-AC05-00OR22725. The NOMAD instrument at ORNL’s SNS is sponsored by the DOE, SC, BES, Scientific User Facilities Division. 11-ID-B was supported by the DOE, SC, BES, under Contract No. DE-AC02-06CH11357. SEW acknowledges financial support by an Emmy Noether starting Grant issued by the German Research Foundation (DFG, Grant Number 251939425) (WO1712/3-1) and by a BayIntAn grant issued by the Bavarian Research Alliance (FAU_2018_07); SEW also acknowledges the financial support provided by JCNS to perform the neutron scattering measurements at the Heinz Maier-Leibnitz Zentrum (MLZ), Garching, Germany. SEW, BAZ, TY, and ES acknowledge further support from the Cluster of Excellence 315 ‘Engineering of Advanced Materials—Hierarchical Structure Formation for Functional Devices’ funded by the German Research Foundation. This work was supported by ARC Discovery Grant DP210101268.

FundersFunder number
Cluster of Excellence 315 ‘Engineering of Advanced Materials
Heinz Maier-Leibnitz Zentrum
JCNS
MLZ
U.S. Department of Energy
Office of Science
Basic Energy Sciences
Chemical Sciences, Geosciences, and Biosciences DivisionDE-AC05-00OR22725, KC040602, DE-AC02-06CH11357
Australian Research CouncilDP210101268
Macquarie University
Deutsche Forschungsgemeinschaft251939425, WO1712/3-1
Bayerische ForschungsallianzFAU_2018_07

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