4.7 Article

A sample cell for the study of enzyme-induced carbonate precipitation at the grain-scale and its implications for biocementation

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SCIENTIFIC REPORTS
卷 11, 期 1, 页码 -

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NATURE PORTFOLIO
DOI: 10.1038/s41598-021-92235-7

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  1. Research Council of Norway [269084/O70]
  2. Norwegian Micro- and Nano-Fabrication Facility, NorFab under Research Council of Norway [245963/F50]

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Biocementation is a process based on either microbial-induced carbonate precipitation or enzyme-induced carbonate precipitation to create sustainable, consolidated porous material through the biomineralization of CaCO3 in a granular medium. A microscopy sample cell combined with confocal laser scanning microscopy allows real time monitoring of CaCO3 precipitation and pH, with the ability to characterize the precipitated crystals without sample disturbance. This approach offers a powerful tool for knowledge-based improvements in biocementation.
Biocementation is commonly based on microbial-induced carbonate precipitation (MICP) or enzyme-induced carbonate precipitation (EICP), where biomineralization of CaCO3 in a granular medium is used to produce a sustainable, consolidated porous material. The successful implementation of biocementation in large-scale applications requires detailed knowledge about the micro-scale processes of CaCO3 precipitation and grain consolidation. For this purpose, we present a microscopy sample cell that enables real time and in situ observations of the precipitation of CaCO3 in the presence of sand grains and calcite seeds. In this study, the sample cell is used in combination with confocal laser scanning microscopy (CLSM) which allows the monitoring in situ of local pH during the reaction. The sample cell can be disassembled at the end of the experiment, so that the precipitated crystals can be characterized with Raman microspectroscopy and scanning electron microscopy (SEM) without disturbing the sample. The combination of the real time and in situ monitoring of the precipitation process with the possibility to characterize the precipitated crystals without further sample processing, offers a powerful tool for knowledge-based improvements of biocementation.

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