Content area
A new approach integrating micro X-ray fluorescence (μ-XRF) and digital image processing is proposed to quantify the spatial distribution of calcium carbonate crystals for microbial-induced calcite precipitation (MICP)-treated sand. Scanning the entire MICP-treated sample slice with the μ-XRF imaging method presents an overview of the distribution of Si and Ca elements, corresponding to the distributions of quartz sand and calcium carbonate particles, respectively. To improve the accuracy of the μ-XRF-imaging technique, scanning electron microscope tests were conducted and used as a basis for calibrating the segmentation threshold. μ-XRF images reveal that MICP effectively reduces the soil porosity and enhances the inter-particle contacts. Various quantification indexes (including area proportion, apparent porosity, apparent calcium carbonate content and pore filling rate) obtained through quantitative analysis of the μ-XRF image highlight the heterogeneous distribution of calcite precipitations at inter-particle contacts. The advantages and limitations of μ-XRF imaging technique were discussed, revealing its potential and further improvements needed for efficient, large-scale bio-cemented soil characterizations. This study presents a new approach to microstructural characterization of bio-cemented soils, and provides microscopic insights into the governing bio-cementation mechanisms.
Details
Imaging techniques;
Scanning electron microscopy;
Calcite;
Sand;
Porosity;
X ray fluorescence analysis;
X-ray fluorescence;
Image processing;
Calcium carbonate;
Distribution;
Spatial distribution;
Calcium carbonates;
Soil;
Crystals;
Soils;
Microorganisms;
Fluorescence;
Image segmentation;
Soil porosity;
Chemical precipitation;
Electron microscopes;
Carbonates;
Cementation;
Calcium
; Zhu, Cheng 2 ; Pan, Xiao-Hua 1 ; Zhang, Xiying 3 ; Shi, Bin 1 1 Nanjing University, School of Earth Sciences and Engineering, Nanjing, China (GRID:grid.41156.37) (ISNI:0000 0001 2314 964X)
2 Rowan University, Department of Civil and Environment Al Engineering, Glassboro, USA (GRID:grid.262671.6) (ISNI:0000 0000 8828 4546)
3 Chinese Academy of Sciences, Qinghai Provincial Key Laboratory of Geology and Environment of Salt Lake, Qinghai Institute of Salt Lakes, Xining, China (GRID:grid.9227.e) (ISNI:0000 0001 1957 3309)