Nanoscale Characterization of Fungal-Induced CaCO3 Precipitation: Implications for Self-Healing Concrete
Source abstract
Abstract
High Resolution Image Download MS PowerPoint Slide Cracks in concrete compromise structural integrity by exposing steel reinforcement to corrosion agents, shortening its service life. Fungal-induced calcium carbonate (CaCO 3 ) precipitation via urea hydrolysis offers a fast and robust self-healing mechanism to seal the cracks, extending the lifespan while reducing the carbon (C) footprint of concrete infrastructure. However, current studies rely on bulk-scale analytical methods, which lack the spatial resolution and chemical sensitivity to distinguish and map CaCO 3 polymorphs at the nanoscale. This study combined scanning electron microscopy (SEM) and synchrotron-based scanning transmission X-ray microscopy (STXM) with near-edge X-ray absorption fine structure (NEXAFS) spectroscopy to characterize fungal CaCO 3 polymorphs at the nanoscale. CaCO 3 biominerals precipitated by three urease-positive fungi were sectioned into 75–200 nm thin layers. STXM data were collected from at least two spots per section, focusing on Ca (L-edge) and C (K-edge) chemical speciation and elemental quantitative mapping. Calcite, the thermodynamically most stable polymorph, was identified as the predominant mineral phase precipitated by all fungi species, while aragonite and non-CO 3 –Ca species (CaCl 2 or Ca adsorbed onto extracellular polymeric substances (EPS)) occurred as minor components. In fungal species 2, we observed nanoscale heterogeneity in Ca phases across five analyzed spots, three dominated by calcite with minor contributions of other Ca species, while the others showed mixed CaCO 3 /non-CO 3 phases, as confirmed by NEXAFS spectra. These findings suggest that biomineralization in the fungal micro and nanoenvironment is influenced by localized physicochemical and metabolic conditions that shape mineral phases. C NEXAFS spectra further supported the Ca data, showing C-specific spectral features in the calcite-rich regions across all samples. This underscores STXM’s capability to resolve complexities and mechanisms of fungal CaCO 3 formation (e.g., mineral phase composition, fungal organic-mineral interactions, and spatial heterogeneity). Overall, this study provides critical nanoscale insights into fungal CaCO 3 precipitation, thus providing valuable guidance in optimizing fungal systems in self-healing concrete applications.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Microbial Applications in Construction Materials · Corrosion Behavior and Inhibition · Calcium Carbonate Crystallization and Inhibition
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
MAX IV Laboratory
Lund University
BayCEER
University of Bayreuth
Funding
Familjen Kamprads Stiftelse · Lunds Universitet · Stiftelsen f?r Strategisk Forskning · Strategic Research Area BECC
References (42)
Show source-provided references
1. 10.1617/s11527-013-0114-510.1617/s11527-013-0114-5 ↗
2. 10.1061/(ASCE)MT.1943-5533.000120910.1061/(ASCE)MT.1943-5533.0001209 ↗
3. 10.1021/acs.chemrev.2c0070910.1021/acs.chemrev.2c00709 ↗
4. 10.1016/j.scitotenv.2021.15150110.1016/j.scitotenv.2021.151501 ↗
5. 10.1146/annurev-matsci-081720-10530310.1146/annurev-matsci-081720-105303 ↗
6. 10.1021/acsami.0c1634310.1021/acsami.0c16343 ↗
7. 10.1021/acsami.9b2146510.1021/acsami.9b21465 ↗
8. 10.1016/j.compositesb.2020.10789210.1016/j.compositesb.2020.107892 ↗
9. 10.1130/G23680A.110.1130/G23680A.1 ↗
10. 10.3389/fmicb.2015.0122510.3389/fmicb.2015.01225 ↗
11. 10.1038/s41598-019-39156-810.1038/s41598-019-39156-8 ↗
12. 10.1186/s40694-021-00122-710.1186/s40694-021-00122-7 ↗
13. 10.48550/arXiv.1711.1038610.48550/arXiv.1711.10386 ↗
14. 10.1016/S0038-0717(99)00082-610.1016/S0038-0717(99)00082-6 ↗
15. 10.1021/ja037487710.1021/ja0374877 ↗
16. 10.1016/j.jclepro.2021.12587010.1016/j.jclepro.2021.125870 ↗
17. Mangolini, F.; McClimon, J. B. Near edge X-ray Absorption Fine Structure Spectroscopy: a Powerful Tool for Investigating the Surface Structure and Chemistry of Solid Lubricants. In Advanced Analytical Methods in Tribology; Dienwiebel, M.; De Barros Bouchet, M.I., Eds. Springer, 2018; pp 63–106.10.1007/978-3-319-99897-8_3 ↗
18. 10.1107/S090904950001955510.1107/S0909049500019555 ↗
19. 10.1016/j.elspec.2009.04.01010.1016/j.elspec.2009.04.010 ↗
20. 10.1111/gbi.1250410.1111/gbi.12504 ↗
21. 10.1016/j.ultramic.2011.03.02310.1016/j.ultramic.2011.03.023 ↗
22. 10.1107/S090904951002002910.1107/S0909049510020029 ↗
23. 10.1111/j.1945-5100.2008.tb00627.x10.1111/j.1945-5100.2008.tb00627.x ↗
24. 10.1038/ngeo15510.1038/ngeo155 ↗
25. 10.2136/sssaj2008.022810.2136/sssaj2008.0228 ↗
26. 10.1016/j.gca.2009.04.01310.1016/j.gca.2009.04.013 ↗
27. 10.1073/pnas.111808510910.1073/pnas.1118085109 ↗
28. 10.1039/D2EN01143C10.1039/D2EN01143C ↗
29. 10.3390/min602004110.3390/min6020041 ↗
30. 10.1128/jb.52.4.461-466.194610.1128/jb.52.4.461-466.1946 ↗
31. 10.1017/S143192761801351X10.1017/S143192761801351X ↗
32. 10.1016/j.elspec.2023.14736010.1016/j.elspec.2023.147360 ↗
33. Obst M. · 2014 · 75710.1007/978-1-62703-776-1_34 ↗
34. 10.1016/j.scitotenv.2006.04.03310.1016/j.scitotenv.2006.04.033 ↗
35. 10.1111/j.1472-4669.2009.00211.x10.1111/j.1472-4669.2009.00211.x ↗
36. 10.1128/AEM.00490-0910.1128/AEM.00490-09 ↗
37. 10.1080/0149045060096437510.1080/01490450600964375 ↗
38. 10.3390/min1310134410.3390/min13101344 ↗
39. 10.1016/j.jclepro.2021.12979310.1016/j.jclepro.2021.129793 ↗
40. 10.1128/AEM.69.9.5543-5554.200310.1128/AEM.69.9.5543-5554.2003 ↗
41. 10.1021/jp981171h10.1021/jp981171h ↗
42. 10.1021/cr800443h10.1021/cr800443h ↗