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Global climate change and soil heavy metal pollution have raised higher requirements for the synergistic adaptability of conventional remediation technologies. Microbially induced carbonate precipitation (MICP) technology, with its unique biological metabolism and environmental interaction characteristics, provides a new pathway for the synergistic management of carbon sequestration and heavy metal stabilization. This technology induces calcium carbonate formation through two core enzyme-mediated pathways involving urease and carbonic anhydrase, enabling simultaneous CO2 sequestration by mineralization and heavy metal immobilization. In carbon sequestration scenarios, MICP technology can enhance the geological stability of carbon sequestration sites through lithological improvement and strengthen carbon sequestration efficiency through high-efficiency mineralization reactions. In heavy metal remediation scenarios, it can achieve heavy metal stabilization through multiple mechanisms such as adsorption, co-precipitation, and surface complexation, and different calcium carbonate crystal forms can adapt to varied pollution scenarios. However, the large-scale application of MICP technology currently faces three major bottlenecks: insufficient tolerance of functional strains to extreme environments, compatibility conflicts between exogenous strains and native ecosystems, and coupling barriers between metabolic pathways for carbon sequestration and heavy metal immobilization. To address these issues, this paper proposes a three-stage synergistic process flow hypothesis for heavy metal immobilization, carbon sequestration by mineralization and long-term monitoring. Sequentially switching metabolic pathways theoretically resolves the pH requirement conflict between heavy metal immobilization and carbon sequestration by mineralization, providing new solutions for the engineering application of MICP technology. Future research should focus on the modification of functional strains for extreme habitats, regulation of interactions between exogenous and native microorganisms, and precise optimization of process parameters, to advance this synergistic model from theoretical design to on-site validation, providing technical support for achieving carbon neutrality and the safe utilization of polluted soils.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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