Introduction <p>Microbial-induced calcium carbonate precipitation (MICP) represents an environmentally sustainable technology with significant potential for low-carbon geotechnical engineering and geo-disaster mitigation.</p> Research gap <p>A comprehensive synthesis addressing the cross-scale challenges in MICP is found to be missing despite the availability of numerous reviews.</p> Methodology <p>This review comprehensively examines multidisciplinary optimization methods and synthesizes them into a unified “Fine-Control” framework, spanning strain enhancement, environmental modulation, process control, and geological adaptation.</p> Key findings <p>The framework provides a pathway for predictive biomineralization under controlled conditions, exemplified by laboratory-scale engineered strains, spatiotemporal reaction control, and byproduct upcycling; however, its effectiveness in field applications depends on meticulous process optimization and site-specific validation.</p> Significance <p>We identify critical challenges for future research, including long-term durability under geoenvironmental stresses, standardized implementation protocols, and real-time monitoring, essential to bridge the gap between laboratory research and field-scale engineering.</p>

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Leveraging the Fine-Control MICP framework for cross-scale geoenvironmental applications: a roadmap of innovations and challenges

  • Yong-qing Chen,
  • Zi-yu Liu,
  • Zhao Xia,
  • Lei Li,
  • Da-wei Huang,
  • Xin Kang

摘要

Introduction

Microbial-induced calcium carbonate precipitation (MICP) represents an environmentally sustainable technology with significant potential for low-carbon geotechnical engineering and geo-disaster mitigation.

Research gap

A comprehensive synthesis addressing the cross-scale challenges in MICP is found to be missing despite the availability of numerous reviews.

Methodology

This review comprehensively examines multidisciplinary optimization methods and synthesizes them into a unified “Fine-Control” framework, spanning strain enhancement, environmental modulation, process control, and geological adaptation.

Key findings

The framework provides a pathway for predictive biomineralization under controlled conditions, exemplified by laboratory-scale engineered strains, spatiotemporal reaction control, and byproduct upcycling; however, its effectiveness in field applications depends on meticulous process optimization and site-specific validation.

Significance

We identify critical challenges for future research, including long-term durability under geoenvironmental stresses, standardized implementation protocols, and real-time monitoring, essential to bridge the gap between laboratory research and field-scale engineering.