Evidence map›Paper›PMID 42451939›Full record

ArticleMaterials (Basel, Switzerland)2026

Optimization of Bacterial-to-Cementation Solution Ratio for MICP-Treated Sand: Effects on Compressibility and Slope Erosion Resistance.

Yanhong Li, Qian Zhang, Yunfei Huang, Yuxiang Zhang, Liquan Xie

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yanhong LiSchool of Ocean and Civil Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0002-2579-0526
Qian ZhangGuangxi Pinglu Canal Construction Co., Ltd., Qinzhou 535000, China.
Yunfei HuangGuangdong Basic Engineering Group Co., Ltd., Guangzhou 510620, China.
Yuxiang ZhangCollege of Civil Engineering, Tongji University, Shanghai 200092, China.
Liquan XieCollege of Civil Engineering, Tongji University, Shanghai 200092, China.

Funding

Guangxi Science and Technology Major Program AA23062054National Natural Science Foundation of China U25A6019
6 · The paper itself

Abstract

In engineering applications such as filling and slope protection, natural river sand suffers from high compressibility and poor erosion resistance. Microbially induced calcium carbonate precipitation (MICP) can mitigate these issues by sand solidification, but the optimal volumetric ratio of bacterial solution to cementation solution (rv) for natural river sand remains unclear. This study used natural river sand (0.063-1.6 mm), Bacillus subtilis, and a cementation solution (2 M urea + 2 M CaCl2, 1:1). Eight rv values from 2:5 to 3:1 were tested. Compressibility was evaluated via one-dimensional consolidation tests, and erosion resistance via a slope model. Results show a non-linear "U-shaped" relationship between rv and compression index (Cc). The optimal rv = 3:2 yields the lowest Cc (0.044). Higher or lower ratios increase Cc to ≥0.064. Microscopy reveals that at rv = 3:2, a dense, continuous CaCO3 network fills pores, whereas excess bacteria cause sparse cementation and too few cause local agglomeration. The optimal ratio reduces erosion modulus by 55.0-57.5% compared to untreated slopes. This work provides a quantitative, eco-friendly optimization strategy for MICP-treated natural river sand, balancing mechanical performance with ecological adaptability (pH within vegetation tolerance).

Indexed as

compression indexmicrobially induced calcium carbonate precipitation (MICP)ratio optimizationsand solidificationslope erosion resistance

Identifiers

PMID42451939
PMCPMC13363499

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.