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Medium optimization and dust suppression performance analysis of microbial-based dust suppressant compound by response surface curve method

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Abstract

At present, microbial dust suppressants based on microbial communities lack necessary systematic analysis of factors affecting dust suppression performance. Therefore, in this study, the response surface curve method was used to optimize the culture conditions for enrichment of urease-producing microorganisms from activated sludge. The results indicated that when urea = 9.67 g L−1, NH4Cl = 5.21 g L−1, and pH = 9.57, the maximum urease activity of urease-producing microbial community (UPMC) was 8.22 mM min−1. The UPMC under optimized culture conditions reached a mineralization rate of 98.8% on the 1st day of mineralization. Ureolysis is one of the biological mechanisms that trigger microbial mineralization with the consequent effect of dust suppression. The analysis of microbial community structure indicated that the urease-producing bacteria Sporosarcina sp. had the highest abundance at the genus level in the microbial-based dust suppressant compound. Jeotgalicoccus sp. plays an important role in improving and maintaining the stability of urease. In addition, the optimal UPMC had low pathogenicity, which is extremely attractive for the safe application of microbial dust suppressants.

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Funding

This work was supported by the National Natural Science Foundation of China (42077444, 52274217, and 52274216); Youth expert of Taishan Scholars (No. tsqn202103073), Distinguished professor of Taishan Scholars (TS20190935); Shandong Natural Science Outstanding Youth Fund (ZR2021JQ19); Shandong Province Natural Science Foundation (ZR2020ME101, ZR2021QE159, and ZR2021QE296); 2022 Innovation and Entrepreneurship Training Program for College Students of Shandong University of Science and Technology (X202210424008).

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Authors and Affiliations

  1. College of Safety and Environmental Engineering, Shandong University of Science and Technology, 579 Qianwangang Road, Qingdao, 266590, Shandong Province, China

    Xiangming Hu, Zhiyuan Yang, Yanyun Zhao, Yue Dong, Chengcheng Wang, Linlin Zhang, Yiyun Yu, Kai Wu & Liyan Ren

  2. State Key Laboratory of Mine Lab Disaster Prevention and Control Co-Found By Shandong Province and the Ministry of Science and Technology, Shandong University of Science and Technology, Qingdao, 266590, Shandong, China

    Xiangming Hu

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  1. Xiangming Hu
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Contributions

Xiangming Hu: formal analysis, funding acquisition, project administration. Zhiyuan Yang: conceptualization, supervision, validation. Yanyun Zhao: conceptualization, methodology, supervision, funding acquisition, writing—review and editing. Yue Dong: conceptualization, methodology, writing—original draft, investigation. Chengcheng Wang: conceptualization, methodology. Linlin Zhang: investigation, conceptualization. Yiyun Yu: investigation, conceptualization. Kai Wu: writing review and editing. Liyan Ren: writing review.

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Correspondence to Yue Dong.

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Hu, X., Yang, Z., Zhao, Y. et al. Medium optimization and dust suppression performance analysis of microbial-based dust suppressant compound by response surface curve method. Environ Sci Pollut Res 31, 24525–24535 (2024). https://doi.org/10.1007/s11356-024-32748-6

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