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Article ? AI-assigned paper type based on the abstract. Classification may not be perfect — flag errors using the feedback button. Tier 2 ? Original research — experimental, observational, or case-control study. Direct primary evidence. Remediation Sign in to save

Synthetically engineered microbial scavengers for enhanced bioremediation

Journal of Hazardous Materials 2021 64 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 45 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Kha Mong Tran, Thi Duc Thai, Hyang‐Mi Lee, Hyang‐Mi Lee, Thi Duc Thai, Dokyun Na Junhao Shen, Seong‐il Eyun, Dokyun Na

Summary

Synthetic biology approaches were reviewed for engineering microorganisms with enhanced bioremediation capabilities against pollutants including plastics, heavy metals, and organic contaminants, with the authors discussing strategies for improving enzyme efficiency, substrate range, and environmental fitness while addressing biosafety concerns about releasing engineered microbes into natural environments.

Microbial bioremediation has gained attention as a cheap, efficient, and sustainable technology to manage the increasing environmental pollution. Since microorganisms in nature are not evolved to degrade pollutants, there is an increasing demand for developing safer and more efficient pollutant-scavengers for enhanced bioremediation. In this review, we introduce the strategies and technologies developed in the field of synthetic biology and their applications to the construction of microbial scavengers with improved efficiency of biodegradation while minimizing the impact of genetically engineered microbial scavengers on ecosystems. In addition, we discuss recent achievements in the biodegradation of fastidious pollutants, greenhouse gases, and microplastics using engineered microbial scavengers. Using synthetic microbial scavengers and multidisciplinary technologies, toxic pollutants could be more easily eliminated, and the environment could be more efficiently recovered.

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