Article
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Bibliography Analysis on Bioremediation on Heavy Metal Pollution
Version 1
: Received: 20 February 2024 / Approved: 20 February 2024 / Online: 20 February 2024 (11:51:15 CET)
How to cite: Ding, Y. Bibliography Analysis on Bioremediation on Heavy Metal Pollution. Preprints 2024, 2024021130. https://doi.org/10.20944/preprints202402.1130.v1 Ding, Y. Bibliography Analysis on Bioremediation on Heavy Metal Pollution. Preprints 2024, 2024021130. https://doi.org/10.20944/preprints202402.1130.v1
Abstract
Heavy metal pollution poses a significant threat to ecosystems and human health worldwide. In response to this pressing issue, bioremediation has emerged as a promising approach for mitigating contamination. This paper adopts a bibliographic method to explore the key techniques and applications of bioremediation. Furthermore, we delve into the most prominent threats to human environmental health and the corresponding remediation methods. Additionally, we discuss the future trajectory of bioremediation research, with a particular focus on the integration of big data and machine learning technologies. These advanced methodologies hold great potential for enhancing the effectiveness and efficiency of environmental remediation efforts in the face of escalating pollution challenges.
Keywords
Heavy metal pollution; Bioremediation; Bibliographic method; Big data; Machine learning
Subject
Biology and Life Sciences, Biology and Biotechnology
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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