A review of bioremediation of textile dye containing wastewater

Aravin Prince Periyasamy
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Abstract

The increasing prevalence of synthetic dyes in wastewater has become a significant environmental issue, primarily due to their extensive utilization in diverse industries such as textiles, food manufacturing, and pharmaceuticals. These dyes are frequently discharged without treatment into water bodies or employed for irrigation, present substantial hazards to human health and ecosystems. This review manuscript specifically examines the environmental consequences of wastewater containing dyes and explores the viability of bioremediation as an environmentally friendly treatment approach. Conventional chemical treatment methods for dye removal often generate large volumes of sludge, requiring complex and costly management. In contrast, biological treatment offers an eco-friendly and efficient alternative, utilizing microorganisms to degrade dye compounds and reduce environmental impact. This review focuses on recent advancements in the bioremediation of dye-contaminated wastewater, emphasizing the role of diverse biological agents such as bacteria, fungi, algae, yeast, and enzymes. It also explores the integration of genetically modified organisms (GMOs), nano-bioremediation, and the application of nanotechnology and artificial intelligence (AI) facilitates bioremediation via predictive modeling, optimization, process regulation and automation, microbial interaction analysis, and the integration of large datasets. The paper critically evaluates current challenges, emerging technologies, and the potential of sustainable, biologically based approaches to mitigate the environmental impact of textile dye pollution.
纺织染料废水的生物修复研究进展
由于合成染料在纺织、食品制造和制药等不同行业的广泛应用,废水中合成染料的日益普遍已成为一个重大的环境问题。这些染料经常未经处理就排入水体或用于灌溉,对人类健康和生态系统造成重大危害。本文综述了含染料废水对环境的影响,并探讨了生物修复作为一种环境友好型处理方法的可行性。传统的化学去除染料的方法通常会产生大量的污泥,需要复杂和昂贵的管理。相比之下,生物处理提供了一种环保和有效的替代方案,利用微生物降解染料化合物并减少对环境的影响。本文综述了染料污染废水生物修复的最新进展,重点介绍了细菌、真菌、藻类、酵母和酶等多种生物制剂在染料污染废水生物修复中的作用。它还探讨了转基因生物(GMOs)、纳米生物修复的整合,以及纳米技术和人工智能(AI)的应用,通过预测建模、优化、过程调节和自动化、微生物相互作用分析和大型数据集的集成来促进生物修复。本文批判性地评估了当前的挑战、新兴技术以及可持续的、基于生物的方法的潜力,以减轻纺织染料污染对环境的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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