Varoutoglou Athanasios T, Maroulas Konstantinos N, Kostoglou Margaritis, Favvas Evangelos P, Lambropoulou Dimitra A, Mitropoulos Athanasios C, Kyzas George Z
Hephaestus Laboratory, School of Chemistry, Faculty of Sciences, Democritus University of Thrace, GR-65404 Kavala, Greece.
Laboratory of Chemical Technology, School of Chemistry, Aristotle University of Thessaloniki, Thessaloniki 541 24, Greece.
Langmuir. 2025 Aug 19;41(32):21576-21590. doi: 10.1021/acs.langmuir.5c02324. Epub 2025 Aug 5.
The presence of dyes in industrial effluents causes significant environmental harm. Traditional wastewater treatment technologies are insufficient to remove dyes rapidly. This study examined the degradation efficiency of dyes (Methylene Blue (MB) and Remazol Brilliant Blue R (RBBR)) by using nanobubbles (NBs) of ozone (O), oxygen (O), and air. For their generation, hydrodynamic cavitation was selected. The impacts of the flow rate, pH, reaction kinetics, and initial pollutant concentration were investigated. As expected, the flow rate affected NB size and concentration, impacting pollutant removal efficiency. ζ potential showed that O@NBs achieved the highest absolute value of 27.8 mV at pH 7.5, exhibiting the best stability and performance. Experimental results show that the implantation of O@NBs rapidly removes 100% of MB and RBBR within 15 min, independent of pollutant concentration or pH. O and air NBs had lower removal efficiencies, indicating the higher oxidative potential of O@NBs. In addition, the soluble O@NBs managed to degrade 40 and 65% of the total organic content for MB and RBBR, respectively. Kinetics analysis showed that all NBs follow a first-order kinetic model. The stability of produced NBs was explored over the span of 1 year, revealing O@NBs as the most stable. Exploring the application in real textile wastewater showed that O@NBs can effectively be employed to obtain clear water, since it removed >70% of both the dye and total dissolved solids present in the solution. Also, scavenger studies revealed that hydroxyl radicals are highly responsible for the degradation of both MB and RBBR. Overall, this work provides a mechanistic understanding of the reactivity of O@NBs, O@NBs, and Air@NBs and sheds light on the importance of nanobubble features and reaction parameters in optimizing advanced oxidation processes for wastewater treatment applications.
工业废水中染料的存在会对环境造成严重危害。传统的废水处理技术不足以快速去除染料。本研究考察了臭氧(O)、氧气(O)和空气的纳米气泡(NBs)对染料(亚甲基蓝(MB)和雷马素亮蓝R(RBBR))的降解效率。在生成纳米气泡时,选用了水力空化法。研究了流速、pH值、反应动力学和初始污染物浓度的影响。正如预期的那样,流速影响纳米气泡的大小和浓度,进而影响污染物的去除效率。ζ电位表明,O@NBs在pH值为7.5时达到最高绝对值27.8 mV,表现出最佳的稳定性和性能。实验结果表明,注入O@NBs能在15分钟内迅速去除100%的MB和RBBR,且不受污染物浓度或pH值的影响。O和空气纳米气泡的去除效率较低,表明O@NBs具有更高的氧化电位。此外,可溶性O@NBs分别使MB和RBBR的总有机含量降解了40%和65%。动力学分析表明,所有纳米气泡均符合一级动力学模型。在1年的时间跨度内探索了所产生纳米气泡的稳定性,结果表明O@NBs最稳定。对实际纺织废水的应用探索表明,O@NBs可有效地用于获得清水,因为它去除了溶液中>70%的染料和总溶解固体。此外,清除剂研究表明,羟基自由基对MB和RBBR的降解起主要作用。总的来说,这项工作提供了对O@NBs、O@NBs和Air@NBs反应性的机理理解,并阐明了纳米气泡特性和反应参数在优化废水处理应用的高级氧化过程中的重要性。