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用于降解亚甲基蓝染料的绿色有机光氧化法

Green Organo-Photooxidative Method for the Degradation of Methylene Blue Dye.

作者信息

Majeed Adnan, Ibrahim Ahmad H, Al-Rawi Sawsan S, Iqbal Muhammad Adnan, Kashif Muhammad, Yousif Muhammad, Abidin Zain Ul, Ali Shahzaib, Arbaz Muhammad, Hussain Syed Arslan

机构信息

Department of Chemistry, University of Agriculture Faisalabad, Faisalabad38000, Pakistan.

Pharmacy Department, Faculty of Pharmacy, Tishk International University, 100Mt. St, Near Baz Intersection, Erbil, KRG, Iraq.

出版信息

ACS Omega. 2024 Feb 28;9(10):12069-12083. doi: 10.1021/acsomega.3c09989. eCollection 2024 Mar 12.

Abstract

This study used an organophoto-oxidative material to degrade the toxic azo dye, methylene blue (MB), due to its hazardous effects on aquatic life and humans. MB is traditionally degraded using metal-based catalysts, resulting in high costs. Several organic acids were screened for organo-photooxidative applications against various azo dyes, and ascorbic acid (AA), also known as vitamin C, was found to be best for degradation due to its high photooxidative activity. It is an eco-friendly, edible, and efficient photooxidative material. A photocatalytic box has been developed for the study of organo-photooxidative activity. It was found that when AA was added, degradation efficiency increased from 42 to 95% within 240 min. Different characterization techniques, such as HPLC and GC-MS, were used after degradation for the structural elucidation of degraded products. DFT study was done for the investigation of the mechanistic study behind the degradation process. A statistical tool, RSM, was used for the optimization of parameters (concentration of dye, catalyst, and time). This study develops sustainable and effective solutions for wastewater treatment.

摘要

本研究使用一种有机光氧化材料来降解有毒的偶氮染料亚甲基蓝(MB),因为它对水生生物和人类有有害影响。传统上,MB使用金属基催化剂进行降解,成本很高。筛选了几种有机酸用于针对各种偶氮染料的有机光氧化应用,发现抗坏血酸(AA),也称为维生素C,由于其高光氧化活性,最适合降解。它是一种环保、可食用且高效的光氧化材料。已经开发了一个光催化箱用于研究有机光氧化活性。结果发现,添加AA后,240分钟内降解效率从42%提高到了95%。降解后使用了不同的表征技术,如HPLC和GC-MS,用于降解产物的结构解析。进行了密度泛函理论(DFT)研究以调查降解过程背后的机理。使用一种统计工具响应曲面法(RSM)来优化参数(染料浓度、催化剂和时间)。本研究为废水处理开发了可持续且有效的解决方案。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c481/10938592/646704d13eb7/ao3c09989_0001.jpg

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