Introducing a prediction method for the photodegradation of p-cresol, a phenolic contaminant of emerging concern, in wastewater effluent.

IF 8.2 1区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Science of the Total Environment Pub Date : 2024-12-10 Epub Date: 2024-11-02 DOI:10.1016/j.scitotenv.2024.177275
Emad Sanei, Itzel Marquez
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引用次数: 0

Abstract

Despite extensive efforts to understand the photodegradation of phenolic contaminants of emerging concern (PhCECs) in aquatic systems, prediction methods, especially in waters containing effluent organic matter (EfOM), remain underdeveloped. This study introduces a prediction method for p-cresol, a representative PhCECs, based on correlations between EfOM optical parameters and p-cresol kinetic parameters. We examined p-cresol photodegradation in various EfOM samples, characterized by their optical properties, and used the reaction rate coefficient between EfOM and p-cresol, α3EfOM⁎, to quantify and predict p-cresol degradation in different wastewater effluent samples. Results showed significant correlations between p-cresol's photodegradation rate constant (0.144 to 0.441 h-1) and EfOM characteristics, with α3EfOM⁎ values ranging from 4 × 1011 to 10 × 1011 M-1 s-1. The method was validated with p-cresol at concentrations ranging from 25 to 100 μM and multiple EfOM samples. The method's applicability was further evaluated using propranolol, a pharmaceutical contaminant of emerging concern, demonstrating its versatility for predicting the degradation behavior of other contaminants in different wastewater samples. The method accurately predicted p-cresol and propranolol degradation across diverse wastewater samples, suggesting its potential for expansion to other classes of contaminants, aiding in water quality management, improving wastewater treatment processes, and enhancing environmental risk assessments.

介绍一种预测废水中新出现的酚类污染物对甲酚光降解的方法。
尽管人们在了解水生系统中新出现的酚类污染物(PhCECs)的光降解方面做出了大量努力,但预测方法,尤其是在含有污水有机物(EfOM)的水域中的预测方法,仍然不够完善。本研究基于 EfOM 光学参数与对甲酚动力学参数之间的相关性,介绍了一种对甲酚(一种代表性 PhCECs)的预测方法。我们考察了对甲酚在不同 EfOM 样品中的光降解情况(以其光学特性为特征),并利用 EfOM 与对甲酚之间的反应速率系数 α3EfOM⁎ 来量化和预测对甲酚在不同污水样品中的降解情况。结果表明,对甲酚的光降解速率常数(0.144 至 0.441 h-1)与 EfOM 特性之间存在明显的相关性,α3EfOM⁎ 值范围为 4 × 1011 至 10 × 1011 M-1 s-1。使用浓度为 25 至 100 μM 的对甲酚和多个 EfOM 样品对该方法进行了验证。使用普萘洛尔(一种新出现的药物污染物)对该方法的适用性进行了进一步评估,证明了该方法在预测不同废水样品中其他污染物降解行为方面的多功能性。该方法能准确预测对甲酚和普萘洛尔在不同废水样本中的降解情况,这表明它有潜力扩展到其他类别的污染物,从而有助于水质管理、改进废水处理工艺和加强环境风险评估。
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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来源期刊
Science of the Total Environment
Science of the Total Environment 环境科学-环境科学
CiteScore
17.60
自引率
10.20%
发文量
8726
审稿时长
2.4 months
期刊介绍: The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.
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