The Environmental Risk of Heterogeneous Oxidation is Unneglectable: Time-Resolved Assessments beyond Typical Intermediate Investigation

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Zijie Xiao, Bowen Yang, Xiaochi Feng, Kai Sheng, Hongtao Shi, Chenyi Jiang, Pengrui Jin, Yu Tao, Wanqian Guo, Bart Van der Bruggen, Qilin Li, Nanqi Ren
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Abstract

The safety of advanced oxidation processes is paramount, surpassing treatment efficiency concerns. However, current research is limited to the qualitative toxicity investigations of targeted contaminants by-products, while the detoxification effects of heterogeneous advanced oxidation processes are largely unknown. Here we propose an environmental risk assessment that distinguishes between preferred oxidation pathways of the detoxification effects, thereby selecting the most suitable treatment system for each contaminant. Through environmental risk analyses based on the by-product quantification, more than 40% of previously overlooked toxicity has been rediscovered, significantly improving the accuracy of contaminant detoxification evaluation. The by-products contributed risk mostly reached the maximum after 30 min of reaction, evenly distributed on aquatic indicators but largely originated from on radical oxidation pathways. Density functional theory is applied to determine the generation probability of isomers, and deep neural network regression modelling accelerated derivation on structural transformation of toxic molecules. Furthermore, an evaluation system is established using risk quotients and cluster analysis classification modelling, enabling the quantitative cross-comparison in oxidation systems. This approach enhances the understanding of the safety and efficiency within oxidation processes, introducing various new methods supporting quantitative environmental risk assessment of emerging contaminant degradation in complicated heterogeneous oxidation processes.

Abstract Image

高级氧化工艺的安全性至关重要,其重要性超过了对处理效率的关注。然而,目前的研究仅限于对目标污染物副产物的定性毒性调查,而对异质高级氧化工艺的解毒效果却知之甚少。在此,我们提出了一种环境风险评估方法,它可以区分首选氧化途径的解毒效果,从而为每种污染物选择最合适的处理系统。通过基于副产品定量的环境风险分析,我们重新发现了 40% 以上以前被忽视的毒性,大大提高了污染物解毒评估的准确性。造成风险的副产物大多在反应 30 分钟后达到最大值,在水生指标上分布均匀,但主要来自自由基氧化途径。应用密度泛函理论确定了异构体的生成概率,深度神经网络回归建模加速了有毒分子结构转化的推导。此外,还利用风险商数和聚类分析分类建模建立了一个评估系统,使氧化系统的定量交叉比较成为可能。这种方法增强了对氧化过程安全性和效率的理解,引入了各种新方法,支持对复杂异质氧化过程中新出现的污染物降解进行定量环境风险评估。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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