Mapping Fragmentation Pathways: Assessing Degradation Potential of Individual Organic Fractions in Concentrated Leachate Using E+/Ozonation

溶解有机碳 化学 渗滤液 降级(电信) 碎片(计算) 环境化学 光化学 计算机科学 电信 操作系统
作者
Lan Wang,Hui Wang,Chengqi Ning,Changfu Yang,Qiujie Huang,Qian Zhou,Ying Zhu,Ruina Zhang,Michael Palocz-Andresen,Luochun Wang,Ziyang Lou
出处
期刊:ACS ES&T water [American Chemical Society]
标识
DOI:10.1021/acsestwater.4c00734
摘要

Electro-ozonation (E+/ozonation) was used to degrade recalcitrant dissolved organic matter (DOM) in high-salt concentrated leachate (CL), but individual DOM molecules with varying oxidizability and their degradation mechanisms in different E+/ozonation remain unexplored. This study revealed the DOM oxidizability from molecular insight and their fragmentation-pathway mechanism by modifying the graph-DOM-based mode in Ti-based E+/ozonation. Ti4O7-E+/ozonation achieved a high-efficiency CODCr removal of 74.5%, detecting 1570 DOM precursors, 1037 resistant, and 614 products. Key molecular properties, such as molecular weight, S, C, N, and O/C, were identified as influencing DOM oxidizability. The primary nonheteroatom-involved pathways among the 42 transformation pathways were the oxygen reaction, the reaction of the dealkyl group, and carboxylic acid. More loss of the –COO group was observed in Ti4O7-E+/ozonation by Kendrick mass defect (KMD), further revealing the transformation between homologous DOM. Fragmentation pathways were refined using a machine-learning framework on graph networks based on 42 one-step paired mass distance (PMD) pathways and KMD multistep pathways, highlighting the role of absorbed •OH and O2•- in complex DOM transformations. This modified model offers the potential for predicting DOM reactivity in such a complex matrix under different treatment conditions, leading to more efficient degradation strategies.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
1秒前
one发布了新的文献求助10
2秒前
xxxxxb发布了新的文献求助10
2秒前
疯狂的醉波完成签到 ,获得积分10
2秒前
3秒前
蓝天应助曾经姝采纳,获得10
3秒前
3秒前
胖头鱼发布了新的文献求助10
4秒前
3131879775发布了新的文献求助10
4秒前
幽默梦之完成签到 ,获得积分10
4秒前
黎云完成签到,获得积分10
4秒前
草原逐鹰完成签到,获得积分20
4秒前
01发布了新的文献求助10
6秒前
7秒前
哩蒜呐发布了新的文献求助10
8秒前
舒萼完成签到,获得积分10
9秒前
10秒前
tttt发布了新的文献求助10
10秒前
枫花雪发布了新的文献求助10
10秒前
Hello应助郭京京采纳,获得10
11秒前
酷波er应助默默的巧蕊采纳,获得10
11秒前
11秒前
Jasper应助一颗红苹果采纳,获得10
11秒前
11秒前
11秒前
ozze完成签到,获得积分10
13秒前
彭于晏应助害羞小蚂蚁采纳,获得10
13秒前
菜菜完成签到 ,获得积分10
13秒前
恬恬完成签到,获得积分10
14秒前
mingming发布了新的文献求助10
14秒前
14秒前
orixero应助lin采纳,获得10
14秒前
15秒前
15秒前
16秒前
16秒前
辛勤的沛菡完成签到,获得积分10
16秒前
高高发布了新的文献求助10
16秒前
高分求助中
The Wiley Blackwell Companion to Diachronic and Historical Linguistics 3000
HANDBOOK OF CHEMISTRY AND PHYSICS 106th edition 1000
ASPEN Adult Nutrition Support Core Curriculum, Fourth Edition 1000
Decentring Leadership 800
Signals, Systems, and Signal Processing 610
脑电大模型与情感脑机接口研究--郑伟龙 500
Genera Orchidacearum Volume 4: Epidendroideae, Part 1 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6288788
求助须知:如何正确求助?哪些是违规求助? 8107342
关于积分的说明 16960048
捐赠科研通 5353654
什么是DOI,文献DOI怎么找? 2844835
邀请新用户注册赠送积分活动 1822114
关于科研通互助平台的介绍 1678156