Linking Redox Characteristics to Dissolved Organic Matter Derived from Different Biowaste Composts: A Theoretical Modeling Approach Based on FT–ICR MS Analysis

堆肥 氧化还原 溶解有机碳 化学 环境化学 生物地球化学循环 有机质 有机化学 废物管理 工程类
作者
Xinyu Zhao,Qiuling Dang,Yan Wang,Chuanyan Zhang,Yating Chen,Liangzi He,Beidou Xi
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:57 (40): 15076-15086 被引量:9
标识
DOI:10.1021/acs.est.3c03286
摘要

Compost dissolved organic matter (DOM) is a complex mixture of redox-active organic molecules that impact various biogeochemical processes in soil environments. However, the impact of chemical complexity (heterogeneity and chemodiversity) on the electron accepting capacity (EAC) and electron donating capacity (EDC) of DOM molecules remains unclear, which hinders our ability to predict their environmental behavior and redox properties. In this study, the applicability of Vienna Soil Organic Matter Modeler 2 (VSOMM2) to the composting system based on the FT-ICR MS data has been validated. A molecular modeling approach using VSOMM2 and Schrödinger software was developed to quantitatively assess the redox sites and molecular interactions of compost DOM. Compost DOM molecules are categorized into three distinct groups based on their heterogeneous origins. In addition, we have developed 18 molecular models of compost DOM based on the links of molecules to EAC/EDC. Finally, Ar-OH, quinone, Ar-SH, and Ar-NH2 were identified as the redox sites; noncovalent contacts, H bonds, salt bridges, and aromatic-H bonds might be significant electronic transmission channels of compost DOM. Our findings contribute to the development of precise regulatory methods for functional molecules within compost DOM, providing the fine standards for composts matching specific ecosystem service requirements.
最长约 10秒,即可获得该文献文件

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
灰色铅笔发布了新的文献求助10
1秒前
蜡笔小新完成签到 ,获得积分10
3秒前
今后应助陈曦采纳,获得10
4秒前
兰西完成签到,获得积分10
7秒前
我爱学习完成签到 ,获得积分10
7秒前
zcj完成签到,获得积分10
8秒前
8秒前
SciGPT应助科研通管家采纳,获得10
8秒前
科研通AI5应助科研通管家采纳,获得10
8秒前
完美世界应助科研通管家采纳,获得10
8秒前
Akim应助科研通管家采纳,获得10
8秒前
科研通AI5应助科研通管家采纳,获得10
8秒前
8秒前
wangle_17应助科研通管家采纳,获得10
8秒前
腼腆的修杰完成签到,获得积分10
9秒前
walden完成签到,获得积分10
16秒前
18秒前
6633发布了新的文献求助10
21秒前
ABC发布了新的文献求助10
21秒前
23秒前
思思完成签到,获得积分10
23秒前
动漫大师发布了新的文献求助10
24秒前
bkagyin应助KaK采纳,获得10
27秒前
lululala发布了新的文献求助10
28秒前
29秒前
30秒前
34秒前
35秒前
36秒前
lululala完成签到,获得积分10
37秒前
37秒前
Hey发布了新的文献求助10
38秒前
syyw2021发布了新的文献求助30
41秒前
细心可乐完成签到 ,获得积分10
42秒前
KaK发布了新的文献求助10
42秒前
zzz驳回了Hello应助
43秒前
灵活又幸福的胖完成签到,获得积分10
53秒前
吃猫的鱼发布了新的文献求助10
53秒前
一坨完成签到,获得积分10
53秒前
54秒前
高分求助中
All the Birds of the World 4000
Production Logging: Theoretical and Interpretive Elements 3000
Les Mantodea de Guyane Insecta, Polyneoptera 2000
Am Rande der Geschichte : mein Leben in China / Ruth Weiss 1500
CENTRAL BOOKS: A BRIEF HISTORY 1939 TO 1999 by Dave Cope 1000
Machine Learning Methods in Geoscience 1000
Resilience of a Nation: A History of the Military in Rwanda 888
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3738565
求助须知:如何正确求助?哪些是违规求助? 3281918
关于积分的说明 10026959
捐赠科研通 2998717
什么是DOI,文献DOI怎么找? 1645425
邀请新用户注册赠送积分活动 782788
科研通“疑难数据库(出版商)”最低求助积分说明 749931