Influence of Oxygen Exposure on Lignin Preservation during Sediment Lateral Transport in the Ocean: Insights from Molecular Dynamics Simulations

木质素 沉积物 环境科学 氧气 泥沙输移 环境化学 海洋学 化学 地质学 地貌学 有机化学
作者
S. J. Zhao,Lei Xing,Junhui Chen,Ziyang Yang,Yangli Che,Rui Xiao,Jianbo Yang,Rui Bao
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:58 (42): 18756-18764 被引量:5
标识
DOI:10.1021/acs.est.4c06185
摘要

Understanding the fate of terrestrial organic carbon (terrOC) preservation in the marine environments is critical for deciphering the biogeochemical processes associated with the global carbon cycle and the Earth's climate change. The mechanisms controlling terrOC preservation are not completely understood, while lateral oxygen exposure time (OET) is considered as a critical controlling factor. Here, we first utilized molecular dynamics simulations to investigate the structural properties of lignin under anoxic, suboxic, and oxic conditions for understanding the mechanisms of terrOC preservation during sediment lateral transport in the ocean. Our finding suggested that oxygen exposure was indispensable for terrOC degradation through influencing the structural stability and reactivity of lignin. Our simulated results showed that in suboxic environments, prolonged OET may enhance terrOC preservation. Our organic geochemical results suggested that terrOC preferably preserved in coarse silts (20-63 μm) than fine silts (<20 μm) in suboxic environments, largely due to hydrodynamics-driven prolonged OET in coarse sediments, which may efficiently reduce CO2 emissions. Overall, our study sheds new light on the mechanisms of lateral OETs on terrOC preservation in suboxic conditions and, from a unique molecular structural perspective, provides insights into the impact of prolonged OETs on terrOC oxidative degradation in the marine environment.
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
Xi完成签到,获得积分10
刚刚
江上发布了新的文献求助10
1秒前
可爱的函函应助ZYBKYT采纳,获得10
1秒前
Mo完成签到 ,获得积分10
2秒前
天真枫发布了新的文献求助10
2秒前
xunuo完成签到,获得积分10
2秒前
科研通AI6.3应助Dear采纳,获得10
2秒前
3秒前
JamesPei应助简单的可乐采纳,获得10
3秒前
喵喵不二完成签到 ,获得积分10
4秒前
ding应助一土采纳,获得30
4秒前
Persistence发布了新的文献求助10
5秒前
02发布了新的文献求助30
6秒前
YAO完成签到 ,获得积分10
6秒前
科研通AI6.3应助lyx采纳,获得10
7秒前
8秒前
香蕉觅云应助科研通管家采纳,获得10
8秒前
Lny应助科研通管家采纳,获得10
8秒前
乐观秋荷应助科研通管家采纳,获得10
8秒前
爆米花应助科研通管家采纳,获得10
8秒前
8秒前
无花果应助科研通管家采纳,获得10
8秒前
脑洞疼应助科研通管家采纳,获得10
8秒前
油料种子应助科研通管家采纳,获得10
8秒前
8秒前
华仔应助科研通管家采纳,获得10
8秒前
9秒前
爆米花应助科研通管家采纳,获得10
9秒前
9秒前
乐观秋荷应助科研通管家采纳,获得10
9秒前
9秒前
上官若男应助科研通管家采纳,获得10
9秒前
Owen应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
9秒前
我是老大应助科研通管家采纳,获得10
9秒前
9秒前
9秒前
乐观秋荷应助科研通管家采纳,获得10
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
The SAGE Dictionary of Qualitative Inquiry 610
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 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 6345795
求助须知:如何正确求助?哪些是违规求助? 8160459
关于积分的说明 17162158
捐赠科研通 5401910
什么是DOI,文献DOI怎么找? 2860950
邀请新用户注册赠送积分活动 1838784
关于科研通互助平台的介绍 1688145