Pandemic-Related Anthropogenic Influences on the Dissolved Organic Matter Chemical Character in São Paulo State Wet Deposition by Ultrahigh-Resolution Mass Spectrometry

轨道轨道 化学 雨水收集 环境化学 溶解有机碳 质谱法 有机质 色谱法 有机化学 生态学 生物
作者
Jackson Seymore,J. David Felix,Hussain Abdulla,Daniela Bergmann,M. L. A. M. Campos,Jacques Florêncio
出处
期刊:ACS earth and space chemistry [American Chemical Society]
卷期号:7 (10): 1929-1946
标识
DOI:10.1021/acsearthspacechem.3c00076
摘要

Rainwater dissolved organic matter (DOM) is a complex mixture of organic compounds, the composition of which remains largely unknown. This is despite its central role in a host of fundamentally important atmospheric processes (e.g., aerosol hygroscopicity, light absorption, etc.). This work illustrates the molecular composition of DOM in rainwater collected from February 2020 to June 2021 (n = 32 of rain samples) in Ribeirão Preto, SP (21°09′41.0″S 47°51′29.9″W), using complementary methods of traditional ion chromatography and Orbitrap mass spectrometry with novel statistical analysis. This approach provides a detailed, ultrahigh-resolution, high-throughput method for rainwater DOM investigations, demonstrated here with ultra performance liquid chromatography coupled with Orbitrap mass spectrometer, positive-mode electrospray ionization. Using this method, 2788 unique molecular formulas were identified over the mass-to-charge ratio range of 80–800. DOM character is revealed to be largely influenced by organic nitrogen, as 86.0% (2397 species) of unique organic compounds identified contained nitrogen, many likely peptides, or amino acid derivatives. Recent pandemic-related influences on anthropogenic activity in Ribeirão Preto, SP region, are observed through variations in rainwater DOM characteristics. Rainwater prior to the COVID-19 pandemic’s emergence in Brazil is distinct from reduced anthropogenic activity rainwater in the DOM character─seen as an increase in primary compounds and amino acid contribution, wider range of O/C ratios, and absence of atmospheric NOx-related CHON oligomers─and a major ion content─showing a reduction in sulfate, nitrate, potassium, and formate. Clustering analysis shows that these distinctions are mostly driven by changes in anthropogenic reactive nitrogen emissions as well as seasonal influences.

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
任娜发布了新的文献求助10
刚刚
PENGCHENGDAI完成签到,获得积分10
1秒前
无头骑士K发布了新的文献求助20
1秒前
北风2022发布了新的文献求助10
1秒前
1秒前
善良豌豆发布了新的文献求助30
2秒前
清爽大山完成签到,获得积分10
2秒前
llee2005完成签到,获得积分10
3秒前
gy完成签到,获得积分10
3秒前
Layla完成签到,获得积分10
3秒前
饭饭完成签到,获得积分10
3秒前
3秒前
3秒前
4秒前
William鉴哲发布了新的文献求助10
4秒前
xiaochen完成签到,获得积分10
5秒前
婷婷完成签到,获得积分10
5秒前
王中王完成签到,获得积分20
5秒前
小胖团发布了新的文献求助30
6秒前
ZT9完成签到,获得积分10
6秒前
饱满短靴完成签到,获得积分10
6秒前
JamesPei应助博远采纳,获得10
6秒前
田様应助忧郁的代天采纳,获得10
6秒前
6秒前
molihuakai应助JustAboutEnough采纳,获得30
7秒前
安戈完成签到 ,获得积分10
7秒前
nini完成签到 ,获得积分10
7秒前
万能图书馆应助龙启尊采纳,获得10
8秒前
bkagyin应助3129386658采纳,获得10
8秒前
SBoot完成签到,获得积分10
8秒前
9秒前
9秒前
相识发布了新的文献求助30
9秒前
orixero应助大概是粥粥采纳,获得10
10秒前
何香香能吃苦完成签到,获得积分10
10秒前
机智苗发布了新的文献求助10
10秒前
今后应助Lulu采纳,获得10
10秒前
煜琪发布了新的文献求助10
10秒前
10秒前
10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
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2500
卤化钙钛矿人工突触的研究 2000
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 600
Bounds for Statistical Estimation in Semiparametric Models 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 6498994
求助须知:如何正确求助?哪些是违规求助? 8294713
关于积分的说明 17699974
捐赠科研通 5595283
什么是DOI,文献DOI怎么找? 2917814
邀请新用户注册赠送积分活动 1894905
关于科研通互助平台的介绍 1755642