Benzo[a]pyrene and heavy metal ion adsorption on nanoplastics regulated by humic acid: Cooperation/competition mechanisms revealed by molecular dynamics simulations

吸附 化学 腐植酸 阳离子聚合 疏水效应 金属 分子动力学 氢键 堆积 水溶液中的金属离子 化学工程 无机化学 有机化学 分子 计算化学 工程类 肥料
作者
Feng Hao,Yingjie Liu,Yan Xu,Shixin Li,Xia Liu,Yanhui Dai,Jian Zhao,Tongtao Yue
出处
期刊:Journal of Hazardous Materials [Elsevier BV]
卷期号:424: 127431-127431 被引量:54
标识
DOI:10.1016/j.jhazmat.2021.127431
摘要

Nanoplastics adsorb pollutants and organic matter to aggravate or alleviate impact to the eco-environment and human health. However, the interaction mechanisms remain unclear and difficult to study using current experimental techniques. By means of molecular dynamics simulation, here we investigate adsorption of benzo[a]pyrene (BaP) and heavy metal ions (Cu2+) on nanoplastics of different materials and surface charges regulated by humic acid (HA). Among considered materials, polystyrene shows the highest capacity of adsorbing BaPs via forming sandwiched π-stacking structures with benzene rings. Driven by hydrophobic, electrostatic and hydrogen bonding interactions, HAs spontaneously aggregate into micelle-like structures with hydrophobic core and charged exterior accessible to BaPs and Cu2+, respectively. Cationic and neutral nanoplastics adsorb more HAs to form eco-coronas, which modulate BaP and Cu2+ adsorption via following cooperation/competition mechanisms. On one hand, the direct binding of BaPs to nanoplastics is hindered by HAs through BaP encapsulation plus competitive adsorption. On the other hand, adsorbed HAs expose carboxyl groups to offer rich binding sites to promote Cu2+ adsorption on neutral and cationic nanoplastics, while unbound HAs compete with anionic nanoplastics to inhibit Cu2+ adsorption. These results provide molecular level insights into transport, transformation and accessibility of nanoplastics with coexisting contaminants in the aqueous 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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
量子星尘发布了新的文献求助10
刚刚
刚刚
跳跃稀完成签到,获得积分10
1秒前
虾仁发布了新的文献求助10
2秒前
2秒前
罗海发布了新的文献求助20
2秒前
ych完成签到,获得积分10
3秒前
秋寒松完成签到,获得积分10
3秒前
GuangChe应助简单的大哥采纳,获得50
3秒前
Kin_L发布了新的文献求助10
4秒前
Eazin发布了新的文献求助10
4秒前
星辰大海应助MAOJCFK采纳,获得10
4秒前
佩奇rachel关注了科研通微信公众号
4秒前
豆豆完成签到 ,获得积分10
5秒前
搜集达人应助scccc采纳,获得10
7秒前
Yaaaaaa发布了新的文献求助30
7秒前
M跃发布了新的文献求助10
7秒前
CipherSage应助刘国建郭菱香采纳,获得10
7秒前
8秒前
开心夜云完成签到,获得积分10
8秒前
bigchui完成签到,获得积分10
9秒前
Shale完成签到,获得积分10
9秒前
情怀应助冷艳的孤晴采纳,获得10
9秒前
嵩嵩发布了新的文献求助20
9秒前
11秒前
真实的天蓉完成签到,获得积分20
11秒前
11秒前
阿拉发布了新的文献求助10
12秒前
pengliao完成签到,获得积分10
12秒前
13秒前
viogriffin发布了新的文献求助10
13秒前
13秒前
李健的小迷弟应助LHH0411采纳,获得10
13秒前
Sarah悦发布了新的文献求助10
14秒前
阔达的金鱼完成签到,获得积分10
14秒前
RC_Wang完成签到,获得积分0
15秒前
能干念双发布了新的文献求助10
16秒前
咳咳发布了新的文献求助10
16秒前
自由的雨南完成签到 ,获得积分10
17秒前
颜云尔完成签到,获得积分10
17秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
T/CIET 1202-2025 可吸收再生氧化纤维素止血材料 500
Interpretation of Mass Spectra, Fourth Edition 500
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 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3954647
求助须知:如何正确求助?哪些是违规求助? 3500801
关于积分的说明 11101075
捐赠科研通 3231264
什么是DOI,文献DOI怎么找? 1786399
邀请新用户注册赠送积分活动 869980
科研通“疑难数据库(出版商)”最低求助积分说明 801751