Mechanistic Insights from Discrete Molecular Dynamics Simulations of Pesticide–Nanoparticle Interactions
Publication type: Journal Article
Publication date: 2017-07-19
scimago Q1
wos Q1
SJR: 3.690
CiteScore: 18.1
Impact factor: 11.3
ISSN: 0013936X, 15205851
PubMed ID:
28686420
General Chemistry
Environmental Chemistry
Abstract
Nanoscale particles have the potential to modulate the transport, lifetimes, and ultimate uptake of pesticides that may otherwise be bound to agricultural soils. Engineered nanoparticles provide a unique platform for studying these interactions. In this study, we utilized discrete molecular dynamics (DMD) as a screening tool for examining nanoparticle-pesticide adsorptive interactions. As a proof-of-concept, we selected a library of 15 pesticides common in the United States and 4 nanomaterials with likely natural or incidental sources, and simulated all possible nanoparticle-pesticide pairs. The resulting adsorption coefficients derived from DMD simulations ranged over several orders of magnitude, and in many cases were significantly stronger than pesticide adsorption on clay surfaces, highlighting the significance of specific nanoscale phases as a preferential media with which pesticides may associate. Binding was found to be significantly enhanced by the capacity to form hydrogen bonds with slightly hydroxylated fullerols, highlighting the importance of considering the precise nature of weathered nanomaterials as opposed to pristine precursors. Results were compared to experimental adsorption studies using selected pesticides, with a Pearson correlation coefficient of 0.97.
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29
Total citations:
29
Citations from 2024:
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(31%)
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GOST
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Geitner N. K. et al. Mechanistic Insights from Discrete Molecular Dynamics Simulations of Pesticide–Nanoparticle Interactions // Environmental Science & Technology. 2017. Vol. 51. No. 15. pp. 8396-8404.
GOST all authors (up to 50)
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Geitner N. K., Zhao W., Ding F., Chen W., Wiesner M. R. Mechanistic Insights from Discrete Molecular Dynamics Simulations of Pesticide–Nanoparticle Interactions // Environmental Science & Technology. 2017. Vol. 51. No. 15. pp. 8396-8404.
Cite this
RIS
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TY - JOUR
DO - 10.1021/acs.est.7b01674
UR - https://doi.org/10.1021/acs.est.7b01674
TI - Mechanistic Insights from Discrete Molecular Dynamics Simulations of Pesticide–Nanoparticle Interactions
T2 - Environmental Science & Technology
AU - Geitner, Nicholas K
AU - Zhao, Weilu
AU - Ding, Feng
AU - Chen, Wei
AU - Wiesner, Mark R.
PY - 2017
DA - 2017/07/19
PB - American Chemical Society (ACS)
SP - 8396-8404
IS - 15
VL - 51
PMID - 28686420
SN - 0013-936X
SN - 1520-5851
ER -
Cite this
BibTex (up to 50 authors)
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@article{2017_Geitner,
author = {Nicholas K Geitner and Weilu Zhao and Feng Ding and Wei Chen and Mark R. Wiesner},
title = {Mechanistic Insights from Discrete Molecular Dynamics Simulations of Pesticide–Nanoparticle Interactions},
journal = {Environmental Science & Technology},
year = {2017},
volume = {51},
publisher = {American Chemical Society (ACS)},
month = {jul},
url = {https://doi.org/10.1021/acs.est.7b01674},
number = {15},
pages = {8396--8404},
doi = {10.1021/acs.est.7b01674}
}
Cite this
MLA
Copy
Geitner, Nicholas K., et al. “Mechanistic Insights from Discrete Molecular Dynamics Simulations of Pesticide–Nanoparticle Interactions.” Environmental Science & Technology, vol. 51, no. 15, Jul. 2017, pp. 8396-8404. https://doi.org/10.1021/acs.est.7b01674.