Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
Amine-Enhanced Methanesulfonic Acid-Driven Nucleation : Predictive Model and Cluster Formation Mechanism. / Liu, Yu; Xie, Hong-Bin; Ma, Fangfang et al.
In: Environmental Science & Technology, Vol. 56, No. 12, 05.2022, p. 7751-7760.Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review
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TY - JOUR
T1 - Amine-Enhanced Methanesulfonic Acid-Driven Nucleation
T2 - Predictive Model and Cluster Formation Mechanism
AU - Liu, Yu
AU - Xie, Hong-Bin
AU - Ma, Fangfang
AU - Chen, Jingwen
AU - Elm, Jonas
PY - 2022/5
Y1 - 2022/5
N2 - Atmospheric amines are considered to be an effective enhancer for methanesulfonic acid (MSA)-driven nucleation. However, out of the 195 detected atmospheric amines, the enhancing potential (EP) has so far only been studied for five amines. This severely hinders the understanding of the contribution of amines to MSA-driven nucleation. Herein, a two-step procedure was employed to probe the EP of various amines on MSA-driven nucleation. Initially, the formation free energies (Delta G) of 50 MSA-amine dimer clusters were calculated. Based on the calculated Delta G values, a robust quantitative structure-activity relationship (QSAR) model was built and utilized to predict the Delta G values of the remaining 145 amines. The QSAR model identified two guanidino-containing compounds as the potentially strongest enhancer for MSA-driven nucleation. Second, the EP of guanidino-containing compounds was studied by employing larger clusters and selecting guanidine (Gud) as a representative. The results indicate that Gud indeed has the strongest EP. The Gud- MSA system presents a unique clustering mechanism, proceeding via the initial formation of the (Gud)(1)(MSA)(1) cluster, and subsequently by cluster collisions with either a (Gud)(1)(MSA)(1) or (Gud)(2 )(MSA)(2) cluster. The developed QSAR model and the identification of amines with the strongest EP provide a foundation for comprehensively evaluating the contribution of atmospheric amines to MSA-driven nucleation.
AB - Atmospheric amines are considered to be an effective enhancer for methanesulfonic acid (MSA)-driven nucleation. However, out of the 195 detected atmospheric amines, the enhancing potential (EP) has so far only been studied for five amines. This severely hinders the understanding of the contribution of amines to MSA-driven nucleation. Herein, a two-step procedure was employed to probe the EP of various amines on MSA-driven nucleation. Initially, the formation free energies (Delta G) of 50 MSA-amine dimer clusters were calculated. Based on the calculated Delta G values, a robust quantitative structure-activity relationship (QSAR) model was built and utilized to predict the Delta G values of the remaining 145 amines. The QSAR model identified two guanidino-containing compounds as the potentially strongest enhancer for MSA-driven nucleation. Second, the EP of guanidino-containing compounds was studied by employing larger clusters and selecting guanidine (Gud) as a representative. The results indicate that Gud indeed has the strongest EP. The Gud- MSA system presents a unique clustering mechanism, proceeding via the initial formation of the (Gud)(1)(MSA)(1) cluster, and subsequently by cluster collisions with either a (Gud)(1)(MSA)(1) or (Gud)(2 )(MSA)(2) cluster. The developed QSAR model and the identification of amines with the strongest EP provide a foundation for comprehensively evaluating the contribution of atmospheric amines to MSA-driven nucleation.
KW - atmospheric cluster dynamics simulation
KW - quantum chemical calculation
KW - atmospheric particles
KW - QSAR
KW - guanidine
KW - REACTION-RATE CONSTANTS
KW - PARTICLE FORMATION
KW - SULFURIC-ACID
KW - ORGANIC-CHEMICALS
KW - OXALIC-ACID
KW - PROTON-TRANSFER
KW - GAS-PHASE
KW - AEROSOL
KW - GROWTH
KW - NANOPARTICLES
U2 - 10.1021/acs.est.2c01639
DO - 10.1021/acs.est.2c01639
M3 - Journal article
C2 - 35593326
VL - 56
SP - 7751
EP - 7760
JO - Environmental Science & Technology (Washington)
JF - Environmental Science & Technology (Washington)
SN - 0013-936X
IS - 12
ER -