@article {29045,
	title = {Highly Viscous States Affect the Browning of Atmospheric Organic Particulate Matter},
	journal = {ACS CENTRAL SCIENCE},
	volume = {4},
	year = {2018},
	month = {FEB 2018},
	pages = {207-215},
	abstract = {<p>Initially transparent organic particulate matter (PM) can become shades of light-absorbing brown via atmospheric particle-phase chemical reactions. The production of nitrogen-containing compounds is one important pathway for browning. Semisolid or solid physical states of organic PM might, however, have sufficiently slow diffusion of reactant molecules to inhibit browning reactions. Herein, organic PM of secondary organic material (SOM) derived from toluene, a common SOM precursor in anthropogenically affected environments, was exposed to ammonia at different values of relative humidity (RH). The production of light-absorbing organonitrogen imines from ammonia exposure, detected by mass spectrometry and ultraviolet-visible spectrophotometry, was kinetically inhibited for RH \&lt; 20\% for exposure times of 6 min to 24 h. By comparison, from 20\% to 60\% RH organonitrogen production took place, implying ammonia uptake and reaction. Correspondingly, the absorption index k across 280 to 320 nm increased from 0.012 to 0.02, indicative of PM browning. The k value across 380 to 420 nm increased from 0.001 to 0.004. The observed RH-dependent behavior of ammonia uptake and browning was well captured by a model that considered the diffusivities of both the large organic molecules that made up the PM and the small reactant molecules taken up from the gas phase into the PM. Within the model, large-molecule diffusivity was calculated based on observed SOM viscosity and evaporation. Small-molecule diffusivity was represented by the water diffusivity measured by a quartz-crystal microbalance. The model showed that the browning reaction rates at RH \&lt; 60\% could be controlled by the low diffusivity of the large organic molecules from the interior region of the particle to the reactive surface region. The results of this study have implications for accurate modeling of atmospheric brown carbon production and associated influences on energy balance.</p>},
	doi = {10.1021/acscentsci.7b00452},
	url = {https://pubs.acs.org/doi/abs/10.1021/acscentsci.7b00452},
	author = {Liu, P.F. and Li, Y.J. and Wang, Y. and Bateman, A.P. and Zhang, Y. and Gong, Z.H. and Bertram, A.K. and Martin, S.T.}
}
