<p><strong>Abstract.</strong> Amine-containing particles were characterized in an urban area of Chongqing during both summer and winter using a single particle aerosol mass spectrometer (SPAMS). Among the collected ambient particles, 12.7&#8201;% were amine-containing in winter and 8.3&#8201;% in summer. Amines were observed to internally mix with elemental carbon (EC), organic carbon (OC), sulfate, and nitrate. Diethylamine (DEA) was the most abundant in both number and peak area among amine-containing particles. Wintertime amine-containing particles were mainly from the northwest direction where a forest park was located; in summer, they were from the northwest and southwest (traffic hub) directions. These origins suggest that vegetation and traffic were the primary sources of particulate amines. The average relative peak area of DEA depended strongly on humidity, indicating that the enhancement of DEA was possibly due to increasing aerosol water content and aerosol acidity. Using an adaptive resonance theory neural network (ART-2a) algorithm, four major types of amine-containing particles were clustered including amine-organic-carbon (A-OC), A-OCEC, DEA-OC, and A-OCEC-aged. The identified particle types imply that amine was uptaken by particles produced from traffic and biomass burning. Knowledge gained in this study is helpful to understand the atmospheric processing, origin, and sources of amine-containing particles in the urban area of Chongqing.</p>