Representation of the Diurnal Distribution of Organic Aerosol by Multidimensional Liquid Chromatography Systems

Authors : Elif MERTOĞLU, Rosa Maria FLORES RANGEL

Pages : 277-286

Doi:10.7240/jeps.808964

View : 13 | Download : 10

Publication Date : 2021-03-31

Article Type : Research Paper

Abstract :Aerosols have various effects on human health, climate, and ecosystems. Aerosols also have an important role in climate change by altering the radiation balance and lifetime and properties of clouds. Organic aerosol insert ignore into journalissuearticles values(OA); is composed of a mixture of hundreds to thousands of organic compounds that varies geographically, diurnally, and seasonally according to several factors, such as type and concentration of precursor, type and concentration of oxidants, temperature, relative humidity, among others. The type and number of functional groups composing individual organic species influence their interaction with water vapor and sunlight, therefore affecting both the water cycle and radiation balance. Great efforts have been made to develop analytical techniques that allow the identification and quantification of individual species composing this complex mixture of organic matter and decrease the uncertainty of models to accurately predict OA formation and evolution. It was found that most of the column combinations were not adequate and the best system was provided by methanol: water insert ignore into journalissuearticles values(1:1);. The combination of columns that provided the best separation of the standard compounds was provided by Cyclohexyl and Methyl as primary and secondary columns. However, when this combination of columns was used to represent the evolution of ambient air organic aerosols, significant co-elution was observed. The positive outcome of this study was helpful to evaluate 2D-LC as a potential technique for more accurate determination of organic aerosol components and to understand organic aerosol formation and transformation pathways that can be used in secondary organic aerosol production models.
Keywords : multidimensional liquid chromatography, organic aerosol, high time resolved samples