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Sim, Inseon,Suh, Dong Ho,Singh, Digar,Do, Seon-Gil,Moon, Kwang Hyun,Lee, Jeong Ho,Ku, Kang-Mo,Lee, Choong Hwan American Chemical Society, Books and Journals Divi 2017 Journal of agricultural and food chemistry Vol.65 No.41
<P>Temporal geo-climatic variations are presumably vital determinants of phenotypic traits and quality characteristics of berries manifested through reconfigured metabolomes. We performed an untargeted mass spectrometry (MS)-based metabolomic analysis of blueberry (<I>Vaccinium</I> spp.) and chokeberry (<I>Aronia melanocarpa</I>) sample extracts harvested from different geo-climatic regions in Korea. The multivariate statistical analysis indicated distinct metabolite compositions of berry groups based on different species and regions. The amino acids levels were relatively more abundant in chokeberry than in blueberry, while the sugar contents were comparatively higher in blueberry. However, the metabolite compositions were also dependent on geo-climatic conditions, especially latitude. Notwithstanding the cultivar types, amino acids, and sucrose were relatively more abundant in berries harvested from 35°N and 36°N geo-climatic regions, respectively, characterized by distinct duration of sunshine and rainfall patterns. The present study showed the ability of a metabolomics approach for recapitulating the significance of geo-climatic parameters for quality characterization of commercial berry types.</P><P><B>Graphic Abstract</B> <IMG SRC='http://pubs.acs.org/appl/literatum/publisher/achs/journals/content/jafcau/2017/jafcau.2017.65.issue-41/acs.jafc.7b04065/production/images/medium/jf-2017-040656_0007.gif'></P><P><A href='http://pubs.acs.org/doi/suppl/10.1021/jf7b04065'>ACS Electronic Supporting Info</A></P>
Meteorological and Chemical Factors Controlling Ozone Formation in Seoul during MAPS-Seoul 2015
Kim, Heejeong,Choi, Woo-Chul,Rhee, Ho-Jun,Suh, Inseon,Lee, Meehye,Blake, Donald R.,Kim, Saewung,Jung, Jinsang,Lee, Gangwoong,Kim, Deug-Soo,Park, Seung-Myung,Ahn, Junyoung,Lee, Sang Deok Taiwan Association for Aerosol Research 2018 Aerosol and air quality research Vol.18 No.9
Characteristics and source apportionment of fine haze aerosol in Beijing during the winter of 2013
Shang, Xiaona,Zhang, Kai,Meng, Fan,Wang, Shihao,Lee, Meehye,Suh, Inseon,Kim, Daigon,Jeon, Kwonho,Park, Hyunju,Wang, Xuezhong,Zhao, Yuxi Copernicus GmbH 2018 Atmospheric Chemistry and Physics Vol.18 No.4
<P>Abstract. For PM2.5 filter samples collected daily at the Chinese Research Academy of Environmental Sciences (Beijing, China) from December of 2013 to February of 2014 (the winter period), chemical characteristics and sources were investigated with an emphasis on haze events in different alert levels. During the 3 months, the average PM2.5 concentration was 89 µg m−3, exceeding the Chinese national standard of 75 µg m−3 in 24 h. The maximum PM2.5 concentration was 307 µg m−3, which characterizes developed-type pollution (PM2.5 / PM10>0.5) in the World Health Organization criteria. PM2.5 was dominated by SO42−, NO3−, and pseudo-carbonaceous compounds with obvious differences in concentrations and proportions between non-haze and haze episodes. The non-negative matrix factorization (NMF) analysis provided reasonable PM2.5 source profiles, by which five sources were identified: soil dust, traffic emission, biomass combustion, industrial emission, and coal combustion accounting for 13, 22, 12, 28, and 25 % of the total, respectively. The dust impact increased with northwesterlies during non-haze periods and decreased under stagnant conditions during haze periods. A blue alert of heavy air pollution was characterized by the greatest contribution from industrial emissions (61 %). During the Chinese Lantern Festival, an orange alert was issued and biomass combustion was found to be the major source owing to firework explosions. Red-alert haze was almost equally contributed by local traffic and transported coal combustion emissions from the vicinity of Beijing (approximately 40 % each) that was distinguished by the highest levels of NO3− and SO42−, respectively. This study also reveals that the severity and source of haze are largely dependent on meteorological conditions. </P>