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Prof. Dr. Jong-Sang Youn
Department of Energy and Environmental Engineering, The Catholic University of Korea, Seoul 07345, Korea

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0 Air Pollution
0 Climate Change
0 Health Effects
0 Particulate Matter
0 Aerosol chemistry and physics

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Journal article
Published: 31 May 2021 in Nanomaterials
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The lacking of laboratory black carbon (BC) samples have long challenged the corresponding toxicological research; furthermore, the toxicity tests of engineered carbon nanoparticles were unable to reflect atmospheric BC. As a simplified approach, we have synthesized artificial BC (aBC) for the purpose of representing atmospheric BC. Surface chemical properties of aBC were controlled by thermal treatment, without transforming its physical characteristics; thus, we were able to examine the toxicological effects on A549 human lung cells arising from aBC with varying oxidation surface properties. X-ray photoelectron spectroscopy, as well as Raman and Fourier transform infrared spectroscopy, verified the presence of increased amounts of oxygenated functional groups on the surface of thermally-treated aBC, indicating aBC oxidization at elevated temperatures; aBC with increased oxygen functional group content displayed increased toxicity to A549 cells, specifically by decreasing cell viability to 45% and elevating reactive oxygen species levels up to 294% for samples treated at 800 °C.

ACS Style

Yen Le; Jong-Sang Youn; Hi-Gyu Moon; Xin-Yu Chen; Dong-Im Kim; Hyun-Wook Cho; Kyu-Hong Lee; Ki-Joon Jeon. Relationship between Cytotoxicity and Surface Oxidation of Artificial Black Carbon. Nanomaterials 2021, 11, 1455 .

AMA Style

Yen Le, Jong-Sang Youn, Hi-Gyu Moon, Xin-Yu Chen, Dong-Im Kim, Hyun-Wook Cho, Kyu-Hong Lee, Ki-Joon Jeon. Relationship between Cytotoxicity and Surface Oxidation of Artificial Black Carbon. Nanomaterials. 2021; 11 (6):1455.

Chicago/Turabian Style

Yen Le; Jong-Sang Youn; Hi-Gyu Moon; Xin-Yu Chen; Dong-Im Kim; Hyun-Wook Cho; Kyu-Hong Lee; Ki-Joon Jeon. 2021. "Relationship between Cytotoxicity and Surface Oxidation of Artificial Black Carbon." Nanomaterials 11, no. 6: 1455.

Journal article
Published: 16 April 2021 in Sustainability
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This study examines environmental impact assessment considering filterable particulate matter (FPM) and condensable particulate matter (CPM) to improve the accuracy of the air quality model. Air pollutants and meteorological data were acquired from Korea’s national monitoring station near a residential development area in the target district and background site. Seasonal emissions of PM2.5, including CPM, were estimated using the California puff (CALPUFF) model, based on Korea’s national emissions inventory. These results were compared with the traditional environmental impact assessment results. For the residential development area, the seasonal PM2.5 concentration was predicted by considering FPM and CPM emissions in the target area as well as the surrounding areas. In winter and spring, air quality standards were not breached because only FPM was considered. However, when CPM was included in the analysis, the results exceeded the air quality standards. Furthermore, it was predicted that air quality standards would not be breached in summer and autumn, even when CPM is included. In other words, conducting an environmental impact assessment on air pollution including CPM affects the final environmental decision. Therefore, it is concluded that PM2.5 should include CPM for greater accuracy of the CALPUFF model for environmental impact assessment.

ACS Style

Doo Choi; Jong-Sang Youn; Im Lee; Byung Choi; Ki-Joon Jeon. Considering Condensable Particulate Matter Emissions Improves the Accuracy of Air Quality Modeling for Environmental Impact Assessment. Sustainability 2021, 13, 4470 .

AMA Style

Doo Choi, Jong-Sang Youn, Im Lee, Byung Choi, Ki-Joon Jeon. Considering Condensable Particulate Matter Emissions Improves the Accuracy of Air Quality Modeling for Environmental Impact Assessment. Sustainability. 2021; 13 (8):4470.

Chicago/Turabian Style

Doo Choi; Jong-Sang Youn; Im Lee; Byung Choi; Ki-Joon Jeon. 2021. "Considering Condensable Particulate Matter Emissions Improves the Accuracy of Air Quality Modeling for Environmental Impact Assessment." Sustainability 13, no. 8: 4470.

Journal article
Published: 03 November 2020 in Catalysts
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Water splitting is one of the efficient ways to produce hydrogen with zero carbon dioxide emission. Thus far, Pt has been regarded as a highly reactive catalyst for the hydrogen evolution reaction (HER); however, the high cost and rarity of Pt significantly hinder its commercial use. Herein, we successfully developed an HER catalyst composed of NiSx (x = 1 or 2) on stainless steel (NiSx/SUS) using electrodeposition and sulfurization techniques. Notably, the electrochemical active surface area(ECSA) of NiSx/SUS was improved more than two orders of magnitude, resulting in a considerable improvement in the electrochemical charge transfer and HER activity in comparison with stainless steel (SUS). The long-term HER examination by linear scan voltammetry (LSV) confirmed that NiSx/SUS was stable up to 2000 cycles.

ACS Style

Jong-Sang Youn; Sangmin Jeong; Inhwan Oh; Sunyoung Park; Hien Mai; Ki-Joon Jeon. Enhanced Electrocatalytic Activity of Stainless Steel Substrate by Nickel Sulfides for Efficient Hydrogen Evolution. Catalysts 2020, 10, 1274 .

AMA Style

Jong-Sang Youn, Sangmin Jeong, Inhwan Oh, Sunyoung Park, Hien Mai, Ki-Joon Jeon. Enhanced Electrocatalytic Activity of Stainless Steel Substrate by Nickel Sulfides for Efficient Hydrogen Evolution. Catalysts. 2020; 10 (11):1274.

Chicago/Turabian Style

Jong-Sang Youn; Sangmin Jeong; Inhwan Oh; Sunyoung Park; Hien Mai; Ki-Joon Jeon. 2020. "Enhanced Electrocatalytic Activity of Stainless Steel Substrate by Nickel Sulfides for Efficient Hydrogen Evolution." Catalysts 10, no. 11: 1274.

Journal article
Published: 10 July 2020 in International Journal of Environmental Research and Public Health
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Here, we develop a dry eye syndrome (DES) incidence rate prediction model using air pollutants (PM10, NO2, SO2, O3, and CO), meteorological factors (temperature, humidity, and wind speed), population rate, and clinical data for South Korea. The prediction model is well fitted to the incidence rate (R2 = 0.9443 and 0.9388, p < 2.2 × 10−16). To analyze regional deviations, we classify outpatient data, air pollutant, and meteorological factors in 16 administrative districts (seven metropolitan areas and nine states). Our results confirm NO2 and relative humidity are the factors impacting regional deviations in the prediction model.

ACS Style

Jong-Sang Youn; Jeong-Won Seo; Wonjun Park; Sejoon Park; Ki-Joon Jeon. Prediction Model for Dry Eye Syndrome Incidence Rate Using Air Pollutants and Meteorological Factors in South Korea: Analysis of Sub-Region Deviations. International Journal of Environmental Research and Public Health 2020, 17, 4969 .

AMA Style

Jong-Sang Youn, Jeong-Won Seo, Wonjun Park, Sejoon Park, Ki-Joon Jeon. Prediction Model for Dry Eye Syndrome Incidence Rate Using Air Pollutants and Meteorological Factors in South Korea: Analysis of Sub-Region Deviations. International Journal of Environmental Research and Public Health. 2020; 17 (14):4969.

Chicago/Turabian Style

Jong-Sang Youn; Jeong-Won Seo; Wonjun Park; Sejoon Park; Ki-Joon Jeon. 2020. "Prediction Model for Dry Eye Syndrome Incidence Rate Using Air Pollutants and Meteorological Factors in South Korea: Analysis of Sub-Region Deviations." International Journal of Environmental Research and Public Health 17, no. 14: 4969.

Journal article
Published: 08 August 2019 in Sustainability
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The main purpose of this study was to analyze the Korean PM2.5 emissions according to the past, present, and future energy mix scenarios from 1970 to 2035, with the aim of identifying a sustainable, future environmentally friendly energy mix scenario for Korea related to PM2.5 emissions. To calculate the PM2.5 emissions according to an energy mix plan, we assumed two scenarios: (1) Scenario 1 is based on an energy conversion scenario established by the Korean government’s 7th electric power demand supply program; and (2) Scenario 2 is enhancement of fuel cell usage. In Scenario 1, filterable PM2.5 (FPM2.5) emission was calculated as 61,158 ton/year, which includes contributions of anthracite (46.8%), petroleum (39.7%), natural gas (LNG) (10.0%), and LPG (0.1%). In Scenario 2, FPM2.5 emission was calculated as 36,917 ton/year, which includes contributions of petroleum (47.8%), anthracite (40.3%), bituminous coal (10.1%), and LNG (1.7%). Thus, we concluded that the FPM2.5 mitigation effect from fuel cell policy enforcement is about 38.13% higher than the Korean national energy conversion policy. PM2.5 (FPM2.5 + condensable PM2.5 (CPM2.5)) emissions dramatically increased in both energy mix scenarios so that CPM2.5 should be considered when estimating PM2.5 emissions and PM2.5 reduction.

ACS Style

Doo Sung Choi; Jong-Sang Youn; Im Hack Lee; Young-Kwon Park; Byung Jin Choi; Ki-Joon Jeon. Analysis of National PM2.5 (FPM and CPM) Emissions by Past, Current, and Future Energy Mix Scenarios in the Republic of Korea. Sustainability 2019, 11, 4289 .

AMA Style

Doo Sung Choi, Jong-Sang Youn, Im Hack Lee, Young-Kwon Park, Byung Jin Choi, Ki-Joon Jeon. Analysis of National PM2.5 (FPM and CPM) Emissions by Past, Current, and Future Energy Mix Scenarios in the Republic of Korea. Sustainability. 2019; 11 (16):4289.

Chicago/Turabian Style

Doo Sung Choi; Jong-Sang Youn; Im Hack Lee; Young-Kwon Park; Byung Jin Choi; Ki-Joon Jeon. 2019. "Analysis of National PM2.5 (FPM and CPM) Emissions by Past, Current, and Future Energy Mix Scenarios in the Republic of Korea." Sustainability 11, no. 16: 4289.