• Title/Summary/Keyword: Ion chromatography (IC)

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Development of an Automated and Continuous Analysis System for PM2.5 and Chemical Characterization of the PM2.5 in the Atmosphere at Seoul (자동연속측정시스템 개발 및 이 시스템을 이용한 서울 대기 중 PM2.5의 화학적 조성과 특성에 관한 연구)

  • Lee Bo Kyoung;Kim Young Hoon;Ha Jae Yoon;Lee Dong Soo
    • Journal of Korean Society for Atmospheric Environment
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    • v.21 no.4
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    • pp.439-458
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    • 2005
  • An automated analysis system for water soluble constituents in $PM_{2.5}$ has been developed. The system consists of a high capacity multi tube diffusion scrubber (MTDS), a low temperature particle impactor (LTPI), and two ion (anion and cation) chromatography (IC) systems. Atmospheric particles have been collected by passing sample air through a thermostated MTDS followed by a LTPI. This system allows simultaneous measurements of soluble ions in $PM_{2.5}$ at 30 minutes interval. At the air sampling flow rate of 1.0L/min, the detection limits of the overall system are in the order of tens of $ng/m^3$. This system has been successfully used for the measurement of particulate components of Seoul air from April 2003 to January 2004. $SO_4^{2-},\;NO_3^-,\;NH_4^+,\;NO_2^-,\;Cl^-,\;Na^+,\;K^+,\;Ca^{2+},\;and\;Mg^{2+}$ are the major ionic species for $PM_{2.5}$ at Seoul. Among them, $SO_4^{2-},\;NO_3^-\;and\;NH_4^+$ are the most abundant ions, contributed up to $86\%$ of the total and the concentrations were higher than those in any other urban sites in the world except for Chinese cities. There are high pollutant episodes which contribute about $15\~20\%$ of annual average values of the major ions. During the episode, the all parcels were transported from the asian continent and $PM_{2.5}$ were significantly neutralized. This suggests that aged and long range transported pollutants caused the high pollutant episodes. They showed a distinct daily and seasonal variations:they showed a peak in the early morning caused by the night-time accumulation of particulate matters. Atmospheric reactions including gas-to-particle reactions and inter-particle reactions and meteorological parameters including relative humidity and ambient temperature were described with related to the $PM_{2.5}$ 5 concentrations. All of the ionic species showed higher concentrations during the spring than those for summer and winter.

A Study on Chemical Composition of Fine Particles in the Sungdong Area, Seoul, Korea (서울 성동구 지역 미세먼지의 화학적 조성에 관한 연구)

  • 조용성;이홍석;김윤신;이종태;박진수
    • Journal of Environmental Science International
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    • v.12 no.6
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    • pp.665-676
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    • 2003
  • To investigate the chemical characteristics of PM$\_$2.5/ in Seoul, Korea, atmospheric particulate matters were collected using a PM$\_$10/ dichotomous sampler including PM$\_$10/ and PM$\_$2.5/ inlet during the period of October 2000 to September 2001. The Inductively Coupled Plasma-Mass Spectromety (ICP-MS), ion Chromatography (IC) methods were used to determine the concentration of both metal and ionic species. A statistical analysis was performed for the heavy metals data set using a principal component analysis (PCA) to derived important factors inherent in the interactions among the variables. The mean concentrations of ambient PM$\_$2.5/ and PM/sub10/ were 24.47 and 45.27 $\mu\textrm{g}$/㎥, respectively. PM$\_$2.5/ masses also showed temporal variations both yearly and seasonally. The ratios of PM$\_$2.5/PM$\_$10/ was 0.54, which similar to the value of 0.60 in North America. Soil-related chemical components (such as Al, Ca, Fe, Si, and Mn) were abundant in PM$\_$10/, while anthropogenic components (such as As, Cd, Cr, V, Zn and Pb) were abundant in PM2s. Total water soluble ions constituted 30∼50 % of PM$\_$2.5/ mass, and sulfate, nitrate and ammonium were main components in water soluble ions. Reactive farms of NH$_4$$\^$+/were considered as NH$_4$NO$_3$ and (NH$_4$)$_2$SO$_4$ during the sampling periods. In the results of PCA for PM$\_$2.5/, we identified three principal components. Major contribution to PM$\_$2.5/ seemed to be soil, oil combustion, unidentified source. Further study, the detailed interpretation of these data will need efforts in order to identify emission sources.

The analysis of ethylene glycol and metabolites in biological specimens (생체시료에서 에틸렌 글리콜과 그 대사체 분석에 관한 연구)

  • Park, Seh-Youn;Kim, Yu-Na;Kim, Nam-Yee
    • Analytical Science and Technology
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    • v.24 no.2
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    • pp.69-77
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    • 2011
  • Ethylene glycol (EG) is produced commercially in large amounts and is widely used as antifreeze or deicing solution for cars, boats, and aircraft. EG poisoning occurs in suicide attempts and infrequently, either intentionally through misuse or accidental as EG has a sweet taste. EG has in itself a low toxicity, but is in vivo broken down to higher toxic organic acids which are responsible for extensive cellular damage in various tissues caused principally by the metabolites glycolic acid and oxalic acid. The most conclusive analytical method of diagnosing EG poisoning is determination of EG concentration. However, victims are sometimes admitted at a late stage to hospitals or died during emergency treatment like a gastric lavage or found rotten dead, when blood EG concentrations are low or not detected. Therefore, in this study, the identification of EG was not only performed by gas chromatograpyc-mass spectrometry (GC-MS) following derivatization but also further toxicological analyses of metabolites, glycolic acid (GA) and oxalic acid (OA), were performed by ion chromatography in various biological specimens. A ranges of blood concentrations (3 cases) was $10\sim2,400\;{\mu}g/mL$ for EG, $224\sim1,164\;{\mu}g/mL$ for GA and ND $\sim40\;{\mu}g/mL$ for OA, respectively, In other biological specimens (liver, kidney, bile and pleural fluid), a range of concentrations (3 cases) was ND $\sim55,000\;{\mu}g/mL$ for EG, ND $\sim1,124\;{\mu}g/mL$ for GA and ND $\sim60\;{\mu}g/mL$ for OA, respectively. Liver and kidney tissues were recommended specimens including blood because OA, a final metabolite of EG, was identified large amounts in these despite no detectable EG caused by some therapy.

Characterization of Concentrations of Fine Particulate Matter in the Atmosphere of Pohang Area (포항지역 대기 중 초미세먼지(PM$_{2.5}$)의 오염특성평가)

  • Baek, Sung-Ok;Heo, Yoon-Kyeung;Park, Young-Hwa
    • Journal of Korean Society of Environmental Engineers
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    • v.30 no.3
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    • pp.302-313
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    • 2008
  • The purposes of this study are to investigate the concentration levels of fine particles, so called PM$_{2.5}$, to identify the affecting sources, and to estimate quantitatively the source contributions of PM$_{2.5}$. Ambient air sampling was seasonally carried out at two sites in Pohang(a residential and an industrial area) during the period of March to December 2003. PM$_{2.5}$ samples were collected by high volume air samplers with a PM$_{10}$ Inlet and an impactor for particle size segregation, and then determined by gravimetric method. The chemical species associated with PM$_{2.5}$ were analyzed by inductively coupled plasma spectrophotometery(ICP) and ion chromatography(IC). The results showed that the most significant season for PM$_{2.5}$ mass concentrations appeared to be spring, followed by winter, fall, and summer. The annual mean concentrations of PM$_{2.5}$ were 36.6 $\mu$g/m$^3$ in the industrial and 30.6 $\mu$g/m$^3$ in the residential area, respectively. The major components associated with PM$_{2.5}$ were the secondary aerosols such as nitrates and sulfates, which were respectively 4.2 and 8.6 $\mu$g/m$^3$ in the industrial area and 3.7 and 6.9 $\mu$g/m$^3$ in the residential area. The concentrations of chemical component in relation to natural emission sources such as Al, Ca, Mg, K were generally higher at both sampling sites than other sources. However, the concentrations of Fe, Mn, Cr in the industrial area were higher than those in the residential area. Based on the principal component analysis and stepwise multiple linear regression analysis for both areas, it was found that soil/road dust and secondary aerosols are the most significant factors affecting the variations of PM$_{2.5}$ in the ambient air of Pohang. The source apportionments of PM$_{2.5}$ were conducted by chemical mass balance(CMB) modeling. The contributions of PM$_{2.5}$ emission sources were estimated using the CMB8.0 receptor model, resulting that soil/road dust was the major contributor to PM$_{2.5}$, followed by secondary aerosols, vehicle emissions, marine aerosols, metallurgy industry. Finally, the application and its limitations of chemical mass balance modeling for PM$_{2.5}$ was discussed.

The Washing Effect of Precipitation on PM10 in the Atmosphere and Rainwater Quality Based on Rainfall Intensity (강우 강도에 따른 대기 중 미세먼지 저감효과와 강우수질 특성 연구)

  • Park, Hyemin;Byun, Myounghwa;Kim, Taeyong;Kim, Jae-Jin;Ryu, Jong-Sik;Yang, Minjune;Choi, Wonsik
    • Korean Journal of Remote Sensing
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    • v.36 no.6_3
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    • pp.1669-1679
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    • 2020
  • This study examines the washing effect of precipitation on particulate matter (PM) and the rainwater quality (pH, electrical conductivity (EC), water-soluble ions concentration). Of six rain events in total, rainwater samples were continuously collected every 50 mL from the beginning of the precipitation using rainwater collecting devices at Pukyong National University, Busan, South Korea, from March 2020 to July 2020. The collected rainwater samples were analyzed for pH, EC, and water-soluble ions (cations: Na+, Mg2+, K+, Ca2+, NH4+, and anions: Cl-, NO3-, SO42-). The concentrations of particulate matter were continuously measured during precipitation events with a custom-built PM sensor node. For initial rainwater samples, the average pH and EC were approximately 4.3 and 81.9 μS/cm, and the major ionic components consisted of NO3- (5.4 mg/L), Ca2+ (4.2 mg/L), Cl- (4.1 mg/L). In all rainfall events, rainwater pH gradually increased with rainfall duration, whereas EC gradually decreased due to the washing effect. When the rainfall intensities were relatively weak (<5 mm/h), PM10 reduction efficiencies were less than 40%. When the rainfall intensities were enhanced to more than 7.5 mm/h, the reduction efficiencies reached more than 60%. For heavy rainfall events, the acidity and EC, as well as ions concentrations of initial rainwater samples, were higher than those in later samples. This appears to be related to the washing effect of precipitation on PM10 in the atmosphere.