• Bulletin of the Korean Chemical Society
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• 제30권3호
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• pp.595-598
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• 2009

The authors describe an analytical method to determine total chlorine in a sanitizer liquid, incorporating a lab-made He-rf-plasma within a PDMS polymer microchip. Helium was used instead of Ar to produce a plasma to achieve efficient Cl excitation. A quartz tube 1 mm i.d. was embedded in the central channel of the polymer microchip to protect it from damage. Rotational temperature of the He-microchip plasma was in the range 1350-3600 K, as estimated from the spectrum of the OH radical. Chlorine was generated in a volatilization reaction vessel containing potassium permanganate in combination of sulfuric acid and then introduced into the polymer microchip plasma (PMP). Atomic emission lines of Cl at 438.2 nm and 837.7 nm were used for analysis; no emission was observed for Ar plasma. The achieved limit of detection was 0.81 ${\mu}g\;mL^{-1}$ (rf powers of 30-70 W), which was sensitive enough to analyze sanitizers that typically contained 100-200 ${\mu}g\;mL^{-1}$ of free chlorine in chlorinated water. This study demonstrates the usefulness of the devised PMP system in the food sciences and related industries.

• 한국생산제조학회지
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• 제21권5호
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• pp.720-725
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• 2012

Sodium hypochlorite is used worldwide as a water disinfectant and in bleaching agent. Sodium hypochlorite applied to water initially undergoes hydrolysis to form free chlorine consisting of hypochlorous acid(HOCl) and hypochlorite ion($OCl^-$). For free chlorine determination, an electrochemical method is simple due to the electroactivity of free chlorine; it measures current and is free of most reagents. Amperometric free chlorine sensor has been developed with gold (Au)-based electrode. The 3-electrode free chlorine sensor whose working and counter electrodes were Pt exhibited excellent response to HClO at +400mV vs. Ag/AgCl/sat. KCl. In addition, the use of a pH error correction algorithm provided a reliable measurement of residual free chlorine in water sample without any pretreatment in the normal pH range(pH 6~8) of municipal water supply. The free chlorine sensor installed in on-line monitoring system could be used to continually monitor the level of residual free chlorine in real samples.

• 대한화학회지
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• 제43권4호
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• pp.430-437
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• 1999

흐름주입 분석법(FIA)에 의한 간접 요오드화 UV 검출법으로 총 잔류염소를 신속하게 정량하는 방법을 연구하였다. FIA장치를 최적화하기 위해 용리액의 pH, 요오드화 이온의 농도, 혼합 및 반응코일의 길이,시료주입량 및 유속, 온도 및 검출파장에 대한 변화를 관찰하였다. pH 8.3에서 하이포아염소산 이온은 요오드화 이온을 선택적으로 산화시키고 자신은 염화이온으로 환원되었다. 방해이온을 제거하기 위한 가리움제로서 에틸렌다이아민이 가장 좋은 효율을 나타내었다. 하이포아염소산 이온의 검정곡선은 0.03-0.3 mg/L의 농도 범위에서 0.999이상의 직선성을 나타내었고, 검출한계는 0.007 mg/L이었다. 이러한 분석조건하에서 몇몇 전주근교 상수중 총 잔류염소의 농도를 정량하였다.

• 상하수도학회지
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• 제33권1호
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• pp.17-29
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• 2019

This study developed prediction models of chlorine bulk decay coefficient by each condition of water quality, measuring chlorine bulk decay coefficients of the water and water quality by water purification processes. The second-reaction order of chlorine were selected as the optimal reaction order of research area because the decay of chlorine was best represented. Chlorine bulk decay coefficients of the water in conventional processes, advanced processes before rechlorination was respectively $5.9072(mg/L)^{-1}d^{-1}$ and $3.3974(mg/L)^{-1}d^{-1}$, and $1.2522(mg/L)^{-1}d^{-1}$ and $1.1998(mg/L)^{-1}d^{-1}$ after rechlorination. As a result, the reduction of organic material concentration during the retention time has greatly changed the chlorine bulk decay coefficient. All the coefficients of determination were higher than 0.8 in the developed models of the chlorine bulk decay coefficient, considering the drawn chlorine bulk decay coefficient and several parameters of water quality and statistically significant. Thus, it was judged that models that could express the actual values, properly were developed. In the meantime, the chlorine bulk decay coefficient was in proportion to the initial residual chlorine concentration and the concentration of rechlorination; however, it may greatly vary depending on rechlorination. Thus, it is judged that it is necessary to set a plan for the management of residual chlorine concentration after experimentally assessing this change, utilizing the methodology proposed in this study in the actual fields. The prediction models in this study would simulate the reduction of residual chlorine concentration according to the conditions of the operation of water purification plants and the introduction of rechlorination facilities, more reasonably considering water purification process and the time of chlorination. In addition, utilizing the prediction models, the reduction of residual chlorine concentration in the supply areas can be predicted, and it is judged that this can be utilized in setting plans for the management of residual chlorine concentration.

• 상하수도학회지
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• 제21권5호
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• pp.601-607
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• 2007

In order to maintain constant residual chlorine in sedimentation basin, It is necessary to develop real time prediction model of residual chlorine considering water treatment plant data such as water qualities, weather, and plant operation conditions. Based on the operation data acquired from K water treatment plant, prediction models of residual chlorine in sediment basin were accomplished. The input parameters applied in the models were water temperature, turbidity, pH, conductivity, flow rate, alkalinity and pre-chlorination dosage. The multiple regression models were established with linear and non-linear model with 5,448 data set. The corelation coefficient (R) for the linear and non-linear model were 0.39 and 0.374, respectively. It shows low correlation coefficient, that is, these multiple regression models can not represent the residual chlorine with the input parameters which varies independently with time changes related to weather condition. Artificial neural network models are applied with three different conditions. Input parameters are consisted of water quality data observed in water treatment process based on the structure of auto-regressive model type, considering a time lag. The artificial neural network models have better ability to predict residual chlorine at sediment basin than conventional linear and nonlinear multi-regression models. The determination coefficients of each model in verification process were shown as 0.742, 0.754, and 0.869, respectively. Consequently, comparing the results of each model, neural network can simulate the residual chlorine in sedimentation basin better than mathematical regression models in terms of prediction performance. This results are expected to contribute into automation control of water treatment processes.

• 한국연초학회지
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• 제17권2호
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• pp.177-183
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• 1995

This study was conducted to develop the most precise NIR(near infrared spectrometric) calibration for rapid determination of chemical composition in ground samples of toasted burley tobacco using stepwise, stepup, principal component regression(PCR), partial least square(PLS) and modified partial least square(MPLS) calibration method. The number of wavelength(W) selected by stepup multiple linear regression using: second derivative spectra was as follows: total sugar(TS)-4 W, nicotine-9 W, total nitrogen(TN)-2 W, ash-8 W, total volatile base(TVB)-5 W, chlorine4 W, L of color-6 W, a of color-6 W and b of color-7 W. Comparing the calibration equations followed by each chemical components, the most precise calibration equation was MPLS for 75, a and b of color, PLS for nicotine, ash, TVB, chlorine and L of color and stepup for TN. The standard error of calibration(SEC) and standard error of performance(SEP) between result of near infrared analysis and standard laboratory analysis were 0.18, 0.40% for 75, 0.06, 0.08% for nicotine, 0.18, 0.16% for TN, 0.33, 0.46% for ash, 0.04, 0.03% for TVB, 0.08, 0.06% for chlorine, 0.54, 0.58 for L of color, 0.22, 0.22 for a of color and 0.27, 0.27 for b of color, respectively. The SEC and SEP of ash and TVB were within allowable error of standard laboratory analysis, nicotine, TN and chlorine were 1.2-2.0 times and 75 were 2.1-4.0 times larger than allowable error of standard laboratory analysis. The ratio of SEC and SEP to mean were 1.5, 1.6% for L of color, 3.7, 3.8% for a of color and 1.8, 1.8% for b of color, respectively. Key words : burley tobacco chemistry, near infrared spectroscopy.

• Bulletin of the Korean Chemical Society
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• 제31권6호
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• pp.1583-1588
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• 2010

A single step fabrication process of carbon nanotube/Prussian Blue (CNT/PB) paste electrodes based on screen printing technology has been studied as an amperometric sensor for the determination of hydrogen peroxide and free chlorine. Compared to the classical carbon paste (CP) electrode, the CNT paste electrode greatly enhanced the response in the presence of hydrogen peroxide due to the electrocatalytic activity of the CNT. Based on the CNT/binder paste, PB was also incorporated into a network of CNT paste and characterized. The best electroanalytical properties of PB-mixed sensors to hydrogen peroxide were obtained with PB ratio of 10 wt % composition, which showed fast response time ($t_{90}{\leq}5$ s; 0.2 - 0.3 mM), low detection limit of 1.0 ${\mu}M$, good linear response in the range from $5.0{\times}10^{-5}$ - $1.0{\times}10^{-3}$ mol $L^{-1}$ ($r^2$ = 0.9998), and high sensitivity of -8.21 ${\mu}AmM^{-1}$. In order to confirm the enhanced electrochemical properties of CNT/PB electrode, the sensor was further applied for the determination of chlorine in water, which exhibited a linear response behavior in the range of 50 - 2000 ppb for chlorine with a slope of 1.10 ${\mu}Appm^{-1}$ ($r^2$ = 9971).

• 대한환경공학회지
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• 제38권2호
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• pp.63-70
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• 2016

수돗물 공급과정에서의 소독부산물 발생현황과 이와 관련된 수질 인자와의 상관성을 조사하여 소독부산물 발생특성을 규명하고자 K-water에서 관리하는 정수장의 수돗물 공급과정 5개 계통에 대하여 조사를 실시하였다. 수돗물 공급과정에서의 공급계통별 Water age 및 노후관 공급계통을 구분하여 조사대상을 선정하였으며, 소독부산물인 트리할로메탄 (THMs) 및 할로아세틱에시드 (HAAs), 유기물 항목으로서 BDOC 및 DOC를 포함하여 7개 항목에 대해 월 1회 조사하였다. 조사결과 노후관계통 및 Water age가 길수록 공급과정 내 유기물 농도가 높아지는 경향성을 확인할 수 있었다. 소독부산물과 관련 영향인자들의 상관관계를 분석한 결과 계통별 잔류염소 감소와 Water age간 상관관계가 매우 높은 것으로 나타났다. 또한 Water age와 THMs 생성간의 결정계수값이 매우 높아 THMs 생성에 Water age가 중요한 인자임을 알 수 있었다. 잔류염소 감소율이 THMs 증가에 미치는 영향 또한 매우 높게 나타났으며, Water age가 길어질수록 수온과 THMs 생성에 미치는 영향은 증가하는 것으로 나타났다. 이와 반면 HAAs는 THMs와는 달리 Water age, 잔류염소, 수온과의 상관관계 조사결과 결정계수 값이 낮게 나타났다.

• 분석과학
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• 제23권1호
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• pp.45-53
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• 2010

우라늄 화합물 중에 함유된 염소를 정량하기 위하여 수증기증류 및 열가수분해를 이용한 량 염소의 분리 및 정량법을 개발하였다. 수증기 증류에 의한 시료 중의 염소를 분리하기 위하여 수증기 발생장치, 증류플라스크 및 냉각기 등으로 구성된 장치를 제작 설치하였다. LiCl 표준용액과 모의사용후핵 연료 일정량을 혼합하여 만든 우라늄 화합물 시료 중의 염소를 분리하기 위하여 혼산(0.2 M ferrous ammonium sulfate-0.5M sulfamic acid 3 mL + phosphoric acid 6 mL + sulfuric acid 15 mL)을 이용하여 $140^{\circ}C$로 증류시키고 $90{\pm}5\;mL$를 수집하였다. 열가수분해에 의한 시료 중의 염소를 분리하기 위하여 공기공급장치, 온수공급장치, 석영반응관, 연소로 및 연소보트, 그리고 휘발 염소 흡수장치로 구성된 열가수분해장치를 제작 설치하였다. 일정량의 우라늄 화합물 시료에 반응촉진제($U_3O_8$)를 가하고 1 mL/min의 공기유속과 $80^{\circ}C$의 공급수 온도를 유지하고 $950^{\circ}C$에서 1시간 반응시켜 시료 중의 염소를 분리하였다. 두 방법에 의하여 수집된 각 흡수용액은 일정부피로 희석하고 이온크로마토그래피로 정량하여 회수율을 측정하였다. 금속전환체 잔류 용융염 중의 미량 염소를 이온크로마토그래피로 정량하기 위하여 시료를 공기 및 건조 산화시키고 분쇄한 후 열가수분해하여 염소를 회수하였다.

• 해양환경안전학회지
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• 제2권1호
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• pp.89-95
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• 1996

This paper describes a fuzzy controlled pre-chlorination technique for purifying the pulluted raw water in water purification lants. For the purpose of obtaining the high quality water, the appropriate pre-chlorine dosage rate has to be continuously adjusted according to a change in quality of a intake raw water, weather, solar nergy mount, temperature and etc. Therefore, the method of expressing an expert's empirical knowledge cumulated from his past carrier by fuzzy reasoning and the fuzzy controller design technique is necessary.In this paper fuzzy membership functions and rules accordingto emprircal knowledge and experimental field data were obtained, And also fuzzy cintriller design using four feedforward components for the determination of pre-chlorine dosage rate and four feedback ones for the compensation of its dosage rate with residual chlorine and its change rate, was executed.