• Title/Summary/Keyword: 폴리염화바이페닐

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Disposal of Polychlorinated Biphenyls(PCBs) by a Combined Chemical with Thermal Treatment (화학 및 열적 처리를 이용한 폴리염화바이페닐(PCB)의 제거)

  • Ryoo, Keon Sang
    • Journal of the Korean Chemical Society
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    • v.43 no.3
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    • pp.286-293
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    • 1999
  • A comnprehensive process which combines chemical with thermal treatment by controlled counterflow oxidation has been developed for disposal of PCBs in transformer oil. PCBs which not completely removed by chemical treatment, after being filtered with appropriate adsorbent during the oil circulations, was thermally treated. Destruction efficiencies of better than 99.99% was obtained, with no measurable formation of PCDDs (polychlorinated dibenzo-p-dioxins) or PCDFs (polychlorinated dibenzofurans). The combination also permits high recovery of oil and inorganic supports from scrap power transformers. The process is environmentally benign, easy to use and less capital intensive than other available technologies.

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Treatment of Highly Concentrated PCB Containing Insulating Oil by Countercurrent Oxidation Process (역류산화공정을 이용한 고농도 PCBs 함유 절연유의 처리)

  • Lee, Chang Soon;Kim, Daeik;Ryoo, Keon Sang
    • Journal of the Korean Chemical Society
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    • v.61 no.4
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    • pp.143-150
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    • 2017
  • Countercurrent oxidation process (COP) was developed and evaluated for treatment of highly concentrated PCB containing insulating oil. The PCB content in insulating oil taken from Haksanmetal company was found to be 1,512 ppm. The COP utilizes a self-sustained flame which propagates itself in a direction counter to the oxygen flow. The flame removes PCBs adsorbed in activated carbon and, at the same time, regenerates activated carbon. The flame temperature was determined from both mass loss of activated carbon and the relative ratio of CO and $CO_2$ exhausted during COP, and showed that its temperature lied in the range of $650-850^{\circ}C$. Removal efficiency of PCBs was achieved above 99.99% for 5% of insulating oil loaded activated carbon with 1 COP in weight ratio. Also, the same removal efficiency was acquired for 60% of insulating oil loaded activated carbon with three consecutive COP. In addition, specific surface area of activated carbon during COP was recovered to almost similar value of virgin activated carbon. It proved that the COP was much effective in removing high concentration of PCBs in insulating oil easily and affordably.

Decontamination of PCBs by Hybrid Adsorption/Regeneration on Granular Activated Carbon (입자상 활성탄의 흡착과 재생에 의한 PCBs 오염제거)

  • Hong, Yong Pyo;Choe, Jong Ha
    • Journal of the Korean Chemical Society
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    • v.46 no.2
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    • pp.117-124
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    • 2002
  • Counterflow oxidation was developed and evaluated for treatment of organics that adsorbed in/on granular activated carbon(GAC). This reaction is a method that destructs and removes organics adsorbed, at the same time, regenerates waste carbon, uti lizing a self-sustained flame which propagates itself ina direction counter to the oxygen flow. The results showed that the mass loss of carbon and flam temperature were strongly dependent on the flow rate of oxyen, adsorptive capability of regenerated carbon completely was recovered, as well as destrution and removal efficiency of thermally stable PCBs was achieved with the value of better than 99.99%.

Estimation on the application of Reference Materials for PCBs Proficiency Testing from the transformer oil (폐절연유를 이용한 숙련도 평가용 PCBs 표준물질의 적용성 평가)

  • Kim, Woo-Il;Kwon, Myung-Hee;Jeon, Tae-Wan;Kim, Dong-Hoon;Chun, Jin-Won;Sim, Ki-Tae;Yeon, Jin-Mo
    • Analytical Science and Technology
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    • v.23 no.3
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    • pp.247-254
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    • 2010
  • This study was carried out to produce Reference Materials (RMs) for Proficiency Testing (PT) of PCBs in waste analytical laboratories. Two RMs were prepared from used transformer oil samples and PCB free transformer oil by spiking PCBs standard solutions. The spiked PCB RMs were homogenized by mixing and settling up to 90 days. Homogenized concentration of PCBs with Arochlor 1254 (6 ppm), 1254:1260 (1:1) (5 ppm) were observed in 60 days stationary phase but Arochlor 1260 (3.5 mg/L) were observed in 90 days stationary phase. One-way ANOVA test were carried out and showed that the RMs were suitably homogenized, which can be used for proficiency testing. The Relative Standard Deviations (RSDs) of analytical results were 3.51~5.01% for the PCBs RMs in 10 replicates. The expanded uncertainty of PCBs analytical procedure were 0.26~0.49.

Development of QSAR Model Based on the Key Molecular Descriptors Selection and Computational Toxicology for Prediction of Toxicity of PCBs (PCBs 독성 예측을 위한 주요 분자표현자 선택 기법 및 계산독성학 기반 QSAR 모델 개발)

  • Kim, Dongwoo;Lee, Seungchel;Kim, Minjeong;Lee, Eunji;Yoo, ChangKyoo
    • Korean Chemical Engineering Research
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    • v.54 no.5
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    • pp.621-629
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    • 2016
  • Recently, the researches on quantitative structure activity relationship (QSAR) for describing toxicities or activities of chemicals based on chemical structural characteristics have been widely carried out in order to estimate the toxicity of chemicals in multiuse facilities. Because the toxicity of chemicals are explained by various kinds of molecular descriptors, an important step for QSAR model development is how to select significant molecular descriptors. This research proposes a statistical selection of significant molecular descriptors and a new QSAR model based on partial least square (PLS). The proposed QSAR model is applied to estimate the logarithm of partition coefficients (log P) of 130 polychlorinated biphenyls (PCBs) and lethal concentration ($LC_{50}$) of 14 PCBs, where the prediction accuracies of the proposed QSAR model are compared to a conventional QSAR model provided by OECD QSAR toolbox. For the selection of significant molecular descriptors that have high correlation with molecular descriptors and activity information of the chemicals of interest, correlation coefficient (r) and variable importance of projection (VIP) are applied and then PLS model of the selected molecular descriptors and activity information is used to predict toxicities and activity information of chemicals. In the prediction results of coefficient of regression ($R^2$) and prediction residual error sum of square (PRESS), the proposed QSAR model showed improved prediction performances of log P and $LC_{50}$ by 26% and 91% than the conventional QSAR model, respectively. The proposed QSAR method based on computational toxicology can improve the prediction performance of the toxicities and the activity information of chemicals, which can contribute to the health and environmental risk assessment of toxic chemicals.