• Title/Summary/Keyword: Hazardous impurity

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Study on scheme for screening, quantification and interpretation of trace amounts of hazardous inorganic substances influencing hazard classification of a substance in REACH registration (REACH 물질 등록 시 분류에 영향을 주는 미량 유해 무기물질의 스크리닝·정량·해석을 위한 체계도 연구)

  • Kwon, Hyun-ah;Park, Kwang Seo;Son, Seung Hwan;Choe, Eun Kyung;Kim, Sanghun
    • Analytical Science and Technology
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    • v.32 no.6
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    • pp.233-242
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    • 2019
  • Substance identification is the first step of the REACH registration. It is essential in terms of Classification, Labelling and Packaging (CLP) regulation and because even trace amounts of impurities or additives can affect the classification. In this study, a scheme for the screening, quantification, and interpretation of trace amounts of hazardous inorganic substances is proposed to detect the presence of more than 0.1% hazardous inorganic substances that have been affecting the hazard classification. An exemplary list of hazardous inorganic substances was created from the substances of very high concern (SVHCs) in REACH. Among 201 SVHCs, there were 67 inorganic SVHCs containing at least one or ~2-3 heavy metals, such as As, Cd, Co, Cr, Pb, Sb, and Sn, in their molecular formula. The inorganic SVHCs are listed in excel format with a search function for these heavy metals so that the hazardous inorganic substances, including each heavy metal and the calculated ratio of its atomic weight to molecular weight of the hazardous inorganic substance containing it, can be searched. The case study was conducted to confirm the validity of the established scheme with zinc oxide (ZnO). In a substance that is made of ZnO, Pb was screened by XRF analysis and measured to be 0.04% (w/w) by ICP-OES analysis. After referring to the list, the presence of Pb was interpreted just as an impurity, but not as an impurity relevant for the classification. Future studies are needed to expand on this exemplary list of hazardous inorganic substances using proper regulatory data sources.

Metal Impurity Recognize System using Industrial Robot (산업용 로봇을 이용한 철강 부유물 인식 시스템)

  • Cho, Seung-Il;Kim, Jong-Chan;Ban, Kyeong-Jin;Kim, Eung-Kon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.355-357
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    • 2011
  • Several researches and patents has been published on gathering impurity from both upper and lower places of melting zinc bath and collecting them using melting resolution, but they have never discovered work model applied in the field. This paper proposes an effective extraction algorithm for hazardous work robot that is designed to detect impurity in steel manufacturing process.

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Monitoring of hexachlorobenzene (HCB) contents as an impurity in different sources of chlorothalonil technical (국내 농약제조용 chlorothalonil 원제 중 hexachlorobenzene 함량 조사)

  • Kim, Jeong-Gu;Shin, Wook-Cheol;Lee, Hong-Goun;Park, Seung-Soon;Oh, Kyeong-Seok;Joo, Jin-Bok;Oh, Byung-Youl
    • The Korean Journal of Pesticide Science
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    • v.4 no.4
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    • pp.31-34
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    • 2000
  • The contents of hexachlorobenzene (HCB), a hazardous impurity, in chlorothalonil were monitored through 1996 to 2000. The number of samples were 32 from three different sources. The contents determined by GLC/ECD were ranged from 0.0036% to 0.0330% with average content of 0.0219%. All the samples were recorded below 0.05%, which is the regulation standard of HCB in the technical. The total input of HCB in Korean agriculture was calculated to be approximately 77 kg a year.

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Identification of the impurities in the technical product of Atonic (Atonic 원제의 부성분 구조 확인)

  • Kyung, Kee-Sung;Chung, Chang-Kook;Lee, Jae-Koo
    • The Korean Journal of Pesticide Science
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    • v.8 no.2
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    • pp.129-136
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    • 2004
  • In order to determine the amounts of impurities and to identify the chemical structures of the impurities in the technical product of the plant growth regulator Atonic, the extracts of diethyl ether and dichloromethane were analyzed with GC-FID and GC-MSD. resulting in detection of five impurities and identification of their chemical structures. The amount of the active ingredient atonic in the technical product was about 84% and those of the impurities ranged from 0.24 to 10.74%. The identified impurities in this technical product are 2-methoxyphenol (guaiacol, m/z 124), 2-chloro-6-methoxyphenol and/or 4-chloro-6-methoxyphenol (m/z 158), 1,2-dimethoxy-4-nitrobenzene (m/z 183), and 2,6-bis(1,1-dimethylethyl)-4-methylphenol (m/z 220), suggesting that they are not hazardous impurities.