• Toxicological Research
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• v.24 no.3
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• pp.219-225
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• 2008

A screening study of the acute toxicity of organic arsenics such as arsenobetaine and arsenocholine, a product of arsenic methylation metabolite, and inorganic arsenic was carried out to examine hematological and serum biochemical parameters in cynomolgus monkeys(Macaca fascicularis). We found soft and liquid feces, and vomiting in all treated groups with inorganic and organic arsenics. The monkeys in inorganic arsenic-treated group showed a significant increase in vomiting frequency compared with those in three organic arsenics-treated groups. These results suggest that inorganic arsenic might be more toxic than three other organic arsenics tested. The monkeys in inorganic arsenic-treated group showed a decrease in platelet and an increase in monocyte on day 4 and the monkeys in arsenocholine-treated group showed an increase in reticulocyte percentage on day 8. The monkeys in inorganic-treated group also showed decreases in AST and ALT values and the monkeys in arsenobetaine-treated group showed a decrease in AST value and an increase in T-CHO value. However, these hematological and biochemical changes were within the physiological ranges, showing that the single dose of inorganic and organic arsenics did not affect at least hematological and serum biochemical parameters. The present study of toxicity with single dose of arsenics provides valuable indicators for longer term study of toxicity of repeated doses of arsenics in primates.

• Journal of the Korean Institute of Telematics and Electronics A
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• v.28A no.12
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• pp.24-30
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• 1991

As a study to use Ti-silicides as interconnection material, the formation of Ti-silicides and the behavior of dopants were investigated for specimens where dopants are introduced on both single-Si substrate and poly-Si that was deposited on the single-Si. Result showed that stable C54 TiSiS12T formed above $700^{\circ}C$ and the formed TiSiS12T had bad surface roughness. And arsenics were chiefly redistributed in TiSiS12T while boron was accumulated near the interface between TiSiS11T and Si during RTA treatment.

• Bulletin of the Korean Chemical Society
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• v.16 no.2
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• pp.149-153
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• 1995

We have grown GaAs epilayers by chemical beam epitaxy(CBE) using unprecracked hydrides and metal organic compounds via a surface decomposition process. This result shows that unprecracked arsine (AsH3) or monoethylarsine (MEAs) can be used in chemical beam epitaxy(CBE) as a replacement of a precracked AsH3 source in CBE. It was also found that the uptake of carbon impurity in epilayers grown using trimethylgallium(TMG) with unprecracked AsH3 or MEAs was significantly reduced compared to that in epilayers grown by CBE process employing TMG and arsenics produced from precracked hydrides. We propose a surface structural model suggesting that the hydrogen atoms play an important role in the reduction of carbon content in GaAs epilayer. Intermediates like dihydrides from hydride sources were also considered to hinder carbon atoms from being incorporated into the epilayers or to remove other carbon containing species on the surface.

• Environmental Analysis Health and Toxicology
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• v.25 no.1
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• pp.41-55
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• 2010

The aims of this study were to develop the suitable "system software" in chemical ranking and scoring (CRS) for the food hazardous chemicals associated with environmental emission and to suggest the priority lists of food contamination by environmental-origined pollutants. Study materials were selected with reference to the priority pollutants list for environment and food management from domestic and foreign research and the number of study materials is 103 pollutants (18 heavy metals, 10 PBTs, 10 EDs, and 65 organic compounds). The Food-CRS-Korea system consisted of the environmental fate model via multimedia, transfer environment to food model, and health risk assessment by contaminated food intake. We have established that health risks of excess cancer risks, hazard quotients (HQs) by chronic toxicity and HQs by reproductive toxicity convert to score, respectively. The creditable scoring system was designed to consider uncertainty of quantitative risk assessment based on VOI (Value-Of-Information). The predictability of the Food-CRS-Korea model was evaluated by comparing the presumable values and the measured ones of the environmental media and foodstuffs. The priority lists based on emissions with background-level-correction are 15 pollutants such as arsenic, cadmium, and etc. The priority lists based on environmental monitoring date are 17 pollutants including DEHP, TCDD, and so on. Consequently, we suggested the priority lists of 13 pollutants by considering the several emission and exposure scenarios. According to the Food-CRS-Korea system, arsenics, cadmium, chromes, DEHP, leads, and nickels have high health risk rates and reliable grades.

• Journal of Korean Society of Environmental Engineers
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• v.32 no.8
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• pp.795-801
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• 2010

The acute toxicity of arsenic compounds was assessed and compared using following four bioassays; bioluminescence activity of the recombinant strain RB1436, germination of four different seeds, ${\alpha}$-glucosidase activity produced by Bacillus lichemiformis, acute genetic revertant mutation using mutant strain Salmonella typhimurium. Different sensitivities were observed among tested bioassays, but generally the toxicity by arsenite was greater than that of arsenate. Among tested four seeds, sensitivities of Lactucus and Raphanus were greater than others, and these two seed types were appeared as proper type for bioassay. High revertant mutation ratio (5.1) was observed with 1 mg/L arsenite, indicating high mutagenicity. The sensitivity of ${\alpha}$-glucosidase activity on arsenic compounds was much lower than other methods. The evaluation of interactive toxic effects using various bioassays may comprise a useful tool for the bioassessment of environmental pollutants.

• Journal of Life Science
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• v.20 no.4
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• pp.618-622
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• 2010

This study examines the relationship between urinary arsenic concentration and urinary 8-hydroxydeoxyguanosine (8-OHdG) concentrations, an index of oxidative DNA damage, among women who live near abandoned metal mines. The sample consisted of 165 residents living near two abandoned metal mines located in Chungbuk Province. Demographic characteristics as well as environmental factors relevant to arsenic exposure were collected through interviews, and urinary arsenic concentrations and urinary 8-OHdG concentrations of the research subjects were measured. The collected data were subsequently analyzed using the statistics program SPSS 12.0. The geometric average of urinary arsenic concentrations among the research subjects was $5.65\;{\mu}g/g$ creatinine. In a correlation analysis between urinary arsenic and 8-OHdG concentrations, the correlation coefficient was significant (p<0.001) at 0.399. This study suggests that urinary 8-OHdG concentrations may be a DNA damage marker for chronic arsenic exposure in women.

• Journal of Korea Soil Environment Society
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• v.1 no.1
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• pp.55-65
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• 1996

Soil quality of most of Soil Network area was estimated healthy by employing Soil Pollution Indices (Soil Pollution Score and Soil Pollution Class). However, 1.5∼3.7% of the total Soil Network area was determined Soil Pollution Class (SPC) 4 which may need cleanup process due to slight or heavy pollution with arsenics and heavy metals. Numbers of the SPC 4 sites were 9, 47, 19, 17, and 17 in 1987, 1989, 1991, 1993, and 1994, respectively During 1987 and 1994, all of SPC 4 sites were identified agricultural land except one in 1994. Soil Pollution Scores (SPSs) was determined high around smelters, metalliferous mines, and industrial sites among the 16 major soil pollution sources of the Soil Network. Also, most area of SPC 4 sites were densely populated in these area of the Soil Network. SPSs of Inchon and Taegu were high among the other major cities and provinces in Korea. Numbers of SPC 4 were high in the province of Kangwon, Kyongbuk, Kyongnam amongst. Cumulative numbers of SPC 4 multiplied by a weighting value 0.3 during 1987 and 1994 of the Soil Network were regressed to develop a model equation for prospecting the soil quality. The model equation was Y= 1.16+0.23x, where as Y is the number of Class 4 and x is the year. Resulting the area of SPC 4 were 4.8%, 6.0%, 6.6% of the Soil Network in the year of 2001, 2006, 2011, respectively Based on this results, the area of SPC 4 would increase 5, 7, and 10 times comparing the area polluted with heavy metals in 1987.