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이덕안 ( Duk-an Lee ),양정고 ( Jeong-go Yang ),박보영 ( Bo-young Park ),김환범 ( Hwan-beom Kim ),하훈 ( Hoon Ha ),양수인 ( Soo-in Yang ) 한국환경기술학회 2017 한국환경기술학회지 Vol.18 No.2
본 연구는 고체연료를 사용하는 화력발전시설 3기(유연탄, 유연탄과 SRF, 유연탄과 SRF)와 소각시설 2기(SRF, Bio-SRF)를 선정하여 먼지 등 10개 항목을 분석하였다. 그리고 방지시설 후단에서 대기오염물질을 실측하여 먼지, SO<sub>x</sub>, NO<sub>x</sub>의 uncontrolled 배출계수를 도출하였다. 배출 평균농도는 먼지 1.54 mg/S㎥ ~ 4.34 mg/S㎥, SO<sub>x</sub>는 불검출 ~ 12.21 ppm, NO<sub>x</sub>는 19.34 ppm ~ 68.89 ppm으로 배출되었고 모두 배출허용기준 이내이었다. 중금속 6종(Cd, Cu, Ni, Pb, Zn, Cr)을 분석한 결과 가장 높은 농도를 나타내는 중금속은 유연탄 사용시설에서 Ni 21.2 μg/S㎥로 배출되었다. 그리고 특정대기유해물질인 Cr은 5개 시설에서 1.5 μg/S㎥ ~ 14.0 μg/S㎥으로 비교적 낮은 농도로 검출되었다. 벤젠은 5개 시설 중 Bio-SRF 사용시설에서 11.0 ppb, SRF 사용시설에서는 4.0 ppb로 낮게 나타났다. 고체연료 사용시설의 먼지 배출계수는 12.80 g/kg ∼ 38.12 g/kg, SO<sub>x</sub> 배출계수는 0 g/kg ∼ 5.52 g/kg, NO<sub>x</sub> 배출계수는 0.75 g/kg ∼ 8.54 g/kg으로 나타났다. 실험값은 고시에 의한 산출값 보다 낮게 나타났다. 특히, 먼지 배출계수는 SRF와 Bio-SRF 모두 5.0A와는 다르게 나타났고 NO<sub>x</sub> 배출계수는 연소방법, 연료의 종류(SRF, Bio-SRF)에 따라 다르게 나타나 별도의 배출계수식이 필요한 것으로 보인다. 그리고 SO<sub>x</sub> 배출계수는 반드시 방지시설 전단측정을 하여 배출계수 산정이 필요함을 알 수 있었다. In this study, we analyzed 10 items including particulate matter, among three thermal power generators (bituminous coal, bituminous coal and Bio-SRF, bituminous coal and Bio-SRF) and two incineration facilities (SRF, Bio-SRF) using solid fuel. The uncontrolled emission factors of particulate matter, SO<sub>x</sub>, and NO<sub>x</sub> were obtained by measuring air pollutants at the end of the prevention facility. The average emission concentrations were as low as 1.54 mg/S㎥ ~ 4.34 mg/S㎥ for particulate matters, not detected ~ 12.21 ppm for SOx, and 19.34 ppm ~ 68.89 ppm for NO<sub>x</sub> within all emission limits. Analysis of six heavy metals (Cd, Cu, Ni, Pb, Zn, Cr) revealed that the highest concentration of heavy metals was obtained for Ni 21.2 μg/S㎥ in the bituminous coal facility. The concentration of Cr, a specific air pollutant, was found to be relatively low at 1.5 μg/S㎥ ~ 14.0 μg/S㎥ at five facilities. Benzene concentration was lowered to 11.0 ppb in the Bio-SRF facility and to 4.0 ppb in the SRF facility among the five facilities. The emission factors of the solid fuel facilities for particulate matter, SO<sub>x</sub>, and NO<sub>x</sub> were 12.80 g/kg ~ 38.12 g/kg, 0 g/kg ~ 5.52 g/kg, and 0.75 g/kg ~ 8.54g/kg. The experimental value was lower than the calculated value. Especially, the particulate matter emission factor was different from 5.0A for both SRF and Bio-SRF, and the NO<sub>x</sub> emission factor seems to depend on the combustion method and the type of fuel used (SRF, Bio-SRF). The SO<sub>x</sub> emission factor must be estimated by measuring the shear of the prevention facilities.
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생쥐의 卵子自然成熟 및 體外受精에 있어서 卵丘細胞의 役割
이희섭,홍기연,이희민,최은하,김원신 圓光大學校 醫科學硏究所 1995 圓光醫科學 Vol.11 No.2
This study was to determine whether cumulus cell augments spontaneous maturation in vitro of oocyte and in vitro fertilization of the mouse. The maturation rate was evaluated by analyzing the metaphase Ⅱ chromosomal configurations 24 hour after incubation and the fertilization frequency was evaluated by observation of zygotic division to 2-cell 16 hour after insemination. The maturation rate of cumulus-oocyte complex was not significantly different in that of denuded oocytes(86% versus 81%). The fertilization frequency of cumulus-oocyte complex was significantly higher than that of denuded oocytes (59% versus 29%, p<0.05). It is concluded that the presence of cumulus cell does not augment the spontaneous maturation of immature oocyte but augments the fertilization frequency in mouse.
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유전 및 육종 : 전장 유전체 연관분석을 통한 한우 성장 연관 양적형질좌위 (QTL) 탐색
이승환 ( Seung Hwan Lee ),임다정 ( Da Jeong Lim ),장길원 ( Gul Won Jang ),조용민 ( Yong Min Cho ),최봉환 ( Bong Hwan Choi ),김시동 ( Si Dong Kim ),이준헌 ( Jun Heon Lee ),윤두학 ( Du Hak Yoon ),박응우 ( Eung Woo Park ),이학교 ( Ha 한국동물자원과학회(구 한국축산학회) 2012 한국축산학회지 Vol.54 No.5
본 연구는 한우 거세우 266두에서 유전자형 결정이 완료된 4,522개의 SNP를 이용하여 한우 성장형질 (6, 12, 18 및 24개월 령 체중)에 대한 양적형질좌위 (QTL)을 탐색 하였다. 각 SNP와 성장형질과의 연관성 분석은 회귀분석 (single marker regression) 을 이용하여 수행하였으며, 통계적 유의성은 P-value (P<0.001)로 설정하였다. 그 결과, 6개월체중에서 3개 좌위, 12개월 체중에서는 5개 좌위, 18개월체중에서 5개좌위 그리고 24개월체중에서 4개 좌 위가 통계적 유의차를 보였다. 통계적 유의차를 보인 SNP의 상가 적 유전분산을 분석한 결과, 몇몇 SNP에서는 6~11% 정도의 상가 적 유전효과를 보였으며, 대부분의 SNP들은 2~5%로 매우 작은 효과를 보였다. Genome-wide association study was performed on data from 266 Hanwoo steers derived from 66 sires using bovine 10K mapping chip in Hanwoo (Korean cattle). SNPs were excluded from the analysis if they failed in over 5% of the genotypes, had median GC scores below 0.6, had GC scores under 0.6 in less than 90% of the samples, deviated in heterozygosity more than 3 standard deviations from the other SNPs and were out of Hardy-Weinberg equilibrium for a cut-off p-value of 1-15. Unmapped and SNPs on sex chromosomes were also excluded. A total of 4,522 SNPs were included in the analysis. To test an association between SNP and QTL, a single marker regression analysis was implemented in this study. SNP was assumed to be in LD with QTL in close proximity and the effect evaluated was additive effect (QTL allele substitution effect). The number of significant SNP at a threshold of P<0.001 was 3, 5, 5 and 4 loci for live weight at 6, 12, 18 and 24 months, respectively. For live weight at different ages, significant SNP were spread out across chromosome but some of significant SNP (rs29012453 and rs29012456 on BTA24) had shown highly significant effects. As for the distribution of size of SNP effects, few loci for live weight at different age had moderate effects (6~11%) but most of significant loci had small effects (2 to 5% of additive genetic variance) against total additive genetic variance. In conclusion, live weight at different age might be affected by few loci with moderate effect and many loci with small effects across genome in Hanwoo.
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