본 연구에서는 준 회분식 교반조를 사용하여 polybutene (PB)와 polyisobutylene (PIB)고분자를 용해한 벤젠 용액을 연속상, 물을 불연속상으로 구성한 w/o 에멀션액막에 CO2을 흡수시켜 흡수속도를 측정하였다. 점탄성을 나타내는 Deborah 수를 사용하여 점탄성 비뉴튼액체에서 구한 부피물질전달계수 (kLa)를 고찰하고, 수용액에 첨가한 2-amino-2-methyl-1-propanol(AMP)와 CO2의 반응 메카니즘을 해석하였다.

진단방사선 영상을 획득하기 위해 이용되는 X-ray는 연속적인 에너지 분포를 가지지만 저에너지 광자의 경우에는 영상 형성 보다는 환자피폭에 더 많은 기여를 하는 것으로 알려져 있다. 이러한 저에너지 광자를 제거하기 위해 임상에서는 알루미늄 필터를 적용하고 있으나 이는 빔 경화 현상으로 인한 영상 품질에 악 영향을 미칠 가능성이 있다. 이에 본 연구에서는 알루미늄 필터에 의한 산란 선량이 의료 영상의 품질에 미치는 영향에 대하여 고찰하고자 하였다. 또한, 영상의 대조도 저하를 정량적으로 표현하기 위해 상대 표준 편차 및 산란 열화 인자를 평가 지표로서 활용하였다. 연구 결과, 70 kVp 이상의 전압에서 진단 영상을 확보 시 NCRP에 의해 권장되는 2.5 mmAl를 기준에서 전방산란율 분석 결과 0.69 %, 산란 열화 인자 분석 결과는 0.005, NNPS 분석 결과 3.59 mm2의 변화가 나타났다. 이러한 연구 결과를 바탕으로 알루미늄 필터의 두께가 증가함에 따라 발생하는 산란 선량이 의료 영상의 품질을 저하시키는 것을 정량적으로 검증하 였다.

Background : Jujube (Zizyphus jujuba. Mill) is a broad-leaved shrub belonging to the family Seagull. Its origin is India and its height is about 5 m. The flowers are gathered in two to three in May-June, with five petals and yellowish green. Leaves are alternate, egg-shaped or long egg-shaped, with clearly visible three veins. The fruit, called jujube, is an elliptical nucleus with the seed wrapped in a solid nucleus. It is 2.5 - 3.5 ㎝ in length, green at first, ripened in brown or reddish brown in September-October. Jujube uses the bud mutation to breed and spreads through grafting. Therefore, there is little difference in phenotype between cultivars. However, because of the lack of research on jujube molecular biology, there is no standard to distinguish the variety at the DNA level. In order to overcome such difficulties and to create a research foundation of jujube, we have developed molecular markers from jujube. Methods and Results : We collected 12 jujube varieties include Bogjo and extracted DNA using CTAB method. The DNA was diluted to 10 ng/㎕ and kept at -20℃. We designed the primer sets using CLC Main Workbench based on DNA InDel regions between the varieties. PCR and electrophoresis were performed to confirm the polymorphism. We designed 26 primer sets from 23 InDel regions. Eighteen of 26 primer sets amplified the amplicon from the primer screening. Eight primer sets were selected for polymorphism assays. All primer sets showed polymorphism. The domesticated cultivars were divided into two groups and the Japanese and Chinese varieties were separated. Conclusion : The InDel markers developed in this study could be good tools to differentiate the jujube cultivars cultivated in Korea.

현재 의료분야에서는 방사선 차폐체로서 납(Pb)이 널리 쓰이고 있다. 하지만 납은 무게가 매우 무거워 납 치마 등의 방호복은 장시간 착용이 어려우며, 인체에 치명적인 납 중독의 위험이 상시 가지고 있다는 문제 점을 가지고 있다. 이러한 문제점을 해결하고자 납을 대체 할 수 있는 물질에 대한 많은 연구가 진행되고 있다. 현재 납의 대체물질로써 대표적인 바륨(Ba)과 요오드(I) 등은 우수한 차폐능을 가지고 있지만, 30keV 근처의 에너지 영역에서 특성 X선을 방출하는 특성을 가지고 있다. 환자나 방사선 종사자의 경우 차폐체를 인체에 접촉하고 있는 경우가 많으므로 차폐체에서 발생되는 특성 X선이 인체에 직접 조사되어 방사선 피 폭을 증가시킬 위험이 매우 높다. 본 연구에서는 바륨(Ba)과 요오드(I)등에서 발생되는 특성 X선을 제거하기에 적절한 이중구조 차폐체를 방사선 수송코드 중 하나인 FLUKA 수송코드를 개발하여 선행연구로서 진행된 MCNPX 시뮬레이션과 비 교 분석하여 이중구조 차폐체의 차폐율에 대한 신뢰성을 검증하고자 하였다. MCNPX와 FLUKA를 이용하 여 황산바륨(BaSO4)과 산화비스무스(Bi2O3)로 이루어진 다양한 두께조합의 이중구조 차폐체를 설계하였으 며, IEC61331-1에 제시된 모식도를 기하학적으로 동일하게 시뮬레이션 상에 구현하였다. 또한, 120 kVp 의 연속 X선 스펙트럼에 대한 차폐체의 투과스펙트럼과 흡수선량을 납과 비교 평가하였다. 평가결과, 0.3 mm-BaSO4/0.3 mm-Bi2O3 와 0.1 mm-BaSO4/0.5 mm-Bi2O3 구조에서는 33 keV와 37 keV의 특 성 X선을 모두 흡수하였으며, 90 keV 이상의 고에너지 X선에 대해서도 납과 거의 유사한 차폐효율을 보였 다. 또한, FLUKA의 수송코드는 33 keV 이하에서는 cut-off 가 발생하여 저에너지 X선 광자에 대한 전산모 사에 제약이 있지만, 40 keV 이상의 고에너지 영역에서 MCNPX와의 상대오차가 6 % 이내로 신뢰성이 매 우 우수하다는 것을 확인할 수 있었다.

Background: In the herbal medicinal industry, Angelica gigas Nakai, Angelica sinensis (Oliv.) Diels. and Angelica acutiloba (Siebold & Zucc.) Kitag. are often confused, because the roots of the three species can not be distinguished by their appearance. This confusion can cause serious side effects. In this study, we determined the origins of Angelica roots distributed in the Korean market using the simple sequence repeat (SSR) markers developed based on the A. gigas chloroplast DNA sequence. Methods and Results: We collected twenty seven A. gigas and three A. acutiloba samples from the Seoul, Daegu, and Cheongju herbal medicinal markets. Fifty sections of one collection were mixed and ground to make a powder, which was used for DNA extraction using the cetyl trimethylammonium bromide (CTAB) method. Chloroplast based SSR markers were applied to the DNA for the determination of the species. In addition, polymorphism was found in eight samples. The phylogenetic analysis showed that the A. gigas roots collected from herbal medicinal markets were clearly discriminated from A. sinensis and A. acutiloba even though they were grouped into four clusters. Conclusions: This study showed that chloroplast based SSR markers would help the discrimination of Angelica roots in the Korean herbal medicinal industry and the markers are useful to prevent confusion between Angelica roots.

최근 다엽콜리메이터를 부착한 선형가속기를 이용한 방사선수술의 빈도가 점차 높아지고 있다. 이러한 정교한 방사선 수술은 소조사면 내에 고선량의 방사선이 집중적으로 조사되기 때문에 체계적이고 정확한 정도관리가 필수적이다. 본 연구는 PIB(Particle in Binder) 방식 중 침전법을 이용하여 400 ㎛ 두께의 요오드화납(PbI2)과 요오드화수은(HgI2) 광도전체 센서 시편를 제작하였다. 제작된 시편의 전기적 특성은 암전류, 출력전류, 응답특성 및 선형성을 평가하였다. 평가 결과, HgI2 가 우수한 신호발생량과 선형성을 보였다. 끝으로, 두께에 따른 HgI2 센서의 신호반응 특성 결과, 400 ㎛ 두께에서 신호발생효율이 가장 높았고, ±2.5 % 이내의 우수한 재현성을 보였다.

Background : Angelica gigas is a monocarpic perennial plant. A. gigas, also called DangGui or Korean Angelica, is a major medicinal herb used in Asian countries such as Korea, Japan and China. In Korea, we are using the roots of A. gigas. but, Chinese using Angelica sinensis and Japanese using Angelica acutiloba with the same name 'DangGui'. The biggest problem in the use of A. gigas is the confusion with A. acutiloba or A. sinensis. This confusion can cause an medical accident or lack of pharmacological ingredients. In this study, we developed chloroplast InDel markers that can distinguish A. gigas, A. acutiloba or A. sinensis. Methods and Results : We collected 14 Angelica plant samples including A. gigas, A. acutiloba and A. sinensis and extrated DNA using CTAB method. The DNA was diluted to 10 ng/㎕ and kept -20℃. We designed the primer sets using CLC Main Workbench based on chloroplast DNA InDel region of between A. gigas and A. acutiloba. PCR were performed on the 14 Angelica plant samples including A. gigas, A. acutiloba and A. sinensis (5 repeats each). Electrophoresis was performed using fragment analyzer automated CE system. We designed 6 InDel primer sets and the primer sets amplified the amplicons effectively. Three of the 6 primer sets showed polymorphism. Conclusion : We could distinguish A. gigas, A. acutiloba, and A. sinensis using 2 newly developed InDel markers.

Background : In the herbal medicine market, Angelica gigas, Angelica sinensis, and Angelica acutiloba are all called "Danggui" and used confusingly. We aimed to assess the genetic diversity and relationships among 14 Angelica species collected from different global seed companies. Toward this aim we developed DNA markers to differentiate the Angelica species. Methods and Results : A total of 14 Angelica species, A. gigas, A. acutiloba, A. sinensis, A. pachycarpa, A. hendersonii, A. arguta, A. keiskei, A. atropurpurea, A. dahurica, A. genuflexa, A. tenuissima, A. archangelica, A. taiwaniana, and A. hispanica were collected. The genetic diversity of all 14 species was analyzed by using five chloroplast DNA-based simple sequence repeat (SSR) markers and employing the DNA fragment analysis method. Each primer amplified 3 - 12 bands, with an average of 6.6 bands. Based on the genetic diversity analysis, these species were classified into specific species groups. The cluster dendrogram showed that the similarity coefficients ranged from 0.77 to 1.00. Conclusions : These findings could be used for further research on cultivar development by using molecular breeding techniques and for conservation of the genetic diversity of Angelica species. The analysis of polymorphic SSRs could provide an important experimental tool for examining a range of issues in plant genetics.

Background: In the herbal medicine market, Angelica gigas, Angelica sinensis, and Angelica acutiloba are all called "Danggui" and used confusingly. We aimed to assess the genetic diversity and relationships among 14 Angelica species collected from different global seed companies. Toward this aim we developed DNA markers to differentiate the Angelica species. Methods and Results: A total of 14 Angelica species, A. gigas, A. acutiloba, A. sinensis, A. pachycarpa, A. hendersonii, A. arguta, A. keiskei, A. atropurpurea, A. dahurica, A. genuflexa, A. tenuissima, A. archangelica, A. taiwaniana, and A. hispanica were collected. The genetic diversity of all 14 species was analyzed by using five chloroplast DNA-based simple sequence repeat (SSR) markers and employing the DNA fragment analysis method. Each primer amplified 3 - 12 bands, with an average of 6.6 bands. Based on the genetic diversity analysis, these species were classified into specific species groups. The cluster dendrogram showed that the similarity coefficients ranged from 0.77 to 1.00. Conclusions: These findings could be used for further research on cultivar development by using molecular breeding techniques and for conservation of the genetic diversity of Angelica species. The analysis of polymorphic SSRs could provide an important experimental tool for examining a range of issues in plant genetics.

Platycodon grandiflorum A. is a perennial plant belongs to Campanulaceae family. This plant has been used herbal medicine ingredient in East Asia. Because of the high saponin content, it is an economically important medicinal plant in Korea. It has been reported that saponins of P. grandiflorum were mainly synthesized in root tissues. The studies about root growth of the plant were few. Expansin is an important protein playing a role in root growth of plants, and is known as a nonenzymatic protein. Expansins are novel plant cell wall loosening proteins leading to turgor-driven cell extension. Expansin encoding genes exist in multigene family, and there are more than 30 genes in Arabidopsis thaliana. and more than 50 genes in Oryaza sativa. Therefore, identification of the genes was difficult in P. grandiflorum because of the lack of genome sequence. Recently, the development of next generation sequencing (NGS) technologies make it possible to obtain the target genes sequences rapidly and precisely. In this study, to identify the expansin encoding genes in P. grandiflorum, we used RNA-seq analysis with Illumina HiSeq platform. We analyzed whole transcriptome of P. grandiflorum through the RNA-seq analysis based on next generation seuqencing. CLC Genomics Workbench software (Clc Bio inc.) was used for assembly. We assembled 122,663 contigs and search 123 contigs were identified from the search using 61 expansin gene