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    Discretization approach

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    ํ•™์œ„๋…ผ๋ฌธ(๋ฐ•์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :๊ณต๊ณผ๋Œ€ํ•™ ํ™”ํ•™์ƒ๋ฌผ๊ณตํ•™๋ถ€(์—๋„ˆ์ง€ํ™˜๊ฒฝ ํ™”ํ•™์œตํ•ฉ๊ธฐ์ˆ ์ „๊ณต),2019. 8. ์ด์›๋ณด.In recent years, many researchers in chemical engineering have made great efforts to develop mathematical models on the theoretical side that are consistent with experimental results. Despite these efforts, however, establishing models for a system with complex phenomena such as multiphase flow or stirred reactors is still considered to be a challenge. In the meantime, an increase in computational efficiency and stability in various numerical methods has allowed us to correctly solve and analyze the system based on the fundamental equations. This leads to the need for a mathematical model to accurately predict the behavior of systems in which there is interdependence among the internal elements. A methodology for building a model based on equations that represent fundamental phenomena can lower technical barriers in system analysis. In this thesis, we propose three mathematical models validated from laboratory or pilot-scale experiments. First, an apparatus for vaporizing liquid natural gas is surrounded with a frost layer formed on the surface during operation, and performance of the apparatus is gradually deteriorated due to the adiabatic effect. Because the system uses ambient air as a heat sink, it is necessary to consider the phase transition and mass transfer of water vapor, and natural gas in the air in order to understand the fluctuation of system characteristics. The model predicts the experimental data of a pilot-scale vaporizer within a mean absolute error of 5.5 %. In addition, we suggest the robust design methodology and optimal design which is able to maintain the efficiency under the weather conditions for a year. Two or more data analysis techniques including discrete waveform transformation and k-means clustering are used to extract features that can represent time series data. Under the settings, the performance in the optimized desgin is improved by 22.92 percentage points compared to that in the conventional system. In the second system, the continuous tubular crystallization reactor has advantages in terms of production capacity and scale-up compared with the conventional batch reactor. However, the tubular system requires a well-designed control system to maintain its stability and durability, and thus; there is a great deal of demand for the mathematical model of this system. We were able to estimate crystal size distribution by considering the population balance model simultaneously with several heat exchanger models. The model constructed based on the first principle reaction scheme successfully predicted the results from the full-factorial experiment. The experiments were conducted with LAM (L-asparagine monohydrate) solution. In the prediction, the average crystal length and standard deviation were within 20% of the results of an experiment where the crystals were not iteratively dissolved in the liquid but maintained a low-level supersaturation. Furthermore, to confirm the controllability of the crystal size distribution in the system, we replaced the LAM solution with HEWL (Hen-egg white lysozyme) solution. Finally, we propose a multi-compartment model to predict the behavior of a high-pressure autoclave reactor for polymer production. In order to simulate a complex polymer synthesis mechanism, the rotation effect of impellers in the reactor on polymerization and the influence caused by polymerization heat were sequentially evaluated. As a result, This model turned out to be able to predict the physical properties of the polymers produced in an industrial-scale reactor within 7% accuracy. In this thesis, all three systems are distributed parameter systems which can be expressed as partial differential equations for time and space. To construct a high order model, the system was interpreted based on discretization approach under minimal assumptions. This methodology can be applied not only to the systems suggested in this thesis but also to those consisting of interpdependent variables. I hope that this thesis provides guidance for further researches of chemical engineering in nearby future.์ตœ๊ทผ์— ๋ช‡ ๋…„์— ๊ฑธ์ณ์„œ ๋งŽ์€ ์—ฐ๊ตฌ์ž๋“ค์ด ์ด๋ก ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ ์ผ์น˜ํ•˜๋Š” ์ˆ˜ํ•™ ๋ชจ๋ธ์„ ๊ฐœ๋ฐœํ•˜๊ณ ์ž ๋งŽ์€ ๋…ธ๋ ฅ์„ ๊ธฐ์šธ์—ฌ ์™”๋‹ค. ํ•˜์ง€๋งŒ ์ด๋Ÿฐ ๋…ธ๋ ฅ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ๋‹ค์ƒ ํ๋ฆ„ ํ˜น์€ ๊ต๋ฐ˜ ๋ฐ˜์‘๊ธฐ์™€ ๊ฐ™์€ ๋ณต์žกํ•œ ํ˜„์ƒ์„ ๋‚ดํฌํ•œ ์‹œ์Šคํ…œ์„ ์œ„ํ•œ ๋ชจ๋ธ์„ ์ˆ˜๋ฆฝํ•˜๋Š” ๊ฒƒ์€ ์—ฌ์ „ํžˆ ํ™”ํ•™ ๊ณตํ•™ ๋ถ„์•ผ์—์„œ ์‰ฝ์ง€ ์•Š์€ ์ผ๋กœ ์—ฌ๊ฒจ์ง„๋‹ค. ์ด ์™€์ค‘์— ๋‹ค์–‘ํ•œ ์ˆ˜์น˜์  ๋ฐฉ๋ฒ•์—์„œ์˜ ๊ณ„์‚ฐ ํšจ์œจ์˜ ์ฆ๊ฐ€์™€ ์•ˆ์ •์„ฑ์˜ ํ–ฅ์ƒ์€ ๊ธฐ๋ณธ๋ฐฉ์ •์‹์— ๊ธฐ์ดˆํ•œ ์‹œ์Šคํ…œ์„ ์ •ํ™•ํ•˜๊ฒŒ ํ•ด๊ฒฐํ•˜๊ณ  ๋ถ„์„ํ•  ์ˆ˜ ์žˆ๊ฒŒ ํ•ด์ฃผ์—ˆ๋‹ค. ์ด๋กœ ์ธํ•˜์—ฌ ๋‚ด๋ถ€ ์š”์†Œ๋“ค ๊ฐ„์˜ ์ƒํ˜ธ ์˜์กด์„ฑ์ด ์กด์žฌํ•˜๋Š” ์‹œ์Šคํ…œ์˜ ๊ฑฐ๋™์„ ์ •ํ™•ํ•˜๊ฒŒ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•œ ์ˆ˜ํ•™์  ๋ชจ๋ธ์˜ ํ•„์š”์„ฑ์ด ๋ถ€๊ฐ๋˜์—ˆ๋‹ค. ๊ธฐ๋ณธ ํ˜„์ƒ๋“ค์„ ํ‘œํ˜„ํ•  ์ˆ˜ ์žˆ๋Š” ๋ฐฉ์ •์‹๋“ค์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•˜๊ธฐ ์œ„ํ•œ ๋ฐฉ๋ฒ•๋ก ์€ ์‹œ์Šคํ…œ ํ•ด์„์— ์žˆ์–ด์„œ ๊ธฐ์ˆ ์  ์žฅ๋ฒฝ์„ ๋‚ฎ์ถœ ์ˆ˜ ์žˆ๋‹ค. ์ด ํ•™์œ„ ๋…ผ๋ฌธ์—์„œ ์šฐ๋ฆฌ๋Š” ์‹คํ—˜์‹ค ๋˜๋Š” ํŒŒ์ผ๋Ÿฟ ๊ทœ๋ชจ์˜ ์‹คํ—˜์œผ๋กœ๋ถ€ํ„ฐ ์ž…์ฆ๋œ ์„ธ ๊ฐ€์ง€ ์ˆ˜ํ•™์  ๋ชจ๋ธ์„ ์ œ์•ˆํ•œ๋‹ค. ์ฒซ ๋ฒˆ์งธ๋กœ, ๊ณต๊ธฐ๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์•ก์ƒ์˜ ์ฒœ์—ฐ๊ฐ€์Šค๋ฅผ ๊ธฐํ™”์‹œํ‚ค๋Š” ์žฅ์น˜๋Š” ์šด์ „ ๋„์ค‘์— ๊ธฐํ™”๊ธฐ ํ‘œ๋ฉด์— ์„œ๋ฆฌ ์ธต์ด ํ˜•์„ฑ๋˜๊ณ  ๊ทธ๋กœ ์ธํ•œ ๋‹จ์—ด ํšจ๊ณผ๋กœ ์žฅ๋น„์˜ ์„ฑ๋Šฅ์ด ์„œ์„œํžˆ ์ €ํ•˜๋œ๋‹ค. ์‹œ์Šคํ…œ์€ ์ฃผ๋ณ€ ๊ณต๊ธฐ๋ฅผ ์—ด ํก์ˆ˜์›์œผ๋กœ ์‚ฌ์šฉํ•˜๊ธฐ ๋•Œ๋ฌธ์— ์‹œ์Šคํ…œ ํŠน์„ฑ์˜ ๋ณ€๋™์„ ํŒŒ์•…ํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ๊ณต๊ธฐ ์ค‘ ์ˆ˜์ฆ๊ธฐ ๋ฐ ์ฒœ์—ฐ ๊ฐ€์Šค์˜ ์ƒ์ „์ด ๋ฐ ์ „๋‹ฌ ํ˜„์ƒ์„ ๋™์‹œ์— ๊ณ ๋ คํ•˜์—ฌ์•ผ ํ•œ๋‹ค. ์ œ์‹œ๋œ ์ˆ˜ํ•™์  ๋ชจ๋ธ์— ์˜ํ•ด ์˜ˆ์ธกํ•œ ๊ฒฐ๊ณผ๋Š” ํŒŒ์ผ๋Ÿฟ ๊ทœ๋ชจ ๊ธฐํ™”๊ธฐ๋กœ๋ถ€ํ„ฐ ์–ป์€ ์‹คํ—˜ ๋ฐ์ดํ„ฐ์™€ 5.5% ํ‰๊ท  ์ ˆ๋Œ€ ์˜ค์ฐจ๋ฅผ ๋ณด์˜€๋‹ค. ์ด์— ๋”ํ•˜์—ฌ, ์•ž์—์„œ ์ œ์‹œํ•œ ๊ธฐํ™”๊ธฐ ๋ชจ๋ธ์„ ์ด์šฉํ•˜์—ฌ 1๋…„ ๋™์•ˆ์˜ ๊ธฐ์ƒ ์กฐ๊ฑด์—์„œ ์šด์ „ ํšจ์œจ์„ ์œ ์ง€ํ•˜๋ฉด์„œ ์ง€์† ์šด์ „์ด ๊ฐ€๋Šฅํ•œ ๊ธฐํ™”๊ธฐ์˜ ์„ค๊ณ„ ๋ฐฉ๋ฒ•๊ณผ ๊ฒฐ๊ณผ๋ฅผ ์ œ์•ˆํ•˜์˜€๋‹ค. ์ด์‚ฐ ํŒŒํ˜• ๋ณ€ํ™˜๊ณผ k-ํ‰๊ท  ๊ตฐ์ง‘ํ™”๋ฅผ ํฌํ•จํ•˜๋Š” ๋‘ ๊ฐ€์ง€ ์ด์ƒ์˜ ๋ฐ์ดํ„ฐ ๋ถ„์„ ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ ์‹œ๊ณ„์—ด ๋ฐ์ดํ„ฐ๋ฅผ ๋Œ€ํ‘œํ•  ์ˆ˜ ์žˆ๋Š” ํŠน์ง•์„ ์ถ”์ถœํ•œ๋‹ค. ์ถ”์ถœ๋œ ํŠน์ง• ์•„๋ž˜์—์„œ ์ตœ์ ํ™”๋œ ๋””์ž์ธ์€ ๊ธฐ์กด ์ œ์‹œ๋œ ์•ˆ์— ๋น„ํ•ด 22.92% ๋งŒํผ ํ–ฅ์ƒ๋œ ์„ฑ๋Šฅ์„ ๋ณด์—ฌ์ฃผ์—ˆ๋‹ค. ๋‘ ๋ฒˆ์งธ ์‹œ์Šคํ…œ์€ ์‹  ์ œ์•ฝ ๊ธฐ์ˆ  ๊ณต์ •์ธ ์—ฐ์† ๊ด€ํ˜• ๊ฒฐ์ •ํ™” ๋ฐ˜์‘๊ธฐ๋Š” ๊ธฐ์กด์— ๋„๋ฆฌ ์“ฐ์ด๋˜ ํšŒ๋ถ„์‹ ๋ฐ˜์‘๊ธฐ์— ๋น„ํ•˜์—ฌ ์ƒ์‚ฐ ์†๋„ ๋ฐ ์Šค์ผ€์ผ ์—… ์ธก๋ฉด์—์„œ ์žฅ์ ์ด ๋งŽ๋‹ค. ํ•˜์ง€๋งŒ ์ œ์–ด๊ธฐ์ˆ ์ด ๊ธฐ๋ฐ˜์ด ๋˜์–ด์•ผํ•œ๋‹ค๋Š” ์ ์— ์žˆ์–ด์„œ ๊ทธ ๋„์ž…์ด ๋Šฆ์–ด์กŒ๊ณ  ์ด์— ๋”ฐ๋ผ ์ž์—ฐ์Šค๋Ÿฝ๊ฒŒ ๊ฐœ๋ฐœ๋œ ๋ชจ๋ธ ๋˜ํ•œ ์ „๋ฌดํ•˜๋‹ค. ์šฐ๋ฆฌ๋Š” ์ด ์žฅ์น˜์—์„œ ๊ฒฐ์ • ํฌ๊ธฐ ๋ถ„ํฌ๋ฅผ ์ถ”์‚ฐํ•˜๊ธฐ ์œ„ํ•œ ์ธ๊ตฌ ๊ท ํ˜• ๋ชจ๋ธ์„ ์—ด ๊ตํ™˜ ๋ชจ๋ธ๊ณผ ๋™์‹œ์— ๊ณ ๋ คํ•˜์—ฌ ๊ฒฐ์ • ํฌ๊ธฐ ๋ถ„ํฌ๋ฅผ ์ถ”์‚ฐํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ œ 1์›๋ฆฌ ๊ฒฐ์ • ๋ฐ˜์‘์‹์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ตฌ์ถ•๋œ ๋ชจ๋ธ์€ ์™„์ „ ์š”์ธ ๋ฐฐ์น˜๋ฒ•์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์‹คํ—˜๋œ ๋ฐ์ดํ„ฐ๋ฅผ ์„ฑ๊ณต์ ์œผ๋กœ ์˜ˆ์ธกํ•˜์˜€๋‹ค. ๊ฒฐ์ •์ด ์•ก์ƒ์— ์šฉํ•ด๋˜์ง€ ์•Š์œผ๋ฉด์„œ ๋‚ฎ์€ ์ˆ˜์ค€์˜ ๊ณผํฌํ™” ์ƒํƒœ๋ฅผ ์œ ์ง€ํ•œ ์‹คํ—˜์— ๋Œ€ํ•ด์„œ๋Š” ํ‰๊ท  ๊ฒฐ์ • ๊ธธ์ด์™€ ํ‘œ์ค€ํŽธ์ฐจ๊ฐ€ ์‹คํ—˜ ๊ฒฐ๊ณผ์™€ 20% ์ด๋‚ด์˜ ์˜ค์ฐจ๋ฅผ ๋ณด์˜€๋‹ค. ์•ž์—์„œ ๋ชจ๋ธ์˜ ๊ฒ€์ฆ์— ์‚ฌ์šฉ๋œ ๋ฐ์ดํ„ฐ๊ฐ€ LAM (L-์•„์ŠคํŒŒ๋ผ๊ธด ์ผ ์ˆ˜ํ™”๋ฌผ)์šฉ์•ก์œผ๋กœ๋ถ€ํ„ฐ ์–ป์–ด์ง„ ๊ฒƒ์ด์—ˆ๋‹ค๋ฉด ์ดํ›„์—๋Š” HEWL (๋‹ฌ๊ฑ€ ํฐ์ž ๋ฆฌ์†Œ์ž์ž„)๋ฅผ ์‚ฌ์šฉํ•˜์—ฌ ์ œํ’ˆ์˜ ๊ฒฐ์ • ํฌ๊ธฐ ๋ถ„ํฌ์˜ ์กฐ์ ˆ ๊ฐ€๋Šฅ์„ฑ์„ ๋ณด์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ํด๋ฆฌ๋จธ ์ƒ์‚ฐ์„ ์œ„ํ•œ ๊ณ ์•• ์˜คํ† ํด๋ ˆ์ด๋ธŒ ๋ฐ˜์‘๊ธฐ์˜ ๊ฑฐ๋™์„ ์˜ˆ์ธกํ•˜๊ธฐ ์œ„ํ•œ ๋‹ค์ค‘ ๊ตฌํš ๋ชจ๋ธ์„ ์ œ์•ˆํ•˜์˜€๋‹ค. ๋ณต์žกํ•œ ๊ณ ๋ถ„์ž ํ•ฉ์„ฑ ๋ฉ”์ปค๋‹ˆ์ฆ˜์„ ๋ชจ์‚ฌํ•˜๊ธฐ ์œ„ํ•˜์—ฌ ๋ฐ˜์‘๊ธฐ ๋‚ด ์ž„ํŽ ๋Ÿฌ์˜ ํšŒ์ „์ด ์ค‘ํ•ฉ์— ๋ฏธ์น˜๋Š” ํšจ๊ณผ์™€ ์ค‘ํ•ฉ ์—ด๋กœ ์ธํ•œ ์˜ํ–ฅ๋ ฅ์„ ์ˆœ์ฐจ์ ์œผ๋กœ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ์ œ์•ˆ๋œ ๋ชจ๋ธ์€ 3D ๊ตฌ์กฐ๋ฅผ ๊ฐ€์ง„ ์‚ฐ์—…ํ™”๋œ ๋ฐ˜์‘๊ธฐ์—์„œ ์ƒ์‚ฐ๋œ ๋‘ ๊ฐ€์ง€ ๊ณ ๋ถ„์ž์˜ ๋ฌผ์„ฑ์„ 7%์ด๋‚ด ์ •ํ™•๋„๋กœ ์˜ˆ์ธกํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์—์„œ๋Š” ๋‹ค๋ฃจ๋Š” ์‹œ์Šคํ…œ์€ ๋ชจ๋‘ ๋ถ„ํฌ ์ •์ˆ˜๊ณ„ ์‹œ์Šคํ…œ์œผ๋กœ ์‹œ๊ฐ„๊ณผ ๊ณต๊ฐ„์— ๋Œ€ํ•˜์—ฌ ํŽธ๋ฏธ๋ถ„๋ฐฉ์ •์‹์œผ๋กœ ํ‘œํ˜„ํ•  ์ˆ˜ ์žˆ๋‹ค. ๊ณ ์ฐจ ๋ชจ๋ธ์„ ๊ตฌ์ถ•ํ•˜๊ธฐ ์œ„ํ•ด ์ด์‚ฐํ™” ์ ‘๊ทผ๋ฒ•์„ ๊ธฐ๋ฐ˜์œผ๋กœ ์ตœ์†Œํ•œ์˜ ๊ฐ€์ • ํ•˜์— ์‹œ์Šคํ…œ์„ ํ•ด์„ํ•˜์˜€๋‹ค. ์ด๋Š” ๋…ผ๋ฌธ์— ์ œ์‹œํ•œ ์‹œ์Šคํ…œ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์‹œ๊ณต๊ฐ„์—์„œ ์˜ˆ์ธก ์–ด๋ ค์šด ๋ถ„ํฌ๋ฅผ ๊ฐ€์ง€๋Š” ๋ณ€์ˆ˜๋ฅผ ๊ฐ€์ง„ ๋ชจ๋“  ์‹œ์Šคํ…œ์— ๋Œ€ํ•˜์—ฌ ์ ์šฉ์ด ๊ฐ€๋Šฅํ•˜๋‹ค. ์ด ๋…ผ๋ฌธ์ด ์•ž์œผ๋กœ ํ™”ํ•™ ๊ณตํ•™ ๋ถ„์•ผ์˜ ์‹œ์Šคํ…œ์„ ํ•ด์„ํ•˜๋Š” ๋ฐ ์žˆ์–ด์„œ ๋” ๋ฐœ์ „๋œ ์—ฐ๊ตฌ๋ฅผ ์œ„ํ•œ ์ง€์นจ์„œ๊ฐ€ ๋˜๊ธฐ๋ฅผ ํฌ๋งํ•œ๋‹ค.Abstract i Contents iv List of Figures viii List of Tables xii Chapter 1 1 Introduction 1 1.1 Research motivation 1 1.2 Research objective 3 1.3 Outline of the thesis 4 1.4 Associated publications 9 Chapter 2 10 Distributed parameter system 10 2.1 Introduction 10 2.2 Modeling methods 11 2.3 Conclusion 16 Chapter 3 17 Modeling and design of pilot-scale ambient air vaporizer 17 3.1 Introduction 17 3.2 Modeling and analysis of frost growth in pilot-scale ambient air vaporizer 24 3.2.1 Ambient air vaporizer 24 3.2.2 Experimental measurement 27 3.2.3 Numerical model of the vaporizer 31 3.2.4 Result and discussion 43 3.3 Robust design of ambient air vaporizer based on time-series clustering 58 3.3.1 Background 58 3.3.2 Trend of time-series weather conditions 61 3.3.3 Optimization of AAV structures under time-series weather conditions 63 3.3.4 Results and discussion 76 3.4 Conclusion 93 3.4.1 Modeling and analysis of AAV system 93 3.4.2 Robust design of AAV system 95 Chapter 4 97 Tunable protein crystal size distribution via continuous crystallization 97 4.1 Introduction 97 4.2 Mathematical modeling and experimental verification of fully automated continuous slug-flow crystallizer 101 4.2.1 Experimental methods and equipment setup 101 4.2.2 Mathematical model of crystallizer 109 4.2.3 Results and discussion 118 4.3 Continuous crystallization of a protein: hen egg white lysozyme (HEWL) 132 4.3.1 Introduction 132 4.3.2 Experimental method 135 4.3.3 Results and discussion 145 4.4 Conclusion 164 4.4.1 Mathematical model of continuous crystallizer 164 4.4.2 Tunable continuous protein crystallization process 165 Chapter 5 167 Multi-compartment model of high-pressure autoclave reactor for polymer production: combined CFD mixing model and kinetics of polymerization 167 5.1 Introduction 167 5.2 Method 170 5.2.1 EVA autoclave reactor 170 5.2.2 Multi-compartment model of the autoclave reactor 173 5.2.3 CFD simulation of mixing effects in the autoclave reactor 175 5.2.4 Region-based dividing algorithm 178 5.2.5 Polymerization kinetic model 182 5.3 Results and discussion 191 5.4 Conclusion 203 5.5 Appendix 205 Chapter 6 210 Concluding Remarks 210 6.1 Summary of contributions 210 6.2 Future work 211 Appendix 214 Acknowledgment and collaboration declaration 214 Supplementary materials 217 Reference 227 Abstract in Korean (๊ตญ๋ฌธ์ดˆ๋ก) 249Docto

    ์ดˆ๊ณ  ์—ด์ „ ์„ฑ๋Šฅ ์ง€์ˆ˜ ZT๋ฅผ ๊ฐ€์ง€๋Š” ์ƒˆ๋กœ์šด ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ ๊ธฐ๋ฐ˜ ์†Œ์žฌ ๊ฐœ๋ฐœ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ํ™”ํ•™์ƒ๋ฌผ๊ณตํ•™๋ถ€, 2020. 8. ์ •์ธ.With the rapid increase in population and the depletion of fossil fuels, the demand for new energy sources is increasing worldwide. More than 60% of the energy produced is wasted in the form of heat. Thermoelectric technology can convert thermal energy into electrical energy, and since it can use waste heat as electrical energy, it has attracted much attention as a next-generation eco-friendly energy source. For the commercialization and practical use of the technology, the most problematic at present is the low performance of the thermoelectric material. Thermoelectric materials such as bismuth telluride and lead telluride, which have been studied the most in the past, have high thermoelectric performance through various strategies, but have limitations because they have elements such as toxic lead or very expensive tellurium. This dissertation will discuss the study of thermoelectric performance improvement of SnSe, an eco-friendly material among various thermoelectric materials. First, PbSe and Na were introduced into polycrystalline SnSe. Through the alloying of PbSe, it was confirmed that the phase transition temperature from the crystal structure of Pnma to the crystal structure of Cmcm decreased. Also, by introducing Na, the optimum carrier concentration could be improved to a level of 1019. Improved electrical conductivity and power factor were confirmed by optimized carrier concentration and lowered phase transition temperature. In addition, it was observed through aberration-corrected transmission electron microscopy that the introduction of PbSe formed nanostructures in SnSe materials, unlike the information in the existing phase diagram, which was thought to form solid solutions. Through this, it was found that the introduction of PbSe causes scattering by nanostructures, thereby lowering the thermal conductivity. The p-type SnSe-based material with a thermoelectric performance index ZT of about 1.2 was successfully developed in the composition of Na0.01(Sn0.95Pb0.05)0.99Se due to the improved power factor and reduced thermal conductivity. Second, a study was conducted to improve the thermoelectric performance of SnSe by defect engineering. Sample groups were constructed by introducing vacancy and indium into SnSe. It was confirmed that the electrical conductivity and the thermal conductivity decreased simultaneously as the vacancy content increased. However, through the introduction of indium, the electronic band structure was changed to improve the Seebeck coefficient, thereby minimizing the reduction in power factor. The thermoelectric figure of merit ZT ~2.0 was confirmed in the composition of Na0.01(Sn0.97In0.01)0.99Se through the lowered thermal conductivity and the improved power factor. Despite the same composition, when the annealing process was performed, the thermal conductivity was lowered. In order to investigate the cause of this, changes in the microstructure according to annealing time were observed through a Cs-corrected transmission electron microscope. It was confirmed that vacancies are distributed in clusters in a SnSe matrix that has not undergone annealing, and as the annealing progresses, vacancy clusters gather to form a heterostructure in a certain direction in SnSe matrix. Through the Cs-corrected transmission electron microscope observation and phase analysis, it was confirmed that the heterogeneous phase of In2Se3 was formed in the bulk SnSe, and through this, the cause of the lowered thermal conductivity was identified. In addition, the mechanism of formation of heterostructures in SnSe was suggested, and the possibility of formation of nanostructures in the SnSe bulk material through the introduction of other elements and vacancies was suggested. Third, the purpose of this study was to find out the cause of the difference in thermoelectric performance between single crystal SnSe and polycrystalline SnSe that have not been identified. The formation of tin oxide having a thermal conductivity of about 140 times higher than that of SnSe was confirmed in SnSe through Cs-corrected transmission electron microscopy, which is the cause of high thermal conductivity of polycrystalline SnSe. To solve this, a ball mill and a reduction process were performed. The content of oxide in the material was reduced, and at the same time, the thermal conductivity was also lower than that of a single crystal. Through this, materials with thermoelectric figure of merit ZT 2.5 were developed. In addition, in order to more fundamentally prevent the formation of oxides, a purification and reduction process of tin used in synthesis was performed. Samples synthesized using this showed a very low oxide content, and had a lower lattice thermal conductivity than single crystal SnSe. By improving the electrical conductivity and power factor through doping of Na, the power factor was significantly improved. As a result, the cause of thermal conductivity of SnSe higher than that of single crystal was found experimentally and theoretically, and ZT 3.0 having the highest thermoelectric performance among the thermoelectric materials reported so far was developed. In this thesis, various elements and vacancy were introduced into polycrystalline SnSe. The understanding of the material as a whole was improved by confirming the change in its thermoelectric performance and the microstructure of the material. In addition, the performance difference between single crystal and polycrystalline SnSe was overcome through the element purification, ball mill, and reduction processes. Since this strategy can be applied to all thermoelectric materials, it can contribute to improving the performance not only of tin selenide, but also of the overall thermoelectric material field.์ธ๊ตฌ์˜ ๊ธ‰๊ฒฉํ•œ ์ฆ๊ฐ€์™€ ํ™”์„์—ฐ๋ฃŒ๊ฐ€ ์ ์  ๊ณ ๊ฐˆ๋จ์— ๋”ฐ๋ผ ์ „ ์„ธ๊ณ„์ ์œผ๋กœ ์ƒˆ๋กœ์šด ์—๋„ˆ์ง€์›์— ๋Œ€ํ•œ ์ˆ˜์š”๊ฐ€ ๊ธ‰์ฆํ•˜๊ณ  ์žˆ๋‹ค. ์ด๋ ‡๊ฒŒ ์ƒ์‚ฐ๋˜๋Š” ์—๋„ˆ์ง€ ์ค‘ 60% ์ด์ƒ์ด ํ์—ด์˜ ํ˜•ํƒœ๋กœ ๋‚ญ๋น„๋˜๊ณ  ์žˆ๋‹ค. ์—ด์ „ ๊ธฐ์ˆ ์€ ์—ด์—๋„ˆ์ง€๋ฅผ ์ „๊ธฐ์—๋„ˆ์ง€๋กœ ๋ณ€ํ™˜์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ๊ธฐ์ˆ ๋กœ, ๋ฒ„๋ ค์ง€๋Š” ํ์—ด์„ ์ „๊ธฐ์—๋„ˆ์ง€๋กœ ์‚ฌ์šฉํ•  ์ˆ˜ ์žˆ๊ธฐ ๋•Œ๋ฌธ์— ์ฐจ์„ธ๋Œ€ ์นœํ™˜๊ฒฝ ์—๋„ˆ์ง€์›์œผ๋กœ ๋งŽ์€ ๊ฐ๊ด‘์„ ๋ฐ›๊ณ  ์žˆ๋‹ค. ํ•ด๋‹น ๊ธฐ์ˆ ์˜ ์ƒ์šฉํ™”, ์‹ค์šฉํ™”๋ฅผ ์œ„ํ•ด์„œ ํ˜„์žฌ ๊ฐ€์žฅ ๋ฌธ์ œ๊ฐ€ ๋˜๋Š” ๊ฒƒ์€ ์—ด์ „ ์†Œ์žฌ์˜ ๋‚ฎ์€ ์„ฑ๋Šฅ์ด๋‹ค. ๊ธฐ์กด์— ๊ฐ€์žฅ ๋งŽ์ด ์—ฐ๊ตฌ๋œ ๋น„์Šค๋ฌด์Šค ํ…”๋ฃจ๋ผ์ด๋“œ, ๋ฆฌ๋“œ ํ…”๋ฃจ๋ผ์ด๋“œ์™€ ๊ฐ™์€ ์—ด์ „ ์†Œ์žฌ๋Š” ๋‹ค์–‘ํ•œ ์ „๋žต์„ ํ†ตํ•ด ๋†’์€ ์—ด์ „์„ฑ๋Šฅ์„ ๋ณด์ด๊ณ  ์žˆ์œผ๋‚˜ ๋…์„ฑ์ด ์žˆ๋Š” ๋ฆฌ๋“œ ๋˜๋Š” ๋งค์šฐ ๊ฐ’๋น„์‹ผ ํ…”๋ฃจ๋ฅจ๊ณผ ๊ฐ™์€ ์›์†Œ๋ฅผ ์ง€๋‹ˆ๊ณ  ์žˆ์–ด ํ•œ๊ณ„๋ฅผ ์ง€๋‹ˆ๊ณ  ์žˆ๋‹ค. ๋ณธ ํ•™์œ„๋…ผ๋ฌธ์€ ๋‹ค์–‘ํ•œ ์—ด์ „ ์†Œ์žฌ ์ค‘, ์นœํ™˜๊ฒฝ์ธ ์†Œ์žฌ์ธ ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ์˜ ์—ด์ „ ์„ฑ๋Šฅ ํ–ฅ์ƒ ์—ฐ๊ตฌ์— ๋Œ€ํ•ด ๋…ผ์˜ ํ•˜๊ณ ์ž ํ•œ๋‹ค. ์ฒซ๋ฒˆ์งธ๋กœ ๋‹ค๊ฒฐ์ • ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ์— ๋ฆฌ๋“œ์…€๋ ˆ๋‚˜์ด๋“œ ๋ฐ ์†Œ๋“์„ ๋„์ž…ํ•˜์˜€๋‹ค. ๋ฆฌ๋“œ์…€๋ ˆ๋‚˜์ด๋“œ์˜ ํ•ฉ๊ธˆํ™”๋ฅผ ํ†ตํ•ด 780 K ๋ถ€๊ทผ์—์„œ ์ผ์–ด๋‚˜๋Š” Pnma์˜ ๊ฒฐ์ •๊ตฌ์กฐ์—์„œ Cmcm์˜ ๊ฒฐ์ •๊ตฌ์กฐ๋กœ์˜ ์ƒ์ „์ด ์˜จ๋„๊ฐ€ ๊ฐ์†Œํ•˜๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋˜ํ•œ ์†Œ๋“์„ ๋„์ž…ํ•˜์—ฌ ์ตœ์ ์˜ ์บ๋ฆฌ์–ด ๋†๋„๋ฅผ 10์˜ 19์Šน ์ˆ˜์ค€์œผ๋กœ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ์ตœ์ ํ™”๋œ ์บ๋ฆฌ์–ด ๋†๋„์™€ ๋‚ฎ์•„์ง„ ์ƒ ์ „์ด ์˜จ๋„์— ์˜ํ•ด ํ–ฅ์ƒ๋œ ์ „๊ธฐ์ „๋„๋„ ๋ฐ ํŒŒ์›ŒํŒฉํ„ฐ๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ๋˜ํ•œ ๋ฆฌ๋“œ ์…€๋ ˆ๋‚˜์ด๋“œ์˜ ๋„์ž…์€ ๊ณ ์šฉ์ฒด๋ฅผ ํ˜•์„ฑํ•œ๋‹ค๊ณ  ์—ฌ๊ฒจ์ง€๋˜ ๊ธฐ์กด์˜ ์ƒํƒœ๋„์˜ ์ •๋ณด์™€ ๋‹ค๋ฅด๊ฒŒ ๋‚˜๋…ธ๊ตฌ์กฐ๋ฅผ ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ ์†Œ์žฌ ๋‚ด์— ํ˜•์„ฑํ•จ์„ ์ˆ˜์ฐจ๋ณด์ • ํˆฌ๊ณผ์ „์žํ˜„๋ฏธ๊ฒฝ์„ ํ†ตํ•ด ๊ด€์ฐฐํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ๋ฆฌ๋“œ ์…€๋ ˆ๋‚˜์ด๋“œ์˜ ๋„์ž…์€ ์ ์‚ฐ๋ž€ ๋ฐ ๋‚˜๋…ธ๊ตฌ์กฐ์— ์˜ํ•œ ์‚ฐ๋ž€์„ ์œ ๋ฐœํ•˜๋ฉฐ ์ด์— ์˜ํ•ด ์—ด์ „๋„๋„๊ฐ€ ๋‚ฎ์•„์ง์„ ๊ทœ๋ช…ํ•˜์˜€๋‹ค. ํŒŒ์›ŒํŒฉํ„ฐ์˜ ํ–ฅ์ƒ ๋ฐ ๊ฐ์†Œ๋œ ์—ด์ „๋„๋„์— ์˜ํ•ด Na0.01(Sn0.95Pb0.05)0.99Se์˜ ์กฐ์„ฑ์—์„œ ์•ฝ 1.2์˜ ์—ด์ „์„ฑ๋Šฅ์ง€์ˆ˜ ZT๋ฅผ ๋ณด์ด๋Š” pํ˜• ํ‹ด์…€๋ ˆ๋‚˜์ด๋“œ๊ณ„ ์†Œ์žฌ๋ฅผ ์„ฑ๊ณต์ ์œผ๋กœ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ๋‘๋ฒˆ์งธ๋กœ, ๊ฒฐํ•จ์„ ์ด์šฉํ•˜์—ฌ ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ์˜ ์—ด์ „์„ฑ๋Šฅ์„ ํ–ฅ์ƒ์‹œํ‚ค๋Š” ์—ฐ๊ตฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ์— ๊ณต๊ทน ๋ฐ ์ธ๋“์„ ๋„์ž…ํ•˜์˜€์œผ๋ฉฐ, ํ•จ๋Ÿ‰์˜ ์กฐ์ ˆ์„ ํ†ตํ•ด ๊ฐ ์ธ์ž๊ฐ€ ๋„์ž…๋จ์— ๋”ฐ๋ผ ์ „๊ธฐ์ „๋„๋„ ๋ฐ ์—ด์ „๋„๋„๊ฐ€ ๋™์‹œ์— ๊ฐ์†Œํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค. ํ•˜์ง€๋งŒ ์ธ๋“์˜ ๋„์ž…์„ ํ†ตํ•ด ์ „์ž ๋ฐด๋“œ๊ตฌ์กฐ๊ฐ€ ๋ณ€ํ™”๋˜์–ด ์ œ๋ฐฑ๊ณ„์ˆ˜๊ฐ€ ํ–ฅ์ƒ๋˜์—ˆ๊ณ  ์ด๋ฅผ ํ†ตํ•ด ํŒŒ์›ŒํŒฉํ„ฐ์˜ ๊ฐ์†Œ๋ฅผ ์ตœ์†Œํ™” ํ•˜์˜€๋‹ค. ๋‚ฎ์•„์ง„ ์—ด ์ „๋„๋„ ๋ฐ ํ–ฅ์ƒ๋œ ํŒŒ์›ŒํŒฉํ„ฐ๋ฅผ ํ†ตํ•ด Na0.01(Sn0.97In0.01)0.99Se์˜ ์กฐ์„ฑ์—์„œ ์•ฝ 2.0์˜ ์—ด์ „ ์„ฑ๋Šฅ์ง€์ˆ˜๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ๋™์ผํ•œ ์กฐ์„ฑ์ž„์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ์–ด๋‹๋ง ๊ณต์ •์„ ์ง„ํ–‰ํ•œ ๊ฒฝ์šฐ ์—ด์ „๋„๋„๊ฐ€ ๋ณด๋‹ค ๋‚ฎ์•„์ง€๋Š” ํ˜„์ƒ์„ ๋ฐœ๊ฒฌํ•˜์—ฌ ์ˆ˜์ฐจ๋ณด์ • ํˆฌ๊ณผ์ „์žํ˜„๋ฏธ๊ฒฝ์„ ํ†ตํ•ด ์–ด๋‹๋ง ์‹œ๊ฐ„์— ๋”ฐ๋ฅธ ๋ฏธ์„ธ๊ตฌ์กฐ์˜ ๋ณ€ํ™”๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ์–ด๋‹๋ง์„ ์ง„ํ–‰ํ•˜์ง€ ์•Š์€ ์†Œ์žฌ์—์„œ ๊ณต๊ทน๋“ค์ด ํด๋Ÿฌ์Šคํ„ฐ๋ฅผ ์ด๋ฃจ๋ฉฐ ๋ถ„ํฌ๋˜์–ด ์žˆ์œผ๋ฉฐ, ์–ด๋‹๋ง์ด ์ง„ํ–‰๋จ์— ๋”ฐ๋ผ ๊ณต๊ทน ํด๋Ÿฌ์Šคํ„ฐ๋“ค์ด ๋ชจ์—ฌ ์ผ์ •ํ•œ ๋ฐฉํ–ฅ์œผ๋กœ ํ—คํ…Œ๋กœ์ŠคํŠธ๋Ÿญ์ณ๋ฅผ ํ˜•์„ฑํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์‹œ๊ฐ„๋ณ„ ํˆฌ๊ณผ์ „์žํ˜„๋ฏธ๊ฒฝ ์ด๋ฏธ์ง€ ๋ฐ ์ƒ ๋ถ„์„์„ ํ†ตํ•ด ์ธ๋“ ์…€๋ ˆ๋‚˜์ด๋“œ์˜ ์ด์ข…์ƒ์ด ๋ฒŒํฌ ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ ๋‚ด์— ํ˜•์„ฑ๋˜์—ˆ์Œ์„ ํ™•์ธํ•˜์˜€์œผ๋ฉฐ ์ด๋ฅผ ํ†ตํ•ด ๋‚ฎ์•„์ง„ ์—ด์ „๋„๋„์˜ ์›์ธ์„ ๊ทœ๋ช…ํ•˜์˜€๋‹ค. ๋”๋ถˆ์–ด ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ ๋‚ด์— ๊ณต๊ทน์˜ ํ˜•์„ฑ ๋ฐ ํ—คํ…Œ๋กœ์ŠคํŠธ๋Ÿญ์ณ์˜ ๊ทœ๋ช… ๋งค์ปค๋‹ˆ์ฆ˜์„ ์ œ์‹œํ•˜์—ฌ ๋‹ค๋ฅธ ์›์†Œ์˜ ๋„์ž…์„ ํ†ตํ•œ ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ ๋ฒŒํฌ ์†Œ์žฌ ๋‚ด์˜ ๋‚˜๋…ธ๊ตฌ์กฐ์ฒด์˜ ํ˜•์„ฑ ๊ฐ€๋Šฅ์„ฑ์„ ์ œ์‹œํ•˜์˜€๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ์ง€๊ธˆ๊นŒ์ง€ ๊ทœ๋ช…๋˜์ง€ ์•Š์•˜๋˜ ๋‹จ๊ฒฐ์ • ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ์™€ ๋‹ค๊ฒฐ์ • ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ์˜ ์—ด์ „ ์„ฑ๋Šฅ ์ฐจ์ด์— ๋Œ€ํ•œ ์›์ธ์„ ๋ฐํžˆ๊ณ ์ž ํ•˜์˜€๋‹ค. ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ๋ณด๋‹ค ์•ฝ 140๋ฐฐ์˜ ์—ด์ „๋„๋„๋ฅผ ๊ฐ€์ง€๋Š” ํ‹ด ์‚ฐํ™”๋ฌผ์˜ ํ˜•์„ฑ์„ ๋‹ค๊ฒฐ์ •์˜ ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ์˜ ๋†’์€ ์—ด์ „๋„๋„์˜ ์›์ธ์ž„์„ ์ˆ˜์ฐจ๋ณด์ • ํˆฌ๊ณผ์ „์žํ˜„๋ฏธ๊ฒฝ์„ ํ†ตํ•ด ํ™•์ธํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ•ด๊ฒฐํ•˜๊ณ ์ž ๋ณผ๋ฐ€ ๋ฐ ํ™˜์›๊ณต์ •์„ ์ง„ํ–‰ํ•˜์˜€์œผ๋ฉฐ ๊ณต์ • ํ›„์˜ ์†Œ์žฌ์—์„œ ์‚ฐํ™”๋ฌผ์˜ ํ•จ๋Ÿ‰์ด ์ค„์–ด๋“ฆ๊ณผ ๋™์‹œ์— ๋‹จ๊ฒฐ์ • ์ˆ˜์ค€์˜ ๋‚ฎ์€ ์—ด์ „๋„๋„๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ์ด๋ฅผ ํ†ตํ•ด ์—ด์ „์„ฑ๋Šฅ์ง€์ˆ˜ ZT 2.5๋ฅผ ๊ฐ€์ง€๋Š” ์†Œ์žฌ๋ฅผ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ๋˜ํ•œ ํ•ฉ์„ฑ ์‹œ ์‚ฌ์šฉ๋˜๋Š” ํ‹ด ๋‚ด๋ถ€์˜ ํ‹ด ์‚ฐํ™”๋ฌผ์„ ์ œ๊ฑฐํ•˜๊ธฐ ์œ„ํ•ด ์ •์ œ ๋ฐ ํ™˜์›๊ณต์ •์„ ์ง„ํ–‰ํ•˜์—ฌ ๋‚ฎ์€ ์‚ฐํ™”๋ฌผ์˜ ํ•จ๋Ÿ‰์„ ๊ฐ€์ง€๋Š” ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ๋ฅผ ๊ฐœ๋ฐœํ•˜์˜€์œผ๋ฉฐ ๋‹จ๊ฒฐ์ • ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ๋ณด๋‹ค ๋‚ฎ์€ ๊ฒฉ์ž ์—ด์ „๋„๋„๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค. ๋˜ํ•œ ์†Œ๋“์˜ ๋„ํ•‘์„ ํ†ตํ•ด ์ „๊ธฐ์ „๋„๋„ ๋ฐ ํŒŒ์›ŒํŒฉํ„ฐ๋ฅผ ํ–ฅ์ƒ์‹œ์ผœ ํŒŒ์›ŒํŒฉํ„ฐ๋ฅผ ๋‹จ๊ฒฐ์ • ์ˆ˜์ค€์œผ๋กœ ํ–ฅ์ƒ์‹œ์ผฐ๋‹ค. ๊ฒฐ๊ณผ์ ์œผ๋กœ, ๋‹จ๊ฒฐ์ •์— ๋น„ํ•ด ๋†’์€ ํ‹ด์…€๋ ˆ๋‚˜์ด๋“œ์˜ ์—ด์ „๋„๋„์˜ ์›์ธ์„ ์‹คํ—˜์ , ์ด๋ก ๊ณ„์‚ฐ์ ์œผ๋กœ ๋ฐํ˜€๋‚ด์—ˆ์œผ๋ฉฐ, ์ง€๊ธˆ๊นŒ์ง€ ๋ณด๊ณ ๋œ ์—ด์ „ ์†Œ์žฌ ์ค‘ ๊ฐ€์žฅ ๋†’์€ ์—ด์ „์„ฑ๋Šฅ์ธ ZT 3.0 ๊ฐ€์ง€๋Š” ์†Œ์žฌ๋ฅผ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. ๋‹ค๊ฒฐ์ • ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ์˜ ๋‹ค์–‘ํ•œ ์›์†Œ ๋ฐ ๊ณต๊ทน์˜ ๋„์ž…์„ ํ†ตํ•ด ์—ด์ „ ์„ฑ๋Šฅ์˜ ๋ณ€ํ™” ๋ฐ ์†Œ์žฌ์˜ ๋ฏธ์„ธ๊ตฌ์กฐ ๋ณ€ํ™” ๋“ฑ์„ ํ™•์ธํ•˜์—ฌ ์†Œ์žฌ ์ „๋ฐ˜์— ๋Œ€ํ•œ ์ดํ•ด๋„๋ฅผ ๋†’์˜€์œผ๋ฉฐ, ์›์†Œ์˜ ์ •์ œ, ๋ณผ๋ฐ€ ๋ฐ ํ™˜์› ๊ณต์ •์„ ํ†ตํ•ด ๋‹จ๊ฒฐ์ •๊ณผ ๋‹ค๊ฒฐ์ • ํ‹ด์…€๋ ˆ๋‚˜์ด๋“œ์˜ ์„ฑ๋Šฅ์ฐจ์ด์˜ ์›์ธ์„ ๊ทœ๋ช…ํ•˜์˜€๋‹ค. ์ด์™€ ๊ฐ™์€ ์ „๋žต์€ ๋ชจ๋“  ์—ด์ „ ์†Œ์žฌ์— ์ ์šฉ๋  ์ˆ˜ ์žˆ์œผ๋ฏ€๋กœ ๋น„๋‹จ ํ‹ด ์…€๋ ˆ๋‚˜์ด๋“œ ๋ฟ ์•„๋‹ˆ๋ผ ์ „๋ฐ˜์ ์ธ ์—ด์ „ ์†Œ์žฌ ๋ถ„์•ผ์˜ ์„ฑ๋Šฅ ํ–ฅ์ƒ์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ๋‹ค.Chapter 1. Introduction. 1 1.1 Background. 1 1.2 Strategy for enhancing thermoelectric performance. 7 1.2.1. Enhancing the power factor. 7 1.2.1.1. Resonant level 7 1.2.1.2. Band convergence 10 1.2.2. Reducing the thermal conductivity 12 1.2.2.1 Nanostructuring. 12 1.2.2.2 Defect engineering 16 1.3 SnSe. 19 1.4 References. 24 Chapter 2. Improved thermoelectric performance of polycrystalline SnSe by controlling phase transition temperature 28 2.1 Introduction. 28 2.2 Experimental section. 32 2.3 Results and discussion. 35 2.4 Conclusion. 77 2.5 References. 78 Chapter 3. Defect engineering for high-performance SnSe thermoelectrics 83 3.1 Introduction. 83 3.2 Experimental section. 85 3.3 Results and discussion. 89 3.4 Conclusion. 130 3.5 References. 131 Chapter 4. Revealing intrinsic charge and thermal transport properties of SnSe - Removal of surface SnOx by a chemical reduction process. . 134 4.1 Introduction. 134 4.2 Experimental section. 137 4.3 Results and discussion. 139 4.4 Conclusion. 171 4.5 References. 181 Chapter 5. Revealing and removing the origin of surface SnOx: Uncovering intrinsic charge and thermal transport properties of SnSe . 187 5.1 Introduction. 187 5.2 Experimental section. 190 5.3 Results and discussion. 202 5.4 Conclusion. 237 5.5 References. 238 Bibliography. 242 Korean Abstract 244Docto

    Effects of Oral Adsorbent AST-120 (Kremezinยฎ) on the Progression of Chronic Kidney Disease

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    Purpose: AST-120 is known to delay progression of chronic kidney disease (CKD) when combined with other proven therapy. AST-120 is an oral adsorbent for uremic toxin, such as indoxyl sulfate from the gastrointestinal tract. There have been a lot of studies to show its effect in other countries, but there are few studies done in Korea yet. Methods: 195 patients were included in the study (mean age, 64ยฑ14 years; diabetes mellitus (DM), 104 patients; male, 130 patients). The patients with CKD who started AST-120 and maintained the medication for at least 6 months were enrolled. The patientsโ€™ laboratory results for 6 months before and after administrating AST-120 was surveyed. Then the rate of patientsโ€™ renal functional deterioration was compared before and after AST-120. In addition, adverse effects during the medication were surveyed. Results: There were no statistically significant differences in laboratory data between before and after AST-120 administration. But, after administrating AST-120, the renal deterioration slope has blunted significantly from -0.0123ยฑ0.0318 to -0.0013ยฑ0.0184 dL/mg/month (p<0.01) in 1/sCr and from -1.1423ยฑ 2.3906 to 0.0639ยฑ1.3825 ml/min/1.73m2/month (p<0.01) in estimated glomerular filtration rate (eGFR). There were no differences between DM and non-DM patients in the effect of AST-120, as well as ages over 70 and below 70. There were no serious adverse effects during medication. Conclusion: This study showed that AST-120 had additive effect on retarding the CKD progression when combined with established therapy regardless of DM and ages without serious adverse effects.ope

    A Case of Distal Renal Tubular Acidosis and Sjรถgrenโ€™s Syndrome in a Patient with Autoimmune Thyroiditis

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    A 52-year old woman, who had hypothyroidism associated with autoimmune thyroiditis for 5 years, was hospitalized for tingling sensation and muscle weakness of both lower extremities. Her initial laboratory findings showed severe hypokalemia, metabolic acidosis, and high titer of thyroid autoimmune antibodies. She was diagnosed of distal renal tubular acidosis by bicarbonate loading testope

    Serum Adiponectin as a Predictor for Cardiovascular Outcomes in Non-Diabetic End-Stage Renal Disease Patients

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    Purpose: Adiponectin (ADPN) has been known to protect against cardiovascular disease (CVD) in metabolic syndrome with normal renal function for its anti-inflammatory and anti-atherogenic property. However, it is still unclear whether ADPN is associated with cardiovascular outcomes in end-stage renal disease (ESRD) patients. Methods: This study included 80 non-diabetic ESRD patients [mean age, 52.8ยฑ13.7 years; dialysis duration, 67.1ยฑ52.0 months; hemodialysis (HD), 35 pts; peritoneal dialysis (PD), 45 pts] who survived for more than 3 months after the start of dialysis, and serum ADPN levels were measured at the beginning of the study. We conducted a longitudinal follow-up to evaluate the association of serum ADPN level with cardiovascular outcomes for 29.3ยฑ6.7 months. Results: ADPN was inversely correlated with fasting serum insulin (r=-0.309, p=0.006) and HOMA-IR (r=-0.321, p=0.004) in ESRD patients. In a multiple linear regression analysis adjusted for age, gender, waist to hip ratio (WHR), and HDL-cholesterol, HOMA-IR (ฮฒ=-0.880, p=0.041) was an independent factor associated with serum ADPN level. Kaplan-Meier analysis revealed that patients with higher ADPN levels (โ‰ฅ15.8 ฮผg/mL) had a significantly higher survival rate compared with lowers (<15.8 ฮผg/ mL) (p=0.032). Cox proportional hazard model adjusted for age, WHR, creatinine, CRP, and previous CVD history revealed that serum ADPN level (HR, 0.899; 95% CI, 0.818-0.987; p=0.026) was an independent determinant of cardiovascular outcomes. Conclusion: These findings suggest that lower ADPN levels independently predict cardiovascular events in non-diabetic ESRD patients.ope

    Effect of Alkaline Reduced Water on Small Intestineand Systemic Immune Responses in C57BL/6 Mice

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    ์˜์ƒ๋ช…๊ณผํ•™์ „๊ณต/์„์‚ฌ[ํ•œ๊ธ€]์•Œ์นผ๋ฆฌํ™˜์›์ˆ˜(alkaline reduced water, ARW)๋ฅผ ๊ธ‰์ดํ•˜์˜€์„ ๋•Œ ๋™๋ฌผ ์ƒ์ฒด ๋‚ด์˜ ๋ฉด์—ญ ๋ฐ ์†Œ์žฅ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์•Œ์•„๋ณด๊ณ ์ž ๋ณธ ์—ฐ๊ตฌ๋ฅผ ์‹œํ–‰ํ•˜์˜€๋‹ค. C57BL/6 ๋งˆ์šฐ์Šค์— 6์ฃผ ๋™์•ˆ ์•Œ์นผ๋ฆฌํ™˜์›์ˆ˜๋ฅผ ๊ธ‰์ดํ•œ ํ›„ ํ˜ˆ์•ก ๋‚ด ์—ผ์ฆ ๋ฐ ๋ฉด์—ญ์„ธํฌ, serological parameter, ์†Œ์žฅ ๋‚ด cytokine, ๊ทธ๋ฆฌ๊ณ  ๋น„์žฅ์—์„œ์˜ cytokine ๋ฐœํ˜„ ์ •๋„๋ฅผ ์ •์ˆ˜๋ฌผ์„ ๋จน์ธ ๋Œ€์กฐ๊ตฐ๊ณผ ๋น„๊ตํ•˜์˜€๋‹ค. ํ˜ˆ์•ก ๋‚ด ์—ผ์ฆ ๋ฐ ๋ฉด์—ญ์„ธํฌ ์ˆ˜์—์„œ ํ˜ธ์‚ฐ๊ตฌ(eosinophil, p<0.05)์™€ ํ˜ธ์ค‘๊ตฌ(neutrophil, p<0.001)๋Š” ๋Œ€์กฐ๊ตฐ์— ๋น„ํ•ด ARW๊ตฐ์—์„œ ์œ ์˜ํ•˜๊ฒŒ ๊ฐ์†Œํ•˜์˜€๊ณ , ๋ฆผํ”„๊ตฌ(lymphocyte, p<0.001)๋Š” ๋ฐ˜๋Œ€๋กœ ARW๊ตฐ์—์„œ ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. Serological parameter๋ฅผ ์ธก์ •ํ•œ ๊ฒฐ๊ณผ glutamic pyruvic transaminase(GPT, p<0.01), creatine phosphokinase(CPK, p<0.01), blood urea nitrogen(BUN)๊ณผ creatinine(p<0.001)์ด ๋Œ€์กฐ๊ตฐ์— ๋น„ํ•ด ARW๊ตฐ์—์„œ ์œ ์˜ํ•˜๊ฒŒ ๋‚ฎ์€ ์ˆ˜์น˜๋ฅผ ๋‚˜ํƒ€๋ƒˆ์œผ๋ฉฐ, Na๊ณผ Cl(p<0.001)์€ ๋Œ€์กฐ๊ตฐ์— ๋น„ํ•ด ARW๊ตฐ์—์„œ ์œ ์˜ํ•˜๊ฒŒ ๋†’์€ ์ˆ˜์น˜๋ฅผ ๋‚˜ํƒ€๋ƒˆ๋‹ค. ๋˜ํ•œ ์†Œ์žฅ์˜ ๊ฒฝ์šฐ, ARW๊ตฐ์˜ tumor necrosis factor-alpha(TNF-ฮฑ) ๋ฐœํ˜„ ์ •๋„๊ฐ€ ์œ ์˜์„ฑ์€ ์—†์—ˆ์ง€๋งŒ ๋Œ€์กฐ๊ตฐ์— ๋น„ํ•ด ๋šœ๋ ทํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€๊ณ  interleukin-4(IL-4, p<0.05)์˜ ๋ฐœํ˜„์ด ๋Œ€์กฐ๊ตฐ์— ๋น„ํ•ด ์œ ์˜ํ•˜๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€๋‹ค. ๋น„์žฅ์—์„œ์˜ cytokine mRNA ๋ฐœํ˜„์€ ๋Œ€์กฐ๊ตฐ๊ณผ ARW๊ตฐ ์‚ฌ์ด์— ๋ณ€ํ™”๋ฅผ ๋ณด์ด์ง€ ์•Š์•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ ์•Œ์นผ๋ฆฌํ™˜์›์ˆ˜๋ฅผ ๊ธ‰์ดํ•˜์˜€์„ ๋•Œ ํ˜ˆ์•ก ๋‚ด ์—ผ์ฆ ๋ฐ ๋ฉด์—ญ์„ธํฌ์™€ ํ˜ˆ์ฒญํ•™์  ์„ฑ์ƒ ๋ฐ ์†Œ์žฅ ์ ๋ง‰์— ์ž‘์šฉํ•˜์—ฌ ๋ฉด์—ญ์„ธํฌ, ํ˜ˆ์ฒญํ•™์  ์„ฑ์ƒ ๋ฐ cytokine ๋ฐœํ˜„์— ์˜ํ–ฅ์„ ์ฃผ์—ˆ๋‹ค.์ด๋ฅผ ํ†ตํ•ด ์•Œ์นผ๋ฆฌํ™˜์›์ˆ˜์˜ ์ƒ์ฒด ๋‚ด ๋ฉด์—ญ๋ฐ˜์‘๊ณผ ์žฅ๋‚ด ๋ฉด์—ญ๋ฐ˜์‘์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์€ ์•Œ์นผ๋ฆฌํ™˜์›์ˆ˜์˜ ํšจ๊ณผ์— ๋Œ€ํ•œ ๊ธฐ์ „ ๊ทœ๋ช…๊ณผ ํ•จ๊ป˜ ๊ณ„์†์ ์ธ ์—ฐ๊ตฌ๊ฐ€ ํ•„์š”ํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค. [์˜๋ฌธ]In this study, the effects of alkaline reduced water on small intestine and systemic immunity of a mouse were investigated. C57BL/6 mice were fed with conventional water (control group) or ARW (ARW group) for 6 weeks. Then the numbers of peripheral blood leukocytes, serological parameters and cytokine mRNA expression levels in small intestine and spleen of C57BL/6 mice were examined.Among the peripheral blood leukocytes, the numbers of eosinophils (p<0.05) and neutrophils (p<0.001) were decreased and those of lymphocytes (p<0.001) number were increased in the ARW group. In case of serological parameters, GPT (p<0.01), CPK (p<0.01), BUN(p<0.001) and creatinine (p<0.001) levels were decreased in ARW group, but Na and Cl levels were increased in the ARW group (p<0.001). In small intestine, the mRNA expression of IL-4 was significantly increased in the ARW group and the mRNA expression of TNF-ฮฑ was also clearly induced compared with normal control group. To the contrary, the mRNA expressions of cytokines (IL-4, IL-5, TNF-ฮฑ, IL-1ฮฒ) in spleen were not significantly changed.In conclusion, when ARW was fed on mice, it is observed that it affects to blood components, intestinal mucosa and the cells related to immune system, serological parameters, and expression of cytokine. Further study in necessary about functional effects of ARW on small intestine and systemic immune response including mechanism identification.ope

    ๋ฐ”๋‚˜๋“ ํ๋ฆ„์ „์ง€์šฉ ์ด์˜จ๊ตํ™˜๋ง‰์˜ ์ด์˜จ์„ ํƒ๋„ ํ–ฅ์ƒ์„ ์œ„ํ•œ ์ˆ ํฐํ™” PEEK/๋ฏธ์„ธ๋‹ค๊ณต์„ฑ ํ‹ฐํƒ€๋…ธ์‹ค๋ฆฌ์ผ€์ดํŠธ ์„ธ๊ณต์ถฉ์ง„ ๋ณตํ•ฉ๋ง‰์˜ ์—ฐ๊ตฌ

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์žฌ๋ฃŒ๊ณตํ•™๋ถ€, 2016. 2. ๊ณฝ์Šน์—ฝ.Titanosilicate ETS-10 has a 3D ordered microporous structure which needs two minus charge of extra-framework cations. Optimum pore size of ETS-10 and unique pore properties are useful for ion selective permeation and proton conduction through micropore. First, nanocomposite membranes of sulfonated poly(ether ether ketone) (SPEEK) and microporous titanosilicate ETS-10 are prepared with various contents by solution casting to confirm the effect of titanosilicate as an additive for vanadium redox flow battery applications. The field-emission scanning electron microscopy (FE-SEM) and energy-dispersive X-ray spectroscopy (EDS) images of the composite membrane showed the presence and the uniformity dispersion of ETS-10 in the SPEEK polymer matrix. The water uptake, ion exchange capacity, mechanical property, proton conductivity, vanadium ion permeability and VRB single cell tests of the composite membranes were characterized in detail. The proton conductivity of composite membranes with 1 wt% and 4 wt% ETS-10 loading is improved compared to neat SPEEK membrane. The vanadium permeability decrease as ETS-10 loading due to blocking effect of particles. The composite membrane with 4 wt% ETS-10 which have the highest ion selectivity showed the VRB single cell performance of coulombic efficiency (CE) 99%, voltage efficiency (VE) 80.0% and energy efficiency (EE) 79.2% at 80 mA cm-2 resulting from low vanadium permeability without proton conductivity loss. At same cell test condition, Nafion 117 membrane showed the cell performance of CE 98.8%, VE 72.4% and EE 71.4%. Furthermore, the composite membrane with 4 wt% ETS-10 exhibited high capacity retention and maintained efficiency during 100 cycles at 40 mA cm-2. The results indicated that ETS-10 particle is suitable as a permselective barrier for reducing vanadium crossover and improving cell performance. Second, to improve cycle performances of vanadium redox flow battery, PTFE-based SPEEK/ETS-10 nanocomposite membranes were prepared with various contents by pore-filling method. And same analysis were performed and characterized in detail. The thickness of pore-filled membranes are less than composite membrane series (70 m and 120 m respectively). The pore-filled membrane with 3 wt% ETS-10 showed the VRB single cell performance of CE 99.1%, VE 81.6% and EE 81.3% at 80 mA cm-2 which slightly higher than the best among composite membrane. Furthermore, the pore-filled membranes showed high capacity retention and maintained efficiency compared to Nafion 117 during 100 cycles at 40 mA cm-2. These results indicated that PTFE pore-filling method is effective for improving cyclability and cell performance.1. Introduction 1 2. Experimental 7 2.1. Materials 7 2.2. Synthesis of ETS-10 crystal 7 2.3. Preparation of SPEEK/ETS-10 membrane 8 2.4. Preparation of SPEEK/ETS-10@PTFE membrane 9 2.5. Characterization of ETS-10 10 2.5.1. Crystallinity of ETS-10 10 2.5.2. Morphology of ETS-10 11 2.6. Characterization of membrane 11 2.6.1. Membrane morphology 11 2.6.2. Physicochemical property 11 2.6.3. Mechanical strength 13 2.6.4. Proton conductivity 13 2.6.5. Vanadium permeability 13 2.7. Evaluation of membrane performance 15 2.7.1. VRB single cell test 15 3. Results and Discussion 22 3.1. Characterization of ETS-10 22 3.1.1. Crystallinity and morphology of ETS-10 22 3.1.2. Acid resistance of ETS-10 28 3.2. Characterization of SPEEK/ETS-10 membrane 30 3.2.1. Membrane morphology study 30 3.2.2. Physicochemical properties 33 3.2.3. Mechanical properties . 36 3.2.4. Proton conductivity 38 3.2.5. Vanadium permeability and ion selectivity 42 3.2.6. VRB single cell performance 47 3.3. Characterization of SPEEK/ETS-10@PTFE membrane 54 3.3.1. Membrane morphology study 54 3.3.2. Physicochemical properties 58 3.3.3. Mechanical properties 60 3.3.4. Proton conductivity 62 3.3.5. Vanadium permeability and ion selectivity 65 3.3.6. VRB single cell performance 70 4. Conclusions 77 5. References 80 6. KOREAN ABSTRACT 87Maste

    Deoxycholic acid induced modulation of colon cancer cell invasiveness

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    ์˜ํ•™๊ณผ/๋ฐ•์‚ฌ[ํ•œ๊ธ€]๊ณ ์ง€๋ฐฉ์‹์ด์— ์˜ํ•˜์—ฌ ๋Œ€์žฅ ๋‚ด ๋†๋„๊ฐ€ ์ฆ๊ฐ€ํ•˜๋Š” ๋ฐ์˜ฅ์‹œ์ฝœ๋ฆญ์‚ฐ(deoxycholic acid, DCA)์€ ๋Œ€์žฅ์—์„œ ์ข…์–‘ ์ด‰์ง„์ธ์ž๋กœ ์•Œ๋ ค์ ธ ์žˆ์œผ๋‚˜, ๋Œ€์žฅ์•”์˜ ์นจ์Šต๊ณผ ์ „์ด์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์— ๋Œ€ํ•˜์—ฌ๋Š” ์•Œ๋ ค์ง„ ๋ฐ”๊ฐ€ ์—†๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” HT-29 ๋Œ€์žฅ์•” ์„ธํฌ์ฃผ๋ฅผ ์ด์šฉํ•˜์—ฌ ๋ฐ์˜ฅ์‹œ์ฝœ๋ฆญ์‚ฐ ํˆฌ์—ฌ ํ›„ ์„ธํฌ์˜ ์นจ์Šต์„ฑ ๋ณ€ํ™”๋ฅผ ์•Œ์•„๋ณด๊ณ , ์ด๋ฅผ ๋งค๊ฐœํ•˜๋Š” ์‹ ํ˜ธ ์ „๋‹ฌ ๊ฒฝ๋กœ๋ฅผ ์•Œ์•„๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค.HT-29 ๋Œ€์žฅ์•” ์„ธํฌ์ฃผ์— ๋ฐ์˜ฅ์‹œ์ฝœ๋ฆญ์‚ฐ์„ ์‹œ๊ฐ„ ๋ฐ ๋†๋„๋ณ„(0๏ฝž80ฮผM)๋กœ ์ฒ˜๋ฆฌํ•œ ํ›„ ํ˜ˆ๊ด€๋‚ดํ”ผ์„ฑ์žฅ์ธ์ž์™€ ์ €์‚ฐ์†Œ์ฆ์œ ๋„์ธ์ž-1ฮฑ mRNA ๋ฐœํ˜„์— ๋Œ€ํ•œ ์—ญ์ „์‚ฌ ์ค‘ํ•ฉํšจ์†Œ์—ฐ์‡„๋ฐ˜์‘, ํ˜ˆ๊ด€๋‚ดํ”ผ์„ฑ์žฅ์ธ์ž ๋ฐ MMP-9์— ๋Œ€ํ•œ Western blotting, MMP-9์˜ ํ™œ์„ฑํ™” ์—ฌ๋ถ€๋ฅผ ํ‰๊ฐ€ํ•˜๊ธฐ ์œ„ํ•œ zymography, ๊ทธ๋ฆฌ๊ณ  ์„ธํฌ์˜ ์ด๋™์„ฑ ๋ณ€ํ™”๋ฅผ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•œ wound migration assay๋ฅผ ์‹œํ–‰ํ•˜์˜€๋‹ค. ๋˜ํ•œ ๋ฐ์˜ฅ์‹œ์ฝœ๋ฆญ์‚ฐ ๋งค๊ฐœ ๋Œ€์žฅ์•” ์„ธํฌ์ฃผ์˜ ์นจ์Šต์„ฑ ๋ณ€ํ™”์— ๊ด€์—ฌํ•˜๋Š” ์‹ ํ˜ธ ์ „๋‹ฌ ๊ฒฝ๋กœ๋ฅผ ์•Œ์•„๋ณด๊ธฐ ์œ„ํ•˜์—ฌ ์ด์ „์— ์•Œ๋ ค์ง„ ๋Œ€์žฅ์•” ๊ด€๋ จ ์‹ ํ˜ธ์ „๋‹ฌ ์–ต์ œ๋ฌผ์งˆ์˜ ์ „์ฒ˜๋ฆฌ ํ›„ ๋ณ€ํ™”๋ฅผ ํ™•์ธํ•˜์˜€๋‹ค.๋ฐ์˜ฅ์‹œ์ฝœ๋ฆญ์‚ฐ์€ ์ €์‚ฐ์†Œ์ฆ์œ ๋„์ธ์ž mRNA์˜ ๋ฐœํ˜„, ํ˜ˆ๊ด€๋‚ดํ”ผ์„ฑ์žฅ์ธ์ž mRNA ๋ฐ ๋‹จ๋ฐฑ ๋ฐœํ˜„, MMP-9์˜ ๋‹จ๋ฐฑ ๋ฐœํ˜„๊ณผ ํšจ์†Œ ํ™œ์„ฑ๋„, ์„ธํฌ์˜ ์ด๋™์„ฑ์„ ๋†๋„ ์˜์กด์ ์œผ๋กœ ์ฆ๊ฐ€์‹œ์ผฐ๋‹ค. ๋ฐ์˜ฅ์‹œ์ฝœ๋ฆญ์‚ฐ ์ž๊ทน ํ›„ ํ˜ˆ๊ด€๋‚ดํ”ผ์„ฑ์žฅ์ธ์ž ๋‹จ๋ฐฑ ๋ฐœํ˜„์˜ ์ฆ๊ฐ€๋Š” COX- 2์˜ ์„ ํƒ์  ์–ต์ œ์ œ์ธ NS-398, NF-kB์˜ ์–ต์ œ์ œ์ธ PDTC, ๊ทธ๋ฆฌ๊ณ  TUDC์˜ ์ „์ฒ˜๋ฆฌ๋กœ ์–ต์ œ๋˜์—ˆ๋‹ค. ๋ฐ์˜ฅ์‹œ์ฝœ๋ฆญ์‚ฐ ์œ ๋„ MMP-9์˜ ํšจ์†Œ ํ™œ์„ฑ๋„๋Š” p38 MAPK ์–ต์ œ์ œ์ธ SB203580, ERK ์–ต์ œ์ œ์ธ U0126, ๊ทธ๋ฆฌ๊ณ  PDTC์˜ ์ „์ฒ˜๋ฆฌ๋กœ ์–ต์ œ ๋˜์—ˆ์œผ๋ฉฐ, ๋ฐ์˜ฅ์‹œ์ฝœ๋ฆญ์‚ฐ์— ์˜ํ•œ ์„ธํฌ ์ด๋™์„ฑ ์ฆ๊ฐ€๋Š” protein kinase C์˜ ์–ต์ œ์ œ์ธ GF109203X์˜ ์ „์ฒ˜๋ฆฌ๋กœ ๊ฐ์†Œ๋˜์—ˆ๋‹ค.๋ฐ์˜ฅ์‹œ์ฝœ๋ฆญ์‚ฐ์€ ๋Œ€์žฅ์•” ์„ธํฌ์ฃผ์—์„œ ์—ฌ๋Ÿฌ๊ฐ€์ง€ ์‹ ํ˜ธ ์ „๋‹ฌ ๊ฒฝ๋กœ๋ฅผ ํ†ตํ•˜์—ฌ ์„ธํฌ์˜ ์นจ์Šต์„ฑ๊ณผ ํ˜ˆ๊ด€ํ˜•์„ฑ์˜ ์ž ์žฌ๋Šฅ์„ ์˜๋ฏธ ์žˆ๊ฒŒ ์ฆ๊ฐ€์‹œํ‚ด์œผ๋กœ์จ ๋Œ€์žฅ์•”์˜ ์ข…์–‘์ด‰์ง„ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ, ๋Œ€์žฅ์•”์˜ ์นจ์Šต๊ณผ ์ „์ด๋ฅผ ์ด‰์ง„ ํ•  ๊ฐ€๋Šฅ์„ฑ์„ ์ œ์‹œํ•˜์˜€๋‹ค. [์˜๋ฌธ]Deoxycholic acid(DCA), a secondary bile acid, has been long implicated to promote colon tumor growth and progression; however, the molecular mechanisms of its action are largely unknown. In this study, we investigated the effects of DCA on colon tumor cells(HT-29) proliferation, migration, and invasiveness. In addition, we assessed the effects of various signal inhibitors on DCA induced modulation of colon tumor cell invasiveness.HT-29 cells were incubated with either medium only(control) or DCA for 24๏ฝž48 hr. Time courses of RT-PCR for vascular endothelial growth factor(VEGF) and hypoxia-induced factor(HIF)-1ฮฑ mRNA expression, Western blotting for VEGF and matrix metalloproteinase(MMP)-9, zymography for MMP-9 activation, and wound- migration assay were determined after different concentrations of DCA(0๏ฝž80ฮผM) treatment. Moreover, these experiments were reassessed after pretreatments(2๏ฝž6hr) of specific inhibitors of various signal pathways.DCA enhanced HIF-1ฮฑ mRNA expression, VEGF mRNA and VEGF protein expre- ssion, MMP-9 protein expression/activation, and cell migration ability in a dose-dependent manner. DCA-induced VEGF protein expression was inhibited by pretreatment of NS-398(COX-2 inhibitor), PDTC(NF-kB inhibitor), or tauroursodeoxycholic acid(TUDC). DCA-induced cell migration ability was inhibited by pretreatment of GF109203X, a protein kinase C inhibitor. DCA-induced MMP-9 protein expression/activation was inhibited by pretreatment of SB203580, U0126, or PDTC.DCA significantly upregulates invasive and angiogenic potentials in human colon cancer cells through multiple signal transduction pathways.ope

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