47 research outputs found

    ๋น„์ƒ‰๊ณ„ ์„ผ์„œ๋กœ์„œ ์€ ๋‚˜๋…ธ์ž…์ž์˜ in-situ ํ•ฉ์„ฑ์œผ๋กœ ์œ ๋„๋œ ์นด๋ฅด๋ณต์‹œ๋ฉ”ํ‹ธ ์…€๋ฃฐ๋กœ์˜ค์Šค ๊ธˆ์†๊ฒ”์— ๊ด€ํ•œ ์—ฐ๊ตฌ

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์œตํ•ฉ๊ณผํ•™๊ธฐ์ˆ ๋Œ€ํ•™์› ๋‚˜๋…ธ์œตํ•ฉํ•™๊ณผ,2019. 8. ์ด๊ฐ•์›.A novel colorimetric sensing platform based on CMC-AgNPs metallogel was proposed to monitor the temperature history and quality of perishable products stored at low temperature. The CMC metallogel, fabricated in the presence of Ag+, incorporates ionic crosslinking of biopolymers, complexation between reactants, and subsequent in-situ synthesis of AgNPs, which are designed to lead the color of metallogel from colorless to dark brown depending on temperature and time. The metallogels and AgNPs with the material were observed by rheology, XRD, and FT-IR. Color changes associated with temperature, time, and metal ion precursors were examined by UV-visible spectroscopy and colorimetry. The longer the exposure time to abuse temperatures such as room temperature (25 ยฐC) or high temperature (60 ยฐC), the deeper the color of metallogel. The CMC-AgNPs metallogel-based sensing platform can be used as a colorimetric sensor that provides cost-effective, safe, and reliable information that indirectly records the temperature history of the product as well as a new strategy to evaluate the quality of perishable products related to time-temperature history without complicated equipment.์ตœ๊ทผ ์˜จ๋„ ์ƒ์Šน, ์•ˆ์ •์„ฑ์ด ๋ณด์ฆ๋˜์ง€ ์•Š์€ ์ฝœ๋“œ ์ฒด์ธ, ๊ทธ๋ฆฌ๊ณ  ์œ ํ†ต ๊ณผ์ • ์ค‘ ๋ณด๊ด€์ƒํƒœ ๋ถˆ๋Ÿ‰ ๋“ฑ์œผ๋กœ ์ธํ•˜์—ฌ ์ €์˜จ ์œ ํ†ต ์ œํ’ˆ์˜ ์•ˆ์ „์— ๋Œ€ํ•œ ์‚ฌํšŒ์  ๊ด€์‹ฌ๊ณผ ์šฐ๋ ค๊ฐ€ ๋†’์•„์ง€๊ณ  ์žˆ๋‹ค. ์ €์˜จ ์œ ํ†ต ์ œํ’ˆ์˜ ์ €์žฅ ๋ฐ ์œ ํ†ต๊ณผ์ •์—์„œ ๋‚ด์™ธ๋ถ€์ ์ธ ๋‹ค์–‘ํ•œ ์š”์ธ์— ์˜ํ•˜์—ฌ ๋ณตํ•ฉ์ ์ธ ํ’ˆ์งˆ ๋ณ€ํ™”๊ฐ€ ์ˆ˜๋ฐ˜๋˜๋Š”๋ฐ, ํŠนํžˆ ํ’ˆ์งˆ ๋ณ€ํ™”์—์„œ ๊ฐ€์žฅ ์ค‘์š”ํ•œ ์š”์†Œ๋Š” ์ฃผ๋กœ ํ™˜๊ฒฝ์š”์ธ์ธ ์˜จ๋„์— ์ง์ ‘์ ์ธ ์˜ํ–ฅ์„ ๋ฐ›๋Š”๋‹ค. ์ด์— ์†Œ๋น„์ž๊ฐ€ ์ œํ’ˆ์˜ ์‹ ์„ ๋„๋ฅผ ํŒ๋ณ„ํ•˜๋Š” ๊ฒƒ์„ ๋•๊ธฐ ์œ„ํ•œ ํ™•์‚ฐ, ํšจ์†Œ ๋ฐ ๊ด‘ ๋ณ€์ƒ‰์„ฑ์— ๊ธฐ์ดˆํ•œ ๋‹ค์–‘ํ•œ ์˜จ๋„ ๋ชจ๋‹ˆํ„ฐ๋ง ๊ธฐ์ˆ ์ด ์—ฐ๊ตฌ๋˜๊ณ  ์žˆ์ง€๋งŒ, ์ข…๋ž˜ ๊ธฐ์ˆ ์€ ์‹คํ—˜๋ฐฉ๋ฒ•์ด ๋ณต์žกํ•˜๊ณ  ๊ฐ’์ด ๋น„์‹ธ ์†Œ๋น„์ž๊ฐ€ ์‹ํ’ˆ์„ ๊ตฌ๋งคํ•˜๋Š” ๊ณผ์ •์—์„œ ์ด์šฉ๋˜์ง€ ๋ชปํ•œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์‹œ๊ฐ„๊ณผ ์˜จ๋„์— ๋”ฐ๋ผ ์€ ๋‚˜๋…ธ์ž…์ž์˜ ํฌ๊ธฐ ๋ฐ ์ƒ‰์ด ๋ณ€ํ™”ํ•˜๋Š” ์›๋ฆฌ์— ์˜๊ฑฐํ•˜์—ฌ ์ €์˜จ์œ ํ†ต์‹ํ’ˆ์˜ ํ’ˆ์งˆ ์ƒํƒœ๋ฅผ ์•Œ์•„๋ณด๋Š” ๋ชจ๋‹ˆํ„ฐ๋ง ์„ผ์„œ ์žฅ์น˜๋ฅผ ๊ฐœ๋ฐœํ•˜์˜€๋‹ค. Carboxymethyl cellulose(CMC)์™€ ๊ฐ™์€ ์ฒœ์—ฐ๊ณ ๋ถ„์ž ๋ฐ ๋‚˜๋…ธ์ž…์ž๋ฅผ ์ด์šฉํ•˜์—ฌ ์ €์˜จ์—์„œ ๋ณด๊ด€ํ•˜๋Š” ๋ถ€ํŒจํ•˜๊ธฐ ์‰ฌ์šด ์ œํ’ˆ์˜ ์˜จ๋„ ์ด๋ ฅ ๋ฐ ํ’ˆ์งˆ์„ ๋ชจ๋‹ˆํ„ฐ๋งํ•˜๊ธฐ ์œ„ํ•ด CMC-AgNPs ๊ธˆ์†๊ฒ”์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•˜๋Š” ์ƒˆ๋กœ์šด ๋น„์ƒ‰๊ณ„ ์„ผ์‹ฑ ํ”Œ๋žซํผ์ด ์ œ์•ˆ๋˜์—ˆ๋‹ค. Ag+ ์ด์˜จ์˜ ์กด์žฌ ํ•˜์—์„œ ์ œ์กฐ๋œ CMC ๊ธˆ์†๊ฒ”์€ ์ƒ์ฒด ๊ณ ๋ถ„์ž์˜ ์ด์˜จ ๊ฐ€๊ต ๊ฒฐํ•ฉ๊ณผ ๋ฐ˜์‘๋ฌผ ์‚ฌ์ด์˜ ๋ณตํ•ฉ์ฒด ํ˜•์„ฑ, ๊ทธ๋ฆฌ๊ณ  ์˜จ๋„์™€ ์‹œ๊ฐ„์— ์˜์กดํ•˜์—ฌ ๋ฌด์ƒ‰์—์„œ ์•”๊ฐˆ์ƒ‰์œผ๋กœ ๊ธˆ์†๊ฒ”์˜ ์ƒ‰์„ ์ด๋Œ๋„๋ก ๊ณ ์•ˆ๋œ ์€ ๋‚˜๋…ธ์ž…์ž์˜ in-situ ํ•ฉ์„ฑ์„ ํ†ตํ•ฉํ•œ๋‹ค. ์ƒ์„ฑ๋œ ๊ธˆ์†๊ฒ”๊ณผ ์€ ๋‚˜๋…ธ์ž…์ž๋Š” ์œ ๋ณ€ํ•™, XRD ๋ฐ FT-IR์— ์˜ํ•ด ๊ด€์ฐฐ๋˜์—ˆ๋‹ค. ๋˜ํ•œ ์˜จ๋„, ์‹œ๊ฐ„ ๋ฐ ๊ธˆ์† ์ด์˜จ ์ „๊ตฌ์ฒด์˜ ๋†๋„์— ๋”ฐ๋ฅธ ์ƒ‰ ๋ณ€ํ™”๋Š” ์ž์™ธ์„  ๊ฐ€์‹œ ๋ถ„๊ด‘๋ฒ• (UV-vis)๊ณผ ๋น„์ƒ‰๋ฒ•์œผ๋กœ ์กฐ์‚ฌํ•˜์˜€๋‹ค. CMC-AgNPs ๊ธˆ์†๊ฒ”์€ AgNO3์˜ ๋น„์œจ์ด 30% (v/v) ์ผ ๋•Œ, ํƒ„์„ฑ ๊ณ„์ˆ˜๊ฐ€ 19.47 ยฑ 0.71 Pa๋กœ ํƒ„์„ฑ ๊ณ„์ˆ˜๊ฐ€ 0.29 ยฑ 0.14 Pa์ธ CMC ์šฉ์•ก๊ณผ ๋น„๊ตํ•˜์—ฌ ์•ฝ 67.1๋ฐฐ ์ฆ๊ฐ€ํ•˜์—ฌ ๊ฒ”์ด ์œ ์˜๋ฏธํ•˜๊ฒŒ ์ƒ์„ฑ๋˜์—ˆ๋‹ค. ๋˜ํ•œ CMC๋Š” ์€ ์ด์˜จ ์ „๊ตฌ์ฒด์— ๋Œ€ํ•˜์—ฌ ์„ ํƒ์ ์œผ๋กœ ๋น„์ƒ‰๊ณ„ ํŠน์„ฑ์„ ์ง€๋‹Œ ๊ธˆ์† ๊ฒ”์„ ํ˜•์„ฑํ•˜์˜€๋‹ค. FT-IR ์ŠคํŽ™ํŠธ๋Ÿผ์„ ํ†ตํ•ด ๊ธˆ์† ๊ฒ” ํ˜•์„ฑ์— ๊ด€์—ฌํ•˜๋Š” CMC์˜ ์ž‘์šฉ๊ธฐ๋ฅผ ์ž…์ฆํ•˜์˜€์œผ๋ฉฐ, XRD ํ”ผํฌ๋Š” ์€ ๋‚˜๋…ธ์ž…์ž์˜ ๊ฒฐ์ • ๊ตฌ์กฐ์™€ ์ผ์น˜ํ•˜์˜€๋‹ค. UV-vis ํก์ˆ˜ ์ŠคํŽ™ํŠธ๋Ÿผ์„ ํ†ตํ•ด ์–ป์€ 410nm ํ”ผํฌ๋Š” ๊ธˆ์† ๊ฒ” ๋‚ด๋ถ€์— ํ˜•์„ฑ๋œ ์€ ๋‚˜๋…ธ์ž…์ž์˜ LSPR ํŠน์„ฑ๊ณผ ์ƒ์‘ํ•˜์˜€๋‹ค. ๊ธˆ์†๊ฒ”์— in-situ๋กœ ํ•ฉ์„ฑ๋œ ์€ ๋‚˜๋…ธ์ž…์ž์˜ ๊ตฌ์กฐ ๋ฐ ํฌ๊ธฐ๋Š” ์˜จ๋„์— ๋”ฐ๋ผ HR-TEM ํ˜„๋ฏธ๊ฒฝ์œผ๋กœ ๊ด€์ฐฐ๋˜์—ˆ๋‹ค. ์‹ค๋‚ด ์˜จ๋„ (25 โ„ƒ)์—์„œ ํ•ฉ์„ฑ๋œ ์€ ๋‚˜๋…ธ์ž…์ž์˜ ํฌ๊ธฐ ๋ถ„ํฌ๋Š” 19.84 ยฑ 14.99 nm์ด๋ฉฐ ๊ท ์ผํ•˜๊ฒŒ ๋ถ„์‚ฐ๋œ ๊ตฌํ˜•์˜ ํ˜•ํƒœ๋ฅผ ๊ฐ€์ง€๋Š” ๋ฐ˜๋ฉด, ๊ณ ์˜จ (60 โ„ƒ)์—์„œ ์ƒ์„ฑ๋œ ์€ ๋‚˜๋…ธ์ž…์ž๋Š” ๋‚˜๋…ธ์ž…์ž๊ฐ€ ๊ณต์กดํ•˜์—ฌ 80-120 nm์˜ ํฌ๊ธฐ๋ฅผ ๊ฐ€์กŒ๋‹ค. ๊ธˆ์†๊ฒ” ๋‚ด์—์„œ ํ•ฉ์„ฑ๋œ ์€ ๋‚˜๋…ธ์ž…์ž๋Š” ์‹œ๊ฐ„๊ณผ ์˜จ๋„์— ์˜์กด์ ์œผ๋กœ ์˜…์€ ๋…ธ๋ž€์ƒ‰์—์„œ ํ™ฉ์ƒ‰, ๊ทธ๋ฆฌ๊ณ  ์ง™์€ ๊ฐˆ์ƒ‰๊นŒ์ง€์˜ ๋ˆˆ์œผ๋กœ ๊ฐ์ง€ํ•  ์ˆ˜ ์žˆ๋Š” ์ƒ‰์˜ ๋ณ€ํ™”๋ฅผ ๋‚˜ํƒ€๋‚ธ๋‹ค. ์‹ค๋‚ด ์˜จ๋„ (25 โ„ƒ) ๋˜๋Š” ๊ณ ์˜จ (60 โ„ƒ)๊ณผ ๊ฐ™์€ ์ ์ ˆํ•˜์ง€ ์•Š์€ ๋ณด๊ด€ ์˜จ๋„์— ๋Œ€ํ•œ ๋…ธ์ถœ ์‹œ๊ฐ„์ด ๊ธธ์–ด์งˆ ์ˆ˜๋ก, ๊ธˆ์† ๊ฒ”์˜ ์ƒ‰์ƒ์€ ๋”์šฑ ์ง„ํ•ด์กŒ์œผ๋ฉฐ, ์ด๋Š” L*, a*, b* ๊ฐ’์„ ํ†ตํ•ด ์–ป์–ด์ง„ total color difference (TCD)๊ฐ’์˜ ์ฆ๊ฐ€๋ฅผ ํ†ตํ•˜์—ฌ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. CMC-AgNPs ๊ธˆ์†๊ฒ” ๊ธฐ๋ฐ˜์˜ ์„ผ์‹ฑ ํ”Œ๋žซํผ์€ ๊ตฌ์กฐ๊ฐ€ ๋‹จ์ˆœํ•˜๊ณ  ์ „์› ๋“ฑ์˜ ์™ธ๋ถ€ ๊ตฌ์กฐ๋ฅผ ํ•„์š”๋กœ ํ•˜์ง€ ์•Š์•„ ์ €๋น„์šฉ์œผ๋กœ ์ œ์ž‘์ด ๊ฐ€๋Šฅํ•˜๋ฉฐ ์†Œํ˜•ํ™”๊ฐ€ ์šฉ์ดํ•˜์—ฌ ํœด๋Œ€์šฉ์œผ๋กœ ์ œ์ž‘ํ•˜๊ฑฐ๋‚˜ ์œ ํ†ต์‹ํ’ˆ์— ํƒˆ ๋ถ€์ฐฉํ•˜๋Š” ํ˜•ํƒœ๋กœ ์ œ์ž‘์ด ๊ฐ€๋Šฅํ•˜๋‹ค. ํŠนํžˆ ์€ ๋‚˜๋…ธ์ž…์ž์˜ ์ƒ์„ฑ ๋น„์œจ๊ณผ ์‘์ง‘์ƒํƒœ๋ฅผ ์ ์ ˆํžˆ ์กฐ์ ˆํ•˜์—ฌ, ๋‹ค์–‘ํ•œ ์ €์žฅ ๋ฐ ์œ ํ†ต ์˜จ๋„๋ฅผ ๊ฑฐ์น˜๋Š” ๋‹ค์–‘ํ•œ ์ œํ’ˆ๊ตฐ์— ํ™œ์šฉ๋  ์ˆ˜ ์žˆ๋‹ค. ๋˜ํ•œ ๋ณต์žกํ•œ ์‚ฌ์šฉ๋ฒ•์„ ์ˆ™์ง€ํ•  ํ•„์š” ์—†์ด ๋ฌผ๋ฆฌ์ ์ธ ๋™์ž‘๋งŒ์œผ๋กœ ์‰ฝ๊ฒŒ ํ™œ์„ฑํ™” ํ•  ์ˆ˜ ์žˆ๊ณ  ์œก์•ˆ์œผ๋กœ ๊ด€์ธก๋˜๋Š” ์ƒ‰์ƒ๋งŒ์œผ๋กœ ์‹ํ’ˆ์˜ ๋ณ€์งˆ ์œ ๋ฌด ํŒŒ์•…์ด ๊ฐ€๋Šฅํ•˜๋ฏ€๋กœ ์ง๊ด€์ ์ด๋ผ๋Š” ์žฅ์ ์ด ์žˆ๋‹ค. ํ™˜์›์ œ๋‚˜ ์•ˆ์ •์ œ๋กœ์„œ ํ™”ํ•™๋ฌผ์งˆ์ด ์ฒจ๊ฐ€๋˜์ง€ ์•Š์•„ ๋…์„ฑ์ด ์—†์œผ๋ฉฐ, TTI๊ฐ€ ํŒŒ์†๋˜์–ด ๊ตฌ์„ฑ ๋ฌผ์งˆ์ด ๋ˆ„์ถœ๋˜์—ˆ์„ ๊ฒฝ์šฐ์—๋„ ์ธ์ฒด์— ๋น„๊ต์  ํ•ด๋กญ์ง€ ์•Š์€ ๋ฌผ์งˆ๋งŒ์œผ๋กœ ๊ตฌ์„ฑ๋˜์–ด ์žˆ์–ด ๋น„๊ต์  ํ™˜๊ฒฝ ์นœํ™”์ ์ด๋‹ค. ํ•ด๋‹น TTI ์„ผ์„œ๋Š” ๋น„์šฉ ์ ˆ๊ฐ, ํœด๋Œ€์„ฑ ๋ฐ ๋‹จ์ˆœ์„ฑ์˜ ํŠน์ง•์„ ๊ฐ€์ง€๋ฏ€๋กœ ์ €์˜จ์œ ํ†ต์‹ํ’ˆ์˜ ์•ˆ์ „ํ•œ ์œ ํ†ต๊ด€๋ฆฌ ์ •์ฐฉ, ํ๊ธฐ๋ฌผ ๊ฐ์†Œ ๋ฐ ์‹์ค‘๋…์˜ ์‚ฌ์ „ ์˜ˆ๋ฐฉ ๋“ฑ์˜ ์‚ฌํšŒ์  ๋น„์šฉ์„ ๊ฐ์†Œ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋Š” ์ด์ ์„ ๊ฐ€์งˆ ๊ฒƒ์ด๋ฉฐ, ๋‚˜๋…ธ๊ธฐ์ˆ ๊ณผ TTI ๊ธฐ์ˆ ์˜ ์ ‘๋ชฉ์€ ํ–ฅํ›„ TTI ์‚ฐ์—… ์„ฑ์žฅ์˜ ์ƒˆ๋กœ์šด ํŒจ๋Ÿฌ๋‹ค์ž„์„ ๋งˆ๋ จํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์ด๋‹ค.Chapter 1. Introduction 8 1.1. Motivation 8 1.2. Time-temperature indicator 10 1.3. Food nanotechnology 12 Chapter 2. Experiment 15 2.1. Materials 15 2.2. Preparation of CMC-AgNPs metallogels 15 2.3. Characterization of AgNPs 16 2.4. Colorimetric sensing of CMC-AgNPs metallogels 17 Chapter 3. Results and Discussion 18 3.1. Biopolymer-metal nanoparticle metallogels 18 3.2. The colorimetric transition of silver nanoparticles depending on time and temperature 28 3.3. Evaluation of color expression of CMC-AgNPs metallogels as a colorimetric sensor 34 Chapter 4. Conclusion 40 References 41 Abstract in Korean 46Maste

    ํ˜‘๋ ฅํ•™์Šต์—์„œ ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ์ด ๊ณผ์ œ์ฐธ์—ฌ ๋ฐ ํ•™์Šตํƒœ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์‚ฌ๋ฒ”๋Œ€ํ•™ ๊ต์œกํ•™๊ณผ(๊ต์œกํ•™์ „๊ณต), 2019. 2. ์‹ ์ข…ํ˜ธ.๋ณธ ์—ฐ๊ตฌ๋Š” ํ˜‘๋ ฅํ•™์Šต์—์„œ ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ์ด ๊ณผ์ œ์ฐธ์—ฌ์™€ ํ•™์Šตํƒœ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ํ™•์ธํ•˜๊ธฐ ์œ„ํ•œ ๋ชฉ์ ์œผ๋กœ ์ˆ˜ํ–‰๋˜์—ˆ๋‹ค. ๊ฒฝ๊ธฐ๋„ ์†Œ์žฌ ์ดˆ๋“ฑํ•™๊ต 5ํ•™๋…„ ํ•™์ƒ 217๋ช…์ด ์—ฐ๊ตฌ์— ์ฐธ์—ฌํ•˜์˜€๊ณ  ์ค€ ์‹คํ—˜์„ค๊ณ„ ๋ฐฉ์‹์— ๋”ฐ๋ผ ์ด 8๊ฐœ์˜ ํ•™๊ธ‰์„ ์‹คํ—˜์ง‘๋‹จ๊ณผ ํ†ต์ œ์ง‘๋‹จ์— ๊ฐ๊ฐ 4ํ•™๊ธ‰์”ฉ ๋ฌด์„  ํ• ๋‹นํ•˜์—ฌ ํ•™๊ธ‰๋ณ„๋กœ 3ํšŒ์˜ ํ˜‘๋ ฅํ•™์Šต์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ์‹คํ—˜์ง‘๋‹จ์€ ๋ชฉํ‘œ์ œ์‹œ ๋ฐ ํ‰๊ฐ€ ๋‹จ๊ณ„์—์„œ ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ๊ณผ ๊ด€๋ จ๋œ ์‹คํ—˜ ์ฒ˜์น˜๋ฅผ ๊ฐ€ํ•˜์˜€๊ณ  ํ†ต์ œ์ง‘๋‹จ์€ ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ๊ณผ ๊ด€๋ จ๋œ ์ฒ˜์น˜๋ฅผ ํ•˜์ง€ ์•Š์•˜๋‹ค. ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ์„ ๊ฐœ์ฒด ๊ฐ„ ์š”์ธ(between-subjects), ์ธก์ • ์‹œ๊ธฐ๋ฅผ ๊ฐœ์ฒด ๋‚ด ์š”์ธ(within-subjects)์œผ๋กœ ํ•œ ํ˜ผํ•ฉ์„ค๊ณ„ ๋ถ„์‚ฐ๋ถ„์„(1B1W mixed ANOVA)์„ ์‹ค์‹œํ•œ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๊ณผ์ œ์ฐธ์—ฌ์— ๋Œ€ํ•œ ๊ฒฝ์Ÿ๊ณผ ์‹œ๊ฐ„์˜ ์ƒํ˜ธ์ž‘์šฉ ํšจ๊ณผ๊ฐ€ ์œ ์˜ํ•œ ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋น„๊ฒฝ์Ÿ ์กฐ๊ฑด์—์„œ ํ•™์Šต์— ์ฐธ์—ฌํ•œ ๊ฒฝ์šฐ ๊ณผ์ œ์ฐธ์—ฌ๊ฐ€ ์ ์ฐจ ์ฆ๊ฐ€ํ•œ ๋ฐ˜๋ฉด ๊ฒฝ์Ÿ ์กฐ๊ฑด์—์„œ ํ•™์Šตํ•œ ๊ฒฝ์šฐ ๋น„๋ก ๋ณ€ํ™” ์ถ”์ด๊ฐ€ ์œ ์˜ํ•˜์ง€๋Š” ์•Š์œผ๋‚˜ ๊ณผ์ œ์ฐธ์—ฌ๊ฐ€ ๊ฐ์†Œํ•˜๋Š” ๊ฒฝํ–ฅ์ด ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋‘˜์งธ, ํ•™์Šต ํƒœ๋„ ์ค‘ ํ˜‘๋ ฅํ•™์Šต ์„ ํ˜ธ๋„๋Š” ๊ฒฝ์Ÿ๊ณผ ์‹œ๊ฐ„์˜ ์ƒํ˜ธ์ž‘์šฉ ํšจ๊ณผ๊ฐ€ ์œ ์˜ํ•˜์˜€๋‹ค. ์ง‘๋‹จ ๊ฐ„ ์„ฑ์ทจ๋„๋ฅผ ๋น„๊ตํ•˜์ง€ ์•Š์„ ๋•Œ ํ˜‘๋ ฅํ•™์Šต์— ๋Œ€ํ•œ ์„ ํ˜ธ๋„๊ฐ€ ์ ์ฐจ ๋†’์•„์ง„ ๋ฐ˜๋ฉด ์„ฑ์ทจ๋„๋ฅผ ๋น„๊ตํ•˜๋Š” ์ƒํ™ฉ์—์„œ๋Š” ์„ ํ˜ธ๋„์— ์œ ์˜๋ฏธํ•œ ๋ณ€ํ™”๊ฐ€ ์—†์—ˆ๋‹ค. ๋‚ด์žฌ๋™๊ธฐ๋Š” ๊ฒฝ์Ÿ๊ณผ ์‹œ๊ฐ„์˜ ์ƒํ˜ธ์ž‘์šฉ ํšจ๊ณผ๊ฐ€ ์œ ์˜ํ•˜์ง€ ์•Š์•˜๋˜ ๋Œ€์‹  ์‹œ๊ฐ„์˜ ์ฃผ ํšจ๊ณผ๊ฐ€ ๋†’๊ฒŒ ์ถ”์ •๋˜์—ˆ๋‹ค. ๋”ฐ๋ผ์„œ ํ•™์Šต์ด ์ง„ํ–‰๋˜๋Š” ๋™์•ˆ ๋‚ด์žฌ๋™๊ธฐ๊ฐ€ ํฌ๊ฒŒ ์ฆ๊ฐ€ํ•˜์˜€์œผ๋‚˜ ์ด๋•Œ ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ์˜ ์œ ๋ฌด๋Š” ๋‚ด์žฌ๋™๊ธฐ ๋ณ€ํ™”์— ์˜ํ–ฅ์„ ๋ฏธ์น˜์ง€ ๋ชปํ•˜์˜€๋‹ค๊ณ  ๋ณผ ์ˆ˜ ์žˆ๋‹ค. ์…‹์งธ, ๊ณต๋™์กฐ์ ˆ๊ณผ ํ˜‘๋ ฅํ•™์Šต ์„ ํ˜ธ๋„๋Š” ๊ฒฝ์Ÿ๊ณผ ์‹œ๊ฐ„์˜ ์ƒํ˜ธ์ž‘์šฉ ํšจ๊ณผ๋Š” ๋ฌผ๋ก  ๊ฒฝ์Ÿ์˜ ์ฃผ ํšจ๊ณผ๋„ ์œ ์˜ํ•˜์˜€๋‹ค. ์ฆ‰ ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ์ด ์กด์žฌํ•จ์œผ๋กœ์จ ์†Œ์ง‘๋‹จ ๋‚ด์—์„œ ์„œ๋กœ์˜ ํ•™์Šต์„ ๋”์šฑ ์ ๊ทน์ ์œผ๋กœ ๋„์™”๊ณ , ํ˜‘๋ ฅํ•™์Šต์— ๋Œ€ํ•ด ํฅ๋ฏธ๋กญ๊ฒŒ ์ธ์‹ํ•œ ๊ฒƒ์œผ๋กœ ํ•ด์„ํ•ด๋ณผ ์ˆ˜ ์žˆ๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๊ฒฝ์Ÿ์กฐ๊ฑด์—์„œ ๊ณต๋™์กฐ์ ˆ์€ ์ ์ฐจ ๊ฐ์†Œํ•˜๋Š” ๊ฒฝํ–ฅ์ด ํ™•์ธ๋˜์—ˆ๊ณ , ๋งˆ์ง€๋ง‰ ํšŒ๊ธฐ์—์„œ ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ์œ ๋ฌด์— ๋”ฐ๋ฅธ ์ง‘๋‹จ์ฐจ์ด๊ฐ€ ์œ ์˜ํ•˜์ง€ ์•Š์•˜์œผ๋ฏ€๋กœ ํ˜‘๋ ฅํ•™์Šต ์ƒํ™ฉ์—์„œ ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ์ด ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์€ ๋ณด๋‹ค ์žฅ๊ธฐ์ ์ธ ๊ด€์ ์—์„œ ์ดํ•ด๋˜์–ด์•ผ ํ•  ํ•„์š”๊ฐ€ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ํ˜‘๋ ฅํ•™์Šต์—์„œ ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ์ด ๋ฏธ์น˜๋Š” ์˜ํ–ฅ์„ ์ข…๋‹จ์ ์œผ๋กœ ์‚ดํŽด๋ณด๊ณ , ๊ณผ์ œ์ฐธ์—ฌ์™€ ํ•™์Šตํƒœ๋„์˜ ๊ธ์ •์  ๋ณ€ํ™”๋ฅผ ์ด๋Œ ์ˆ˜ ์žˆ๋Š” ์ˆ˜์—… ๋ฐฉ์•ˆ์„ ์ œ์‹œํ•˜์˜€๋‹ค๋Š” ์ ์—์„œ ๊ต์œก์ , ์‹ค์ฒœ์  ์˜์˜๊ฐ€ ์žˆ๋‹ค.The purpose of this study is to find out how task engagement and learning attitude change according to the intergroup competition in collaborative learning. In order to examine the effect of group competition, co-regulation and task contribution are used as indicators of task engagement. As indicators of learning attitude, intrinsic motivation and preference for collaborative learning were used. This study hypothesizes that task engagement and learning attitude could decrease in intergroup competition but increase in non-intergroup competition condition. In this study, 217 5th grade elementary students who live in Gyeonggi-do participated. This study was conducted based on a quasi-experimental design due to practical constraints and conditions. In order to investigate the change of task engagement and learning attitude, three times of collaborative learning was conducted in each class. Experimental group was experimentally related to intergroup competition in goal presentation and evaluation stage of collaborative learning lesson, and control group did not take any action related to intergroup competition. In the analysis stage, a mixed ANOVA was conducted with intergroup competition as between subjects and times as within-subjects. The results of this study are as follows. First, task engagement was significantly increased when there was no competition among groups, but when there was competition between groups, it tended to decrease although not significant. Therefore, it is more effective not to apply intergroup competition to promote learner engagement and increase frequency of cooperative behaviors in small group. Second, interaction effect of competition and time on the preference of collaborative learning among learning attitude was significant. When there was no competition between groups, the preference for collaborative learning continued to increase, but when there was competition between groups, the change was not significant. On the other hand, in the case of intrinsic motivation, the interaction effect of competition and time was not significant, but the main effect of time was significant and the effect size were very large. Therefore, intrinsic motivation was significantly increased during cooperative learning, and the intergroup competition did not affect intrinsic motivation. The results of this study indicate that collaborative learning is effective for intrinsic motivation. In addition, it can be found from the viewpoint of selfโ€“determination theory that motivation is not degraded if externally regulated learning is shared with the necessity and importance of task. Third, some positive effects of group competition were found. The main effect of the competition was significant in co-regulation and preference of collaborative learning, and higher values were observed at all time points than nonโ€“competitive conditions. This results canbe interpreted that intergroup competition affects the co-regulation and preference of collaborative learning more. As the need for collaborative problem solving skills is emphasized, a variety of collaborative learning strategies are being used in recent educational settings. The results of this study suggest that the lesson should be designed considering the complex and long-term effects on student attitudes as well as student involvement in the use of instructional strategies such as intergroup competition in the education field.๋ชฉ ์ฐจ โ… . ์„œ๋ก  1 1. ์—ฐ๊ตฌ์˜ ๋ชฉ์  ๋ฐ ํ•„์š”์„ฑ 1 2. ์—ฐ๊ตฌ ๋ฌธ์ œ 6 3. ์ฃผ์š” ์šฉ์–ด์˜ ์ •๋ฆฌ 7 โ…ก. ์ด๋ก ์  ๋ฐฐ๊ฒฝ 9 1. ํ˜‘๋ ฅํ•™์Šต 9 ๊ฐ€. ํ˜‘๋ ฅํ•™์Šต์˜ ๊ฐœ๋… 9 ๋‚˜. ํ˜‘๋ ฅํ•™์Šต์˜ ํšจ๊ณผ์™€ ๊ณผ์ •์ค‘์‹ฌ ์ ‘๊ทผ 11 ๋‹ค. ํ˜‘๋ ฅํ•™์Šต์˜ ๋ชฉํ‘œ์™€ ์ˆ˜์—…๋ชจํ˜• 18 2. ํ˜‘๋ ฅํ•™์Šต๊ณผ ๊ณผ์ œ ์ฐธ์—ฌ 21 ๊ฐ€. ๊ณผ์ œ ์ฐธ์—ฌ 21 ๋‚˜. ๊ณผ์ œ ์ฐธ์—ฌ์˜ ์ง€ํ‘œ 23 3. ํ˜‘๋ ฅํ•™์Šต๊ณผ ํ•™์Šต ํƒœ๋„ 27 ๊ฐ€. ํ•™์Šต ํƒœ๋„ 27 ๋‚˜. ํ•™์Šต ํƒœ๋„์˜ ์ง€ํ‘œ 28 4. ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ 33 ๊ฐ€. ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ์— ๊ด€ํ•œ ์—ฐ๊ตฌํ˜‘๋ ฅํ•™์Šต์˜ ๊ฐœ๋… 33 ๋‚˜. ํ˜‘๋ ฅํ•™์Šต์˜ ํšจ๊ณผ์™€ ๊ณผ์ •์ค‘์‹ฌ ์ ‘๊ทผ 37 โ…ข. ์—ฐ๊ตฌ ๊ฐ€์„ค 43 โ…ฃ. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 44 1. ์—ฐ๊ตฌ ์ฐธ์—ฌ์ž 44 2. ์—ฐ๊ตฌ ๋„๊ตฌ 46 3. ์—ฐ๊ตฌ ์ ˆ์ฐจ 54 4. ๋ถ„์„ ๋ฐฉ๋ฒ• 59 โ…ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ 60 1. ์˜ˆ๋น„ ๋ถ„์„ 60 ๊ฐ€. ์ง‘๋‹จ ๊ฐ„ ๋™์งˆ์„ฑ ๊ฒ€์ฆ 60 ๋‚˜. ๊ธฐ์ˆ ํ†ต๊ณ„ ๋ฐ ์ƒ๊ด€๋ถ„์„ 62 ๋‹ค. ๋ฐ˜๋ณต์ธก์ • ๋ถ„์‚ฐ๋ถ„์„ ๊ธฐ๋ณธ๊ฐ€์ • ๊ฒ€ํ†  65 2. ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ์ด ๊ณผ์ œ ์ฐธ์—ฌ์™€ ํ•™์Šตํƒœ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 66 ๊ฐ€. ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ์ด ๊ณผ์ œ์ฐธ์—ฌ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 66 ๋‚˜. ์ง‘๋‹จ ๊ฐ„ ๊ฒฝ์Ÿ์ด ํ•™์Šตํƒœ๋„์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ 70 โ…ฅ. ๊ฒฐ๋ก  74 1. ์š”์•ฝ 74 2. ๋…ผ์˜ ๋ฐ ์˜์˜ 76 2. ์ œํ•œ์  ๋ฐ ํ›„์†์—ฐ๊ตฌ ์ œ์–ธ 82 ์ฐธ๊ณ ๋ฌธํ—Œ 83 ๋ถ€๋ก 100 Abstract 102Maste

    characterization of BLT thin films for MFS and MFIS applications

    No full text
    Maste

    ๊ฐœ์„ฑ๊ณต๋‹จ ์‚ฌ์—…์ด ๋Œ€ํ•œ๋ฏผ๊ตญ์— ๋ฏธ์น  ๊ฒฝ์ œ์  ํšจ๊ณผ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ์—ฐ๊ตฌ

    Get PDF
    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ํ–‰์ •๋Œ€ํ•™์› ์ •์ฑ…ํ•™๊ณผ, 2019. 2. ๋ฐ•์ƒ์ธ.๋‚จ๋ถ๊ต๋ฅ˜ํ˜‘๋ ฅ์˜ ํ•ต์‹ฌ์ด๋ผ ํ•  ์ˆ˜ ์žˆ๋Š” ๋‚จ๋ถ ๊ฒฝ์ œํ˜‘๋ ฅ, ์ด๋ฅธ๋ฐ” ๋‚จ๋ถ๊ฒฝํ˜‘์€ 1990๋…„๋Œ€ ํ›„๋ฐ˜๋ถ€ํ„ฐ ๊พธ์ค€ํžˆ ์ด๋ฃจ์–ด์ ธ ์™”์œผ๋‚˜ 2015๋…„ ๊ฐœ์„ฑ๊ณต๋‹จ ํ์‡„์— ์ด๋ฅด๋ €๋‹ค. ์ƒˆ๋กœ์šด ์ •๋ถ€๊ฐ€ ๋“ค์–ด์„œ๋ฉด์„œ ๋‚จ๋ถ๊ฒฝํ˜‘์ด ์žฌ์ฐจ ์ฃผ์š” ํ™”๋‘๋กœ ๋– ์˜ค๋ฅด๊ณ  ์žˆ๊ณ , ๊ทธ ์ค‘์—์„œ๋„ ํŠนํžˆ ๊ฐœ์„ฑ๊ณต๋‹จ์— ๊ด€ํ•œ ๋…ผ์˜๊ฐ€ ํ™œ๋ฐœํ•˜๋‹ค. ๊ฐœ์„ฑ๊ณต๋‹จ ์‚ฌ์—…์€ ํ†ต์ผ์„ ํ–ฅํ•œ ์ง„์ผ๋ณด๋กœ์„œ์˜ ์˜๋ฏธ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ๊ฒฝ์ œ์  ํƒ€๋‹น์„ฑ ์ธก๋ฉด์—์„œ๋„ ์ •๋‹นํ™”๋  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒฌํ•ด์— ๊ธฐ๋ฐ˜ํ•ด ๊ฐœ์„ฑ๊ณต๋‹จ ์‚ฌ์—…์ด ๊ฐ€์ ธ ์˜ฌ ๊ฒฝ์ œ์  ํšจ๊ณผ์— ์ด๋ชฉ์ด ์ง‘์ค‘๋˜๊ณ  ์žˆ๋‹ค. ๊ฐœ์„ฑ๊ณต๋‹จ ์‚ฌ์—… ๋ฐ ๋‚จ๋ถ๊ฒฝํ˜‘ ์‚ฌ์—…์˜ ๊ฒฝ์ œ์  ํšจ๊ณผ์— ๊ด€ํ•œ ์—ฐ๊ตฌ๋“ค์„ ์‚ดํŽด๋ณด๋ฉด, ์ฃผ์ œ์˜ ํŠน์ˆ˜์„ฑ์— ์˜ํ•ด ํ•ด์™ธ์—์„œ ์ง„ํ–‰๋œ ์—ฐ๊ตฌ๋Š” ํ’๋ถ€ํ•œ ํŽธ์€ ์•„๋‹ˆ์—ˆ๊ณ  ๊ตญ๋‚ด ์—ฐ๊ตฌ๋“ค์€ ์ฃผ๋กœ ์‚ฐ์—…์—ฐ๊ด€๋ถ„์„ ํ˜น์€ Solow ๋ชจํ˜• ํ™œ์šฉ ๋ถ„์„์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๋ฐœ์ „ํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ๋‚จ๋ถ๊ฒฝํ˜‘์€ ๋งค์šฐ ์‹œ์‚ฌ์ ์ธ ์ฃผ์ œ์ธ ๋ฐ” ๊ด€๋ จ ์—ฐ๊ตฌ๊ฐ€ ์ง„ํ–‰๋œ ์‹œ๊ธฐ๋Š” ๋‚จ๋ถ๊ด€๊ณ„๊ฐ€ ์šฐํ˜ธ์ ์ธ ์ƒํ™ฉ์ธ ๊ฒฝ์šฐ๊ฐ€ ๋งŽ์•˜๊ณ , ์ด๋Ÿฌํ•œ ๋งฅ๋ฝ์—์„œ ์ง€๋‚˜์น˜๊ฒŒ ๋‚™๊ด€์ ์ธ ์˜ˆ์ธก์ด ๋„์ถœ๋˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์—ˆ๋‹ค๋Š” ํ•œ๊ณ„๋ฅผ ์ง€์  ํ•ด ๋ณผ ์ˆ˜ ์žˆ๋‹ค. ๊ฐ€์žฅ ์ตœ๊ทผ์˜ ์—ฐ๊ตฌ๋กœ์„œ 2017๋…„ 12์›” ๋Œ€์™ธ๊ฒฝ์ œ์ •์ฑ…์—ฐ๊ตฌ์›์€ ๋‚จ๋ถ๊ฒฝํ˜‘์˜ ์ฃผ์š” 7๋Œ€ ์‚ฌ์—…์ด ๋ชจ๋‘ 30๋…„๊ฐ„ ๋‹จ์ ˆ ์—†์ด ์ถ”์ง„ ๋ฐ ํ™•๋Œ€๋  ๊ฒƒ์ด๋ฉฐ, ๊ฐœ์„ฑ๊ณต๋‹จ ๋‹จ์ผ ์‚ฌ์—…์— ์˜ํ•œ ๋Œ€ํ•œ๋ฏผ๊ตญ์˜ ๊ฒฝ์ œ์  ํšจ๊ณผ๋Š” ์•ฝ 159์กฐ์›์— ๋‹ฌํ•  ๊ฒƒ์ด๋ผ๊ณ  ์˜ˆ์ธกํ•œ ๋ฐ”, ์ด๋Š” ๊ณผ์—ฐ ์‹คํ˜„ ๊ฐ€๋Šฅํ•œ์ง€ ์˜๋ฌธ์ด ์ œ๊ธฐ๋œ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด๋Ÿฌํ•œ ์˜ˆ์ธก์˜ ์‹ ๋ขฐ์„ฑ์— ๊ด€ํ•ด ๋ฌธ์ œ์˜์‹์„ ๊ฐ€์ง€๊ณ  ๊ฐœ์„ฑ๊ณต๋‹จ ์‚ฌ์—…์ด 30๋…„๊ฐ„ ๋‹จ์ ˆ ์—†์ด ์ถ”์ง„ ๋ฐ ํ™•๋Œ€๋  ๊ฒฝ์šฐ ๋Œ€ํ•œ๋ฏผ๊ตญ์ด ๊ฒฝํ—˜ํ•  ๊ฒฝ์ œ์  ํšจ๊ณผ๋ฅผ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ธฐ๋ฒ•์„ ํ†ตํ•ด ์žฌ(ๅ†)์˜ˆ์ธกํ•˜์˜€๋‹ค. ์‚ฐ์—…์—ฐ๊ด€๋ถ„์„์„ ์‹ค์‹œํ•œ ๊ธฐ์กด ์„ ํ–‰์—ฐ๊ตฌ์˜ ์˜ˆ์ธก ์˜ค์ฐจ์˜ ์–‘์ƒ๊ณผ ๋ฐœ์ƒ ์›์ธ์„ ๋ถ„์„ํ•ด ์ด๋ฅผ ์žฌ์กฐ์ •ํ•˜์—ฌ ๋ฐ˜์˜ํ•˜๊ณ , ์—ฌ๊ธฐ์— ๋Œ€์™ธ๊ฒฝ์ œ์ •์ฑ…์—ฐ๊ตฌ์›์˜ ์ตœ์‹  ์—ฐ๊ตฌ์—์„œ ์‚ฌ์šฉํ•œ ์‹œ๋‚˜๋ฆฌ์˜ค๋ฅผ ํ† ๋Œ€๋กœ ์‹œ๋ฎฌ๋ ˆ์ด์…˜์„ ์‹ค์‹œํ•˜์˜€๋‹ค. ๋ถ„์„ ๊ฒฐ๊ณผ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ๊ฐœ์„ฑ๊ณต๋‹จ์˜ ๋ˆ„์  ์ƒ์‚ฐ ํšจ๊ณผ ์˜ˆ์ธก์€ ์ตœ์†Œ 62.7์กฐ์›, ์ตœ๋Œ€ 100.1์กฐ์›์— ๊ทธ์ณ ๋Œ€์™ธ๊ฒฝ์ œ์ •์ฑ…์—ฐ๊ตฌ์›์˜ ์˜ˆ์ธก์˜ ์•ฝ 39.4%์—์„œ ์•ฝ 62.9% ์ˆ˜์ค€์— ๋ถˆ๊ณผํ•˜์˜€๋‹ค. ๋‘˜์งธ, ๊ฐœ์„ฑ๊ณต๋‹จ์˜ ์ผ์ž๋ฆฌ ํšจ๊ณผ ์˜ˆ์ธก์€ ์ตœ์†Œ 8.9๋งŒ๊ฐœ์—์„œ ์ตœ๋Œ€ 14.1๋งŒ๊ฐœ์˜€๋Š” ๋ฐ”, ์ด๋Š” ๊ฐ€์žฅ ๋‚™๊ด€์ ์ธ ๊ฒฌํ•ด์— ๋”ฐ๋ฅด๋”๋ผ๋„ ์„ ํ–‰์—ฐ๊ตฌ์˜ 33๋งŒ๊ฐœ ์ผ์ž๋ฆฌ ์˜ˆ์ธก ์ˆ˜์ค€์˜ ์•ฝ 42.7%์— ๊ทธ์น  ๊ฒƒ์ด๋ผ๋Š” ๊ฒฐ๊ณผ๋ฅผ ์–ป์„ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ๋Œ€์™ธ๊ฒฝ์ œ์ •์ฑ…์—ฐ๊ตฌ์›์˜ ์‹œ๋‚˜๋ฆฌ์˜ค๋ฅผ ๋™์ผํ•˜๊ฒŒ ์ ์šฉํ•œ๋‹ค ํ•˜๋”๋ผ๋„ ๋ถ„์„ ๊ธฐ๋ฒ•์— ๋”ฐ๋ผ ๊ฒฝ์ œ์  ํšจ๊ณผ์˜ ์˜ˆ์ธก์ด ํฌ๊ฒŒ ๋‹ฌ๋ผ์งˆ ์ˆ˜ ์žˆ์Œ์„ ๋ณด์˜€๋‹ค. ๋˜ํ•œ, ์‚ฐ์—…์—ฐ๊ด€๋ถ„์„ ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•œ ์„ ํ–‰์—ฐ๊ตฌ์˜ ์˜ˆ์ธก ์˜ค์ฐจ ์š”์ธ์„ ์กฐ์ •ํ•˜์—ฌ ๋ณด๋‹ค ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ์˜ˆ์ธก ๊ฒฐ๊ณผ๋ฅผ ์ œ์‹œํ•˜์˜€๋‹ค.Inter-Korean economic cooperation, which had gradually developed since the late 1990s, practically stopped with the closure of the Gaeseong Industrial Complex in 2015. As the new government in Republic of Korea has taken attention on building better North-South relations, inter-Korean economic cooperation, especially re-operation of Gaeseong Industrial Complex, is once again emerging as a major topic of discussion. Some opinions claim that Gaeseong Industrial Complex project is meaningful not only because it is a progress toward reunification of the Korean Peninsula but also it could be justified in terms of economic feasibility since it is new economic growth opportunities given to Republic of Korea. Based on this view, economists are paying attention to predicting the economic effects of Gaeseong Industrial Complex Project. Most of domestic studies on economic feasibilities of Gaeseong Industrial Complex or inter-Korean economic cooperation are based on Solow growth model or Leontiefs multi-sectoral analysis. As inter-Korean economic cooperation is political issue, prior researches usually were conducted on the favorable situation of inter-Korean relations, which caused tendency of an overly optimistic forecast. The latest study in December 2017, conducted by Korea Institute for International Economic Policy(KIEP), estimated approximately 159 trillion won of the economic effects of Gaeseong Industrial Complex project on Korea, of which result arouses doubts about the achieveability. This study starts critically investigating former predictions about economic effects of Gaeseong Industrial Complex Project. Going one step further, this study tries to re-estimate the economic effects of Gaeseong Industrial Complex Project on Republic of Korea assuming that Gaeseong Industrial Complex Project would be promoted and expanded without interruption for 30 years, by using simulation method. This study analyzes the reasons why the error occurs from the former study using input-output analysis method and figures out the size of the error. Adjusting parameter values from this analysis and estimation, this study adopts the scenario used in the recent KIEP study with a slight modification. The results are as followsfirst, the estimated cumulative production effect of the Gaeseong Industrial Complex is at least 62.7 trillion won and up to 100.1 trillion won, which is far smaller than the estimates of KIEPs study. Second, the job creation effect would be expected by 1.41 million at most, even though following the most optimistic view. This figure is only 42.7% of the prior studys result. The simulation results show that the estimation of the economic effect of Gaeseong Industrial Complex Project is highly dependent on the methodology. Different analytic techniques draw different expectation even though exactly the same scenario that recent KIEP study developed is applied. Further, this study shows more sensible and more credible predictions by adjusting error factors of the former study.์ œ 1 ์žฅ ์„œ๋ก  1 ์ œ 2 ์žฅ ์ด๋ก ์  ๋…ผ์˜์™€ ์„ ํ–‰์—ฐ๊ตฌ์˜ ๊ฒ€ํ†  4 ์ œ 1 ์ ˆ ์ด๋ก ์  ๋…ผ์˜ 4 1. ์‚ฐ์—…์—ฐ๊ด€๋ถ„์„ ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•œ ๊ฒฝ์ œ์  ํšจ๊ณผ ๋ถ„์„ 4 2. Solow ๋ชจํ˜•์„ ์‚ฌ์šฉํ•œ ๊ฒฝ์ œ์  ํšจ๊ณผ ๋ถ„์„ 5 ์ œ 2 ์ ˆ ์„ ํ–‰ ์—ฐ๊ตฌ ๊ฒ€ํ†  7 1. ์‚ฐ์—…์—ฐ๊ด€๋ถ„์„ ๊ธฐ๋ฒ•์„ ์‚ฌ์šฉํ•œ ์„ ํ–‰ ์—ฐ๊ตฌ 7 2. Solow ๋ชจํ˜•์„ ์‚ฌ์šฉํ•œ ์„ ํ–‰ ์—ฐ๊ตฌ 8 3. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ฐฉํ–ฅ์„ฑ 9 ์ œ 3 ์žฅ ์—ฐ๊ตฌ ์„ค๊ณ„ ๋ฐ ๋ถ„์„ ๋ฐฉ๋ฒ• 11 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ ๋ฌธ์ œ์˜ ์„ค์ • ๋ฐ ์šฉ์–ด ์ •์˜ 11 ์ œ 2 ์ ˆ ๋ถ„์„ ๋ฐฉ๋ฒ•: Python์„ ํ™œ์šฉํ•œ ์‚ฐ์—…์—ฐ๊ด€ํšจ๊ณผ ๋ถ„์„ 12 ์ œ 4 ์žฅ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ถ„์„๋ชจํ˜• ๋ฐ ์‹œ๋‚˜๋ฆฌ์˜ค 14 ์ œ 1 ์ ˆ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๋ถ„์„ ๋ชจํ˜• ์„ค์ • 14 1. ์ƒ์‚ฐ์œ ๋ฐœํšจ๊ณผ 16 2. ์ทจ์—…์œ ๋ฐœํšจ๊ณผ 17 3. ๋ถํ•œ ๋…ธ๋™์ž ๊ณ ์šฉํšจ๊ณผ 17 ์ œ 2 ์ ˆ ๋ชจํ˜• ๋ณ€์ˆ˜๊ฐ’ ๋ถ€์—ฌ 18 1. ๊ตญ์‚ฐํˆฌ์ž…๊ณ„์ˆ˜: A_d 18 2. ๊ฐœ์„ฑ๊ณต๋‹จ ๊ฐ€๋™์— ๋”ฐ๋ฅธ ์—…์ข…๋ณ„ ์ตœ์ข…์ˆ˜์š” ์ฆ๊ฐ€์•ก ๋ฒกํ„ฐ: โˆ†y 19 3. ๋Œ€ํ•œ๋ฏผ๊ตญ์— ๊ฒฝ์ œ์  ํšจ๊ณผ ์œ ๋ฐœ/๋น„์œ ๋ฐœ ์—…์ข… ๊ตฌ๋ถ„ ๋ฒกํ„ฐ: c 21 4. ๊ฐœ์„ฑ๊ณต๋‹จ ์ง„์ถœ/๋น„์ง„์ถœ ์—…์ข… ๊ตฌ๋ถ„ ๋ฒกํ„ฐ: v 22 5. ๋ถํ•œ ๋…ธ๋™์ž 1์ธ๋‹น ์—ฐ๊ฐ„ ์ž„๊ธˆ ์ˆ˜์ž… ์Šค์นผ๋ผ: w_n 22 6. ์—…์ข…๋ณ„ ์ทจ์—…๊ณ„์ˆ˜ ๋ฒกํ„ฐ ๋ฐ ๊ณ ์šฉ๊ณ„์ˆ˜ ๋ฒกํ„ฐ: l_1, l_2 23 ์ œ 3 ์ ˆ ์‹œ๋‚˜๋ฆฌ์˜ค 24 ์ œ 5 ์žฅ ์‹œ๋ฎฌ๋ ˆ์ด์…˜ ๊ฒฐ๊ณผ ๋ฐ ์„ ํ–‰์—ฐ๊ตฌ์™€์˜ ๋น„๊ต 29 ์ œ 1 ์ ˆ 100๋งŒํ‰ ๋‹น ๊ฒฝ์ œ์  ํšจ๊ณผ 29 1. 100๋งŒํ‰ ๋‹น ๊ฐ€๋™ ์—…์ฒด ๊ฐ€์ •: 3๊ฐ€์ง€ ๊ฒฝ์šฐ์˜ ์ˆ˜ 29 2. 100๋งŒํ‰ ๋‹น ๊ฐ€๋™ ์—…์ฒด 125๊ฐœ์‚ฌ ๊ฐ€์ •์‹œ 32 3. 100๋งŒํ‰ ๋‹น ๊ฐ€๋™ ์—…์ฒด 200๊ฐœ์‚ฌ ๊ฐ€์ •์‹œ 34 4. 100๋งŒํ‰ ๋‹น ๊ฐ€๋™ ์—…์ฒด 125๊ฐœ์‚ฌ์—์„œ 200๊ฐœ์‚ฌ๋กœ ์ฆ๊ฐ€ ๊ฐ€์ •์‹œ 36 ์ œ 2 ์ ˆ 30๋…„ ๊ฐ„ ๊ฒฝ์ œ์  ํšจ๊ณผ 36 ์ œ 3 ์ ˆ ์„ ํ–‰์—ฐ๊ตฌ์™€์˜ ๋น„๊ต 37 ์ œ 6 ์žฅ ๊ฒฐ๋ก  39 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ ๊ฒฐ๊ณผ์˜ ์š”์•ฝ 39 ์ œ 2 ์ ˆ ์—ฐ๊ตฌ์˜ ์˜์˜ ๋ฐ ํ•œ๊ณ„ 40 ์ฐธ๊ณ ๋ฌธํ—Œ 42 Abstract 47Maste

    ํ˜„๋Œ€ ์กฐ๊ฒฝ์„ค๊ณ„์˜ ๋งค์ฒด์™€ ํ‘œํ˜„ : ํฌํ† ๋ชฝํƒ€์ฃผ๋ฅผ ์ค‘์‹ฌ์œผ๋กœ

    No full text
    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ)--์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› :์ƒํƒœ์กฐ๊ฒฝยท์ง€์—ญ์‹œ์Šคํ…œ๊ณตํ•™๋ถ€ ์ƒํƒœ์กฐ๊ฒฝํ•™์ „๊ณต,2006.Maste

    Sensor Membrane for Colorimetric Detection of Bacteria

    No full text
    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ์ƒํ™œ๊ณผํ•™๋Œ€ํ•™ ์˜๋ฅ˜ํ•™๊ณผ, 2023. 2. ๊น€์ฃผ์—ฐ.์ฝ”๋กœ๋‚˜ 19 ์ดํ›„ ๊ณต์ค‘๋ณด๊ฑด ๋ฐ ์œ„์ƒ์— ๋Œ€ํ•œ ๊ฒฝ๊ฐ์‹ฌ์ด ๊ณ ์ทจ๋˜๋ฉด์„œ ์ƒ๋ฌผํ•™์  ์˜ค์—ผ๋ฌผ์งˆ์„ ์ฆ‰๊ฐ์ ์œผ๋กœ ๊ฒ€์ถœํ•˜๋Š” ์„ผ์„œ์™€ ๊ฐ™์ด ๋‹ค์–‘ํ•œ ๋ณดํ˜ธ ์ˆ˜์ค€์˜ ๊ฐœ์ธ๋ณดํ˜ธ์žฅ๋น„์˜ ํ•„์š”์„ฑ์ด ๋Œ€๋‘๋˜์—ˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์‚ด์•„์žˆ๋Š” ์„ธํฌ์™€ ๋ฐ˜์‘ํ•˜์—ฌ ์ƒ‰ ๋ฐœํ˜„์„ ํ•˜๋Š” iodonitrotetrazolium chloride(INT)๋ฅผ ๊ณ ๋ถ„์ž์— ๋„์ž…ํ•˜์—ฌ ์ „๊ธฐ๋ฐฉ์‚ฌํ•œ ์„ฌ์œ ๊ธฐ๋ฐ˜ ์„ผ์„œ ์†Œ์žฌ๋ฅผ ๊ฐœ๋ฐœํ•˜๊ณ , ์ „๊ธฐ๋ฐฉ์‚ฌ ์›น์˜ ์ –์Œ์„ฑ์— ๋”ฐ๋ฅธ ๊ทธ๋žŒ ์–‘์„ฑ๊ท ๊ณผ ๊ทธ๋žŒ ์Œ์„ฑ๊ท ์— ๋Œ€ํ•œ ๋ถ€์ฐฉ ํŠน์„ฑ๊ณผ ์ƒ‰ ๋ฐœํ˜„ ํ˜„์ƒ์„ ๋ถ„์„ํ•˜๊ณ ์ž ํ•œ๋‹ค. ์„ผ์„œ ์‹œ๋ฃŒ๋Š” ์ –์Œ์„ฑ์ด ๋‹ค๋ฅธ ํด๋ฆฌ์šฐ๋ ˆํƒ„(polyurethane; PU), ์…€๋ฃฐ๋กœ์˜ค์Šค ์•„์„ธํ…Œ์ดํŠธ(cellulose acetate; CA), ํด๋ฆฌ๋น„๋‹ํ”ผ๋กค๋ฆฌ๋ˆ (polyvinylpyrrolidone; PVP) ๊ณ ๋ถ„์ž์˜ ๋น„์œจ์„ ๋‹ฌ๋ฆฌํ•œ ๊ณ ๋ถ„์ž ์šฉ์•ก์— INT๋ฅผ ํ˜ผํ•ฉํ•˜์—ฌ ์ „๊ธฐ๋ฐฉ์‚ฌ์— ์ œ์ž‘ํ•˜์˜€๋‹ค. ์‹คํ—˜๊ท ์ฃผ๋กœ๋Š” ๊ทธ๋žŒ ์–‘์„ฑ Micrococcus luteus(M. luteus)์™€ ๊ทธ๋žŒ ์Œ์„ฑ Escherichia coli(E. coli)๋ฅผ ์‚ฌ์šฉํ•˜์˜€์œผ๋ฉฐ ์ „๊ธฐ๋ฐฉ์‚ฌ๋œ ์›น์— ๋ฐ•ํ…Œ๋ฆฌ์•„ ํ˜„ํƒ์•ก์„ ์ ํ•˜ํ•˜๊ณ  ์ƒ‰๋ณ€ํ™”๋ฅผ ์ธก์ •ํ–ˆ๋‹ค. ์„ผ์„œ์˜ ์ƒ‰๋ณ€ํ™”๋ฅผ ํ™˜์›๋œ INT์˜ ์ตœ๋Œ€ํก์ˆ˜ํŒŒ์žฅ์—์„œ Kubelka-Munk ์‹์— ์˜ํ•ด ์—ผ์ฐฉ๋Ÿ‰(K/S๊ฐ’)์„ ์ธก์ •ํ•˜์˜€๊ณ , ์ด๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์„ธ๊ท ์˜ ๊ตฐ๋ฝ์ˆ˜๋ฅผ ๋Œ€๋žต์ ์œผ๋กœ ์ •๋Ÿ‰ํ™”ํ–ˆ๋‹ค. ์ –์Œ์„ฑ์ด ๋‹ค๋ฅธ ์‹œ๋ฃŒ์˜ ์ƒ‰๋ณ€ํ™” ๊ฐ๋„๋Š” ๊ฒ€์ถœํ•œ๊ณ„(Limit of Detection; LOD)์™€ ์ •๋Ÿ‰ํ•œ๊ณ„(Limit of Quantification; LOQ)๋ฅผ ๊ณ„์‚ฐํ•˜์—ฌ ๋น„๊ตํ•˜์˜€๋‹ค. ์ „๊ธฐ๋ฐฉ์‚ฌ๋œ ์›น์€ ์„ฌ์œ  ์กฐ์„ฑ๊ณผ ์ƒ๊ด€์—†์ด ์„ธ๊ท  ์ ํ•˜ ํ›„ 1์‹œ๊ฐ„ ์ด๋‚ด์— INT ํ™˜์›์ด ์™„๋ฃŒ๋˜์—ˆ๋‹ค. ์ƒ‰์ฐจ๊ณ„๋ฅผ ์ด์šฉํ•ด์„œ ์—ญ์œผ๋กœ ์ง‘๋ฝํ˜•์„ฑ๋‹จ์œ„ (colony forming unit; CFU) ๊ฐ’์„ ์˜ˆ์ธกํ•œ ๊ฒฐ๊ณผ, M. luteus๋Š” ์นœ์ˆ˜ํ•œ ์›น๊ณผ ์†Œ์ˆ˜์„ฑ ๋ฐ ์นœ์ˆ˜์„ฑ ๊ณ ๋ถ„์ž์™€ ํ˜ผํ•ฉ๋œ ์›น์—์„œ K/S ๊ฐ’์ด ๋†’๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋Š”๋ฐ, ์ด๋Š” ๊ทธ๋žŒ ์–‘์„ฑ๊ท ์˜ ์„ธํฌ๋ฒฝ์ด ์•„๋ฏธ๋…ธ๊ธฐ, ์นด๋ฅด๋ณต์‹ค๊ธฐ, ํ‹ฐ์˜ฌ๊ธฐ ๋“ฑ ์นœ์ˆ˜ํ•œ ๊ธฐ๋Šฅ๊ธฐ๊ฐ€ ํ’๋ถ€ํ•œ ํŽฉํ‹ฐ๋„๊ธ€๋ฆฌ์นธ์œผ๋กœ ์ด๋ฃจ์–ด์กŒ๊ธฐ ๋•Œ๋ฌธ์ด๋‹ค. ๋ฐ˜๋ฉด, ๊ทธ๋žŒ ์Œ์„ฑ๊ท  ์™ธ๋ง‰์˜ ์ง€์งˆ๋‹ค๋‹น๋ฅ˜ (lipopolysaccharide)์˜ ์นœ์œ ํ•œ ํŠน์„ฑ์€ ์†Œ์ˆ˜ํ•œ ์›น์˜ ์„ฌ์œ  ํ‘œ๋ฉด์— ์šฉ์ดํ•˜๊ฒŒ ๊ณ ์ฐฉ๋˜๋„๋ก ์ž‘์šฉํ•˜์—ฌ ๊ณ ๋†๋„์˜ E. coli ์กฐ๊ฑด์—์„œ ๊ธ‰๊ฒฉํ•œ ์ƒ‰๋ณ€ํ™”๋ฅผ ๋ณด์˜€๋‹ค. ๋”ฐ๋ผ์„œ, ์†Œ์ˆ˜์„ฑ ๊ณ ๋ถ„์ž์™€ ์นœ์ˆ˜์„ฑ ๊ณ ๋ถ„์ž๊ฐ€ ํ˜ผํ•ฉ๋œ ์›น์€ ๊ทธ๋žŒ ์–‘์„ฑ ๋ฐ ์Œ์„ฑ ๊ท ์ฃผ ๋ชจ๋‘์— ๋Œ€ํ•ด ์„ ํ˜•์ ์ธ ๋น„์ƒ‰ ๋ฐ˜์‘์„ ๋ณด์—ฌ ์‹คํ—˜๋œ ๋ฐ•ํ…Œ๋ฆฌ์•„ ๋†๋„์˜ ๋ฒ”์œ„์—์„œ ์‹ ๋ขฐํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐ์ง€ ๋Šฅ๋ ฅ์„ ๋ณด์—ฌ์ค€๋‹ค. ๋ณธ ๋…ผ๋ฌธ์—์„œ๋Š” ๊ฐ„ํŽธํ•œ ์ œ์กฐ๋ฐฉ๋ฒ•์œผ๋กœ ๋ณดํ˜ธ์žฅ๋น„์— ์‰ฝ๊ฒŒ ์ ์šฉํ•  ์ˆ˜ ์žˆ๋Š” ์›จ์–ด๋Ÿฌ๋ธ” ๋ฐ•ํ…Œ๋ฆฌ์•„ ์„ผ์„œ๋ฅผ ๊ฐœ๋ฐœํ•˜์˜€์œผ๋ฉฐ, ์„ฌ์œ ๊ธฐ๋ฐ˜ ์„ผ์„œ์˜ ๊ฐœ๋… ์ฆ๋ช…์„ ์œ„ํ•œ ์‹คํ—˜์„ ์ˆ˜ํ–‰ํ•˜์˜€๋‹ค. ์ด ๊ธฐ์ˆ ์„ ์ด์šฉํ•˜๋ฉด ๋ณดํ˜ธ๋ณต ํ‘œ๋ฉด์ด ์„ธ๊ท ์„ ๋น„๋กฏํ•œ ๋ฐ”์ด์˜ค ์—์–ด๋กœ์กธ์— ์˜ํ•ด ์˜ค์—ผ๋  ๋•Œ, ์ ์ƒ‰ ํฌ๋ฅด๋งˆ์ž”์ด ํ˜•์„ฑ๋˜์–ด ๋ณดํ˜ธ๋ณต ์ฐฉ์šฉ์ž ๋ฐ ์˜๋ฃŒ ์ข…์‚ฌ์ž๋“ค์€ ์†Œ๋…, ์‚ด๊ท  ๋“ฑ ์œ„์ƒ ์ง€์นจ์„ ์ฆ‰์‹œ ์‹คํ–‰ํ•  ์ˆ˜ ์žˆ๊ฒŒ ๋˜๋ฏ€๋กœ ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ๊ณต์ค‘์œ„์ƒ์˜ ์ฆ์ง„์— ๊ธฐ์—ฌํ•  ์ˆ˜ ์žˆ์„ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค.Protective equipment for detecting biological contamination has been in high demand, along with increased awareness in public health and hygiene, since the advent of COVID-19. Herein, an electrospun sensor membrane embedded with iodonitrotetrazolium chloride (INT) was developed for the general purpose of detecting viable bacteria and investigated for its adherence properties and chromogenic response of Gram-positive Micrococcus luteus (M. luteus) and Gram- negative Escherichia coli (E. coli). The sensor membranes were prepared with varied ratios of polymers with different wetting properties including polyurethane (PU), cellulose acetate (CA), and polyvinylpyrrolidone (PVP). The chromogenic response was induced by loading 20 ฮผL of bacterial suspension onto the sensor membrane and measured by the light absorption coefficient to the scattering coefficient (K/S) using the Kubelkaโ€“Munk equation. The colorimetric sensitivities of different membranes were examined by calculating the limit of detection (LOD) and the limit of quantification (LOQ) based on the correlation between the bacterial colony forming unit (CFU) and K/S values. Regardless of the wettability gradients of the membranes, INT reduction was completed within an hour of loading bacterial suspension. The results demonstrated that the chromogenic response depended on the interaction of Gram-positive and Gram-negative bacteria with the wetting properties of membranes. Hydrophilic M. luteus showed higher K/S values for hydrophilic membranes due to their cell walls being predominantly composed of peptidoglycan, which features abundant hydrophilic functional groups such as carboxyl, amino, and thiol groups. On the other hand, hydrophobic membranes showed excessive interactions at high concentrations of Gram-negative E. coli, whose cell membranes are lipophilic. The membrane blended with hydrophobic and hydrophilic polymers displayed linear colorimetric responses for both Gram-negative and Gram-positive bacteria strains, demonstrating a reliable sensing capability in the range of the tested bacteria concentration. This study developed a wearable bacteria sensor that is readily applicable to various fields and conducted explorative experimentations to conceive a proof of concept of a fiber-based bacteria sensor. We expect that this work could contribute to the improvement of public health and hygiene as the wearer and medical personnel are able to monitor biological contamination through visual indication and initiate their disinfection and sterilization protocols.์ œ 1 ์žฅ ์„œ ๋ก  1 ์ œ 1 ์ ˆ ์—ฐ๊ตฌ์˜ ํ•„์š”์„ฑ ๋ฐ ๋ชฉ์  1 ์ œ 2 ์ ˆ ์ด๋ก ์  ๋ฐฐ๊ฒฝ 6 2.1 Iodonitrotetrazolium chloride์˜ ์ƒ‰๋ณ€ํ™” ๋ฐ˜์‘ 6 2.2 ๊ทธ๋žŒ ์–‘์„ฑ ๋ฐ ๊ทธ๋žŒ ์Œ์„ฑ๊ท ์˜ ํŠน์„ฑ 8 2.3 ๊ณ ๋ถ„์ž์˜ ํ‘œ๋ฉด ์—๋„ˆ์ง€์™€ ์ –์Œ์„ฑ 9 ์ œ 2 ์žฅ ์‹ค ํ—˜ 11 ์ œ 1 ์ ˆ ์‹œ๋ฃŒ ๋ฐ ์‹œ์•ฝ 11 ์ œ 2 ์ ˆ ์‹œ๋ฃŒ ์ œ์ž‘ 12 2.1 ์ „๊ธฐ๋ฐฉ์‚ฌ ์›น ์ œ์กฐ 12 2.2 ์‹œ๋ฃŒ์˜ ํŠน์„ฑ ํ‰๊ฐ€ 14 ์ œ 3 ์ ˆ ์„ธ๊ท  ๋ฐฐ์–‘ 15 ์ œ 4 ์ ˆ ์‹œ๋ฃŒ์˜ ๋น„์ƒ‰ ๋ฐ˜์‘ ์ธก์ • 16 ์ œ 3 ์žฅ ๊ฒฐ๊ณผ ๋ฐ ๊ณ ์ฐฐ 18 ์ œ 1 ์ ˆ ์„ธ๊ท ์— ๋Œ€ํ•œ INT์˜ ํ™˜์› ๋ฐ ์ƒ‰ ๋ฐ˜์‘ 18 ์ œ 2 ์ ˆ INT ์›น์˜ ์ –์Œ์„ฑ์— ๋”ฐ๋ฅธ ๋น„์ƒ‰ ๋ฐ˜์‘ ํ‰๊ฐ€ 22 2.1 ์ „๊ธฐ๋ฐฉ์‚ฌ ์›น์˜ ์ –์Œ์„ฑ 22 2.2 ํ•œ์ฒœ ๋ฐฐ์ง€์— ๋Œ€ํ•œ ์‹œ๋ฃŒ์˜ ์ƒ‰๋ณ€ํ™” 24 2.3 ์„ธ๊ท  ์•ก์ ์— ์˜ํ•œ ์‹œ๋ฃŒ์˜ ์ƒ‰๋ณ€ํ™” 26 ์ œ 3 ์ ˆ INT ์›น ์กฐ์„ฑ์— ๋”ฐ๋ฅธ ์„ธ๊ท  ๋†๋„ ๋ณ„ ๋น„์ƒ‰ ๋ฐ˜์‘ 29 3.1 ์ „๊ธฐ๋ฐฉ์‚ฌ ์›น์—์„œ INT ๋†๋„์— ๋”ฐ๋ฅธ ๋น„์ƒ‰ ๋ฐ˜์‘ 29 3.2 INT ์›น์˜ ์‹œ๊ฐ„์— ๋”ฐ๋ฅธ ์ƒ‰ ๋ฐ˜์‘ 30 3.3 ์„ผ์„œ ๊ฐ์ง€ ๋ฏผ๊ฐ๋„ ํ‰๊ฐ€ 33 ์ œ 4 ์ ˆ ์„ธ๊ท  ๋น„๋ง ๋ถ„๋ฌด์— ์˜ํ•œ ์‹ค์ œ ์‘์šฉ ํ‰๊ฐ€ 41 ์ œ 4 ์žฅ ๊ฒฐ ๋ก  43 ์ฐธ๊ณ ๋ฌธํ—Œ 44 Abstract 49์„
    corecore