15 research outputs found

    ํ•œ๊ตญ ๊ฑฐ์ฃผ ํ„ฐํ‚ค ๋ฌด์Šฌ๋ฆผ ๋ถ€๋ชจ์˜ ๋ฌธํ™”์ ์‘๊ณผ ์ž๋…€์–‘์œก

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    ํ•™์œ„๋…ผ๋ฌธ (์„์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› ์‚ฌ๋ฒ”๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ์œ ์•„๊ต์œก์ „๊ณต, 2017. 8. ๋ฐ•ํ˜œ์ค€.์ด ์—ฐ๊ตฌ๋Š” ์ง€์†์ ์œผ๋กœ ์ฆ๊ฐ€ํ•˜๋Š” ์—ฌ๋Ÿฌ ์œ ํ˜•์˜ ๋‹ค๋ฌธํ™”๊ฐ€์กฑ ์ค‘์—์„œ ๋ฌด์Šฌ๋ฆผ ๋ถ€๋ชจ์˜ ํ•œ๊ตญ์‚ฌํšŒ์—์„œ ๋ฌธํ™”์ ์‘ ๊ณผ์ •๊ณผ ์ž๋…€์–‘์œก ๊ฒฝํ—˜์„ ์•Œ์•„๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ๋ฌด์Šฌ๋ฆผ ๋ถ€๋ชจ ์ค‘์—์„œ๋„ ํ„ฐํ‚ค์ธ ๋ฌด์Šฌ๋ฆผ ์–ด๋จธ๋‹ˆ, ํ„ฐํ‚ค์ธ ๋ฌด์Šฌ๋ฆผ ์•„๋ฒ„์ง€์˜ ํ•œ๊ตญ์‚ฌํšŒ ๋ฌธํ™”์ ์‘๊ณผ์ •๊ณผ ์ž๋…€์–‘์œก ๊ฒฝํ—˜์˜ ์˜๋ฏธ๋ฅผ ์•Œ์•„๋ณด๊ณ ์ž ํ•˜์˜€๋‹ค. ์ด ์—ฐ๊ตฌ๋ฅผ ์œ„ํ•ด 2016๋…„ 9์›” 28์ผ๋ถ€ํ„ฐ 2017๋…„ 2์›” 1์ผ๊นŒ์ง€ ํ„ฐํ‚ค์ธ ๋ฌด์Šฌ๋ฆผ ์–ด๋จธ๋‹ˆ 7๋ช…, ํ„ฐํ‚ค์ธ ๋ฌด์Šฌ๋ฆผ ์•„๋ฒ„์ง€ 4๋ช…์„ ๋Œ€์ƒ์œผ๋กœ ๋ฉด๋‹ด์„ ์ง„ํ–‰ํ•˜์—ฌ ์ž๋ฃŒ๋ฅผ ์ˆ˜์ง‘ํ•˜์˜€๋‹ค. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ๋ฅผ ์š”์•ฝํ•˜๋ฉด ๋‹ค์Œ๊ณผ ๊ฐ™๋‹ค. ์ฒซ์งธ, ํ„ฐํ‚ค์ธ ๋ฌด์Šฌ๋ฆผ ์–ด๋จธ๋‹ˆ์™€ ์•„๋ฒ„์ง€๋“ค์˜ ์ ์‘์œ ํ˜•์ด ๋‹ค๋ฅด๊ฒŒ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ„ฐํ‚ค์ธ ๋ฌด์Šฌ๋ฆผ ์–ด๋จธ๋‹ˆ๋“ค์€ ํ•œ๊ตญ์‚ฌํšŒ์— ์ ์‘ํ•˜๊ธฐ ์œ„ํ•ด ๋…ธ๋ ฅ์„ ํ•˜์ง€๋งŒ, ์ต์ˆ™ํ•˜์ง€ ์•Š์€ ํ•œ๊ตญ์–ด์™€ ํ•œ๊ตญ๋ฌธํ™”์— ๋Œ€ํ•œ ์ดํ•ด์™€ ์ ์‘์— ์–ด๋ ค์›€์ด ๋งŽ์•˜๋‹ค. ๋ฐ˜๋ฉด ํ„ฐํ‚ค์ธ ๋ฌด์Šฌ๋ฆผ ์•„๋ฒ„์ง€๋“ค์€ ํ•œ๊ตญ์–ด๋ผ๋Š” ์ƒˆ๋กœ์šด ์–ธ์–ด์™€ ๋‚ฏ์„  ํ•œ๊ตญ๋ฌธํ™”์— ์ ์‘ํ•˜๋Š” ๊ฒƒ์ด ์–ด๋ ค์›€์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ , ์ ๊ทน์ ์œผ๋กœ ํ•œ๊ตญ์‚ฌํšŒ์— ์ ์‘ํ•˜๊ธฐ ์œ„ํ•ด ๋…ธ๋ ฅํ•˜๋Š” ๋ชจ์Šต์„ ๋ณด์˜€๋‹ค. ํ•œ๊ตญ์—์„œ์˜ ์ ์‘ ๊ณผ์ •์—์„œ ๊ฒฝํ—˜ํ•˜๋Š” ์–ด๋ ค์›€์— ๋Œ€ํ•œ ์–ด๋จธ๋‹ˆ์™€ ์•„๋ฒ„์ง€์˜ ์ธ์‹์˜ ์ฐจ์ด๋Š” ์ž๋…€์–‘์œก์— ๋Œ€ํ•œ ์ธ์‹์—์„œ๋„ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ๋‘˜์งธ, ํ•œ๊ตญ์‚ฌํšŒ์— ์ ์‘ํ•˜๋Š” ๊ณผ์ •์—์„œ ๋ถ€๋ชจ๋“ค์€ ๋ถ€๋ชจ ์—ญํ• ์˜ ๋ณ€ํ™”๋ฅผ ๊ฒฝํ—˜ํ•˜๋Š” ๊ฒƒ์œผ๋กœ ๋‚˜ํƒ€๋‚ฌ๋‹ค. ํ„ฐํ‚ค๋„ ํ•œ๊ตญ์ฒ˜๋Ÿผ ์–ด๋จธ๋‹ˆ๊ฐ€ ์ž๋…€์˜ ๋ชจ๋“  ์‚ฌ์†Œํ•œ ์ผ๊นŒ์ง€ ๊ด€์—ฌํ•˜๊ณ  ์ฑ™๊ธฐ๋ฉฐ, ์•„๋ฒ„์ง€๋Š” ์ฃผ๋กœ ๊ฒฝ์ œ์ ์ธ ์ฑ…์ž„์„ ์ง€๋Š” ํŽธ์ด๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ํ•œ๊ตญ ๋ฌธํ™”์— ์ ์‘ ํ•˜๋Š” ๊ณผ์ •์—์„œ ์–ด๋จธ๋‹ˆ์™€ ์•„๋ฒ„์ง€๋“ค์€ ์—ญํ• ์— ์žˆ์–ด์„œ ๋งŽ์€ ๋ณ€ํ™”๋ฅผ ๊ฒฝํ—˜ํ•ด์™”๋‹ค. ํ•œ๊ตญ ์‚ฌํšŒ์˜ ์ƒˆ๋กœ์šด ๋ฌธํ™”์— ์ ์‘ํ•˜๋Š” ๊ณผ์ •์— ์–ด๋ ค์›€์ด ํฌ๊ธฐ ๋•Œ๋ฌธ์— ์–ด๋จธ๋‹ˆ๋“ค์€ ์ž๋…€๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์ž์‹ ์˜ ์–ด๋ ค์›€์— ๋” ์ง‘์ค‘ํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ์ž๋…€๋“ค์— ๋Œ€ํ•œ ๊ฑฑ์ •์„ ๋งŽ์ด ํ•˜์ง€๋งŒ ๋ชจ๋“  ๊ฒƒ์„ ์ž๊ธฐ์˜ ์–ด๋ ค์›€๊ณผ ์—ฐ๊ฒฐ ์‹œ์ผœ ์ด์•ผ๊ธฐ ํ•˜์˜€๋‹ค. ์•„๋ฒ„์ง€๋“ค์€ ์ž๋…€๋ฅผ ๋ฌด์Šฌ๋ฆผ์œผ๋กœ์„œ ํ‚ค์šด๋‹ค๋Š” ๊ฒƒ์ด ํž˜๋“ค๋‹ค๊ณ  ๋Œ€๋‹ต์„ ํ–ˆ์œผ๋ฉฐ, ์ž๋…€์˜ ์‹์ƒํ™œ๊ณผ ์‚ฌ์†Œํ•œ ์ผ์ƒ์ƒํ™œ์— ๋Œ€ํ•œ ๊ฑฑ์ •์ด ๋งŽ์•˜๋‹ค. ํ„ฐํ‚ค์—์„œ๋Š” ์ž์—ฐ์Šค๋Ÿฌ์šด ์ผ์ƒ์ด์—ˆ์ง€๋งŒ, ํ•œ๊ตญ์—์„œ ์ž๋…€๋ฅผ ํ‚ค์šฐ๊ธฐ ์œ„ํ•ด ํ• ๋ž„๊ณผ ํ•˜๋žŒ์— ๋Œ€ํ•ด ๋Š์ž„์—†์ด ๊ณ ๋ฏผํ•˜๊ณ  ๋…ธ๋ ฅ ํ•˜๊ณ  ์žˆ์—ˆ๋‹ค. ์…‹์งธ, ํ•œ๊ตญ์‚ฌํšŒ์—์„œ์˜ ์ ์‘ ๊ณผ์ •์—์„œ ๋ถ€๋ชจ๋“ค์ด ๊ฐ€์žฅ ์ค‘์š”์‹œ ์—ฌ๊ธฐ๋Š” ๊ฒƒ์€ ๋ฌด์Šฌ๋ฆผ์œผ๋กœ์„œ์˜ ์ •์ฒด์„ฑ์ด๋‹ค. ์ด์— ์ด์Šฌ๋žŒ์— ๋Œ€ํ•œ ์ธ์‹๊ณผ ๋ฌด์Šฌ๋ฆผ๋“ค์˜ ์ƒํ™œ๋ฐฉ์‹์— ๋Œ€ํ•œ ์ดํ•ด๊ฐ€ ๋ถ€์กฑํ•œ ํ•œ๊ตญ ์‚ฌํšŒ์—์„œ ๋ฌด์Šฌ๋ฆผ์œผ๋กœ์„œ์˜ ์ •์ฒด์„ฑ์„ ์œ ์ง€ํ•˜๊ธฐ ์œ„ํ•ด ๋‚˜๋ฆ„๋Œ€๋กœ ์ž์‹ ๋“ค๋งŒ์˜ ๋Œ€์ฒ˜๋ฐฉ๋ฒ•์„ ์ œ์‹œํ•˜์˜€๋‹ค.โ… . ์„œ๋ก  1 1. ๋ฌธ์ œ์ œ๊ธฐ 1 2. ์—ฐ๊ตฌ ๋ชฉ์ ๊ณผ ์—ฐ๊ตฌ ๋ฌธ์ œ 3 โ…ก. ์ด๋ก ์  ๋ฐฐ๊ฒฝ ๋ฐ ์„ ํ–‰์—ฐ๊ตฌ ๋ถ„์„ 5 1. ๋‹ค๋ฌธํ™”์‚ฌํšŒ๋กœ ๋ณ€ํ•˜๋Š” ํ•œ๊ตญ ์‚ฌํšŒ์™€ ๋‹ค๋ฌธํ™”๊ฐ€์กฑ 5 1) ํ•œ๊ตญ์‚ฌํšŒ์˜ ๋‹ค๋ฌธํ™”๊ฐ€์กฑ 5 2) ๋ฌธํ™”์ ์‘์ด๋ก  7 2. ๋ฌด์Šฌ๋ฆผ์œผ๋กœ์„œ์˜ ์ •์ฒด์„ฑ๊ณผ ์ž๋…€์–‘์œก 12 1) ๋ฌด์Šฌ๋ฆผ์œผ๋กœ์„œ์˜ ์ •์ฒด์„ฑ์„ ์ง€ํ‚ค๊ธฐ ์œ„ํ•œ ์ƒํ™œ๋ฐฉ์‹ 12 2) ๋ฌด์Šฌ๋ฆผ์˜ ์ž๋…€์–‘์œก 16 โ…ข. ์—ฐ๊ตฌ ๋ฐฉ๋ฒ• 19 1. ์—ฐ๊ตฌ์ฐธ์—ฌ์ž 19 2. ์ž๋ฃŒ์ˆ˜์ง‘ 22 3. ์ž๋ฃŒ๋ถ„์„ 23 4. ์—ฐ๊ตฌ์ž์˜ ๊ด€์  26 โ…ฃ. ์—ฐ๊ตฌ ๊ฒฐ๊ณผ 27 1. ํ•œ๊ตญ ๊ฑฐ์ฃผ ํ„ฐํ‚ค ๋ถ€๋ชจ์˜ ๋ฌธํ™”์ ์‘ ๊ณผ์ • 27 1) ๋‹ค๋ฅด๋ฉด์„œ ๊ฐ™๊ณ , ๊ฐ™์œผ๋ฉด์„œ ๋‹ค๋ฅธ ํ„ฐํ‚ค์™€ ํ•œ๊ตญ 27 2) ์–ธ์–ด์žฅ๋ฒฝ์— ๋Œ€ํ•œ ์ธ์‹ 33 3) ํ•œ๊ตญ์—์„œ์˜ ๋‹ค๋ฅธ ์‚ถ์— ๋Œ€ํ•œ ๊ธฐ๋Œ€ 37 2. ๋ฌด์Šฌ๋ฆผ์œผ๋กœ์„œ์˜ ์ •์ฒด์„ฑ๊ณผ ์ž๋…€์–‘์œก 39 1) ํ•œ๊ตญ์—์„œ ๋ฌด์Šฌ๋ฆผ์œผ๋กœ ์‚ด์•„๊ฐ€๊ธฐ 39 2) ํ•œ๊ตญ์—์„œ ๋ฌด์Šฌ๋ฆผ์œผ๋กœ ์•„์ด ํ‚ค์šฐ๊ธฐ 41 3) ๋‹ฌ๋ผ์ง„ ๋ถ€๋ชจ์˜ ์—ญํ•  45 โ…ค. ๊ฒฐ๋ก  ๋ฐ ๋…ผ์˜ 50 1. ๊ฒฐ๋ก  50 2. ์˜์˜์™€ ํ•œ๊ณ„ 53 ์ฐธ๊ณ ๋ฌธํ—Œ 56 Abstract 62 ํ‘œ ๋ชฉ ์ฐจ Berry์˜ ๋ฌธํ™”์ ์‘ ์œ ํ˜• 8 ์—ฐ๊ตฌ์ฐธ์—ฌ์ž 21 ์ž๋ฃŒ ๋ฒ”์ฃผํ™” ๋ชฉ๋ก์˜ ์˜ˆ 25Maste

    A Novel Conductometric Urea Biosensor with Improved Analytical Characteristic Based on Recombinant Urease Adsorbed on Nanoparticle of Silicalite

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    Development of a conductometric biosensor for the urea detection has been reported. It was created using a non-typical method of the recombinant urease immobilization via adsorption on nanoporous particles of silicalite. It should be noted that this biosensor has a number of advantages, such as simple and fast performance, the absence of toxic compounds during biosensor preparation, and high reproducibility (RSDโ€‰=โ€‰5.1ย %). The linear range of urea determination by using the biosensor was 0.05โ€“15ย mM, and a lower limit of urea detection was 20ย ฮผM. The bioselective element was found to be stable for 19ย days. The characteristics of recombinant urease-based biomembranes, such as dependence of responses on the protein and ion concentrations, were investigated. It is shown that the developed biosensor can be successfully used for the urea analysis during renal dialysis

    Flow injection spectrophotometric determination of iron(III) using diphenylamine-4-sulfonic acid sodium salt

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    A highly sensitive and very simple spectrophotometric flow-injection analysis (FIA) method for the determination of iron(III) at low concentration levels is presented. The method is based on the measurement of absorbance intensity of the red complex at 410 nm formed by iron(III) and diphenylamine-4-sulfonic acid sodium salt (DPA-4-SA). It is a simple, highly sensitive, fast, and low cost alternative method using the color developing reagent DPA-4-SA in acetate buffer at pH 5.50 and the flow-rate of 1 mL minโˆ’1 with the sample throughput of 60 hโˆ’1. The method provided a linear determination range between 5 ฮผg Lโˆ’1 and 200 ฮผg Lโˆ’1 with the detection limit (3S) of 1 ฮผg Lโˆ’1 of iron(III) using the injection volume of 20 ฮผL. FIA variables influencing the system performance were optimized. The amount of iron(III) and total iron in river and seawater samples was successfully determined. Repeatability of the measurements was satisfactory at the relative standard deviation of 3.5 % for 5 determinations of 10 ฮผg Lโˆ’1 iron(III). The accuracy of the method was evaluated using the standard addition method and checked by the analysis of the certified material Std Zn/Al/Cu 43 XZ3F

    Optimization of Leaching Parameters of Aluminum Hydroxide Extraction from Bauxite Waste Using the Taguchi Method

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    WOS: 000419908200020In this study, the statistical optimization of the leaching parameters of aluminum hydroxide extraction from bauxite waste (red mud) was investigated. The extraction parameters were solid-to-liquid ratio, base concentration, reaction temperature, leaching time, and stirring speed. Optimum experimental conditions were carried out by the Taguchi method. A higher dissolution rate was found to give better performance characteristics. The most important parameter was determined using the statistical analysis of variance. (c) 2017 American Institute of Chemical Engineer
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