박현우 교수
Hyunwoo Park
서울대학교 · 공학
연구실 소개
박현우 교수의 연구실은 유전자공학을 활용한 생물학적 농약, 특히 베이실러스 테링기엔시스(Bacillus thuringiensis)를 이용한 해충 방제제 개발에 초점을 맞추고 있습니다. 주로 나방류 및 나방류 외 해충을 대상으로 하는 Cry 및 Cyt 단백질의 고효율 발현 체계를 구축하고, 이를 통해 저비용·고효율의 박테리아 기반 라이브리시드를 개발하는 데 주력하고 있습니다. 특히, 발현 조절 요소와 mRNA 안정화 서열을 조합한 유전자 공학 기반의 발현 시스템 개발이 핵심 연구 과제입니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Abstract This paper presents a geometric mean scheme (GMS) to determine an optimal regularization factor for Tikhonov regularization technique in the system identification problems of linear elastic continua. The characteristics of non‐linear inverse problems and the role of the regularization are investigated by the singular value decomposition of a sensitivity matrix of responses. It is shown that the regularization results in a solution of a generalized average between the a priori estimates
Soya bean (Glycine max (L.) Merr.) is sought after for both its oil and protein components. Genetic approaches to add value to either component are ongoing efforts in soya bean breeding and molecular biology programmes. The former is the primary vegetable oil consumed in the world. Hence, its primary usage is in direct human consumption. As a means to increase its utility in feed applications, thereby expanding the market of soya bean coproducts, we investigated the simultaneous displacement of
Abstract This paper presents a new class of regularization functions and the associated regularization scheme for structural system identification. In particular, 1‐norm regularization functions are investigated to overcome the smearing effect of 2‐norm regularization functions for the identification of discontinuous system parameters of structures. The truncated singular value decomposition is employed to filter out noise‐polluted solution components and to impose the 1‐norm regularization func
An economically efficient one-step lactide synthesis process has been developed by using a low-price commercialized catalyst of SiO2/Al2O3 in a packed-bed reactor. Under the optimized conditions of preheater temperature 160 °C, reactor temperature 240 °C, and WHSV 3 h–1, 90% lactic acid conversion and 99% lactide selectivity were obtained. Filling of glass beads underneath the catalyst bed proved to be quite effective in improving reaction performance. The catalyst stably maintained its activity
Removal kinetics for NO and SO<sub>2</sub> by NaClO<sub>2</sub> solution mist were investigated in a wet electrostatic precipitator. By varying the molar concentrations of NO, SO<sub>2</sub>, and NaClO<sub>2</sub>, the removal rates of NO and SO<sub>2</sub> confirmed to range from 34.8 to 72.9 mmol/m<sup>3</sup> s and 36.6 to 84.7 mmol/m<sup>3</sup> s, respectively, at a fixed gas residence time of 0.25 s. The rate coefficients of NO and SO<sub>2</sub> were calculated to be 0.679 (mmol/m<sup>3</
Soybean (Glycine max (L.) Merr) is valued for both its protein and oil, whose seed is composed of 40% and 20% of each component, respectively. Given its high percentage of polyunsaturated fatty acids, linoleic acid and linolenic acid, soybean oil oxidative stability is relatively poor. Historically food processors have employed a partial hydrogenation process to soybean oil as a means to improve both the oxidative stability and functionality in end-use applications. However, the hydrogenation pr
대표 연구 분야
박현우 교수의 연구를 Nubint에서 더 깊이 살펴보세요
이 연구실의 논문을 앱에서 열어 AI와 함께 읽고, 핵심을 요약하고, 내 글에 인용하세요.