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산업단지 및 일반생활 지역의 공기 중 톨루엔에 대한 개인노출 및 생체시료의 상관성 분석
이병준(Byoungjun Lee),허 정(Jung Heo),정다영(Dayoung Jung),김순신(Sunshin Kim),류현수(Hyeon-Su Ryu),최민지(Min-Ji Choi),솨이지엔페이(Jian-Fei Shuai),임성국(Sung-Guk Im),양원호(Wonho Yang) 한국환경보건학회 2017 한국환경보건학회지 Vol.43 No.4
Objectives: The purpose of this study was to assess the correlation relationship between personal exposure and urinary hippuric acid in biological monitoring for airborne toluene in an industrial complex and in general environments. Methods: Personal exposure to toluene and its metabolite, hippuric acid, in urine were simultaneously measured in occupational environments area near an industrial complex and in general environments. The study subjects were divided into three types: 137 workers who use organic solvents in the workplace, 210 residents living near a dyeing industrial complex, and 379 residents living in general environments. The toluene exposures of workers and residents were measured by a passive sampler for four days. The urine of participants was sampled when the passive samplers of personal exposure were collected. Results: The toluene and hippuric acid concentrations of workers were the highest, followed by the concentrations of residents living near a dyeing industrial complex and residents living in general environments. The coefficient of correlation between the concentrations of toluene and hippuric acid among workers was 0.749 (p<0.01) in the workplace. On the contrary, correlations between the concentrations of toluene and hippuric acid among residents living near a dyeing industrial complex and residents living in general environments were all not significant. The relationship between the concentrations of hippuric acid and toluene in three types could be described by the exponential growth model. Conclusions: This study analyzed the relationships between toluene exposure and the concentrations of hippuric acid in urine in high, middle, and low exposure environments, and could be described by the exponential growth model.
Jimin Hong,Yoon Shin,Sebum Chun,Sangwoo Youk,Jinkyu Kim,Wonho Cha,Seongog Park,Seunguk Lee1,Suhwan Park,Jeong-Heon Kim,KWANG-SUN RYU 한국우주과학회 2024 우주기술과 응용 Vol.4 No.2
Sounding rockets are cost-effective and rapidly deployable tools for directly exploring the ionosphere and microgravity environments. These rockets achieve their target altitudes quickly and are equipped with various scientific instruments to collect real-time data. Perigee Aerospace plans its inaugural test launch in the first half of 2024, followed by a second performance test launch in January 2025. The second launch, scheduled off the coast of Jeju Island, aims to reach an altitude of approximately 150 km with a payload of 30 kg, conducting various experiments in the suborbital region. Particularly in mid-latitude regions, the ionosphere sporadically exhibits increased electron densities in the sporadic E layers and magnetic fluctuations caused by the equatorial electrojet. To measure these phenomena, the sounding rocket version of ionospheric anomaly monitoring by magnetometer and plasma-probe (IAMMAP), currently under development at the KAIST Satellite Research Center, will be onboard. This study focuses on enhancing our understanding of the mid-latitude ionosphere and designing observable missions for the forthcoming performance tests. 사운딩 로켓은 저렴한 비용과 빠른 개발 기간을 통해 전리권이나 무중력 환경을 직접 탐사하는 유용한 도구이다. 이러한 로켓은 목표 고도에 신속하게 도달하며, 다양한 과학적 장비를 탑재하여 데이터를 실시간으로 수집할 수 있다. 페리지에어로스페이스㈜는 2024년 상반기에 첫 시험 발사를 진행한 뒤, 2025년 1월경에는 2차 성능시험 사운딩 로켓을 발사할 예정이다. 이 로켓은 제주 해상에서 발사될 예정이며, 약 150 km의 목표 고도에 총 30 kg의 탑재체를 싣고, 준궤도 영역에서 다양한 실험을 수행할 것이다. 특히, 중위도 지역의 전리권에서는 간헐적으로 전자 밀도가 증가하는 스포라딕 E층과 적도 전기제트에 의한 자기장의 미세변화를 관측할 수 있을 것으로 예상된다. 이러한 관측을 위해 KAIST 인공위성연구소에서 개발 중인 탑재체 IAMMAP(ionospheric anomaly monitoring by magnetometer and plasma-probe)의 사운딩로켓 버전이 발사체에 실릴 예정이다. 본 연구는 중위도 지역의 전리권에 대해서 이해하고, 2차 성능시험에서의 관측 가능한 임무 설계에 중점을 두고자 한다.
Lee, Wonho,Kim, Jin-Seong,Kim, Hyeong Jun,Shin, Jae Man,Ku, Kang Hee,Yang, Hyunseung,Lee, Junhyuk,Bae, Jung Gun,Lee, Won Bo,Kim, Bumjoon J. American Chemical Society 2015 Macromolecules Vol.48 No.16
<P>Controlling the self-assembly of conjugated copolymers is of great importance in tuning their physical and optoelectronic properties, offering potential pathways to greatly enhance the performance of organic electronics. Here, we report the synthesis of rod-coil graft copolymers containing an electroactive conjugated rod-like backbone and polymer coils as grafts and demonstrate the control of their ordered nanostructures. As a model system, we synthesized light-emitting poly(fluorene-alt-phenylene) (PFP) alternating copolymers and then grafted poly(2-vinylpyridine) (P2VP) chains with different lengths via a 'click' reaction to produce a series of PFP-g-P2VP graft copolymers with various P2VP volume fractions (f(P2VP)). Interestingly, PFP-g-P2VP rod coil copolymers assembled into well-ordered cylinders and lamellae depending on f(P2VP) values that resembled those of the coil coil type block copolymers, but with very different f(P2VP) values for the morphological transitions (i.e., cylinders to lamellae). The morphological behavior of these graft copolymers was investigated using self-consistent-field theory simulations. Furthermore, by fully exploiting the controlled nanostructures of PFP-g-P2VP and the strong emitting properties of the PFP backbone, we developed multicolor colloidal particles that emit a broad range color spectrum from blue, white, and orange light. Our synthetic approach paves a new method for modulating the self-assembled nanostructures of rod coil copolymers and their optoelectronic properties.</P>
Machine learning for a rapid discrimination of ginseng cultivation age using 1H-NMR spectra
Lee Wonho,Yoon Dahye,Ma Seohee,Lee Dae Young,Lee Jae Won,Jo Ick-Hyun,Kim Taekwang,김석만 한국응용생명화학회 2020 Applied Biological Chemistry (Appl Biol Chem) Vol.63 No.5
The scientific and systematic classification of cultivation age is important for preventing age falsification and ensuring the quality of ginseng. Therefore, we applied deep learning to classify the cultivation age of ginseng. Deep learning, which is based on an artificial neural network, is one of the new class of models for machine learning, and is state-of-the-art. It is a powerful tool and has been used to solve complex problems in many fields. In the present study, powdered samples of 4-, 5-, and 6-year-old ginseng were measured using high-resolution magic angle spinning nuclear magnetic resonance (HR-MAS NMR) spectroscopy. NMR data were analyzed with deep learning and partial least-squares discriminant analysis (PLS-DA) to improve accuracy. The accuracy of the PLS-DA was 87.1% and the accuracy of the deep learning model was 93.9%. NMR spectroscopy with deep learning can be a useful tool for discrimination of ginseng cultivation age.
[PB-0037] Identification of salt tolerance genes using QTL mapping in soybean mutant
Chang Yeok Moon(Chang Yeok Moon),Byeong Hee Kang(Byeong Hee Kang),Woon Ji Kim(Woon Ji Kim),Sehee Kang(Sehee Kang),Wonho Lee(Wonho Lee),Hyeon-Seok Lee(Hyeon-Seok Lee),Bo-Keun Ha(Bo-Keun Ha) 한국육종학회 2022 한국육종학회 공동학술발표집 Vol.2022 No.-
Multiple scattering Compton camera with neutron activation for material inspection
Lee, Taewoong,Lee, Wonho Elsevier 2015 Nuclear Instruments & Methods in Physics Research. Vol.784 No.-
<P><B>Abstract</B></P> <P>We designed a multiple scattering Compton camera (MSCC) based on a lanthanum bromide (LaBr<SUB>3</SUB>:Ce) scintillator to detect neutron-activated prompt gamma-rays for material inspection. The system parameters such as detector thickness and inter-detector distances were optimized on the basis of figure of merit (FOM). The FOM was maximized when the inter-detector distance and detector thickness were 18cm and 1.5cm, respectively. Under the optimized conditions, energy spectra and spatial images were obtained to identify various substances, and the results matched well with theoretical data. The probability of multiple Compton scattering was higher than that of conventional Compton scattering at high energies (~MeV), which proved the effectiveness of MSCC to detect prompt gamma-rays. Simulations with realistic conditions showed the feasibility of using the MSCC investigate of materials in field applications.</P>
Lee, Changyeon,Li, Yuxiang,Lee, Wonho,Lee, Youngmin,Choi, Joonhyeong,Kim, Taesu,Wang, Cheng,Gomez, Enrique D.,Woo, Han Young,Kim, Bumjoon J. American Chemical Society 2016 Macromolecules Vol.49 No.14
<P>The control of the bulk-heterojunction (BHJ) morphology in polymer/polymer blends remains a critical hurdle for optimizing all-polymer solar cells (all-PSCs). The relationship between donor/acceptor phase separation, domain size, and the resulting photovoltaic characteristics of PDFQx3T and P(NDI2OD-T2)-based all-PSCs was investigated. We varied the film-processing solvents (chloroform, chlorobenzene, o-dichlorobenzene, and p-xylene), thereby manipulating the phase separation of all-polymer blends with the domain size in the range of 30-300 nm. The different volatility and solubility of the solvents strongly influenced the aggregation of the polymers and the BHJ morphology of polymer blends. Domain sizes of all-polymer blends were closely correlated with the short-circuit current density (J(SC)) of the devices, while the open-circuit voltage (0.80 V) and fill factor (0.60) were unaffected. All-PSCs with the smallest domain size of similar to 30 nm in the active layer (using chloroform), which is commensurate with the domain size of highly efficient polymer/fullerene solar cells, had the highest J(SC) and power conversion efficiency of 5.11% due to large interfacial areas and efficient exciton separation. Our results suggest that the BHJ morphology was not fully optimized for most of the previous high-performance all-PSC systems, and their photovoltaic performance can be further improved by fine-engineering the film morphology, i.e., domain size, domain purity, and polymer packing structure.</P>