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Sodium chloride에 노출된 Aeromonas sp. MH-8의 세포반응 조사
석지원,김동민,오계현 순천향대학교 기초과학연구소 2017 순천향자연과학연구 논문집 Vol.23 No.2
The purpose of this study is to investigate the cellular responses of Aeromonas sp. MH-8 exposed to sodium chloride (NaCl). Strain MH-8 was isolated from stale fish. Survival of the MH-8 strain with time in the presence of different concentrations of NaCl under sublethal conditions was monitored. Analysis of SDS-PAGE and Western blot using anti-DnaK and anti-GroEL revealed that two stress shock proteins, 70-kDa DnaK and 60-kDa GroEL were found to decrease in proportion to the NaCl concentrations in exponentially growing cultures. Scanning electron microscopic analysis demonstrated the presence of wrinkled surface containing perforations and irregular rod-shaped forms after treatment with NaCl. These results provide clues for understanding the mechanism of NaCl-induced stress and cytotoxicity on Aeromonas sp. MH-8
van der Waals Interactions of Graphene Membranes with a Sharp Silicon Tip
석지원,김태영,Richard D. Piner 한국물리학회 2015 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.67 No.12
Adhesive interactions of suspended graphene membranes were studied by using non-contact atomic force microscopy (AFM) with a sharp silicon tip. Circular graphene membranes were prepared by transferring large-area monolayer graphene onto a perforated substrate. The non-contact AFM imaging showed a fluctuation of the graphene membrane. The maximum deflection of a 2.7- μm-diameter membrane was about 26.8 nm. The dynamic deflection of the membrane is attributed to the van der Waals interactions between the graphene membrane and the silicon tip of the AFM, and the interaction force was estimated to be about 3.0 nN.
느타리버섯에서 분리한 Leuconostoc mesenteroides의 동정, 특성조사, 버섯추출물 첨가에 따른 생장변화
석지원,이현호,박상국,오계현 순천향대학교 기초과학연구소 2018 순천향자연과학연구 논문집 Vol.24 No.2
The aim of this study was to identify and characterize Leuconostoc mesenteroides isolated from oyster mushrooms, and to assess the enhanced production of organic acids by the addition of mushroom extracts. The isolate from mushroom was obtained via the enrichment culture technique. Both the BIOLOG system and phylogenetic analysis using 16S rRNA sequencing were utilized for identification, and the strain was designated as Leuconostoc mesenteroides. Phylogenetic tree of Leuconostoc mesenteroides was plotted based on 16S rRNA sequence comparisons. During an incubation period of 72 hours, the changes of bacterial growth, production of organic acids (e.g., lactic acid and acetic acid) as metabolites, and pH were monitored. HPLC methodology was used to analyze the production of organic acids in the test cultures. The isolate produced both lactic acid and acetic acid in the presence (10%) or absence of mushroom extracts, which were responsible for the pH decrease during growth. Compared to the cultures in the absence of mushroom extracts, the production of organic acids was increased in the presence of mushroom extracts. In the addition of mushroom extracts, maximum concentrations of lactic acid and acetic acid reached approximately 308.8 mM and 85.2 mM for this isolate.
라이다 기반 야지 환경 내 전방 노면 높이 프로파일 및 거칠기 추정 시스템
석지원,김소영,조재영,박정희,이채현,김양곤,조기춘 한국자동차공학회 2024 한국 자동차공학회논문집 Vol.32 No.5
Unmanned ground systems equipped with sensors, such as cameras, radar, and LiDAR, play a crucial role in detecting environmental conditions. Specifically, recognizing drivable areas in uneven terrain is essential in establishing stable navigation plans. Information on the oncoming road's height profile and roughness obtained from LiDAR sensors will help ensure safe navigation and effective control planning. This study introduces a real-time, LiDAR-based approaching road height profile and a roughness estimation system in perceiving unstructured outdoor environments. Considering the mechanical characteristics of the system, the proposed method estimates the driving path, and generates a road height profile by using LiDAR point clouds. Finally, we will be analyzing road roughness in the frequency domain, and will be classifying roughness based on the ISO 8608:2016 standard. Real-world experiments conducted in both off-road and on-road environments demonstrate the feasibility and effectiveness of the proposed system in estimating terrain roughness in real time