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Morphology control in Germanium/Carbon Nanostructure anode material for lithium ion battery
신재훈,박경원,김민철,문상현,김현아,김요섭,최진혁,김성범,김지환,장재성 한국공업화학회 2020 한국공업화학회 연구논문 초록집 Vol.2020 No.-
리튬이온전지는 상용화된 이차전지 중 에너지 밀도가 가장 높은 이차전지로서 휴대용의 소형 전지에서부터 전기 자동차나 에너지 저장 시스템 같은 중대형 전지까지 응용 범위가 확대되고 있다. 기존의 리튬이온전지와 비교하여 용량을 늘리고 가격을 낮추기 위해 적합한 양극과 음극의 활물질에 대한 연구가 진행되고 있다. 음극에서 Ge는 높은 이론용량, 에너지밀도와 이온전도를 가져 카본계 물질을 대체할 물질로서 많은 관심을 받고 있다. 그러나 충·방전 과정에서 Li<sup>+</sup> 이온과 합금화 반응을 하여 발생하는 부피변화로 인해 용량이 급격하게 감소하는 한계점이 있다. 이러한 점을 개선하기 위해 본 연구에서는 Ge와 Activated carbon의 복합체를 합성하여 Morphology control을 형성했다. X선 회절 분석(X-ray diffraction, XRD), 주사전자현미경(Scanning electron spectroscopy, SEM) 등의 분석법을 통해 복합체의 구조분석을 진행하여 Ge와 Activated carbon의 복합체의 Morphology를 확인하였다. 또한 복합체 형성으로 인한 전기 화학적 성능 개선을 확인하기 위하여 장기 안정성 테스트와 율속특성 테스트를 이용하여 평가를 진행했다.
신재훈,이경미,신지민,강규동,노주원,조윤신 한국유전학회 2019 Genes & Genomics Vol.41 No.5
Background Type 2 diabetes (T2D) is known as an inflammatory disease. NRF2 (Nuclear Factor Erythroid 2 Like2) encodes a transcription factor that binds to antioxidant response elements (AREs) and regulates the expression of genes involved in many antioxidant responses. Objective This study aimed to gain insight into individual anti-inflammatory activity to prevent T2D development in humans. Methods We performed a genome-wide association study (GWAS) to identify genetic variants influencing NRF2 expression in LCLs (lymphoblastoid cell lines) generated from 74 different individuals. Association analyses between T2D or its related traits and genetic risk score (GRS) calculated by combining genetic variants detected from GWAS for cellular NRF2 expression were performed using data from 8715 subjects. The T2D prediction model using GRS was evaluated by measuring the area under the curve (AUC) of the receiver operating characteristics (ROC) curve. Results Our GWAS identified six genetic variants (SNP) showing suggestive evidence of associations with cellular NRF2 expression (P < 10− 6). Logistic regression analysis demonstrated that GRS was associated with an increased risk of T2D (P value = 0.003, OR = 1.13). In addition, linear regression analyses showed positive associations between GRS and fasting glucose (P value = 0.028, β = 0.62), 2-h glucose (P value = 0.0004, β = 1.13) and HbA1C (P value = 0.033, β = 0.03). In the T2D prediction model using GRS, the AUC of the ROC curve was 0.69. Conclusion This study highlights genetic variants associated with cellular NRF2 expression and suggests that the GRS of NRF2 expression-associated variants is likely to be a useful indicator of T2D development in the human population.
신재훈,이계엽,이정택 한국농업정보과학회 2000 농업정보과학 Vol.2 No.1
This paper introduces the Agrometeorological Network and Information System. Twenty-one Automatic Weather Station (AWS) installed in Regional Agriculture Technology Center (ATC) were integrated into a network system based on the Internet. Also, this system was connected to the Korea Meteorological Administration (KMA) with high speed network for acquisition of data from national weather observation offices. In addition, daily agricultural climate data which had been compiled in 92 ATCs in the past 30 years were computerized into an integrated climate database. Bnsed on this database system, three main information services were developed. These are: a) real-time weather information including current agricultural weather condition at ATC and KHTA office by geographic maps as well as table format, b) climate database with search-ing and comparative analysis menus, and c) climate analysis infermation for farmers, such as greenhouse heat-ing requirement calculator, soil water content calculator, and growing degree days calculator.