• 제목/요약/키워드: Chemical Reaction Network

검색결과 76건 처리시간 0.022초

Preparation of the MnO2/Macroporous Carbon for PET Glycolysis

  • Choi, Bong Gill;Yang, MinHo
    • 한국분말재료학회지
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    • 제25권3호
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    • pp.203-207
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    • 2018
  • Plastic pollution is threatening human health and ecosystems, resulting in one of the biggest challenges that humanity has ever faced. Therefore, this study focuses on the preparation of macroporous carbon from biowaste (MC)-supported manganese oxide ($MnO_2$) as an efficient, reusable, and robust catalyst for the recycling of poly(ethylene terephthalate) (PET) waste. As-prepared $MnO_2/MC$ composites have a hierarchical pore network and a large surface area ($376.16m^2/g$) with a narrow size distribution. $MnO_2/MC$ shows a maximum yield (98%) of bis(2-hydroxyethyl)terephthalate (BHET) after glycolysis reaction for 120 min. Furthermore, $MnO_2/MC$ can be reused at least nine times with a negligible decrease in BHET yield. Based on this remarkable catalytic performance, we expect that $MnO_2$-based heterogeneous catalysts have the potential to be introduced into the PET recycling industry.

서울 관악구 도심지역 미세먼지(PM10) 관측 값을 활용한 딥러닝 기반의 농도변동 예측 (Deep Learning-based Prediction of PM10 Fluctuation from Gwanak-gu Urban Area, Seoul, Korea)

  • 최한수;강명주;김용철;최한나
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제25권3호
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    • pp.74-83
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    • 2020
  • Since fine dust (PM10) has a significant influence on soil and groundwater composition during dry and wet deposition processes, it is of a vital importance to understand the fate and transport of aerosol in geological environments. Fine dust is formed after the chemical reaction of several precursors, typically observed in short intervals within a few hours. In this study, deep learning approach was applied to predict the fate of fine dust in an urban area. Deep learning training was performed by combining convolutional neural network (CNN) and recurrent neural network (RNN) techniques. The PM10 concentration after 1 hour was predicted based on three-hour data by setting SO2, CO, O3, NO2, and PM10 as training data. The obtained coefficient of determination value, R2, was 0.8973 between predicted and measured values for the entire concentration range of PM10, suggesting deep learning method can be developed into a reliable and viable tool for prediction of fine dust concentration.

CNT 배열을 이용한 bio-sensor SoC 설계 (A bio-sensor SoC Platform Using Carbon Nanotube Sensor Arrays)

  • 정인영
    • 대한전자공학회논문지SD
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    • 제45권12호
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    • pp.8-14
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    • 2008
  • 본 논문에서는 $8{\times}8$ CNT 센서 어레이를 CMOS 공정 후 처리를 통하여 센서회로가 제작된 CMOS 칩에 집적시켜 측정장비 없이도 자체적으로 감지결과를 출력할 수 있는 센서 칩의 기본적인 플랫폼을 설계 제작한 결과를 보고한다. 센서 소자로는 알루미늄 패드 사이에 연결된 CNT network을 사용하였으며 생화학적 반응에 의하여 전기전도도가 변화하는 것을 감지한다. 표준 CMOS 공정의 감지회로는 CNT network의 저항 값 변동에 의해 ring oscillator의 주파수가 변동하는 것을 감지하는 방식을 사용한다. 제작된 CMOS 센서 칩을 활용하여 이를 대표적인 생화학물질인 glutamate을 검출하는데 실험적으로 적용하여 농도에 따른 출력결과 값을 얻는데 성공한다. 본 연구를 통하여 본 센서 칩 플랫폼을 이용한 상용화의 가능성을 확인하며, 추가적으로 개발이 필요한 기술에 대해 파악한다.

졸-겔법을 이용하여 알콕사이드 전구체로부터 합성된 Polyimide-silica 혼성체의 특성 (Characteristics of Polyimide-silica Hybrid Materials Prepared from Alkoxide Precursor Using Sol-gel Process)

  • 김병우;이성환;김성완;박재현;김준호;박성수;박희찬
    • 한국세라믹학회지
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    • 제39권11호
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    • pp.1063-1068
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    • 2002
  • Polyimide와 silica에 물리적 또는 화학적으로 결합된 Polyimide/silica(PI/silica) 혼성체들을 졸-겔법을 통하여 Polyamic Acid(PAA) 또는 end-capped PAA 용액에 tetraethoxysilane을 가수 분해 및 축 중합시켜서 제조하였다. PAA 용액은 dimethylacetamide 용액 내에서 pyromellitic dianhydride와 oxydianiline 단량체들을 개환 반응으로 합성하였다. End-capped PAA 용액은 PAA 용액에 3-aminopropyltriethoxysilane을 첨가하여 제조하였다. 적외선 분광기, 시차 열분석기, X-선 회절 분석기, 주사 전자현미경 및 인장 강도 시험기를 통하여 PI/silica 혼성체 시편들의 특성을 분석하였다. 혼성체 시편들의 물성은 PI와 silica간의 결합형 및 silica의 함량에 의해 영향을 받는다는 것을 확인하였다.

A Study on the Thermal and Chemical Properties of Carbon Nanotube Reinforced Nanocomposite in Power Cables

  • Yang, Sang-Hyun;Jang, Hyeok-Jin;Park, Noh-Joon;Park, Dae-Hee;Yang, Hoon;Bang, Jeong-Hwan
    • Transactions on Electrical and Electronic Materials
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    • 제10권6호
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    • pp.217-221
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    • 2009
  • The use of the carbon nanotube (CNT) is superior to the general powder state materials in their thermal and chemical properties. Because its ratio of diameter to length (aspect ratio) is very large, it is known to be a type of ideal nano-reinforcement material. Based on this advantage, the existing carbon black of the semiconductive shield materials used in power cables can acquire excellent properties by the use of a small amount of CNTs. Therefore, we fabricated specimens using a solution mixing method. We investigated the thermal properties of the CNT, such as its storage modulus, loss modulus, and its tan delta using a dynamic mechanical analysis 2980. We found that a high thermal resistance level is demonstrated by using a small amount of CNTs. We also investigated the chemical properties of the CNT, such as the oxidation reaction by using Fourier transform infrared spectroscopy (FT-IR) made by Travel IR. In the case of the FT-IR tests, we searched for some degree of oxidation by detecting the carboxyl group (C=O). The results confirm a tendency for a high cross-linking density in a new network in which the CNTs situated between the carbon black constituent molecules show a bond using similar constructive properties.

Prediction of Maximum Yields of Metabolites and Optimal Pathways for Their Production by Metabolic Flux Analysis

  • Hong, Soon-Ho;Moon, Soo-Yun;Lee, Sang-Yup
    • Journal of Microbiology and Biotechnology
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    • 제13권4호
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    • pp.571-577
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    • 2003
  • The intracellular metabolic fluxes can be calculated by metabolic flux analysis, which uses a stoichiometric model for the intracellulal reactions along with mass balances around the intracellular metabolites. In this study, metabolic flux analyses were carried out to estimate flux distributions for the maximum in silico yields of various metabolites in Escherichia coli. The maximum in silico yields of acetic acid and lactic acid were identical to their theoretical yields. On the other hand, the in silico yields of succinic acid and ethanol were only 83% and 6.5% of their theoretical yields, respectively. The lower in silico yield of succinic acid was found to be due to the insufficient reducing power. but this lower yield could be increased to its theoretical yield by supplying more reducing power. The maximum theoretical yield of ethanol could be achieved, when a reaction catalyzed by pyruvate decarboxylase was added in the metabolic network. Futhermore, optimal metabolic pathways for the production of various metabolites could be proposed, based on the results of metabolic flux analyses. In the case of succinic acid production, it was found that the pyruvate carboxylation pathway should be used for its optimal production in E. coli rather than the phosphoenolpyruvate carboxylation pathway.

복합적인 환경인자의 영향에 따른 탄소섬유/에폭시 복합재의 열화 특성 (Effect of Combined Environmental Factors on Degradation Behavior of Carbon Fiber/Epoxy Composites)

  • 황영은;이길형;윤성호
    • Composites Research
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    • 제22권5호
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    • pp.37-42
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    • 2009
  • 온도, 수분 및 자외선과 같은 자연환경을 모사할 수 있는 가속노화시험장치를 적용하여 복합적인 환경인자에 노출된 탄소섬유/에폭시 복합재의 열분석 특성과 화학구조분석을 수행하였다. 복합적인 환경인자의 최대 노출시간은 3000시간으로 노출시간에 따른 복합재의 열분석 특성과 화학구조는 Modulated DSE와 FTIR을 통해 조사하였다. Modulated DSC 시험을 통한 연우-결과에 따르면 노출시간이 증가할수록 복합재 내에 치밀한 망사 구조가 형성되어 유리전이온도는 증가함을 알 수 있었다. 또한 노출시간이 증가할수록 복합재의 특성에 영향을 미치는 물리시효가 발생하여 엔탈피 완화현상을 나타내는 흡열 피크가 관찰되었다. 아울러 FTIR 시험을 통해 관찰된 피크의 위치는 노출시간에 큰 영향을 받지 않지만 피크의 세기는 노출시간이 증가할수록 에폭시기에 발생되는 경화 반응으로 인해 점차 감소함을 알 수 있었다.

액정폴리알릴술폰의 합성 및 기체 선택투과 특성 (Synthesis and Selective Gas Permeability of Liquid Crystalline Poly(allyl sulfone) Networks)

  • 조병욱;최재곤;김준섭;최수경
    • Elastomers and Composites
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    • 제40권2호
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    • pp.136-142
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    • 2005
  • 주사슬에 $SO_2$를 포함하고 곁사슬에는 메소겐기을 유연격자에 연결시킨 액정 poly (allylsulfone) network를 합성하여 이들의 기체 투과도 및 선택투과 특성을 조사하였다. 곁사슬에 메톡시를 갖는 단량체I은 한 개의 알릴단위를 갖고, 단량체II는 양쪽 말단에 두개의 알릴 단위를 가져 network 형성을 제어할 수 있도록 구성되었다 가교밀도의 증가는 고분자 network 내의 분자운동을 제한시키며 단량체 II 함량이 5% 이하인 경우는 segment의 운동이 충분히 펼쳐질 수 있어 등방상으로의 상전이가 일어날수 있다. Poly(II-5 $01/I-OCH_3$ 99)의 기체 투과도는 산소($O_2$)의 경우 2.58 barrel 인데 비하여, 수소($H_2$)의 경우는 18.4 barrer로서, 선택 투과도 ${\alpha}(H_2/O_2)$가 7에 가까우며, 또 선택 투과도 ${\alpha}(H_2/N_2)$는 23.9로서 가장 높은 값을 가짐을 관찰하였다. 가교도가 10%로 증가된 Poly(II-5 $10/I-OCH_3$ 90)의 경우 선택 투과도 ${\alpha}(H_2/N_2)$는 36.8로서 가교도 증가에 따르는 선택투과도의 증가를 보여주었다.

리그닌 화학구조 모델의 역사적 고찰 (Historical Consideration of Lignin Models for Native Lignin Structure)

  • 황병호
    • 임산에너지
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    • 제23권1호
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    • pp.45-68
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    • 2004
  • The word of lignin is derived from the Latin word 'ligum' meaning wood. Lignin is complex polymer consisting of coniferyl alcohol, sinapyl alcohol and p-coumaryl alcohol unit and has an amorphous, three dimensional network structure which is hard to be hydrolyzed by acid. Lignin is found in the cell wall of plants lignified. The mode of polymerization of these alcohols in the cell wall lead to a heterogeneous branched and cross-linked polymer in which phenyl propane units are linked by carbon-carbon and carbon-oxygen bonds. This polymerization of precursors, p-coumaryl alcohol, coniferyl alcohol and sinapyl alcohol to lignin is formed by enzymic dehydrolyzation. The reaction is initiated by an electron transfer which results in the formation of resonance-stabilized phenoxy radical. The combination of these radicals produces a variety of dimers, trimers and oligomers and so on. Lignin research has been divided into basic and practical application field. The basic studies contains biosynthesis, chemical structure, distribution in the cell wall and reactivity by reductants, oxidants and organic solvents. The application research will be approached the reaction of lignin in various pulp making involving pulp bleaching and its effect on pulp qualities. Lignin also will be studied for the production of fine chemicals, polymer products and the conservation into an energy source like petroleum oil because the amount of lignin produced in pulp making process is more than 51,000,000 tons per year in the world. Both basic and application research must lay emphasis on the development for the utilization of lignin and the pulping process. But these researches can not be completed without understanding lignin structure containing functional groups. Therefore, this paper was focused on the review of lignin formulation which has been studied since 1948 in chronological order. This review was based on monomers, dimers, trimers and tetramers of phenyl propane unit structures which were isolated and identified by different methods from various wood.ious wood.

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Polyol Process를 통한 PEM Fuel Cell용 Pt/C촉매 제조 (Preparation of Pt/C catalyst for PEM fuel cells using polyol process)

  • 오형석;김한성
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2006년도 추계학술대회
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    • pp.443-446
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    • 2006
  • Carbon-supported Platinum (Pt) is the potential electro-catalyst material for anodic and cathodic reactions in fuel cell. Catalytic activity of the metal strongly depends on the particle shape, size and distribution of the metal in the porous supportive network. Conventional preparation techniques based on wet impregnation and chemical reduction of the metal precursors often do not provide adequate control of particle size and shape. We have proposed a novel route for preparing nano sized Pt colloidal particles in solution by oxidation of ethylene glycol. These Pt nano particles were deposited on large surface area carbon support. The process of nano Pt colloid formation involves the oxidation of solvent ethylene glycol to mainly glycolic acid and the presence of its anion glycolate depends on the solution pH. In the process of colloidal Pt formation glycolate actsas stabilizer for the Pt colloidal particle and prevents the agglomeration of colloidal Pt particles. These mono disperse Pt particles in carbon support are found uniformly distributed in nearly spherical shape and the size distribution was narrow for both supported and unsupported metals. The average diameter of the Pt nano particle was controlled in the range off to 3 nm by optimizing reaction parameters. Transmission electron microscopy, CV and RRDE experiments were used to compliment the results.

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