• Title/Summary/Keyword: Chemical Reaction Network

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Preparation of the MnO2/Macroporous Carbon for PET Glycolysis

  • Choi, Bong Gill;Yang, MinHo
    • Journal of Powder Materials
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    • v.25 no.3
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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.

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

  • Choi, Han-Soo;Kang, Myungjoo;Kim, Yong Cheol;Choi, Hanna
    • Journal of Soil and Groundwater Environment
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    • v.25 no.3
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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.

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

  • Chung, In-Young
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.45 no.12
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    • pp.8-14
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    • 2008
  • A fully CMOS-integrated carbon nanotube (CNT) sensor array is proposed. After the sensor chip is fabricated in commercial CMOS process, the CNTs network is formed on the top of the fabricated sensor chip through the room-temperature post-CMOS processes. When the resistance of the CNT is changed by the chemical reaction, the read-out circuit in the chip measures the charging time of the $R_{CNT}$-Capacitor. finally the information of measured frequency is converted to a digital code. The CMOS sensor chip was fabricated by standard 0.18um technology and the size of the $8{\times}8$ sensor array is $2mm{\times}2mn$. We have carried out an experiment detecting the biochemical material, glutamate, using this sensor chip. From the experiment the CMOS sensor chip shows the feasibility of sensor for the simultaneous detection of the various target materials.

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

  • Kim, Byoung-Woo;Lee, Sung-Hwan;Kim, Sung-Wan;Park, Jae-Hyun;Kim, Jun-Ho;Park, Seong-Soo;Park, Hee-Chan
    • Journal of the Korean Ceramic Society
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    • v.39 no.11
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    • pp.1063-1068
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    • 2002
  • Polyimide/silica(PI/silica) hybrid materials having physical or chemical bonds between the PI and silica network were prepared using sol-gel process through hydrolysis and polycondensation of tetraethoxysilane with the polyamic Acid(PAA) or end-capped PAA solution. PAA solution was synthesized by ring opening reaction of pyromellitic dianhydride and oxydianiline monomers in dimethyl acetamide solution. End-capped PAA solution was synthesized by the addition of 3-aminopropyltriethoxysilane in PAA solution. PI/silica hybrid samples were characterized by infrared spectroscopy, differential thermogravimetry, X-ray diffractometry, scanning electron microscopy, and tensile tester. It has been demonstrated that the properties of hybrid samples were affected by the silica content and the bond type between PI and silica.

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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    • v.10 no.6
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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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    • v.13 no.4
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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.

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

  • Hwang, Young-Eun;Lee, Gil-Hyung;Yoon, Sung-Ho
    • Composites Research
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    • v.22 no.5
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    • pp.37-42
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    • 2009
  • Thermal analysis properties and chemical structure of carbon fiber/epoxy composites under environmental exposure were examined using an accelerated aging tester which can simulate real weather conditions such as temperature, moisture and ultraviolet. The composite specimens were exposed to combined environmental factors up to 3000 hours. Thermal analysis properties and chemical structure of the composites were evaluated with various exposure times through Modulated DSC and FTIR. According to the results of Modulated DSC, the glass transition temperature increased as exposure time increased due to the formation of network structures in the composites. Also endotherm peaks of enthalpy relaxation related to physical aging that can affect the properties of the composites were observed as exposure time increased. From the results of FTIR, it was found that the location of the peaks was little affected by exposure time, but the intensity of the peaks slightly decreased as exposure time increased due to the curing reaction in the epoxy group.

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

  • Jo, Byung-Wook;Choi, Jae-Kon;Kim, Joon-Seop;Choi, Soo-Kyung
    • Elastomers and Composites
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    • v.40 no.2
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    • pp.136-142
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    • 2005
  • Liquid crystalline poly(allylsulfone) networks having $SO_2$ in a main chain and mesogens in a side chain were synthesized and their gas permeability and permselectivity were determined. The monomer II having two allyl groups on the each end group was able to form polymer networks by polymerization reaction, while the monomer I having only one allyl group was not. Molecular motion of the poly(allylsulfone) networks were retarded with increasing the cross-linking density, and the segmental motion of networks was developed enough to show isotropic phase transition. Gas permeabilities of poly(II-5 $01/I-OCH_3$ 99) were 2.58 baller for $O_2$ and 18.4 barrer for $H_2$. It means that hydrogen gas are 7 times more permeable than oxygen. Its permselectivities were high as 23.9 for ${\alpha}(H_2/N_2)$. The permselectivity was increased with increasing the cross-linking density. For example, ${\alpha}(H_2/N_2)$ was 36.8 in poly(II-5 $10/I-OCH_3$ 90), which was shown to be the highest value among these poly(allylsulfone) networks.

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

  • 황병호
    • Journal of Korea Foresty Energy
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    • v.23 no.1
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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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Preparation of Pt/C catalyst for PEM fuel cells using polyol process (Polyol Process를 통한 PEM Fuel Cell용 Pt/C촉매 제조)

  • Oh, Hyoung-Seok;Kim, Han-Sung
    • 한국신재생에너지학회:학술대회논문집
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    • 2006.11a
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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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