• 제목/요약/키워드: Diethyl azodicarboxylate

검색결과 6건 처리시간 0.022초

페니실린으로부터 유도된 4-Mercaptoazetidin-2-one 의 반응성 연구 (A Study on the Reactivites of a Penicillin-derived 4-Mercaptoazetidin-2-one)

  • 정규현;김형태;허홍일
    • 대한화학회지
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    • 제38권5호
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    • pp.372-376
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    • 1994
  • Penicillin으로부터 유도된 4-mercaptoazetidin-2-one(2a)은 염기조건에서 불안정하지만 Et3N이나 pyridine 염기하에서 acetyl chloride, methyl chloroformate, ethyl iodoacetate, diethyl azodicarboxylate 등의 친전자체와 반응하여 sulfur에 acetyl, methoxycarbonyl, ethoxycarbonylmethyl, diethoxycarbonylhydrazineo원자단이 부착된 화합물이 된다. 반면 thiol의 methylation은 methyl iodide와의 반응으로 얻을 수 없고 diazomethane을 사용해야 한다. 또한 화합물 2a의 이성질체인 화합물 3a의 반응성도 화합물 2a와 거의 비슷하다.

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Prediction of Solvent Effects on Rate Constant of [2+2] Cycloaddition Reaction of Diethyl Azodicarboxylate with Ethyl Vinyl Ether Using Artificial Neural Networks

  • Habibi-Yangjeh, Aziz;Nooshyar, Mahdi
    • Bulletin of the Korean Chemical Society
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    • 제26권1호
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    • pp.139-145
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    • 2005
  • Artificial neural networks (ANNs), for a first time, were successfully developed for the modeling and prediction of solvent effects on rate constant of [2+2] cycloaddition reaction of diethyl azodicarboxylate with ethyl vinyl ether in various solvents with diverse chemical structures using quantitative structure-activity relationship. The most positive charge of hydrogen atom (q$^+$), dipole moment ($\mu$), the Hildebrand solubility parameter (${\delta}_H^2$) and total charges in molecule (q$_t$) are inputs and output of ANN is log k$_2$ . For evaluation of the predictive power of the generated ANN, the optimized network with 68 various solvents as training set was used to predict log k$_2$ of the reaction in 16 solvents in the prediction set. The results obtained using ANN was compared with the experimental values as well as with those obtained using multi-parameter linear regression (MLR) model and showed superiority of the ANN model over the regression model. Mean square error (MSE) of 0.0806 for the prediction set by MLR model should be compared with the value of 0.0275 for ANN model. These improvements are due to the fact that the reaction rate constant shows non-linear correlations with the descriptors.

호모프탈산 무수물과 아조디카르복시산 에스테르 및 알킬리덴카르밤산 에스테르와의 고리화첨가반응 (Cycloaddition of Homophthalic Anhydrides to Azodicarboxylate and Alkylidenecarbamates)

  • 이윤영;김호현;구양모
    • 대한화학회지
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    • 제30권2호
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    • pp.243-247
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    • 1986
  • 호모프탈산 무수물(1또는 2)과 디에틸 아조디카르복시산 및 에틸 아릴메티리덴카르밤산과의 고리화첨가반응을 검토하였다. 전자의 반응에서는 2,3--디에톡시카르보닐-2,3-디히드로-1-히드록시프탈라진들(3 및 4)이 생성되었으며, 후자의 반응에서는 3-아릴-4카르복시-2-에톡시카르보닐-3,4-디히드로-1(2H)-이소퀴놀린온들(5~10)이 생성되었다.

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Renewable Monomer Based on Rosin in Photoinitiated Radical Polymerization

  • Shim, Sang-Yeon;Hong, Young-Taik
    • 한국응용과학기술학회지
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    • 제17권3호
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    • pp.192-197
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    • 2000
  • Rosin moeity-containing monomer was prepared by the reaction of abietic acid with 2-hydroxyethyl methacrylate in tetrahydrofuran(THF) using diethyl azodicarboxylate as a catalyst. This new monomer was photo-polymerized to give thin films in the presence of a radical type initiator. The rate of photo-polymerization and amount of cured polymer were determined using the residual yield method. A thermogravimetric analysis of the cured polymer showed that the film was stable up to 170oC, at which point the polymer film has lost 10 wt % of its weight.