3-乙氧基癸烷 | 91635-41-5

• 分子结构分类: 有机化合物 - 有机氧化合物
• 中文名称: 3-乙氧基癸烷
• 英文名称: 3-Aethoxy-decan
• 英文别名: 3-ethoxydecane；ethyl-(1-ethyl-octyl)-ether；Aethyl-(1-aethyl-octyl)-aether；3-Ethoxy-decane
• CAS: 91635-41-5
• 化学式: C₁₂H₂₆O
• 分子量: 186.338
• InChiKey: RCXBDRUTHVNWHC-UHFFFAOYSA-N

物化性质

• 沸点：
  214.9±8.0 °C(Predicted)
• 密度：
  0.798±0.06 g/cm3(Predicted)

计算性质

• 辛醇/水分配系数(LogP)：
  4.8
• 重原子数：
  13
• 可旋转键数：
  9
• 环数：
  0.0
• sp3杂化的碳原子比例：
  1.0
• 拓扑面积：
  9.2
• 氢给体数：
  0
• 氢受体数：
  1

反应信息

• 作为反应物：
  描述：

  3-乙氧基癸烷 在 三氯化硼 作用下， 生成 3-氯癸烷
  参考文献：
  名称：

  Exact and approximate sum representations for the Dirichlet process

  摘要：

  AbstractThe Dirichlet process can be regarded as a random probability measure for which the authors examine various sum representations. They consider in particular the gamma process construction of Ferguson (1973) and the “stick‐breaking” construction of Sethuraman (1994). They propose a Dirichlet finite sum representation that strongly approximates the Dirichlet process. They assess the accuracy of this approximation and characterize the posterior that this new prior leads to in the context of Bayesian nonpara‐metric hierarchical models.

  DOI：

  10.2307/3315951
• 作为产物：
  描述：

  溴乙烷 、 alkaline earth salt of/the/ methylsulfuric acid 在 苯 作用下， 生成 3-乙氧基癸烷
  参考文献：
  名称：

  Exact and approximate sum representations for the Dirichlet process

  摘要：

  AbstractThe Dirichlet process can be regarded as a random probability measure for which the authors examine various sum representations. They consider in particular the gamma process construction of Ferguson (1973) and the “stick‐breaking” construction of Sethuraman (1994). They propose a Dirichlet finite sum representation that strongly approximates the Dirichlet process. They assess the accuracy of this approximation and characterize the posterior that this new prior leads to in the context of Bayesian nonpara‐metric hierarchical models.

  DOI：

  10.2307/3315951

文献信息

• Selective synthesis of 2-ethoxy alkanes through ethoxylation of 1-alkenes with bioethanol over zeolite beta catalyst in a liquid phase continuous process
  作者：Sambhu Radhakrishnan、Joris Franken、Johan A. Martens

  DOI：10.1039/c2gc35220f

  日期：——

  1-Hexene was ethoxylated with ethanol and ethanol–water mixtures mimicking bioethanol in a liquid phase, continuous flow process over a fixed bed of zeolite beta catalyst at a reaction temperature of 423 K and a pressure of 6 MPa. The selectivity for ethoxy alkanes on a hexene basis exceeded 90%. GC-MS, 1H & 13C-NMR and 13C DEPT NMR confirmed the main reaction products to be 2-ethoxy hexane and 3-ethoxy hexane in molar ratio 20 : 1. Side products were diethyl ether from ethanol and dodecenes and hexanol from 1-hexene. Under optimized reaction conditions, the catalyst was stable for at least 14 hours on-stream. The 2-ethoxylation activity of 1-alkenes by zeolite beta was confirmed in reactions with 1-octene and 1-decene. 1-Alkenes can be synthesized out of biomass via conversion into synthesis gas and the Fischer–Tropsch process. The here presented ethoxylation process could contribute green chemicals to the diesel pool and presents a pathway for synthesis of high boiling solvents.

  1-己烯在423 K的反应温度和6 MPa的压力下，使用以乙醇和模仿生物乙醇的乙醇-水混合物进行液相、连续流动反应，通过固定床的β沸石催化剂进行反应。以己烯为基础的乙氧烷烃选择性超过90%。GC-MS、1H和13C NMR以及13C DEPT NMR确认主要反应产物为2-乙氧己烷和3-乙氧己烷，其摩尔比为20:1。副产品包括来自乙醇的二乙醚，以及来自1-己烯的十二烯和己醇。在优化的反应条件下，催化剂至少在在线状态下稳定14小时。通过与1-辛烯和1-癸烯的反应确认了β沸石对1-烯烃的2-乙氧化活性。1-烯烃可以通过转化为合成气和费托合成工艺从生物质中合成。这里提出的乙氧化过程可以为柴油池贡献绿色化学品，并为高沸点溶剂的合成提供了一条途径。
• Exact and approximate sum representations for the Dirichlet process
  作者：Hemant Ishwaran、Mahmoud Zarepour

  DOI：10.2307/3315951

  日期：2002.6

  AbstractThe Dirichlet process can be regarded as a random probability measure for which the authors examine various sum representations. They consider in particular the gamma process construction of Ferguson (1973) and the “stick‐breaking” construction of Sethuraman (1994). They propose a Dirichlet finite sum representation that strongly approximates the Dirichlet process. They assess the accuracy of this approximation and characterize the posterior that this new prior leads to in the context of Bayesian nonpara‐metric hierarchical models.