7-ketohexadecane-1,16-dicarboxylic acid methyl ester | 101880-91-5

• 分子结构分类: 有机化合物 - 脂质和类脂质分子 - 脂肪酰基
• 英文名称: 7-ketohexadecane-1,16-dicarboxylic acid methyl ester
• 英文别名: 7-oxo-hexadecanedioic acid dimethyl ester；7-Oxo-hexadecandisaeure-dimethylester；dimethyl 7-oxohexadecanedioate
• CAS: 101880-91-5
• 化学式: C₁₈H₃₂O₅
• 分子量: 328.449
• InChiKey: VETUUEPRUIOXQZ-UHFFFAOYSA-N

计算性质

• 辛醇/水分配系数(LogP)：
  3.97
• 重原子数：
  23.0
• 可旋转键数：
  15.0
• 环数：
  0.0
• sp3杂化的碳原子比例：
  0.83
• 拓扑面积：
  69.67
• 氢给体数：
  0.0
• 氢受体数：
  5.0

反应信息

• 作为产物：
  描述：

  hexadecane-1,7,16-triol 在 chromium trioxide-pyridine complex 作用下， 以 吡啶 为溶剂， 生成 7-ketohexadecane-1,16-dicarboxylic acid methyl ester
  参考文献：
  名称：

  Constituent of pollen. XIII Constituents of Cedrus deodara Loud. (2)

  摘要：

  从欧洲雪松（Cedrus deodara LOUD.）的花粉粒中发现了五种已知化合物、分离出了五种已知化合物：脱氢松香酸（I）、15-羟基脱氢松香酸（II）、7α，18-二羟基脱氢松香醇（IV）、柚皮苷（VI）和 β-谷甾醇 β-D-葡萄糖苷（VII），以及两种新化合物：7β，15-二羟基脱氢松香酸（III）和十六烷-1，16-二醇 7-咖啡酰酯（V）。根据光谱研究和化学证据阐明了 III 和 V 的结构。

  DOI：

  10.1248/cpb.35.229

文献信息

• Using Direct Current Resistivity Sounding and Geostatistics to Aid in Hydrogeological Studies in the Choshuichi Alluvial Fan, Taiwan
  作者：Chieh-Hou Yang、Wei-Feng Lee

  DOI：10.1111/j.1745-6584.2002.tb02501.x

  日期：2002.3

  AbstractGround water reservoirs in the Choshuichi alluvial fan, central western Taiwan, were investigated using direct‐current (DC) resistivity soundings at 190 locations, combined with hydrogeological measurements from 37 wells. In addition, attempts were made to calculate aquifer transmissivity from both surface DC resistivity measurements and geostatistically derived predictions of aquifer properties.DC resistivity sounding data are highly correlated to the hydraulic parameters in the Choshuichi alluvial fan. By estimating the spatial distribution of hydraulic conductivity from the kriged well data and the cokriged thickness of the correlative aquifer from both resistivity sounding data and well information, the transmissivity of the aquifer at each location can be obtained from the product of kriged hydraulic conductivity and computed thickness of the geoelectric layer. Thus, the spatial variation of the transmissivities in the study area is obtained.Our work is more comparable to Ahmed et al. (1988) than to the work of Niwas and Singhal (1981). The first “constraint” from Niwas and Singhal's work is a result of their use of linear regression. The geostatistical approach taken here (and by Ahmed et al. [1988]) is a natural improvement on the linear regression approach.