3α-acetoxy-5α-cholan-24-al | 86476-28-0

• 分子结构分类: 有机化合物 - 脂质和类脂质分子 - 类固醇和类固醇衍生物
• 英文名称: 3α-acetoxy-5α-cholan-24-al
• 英文别名: [(3R,5S,8R,9S,10S,13R,14S,17R)-10,13-dimethyl-17-[(2R)-5-oxopentan-2-yl]-2,3,4,5,6,7,8,9,11,12,14,15,16,17-tetradecahydro-1H-cyclopenta[a]phenanthren-3-yl] acetate
• CAS: 86476-28-0
• 化学式: C₂₆H₄₂O₃
• 分子量: 402.618
• InChiKey: RCBMGURCMZBTLG-ZPTOHEHUSA-N

计算性质

• 辛醇/水分配系数(LogP)：
  6.8
• 重原子数：
  29
• 可旋转键数：
  6
• 环数：
  4.0
• sp3杂化的碳原子比例：
  0.92
• 拓扑面积：
  43.4
• 氢给体数：
  0
• 氢受体数：
  3

反应信息

• 作为产物：
  描述：

  5-alpha-胆甾烷-3-alpha-醇乙酸酯 在 chromium(VI) oxide 、 溶剂黄146 作用下， 生成 3α-acetoxy-5α-cholan-24-al
  参考文献：
  名称：

  State-Space Modeling of the Relationship between Air Quality and Mortality

  摘要：

  A portion of a population is assumed to be at risk, with the mortality hazard varying with atmospheric conditions including total suspended particulates (TSP). This at-risk population is not observed and the hazard function is unknown; we wish to estimate these from mortality count and atmospheric variables. Consideration of population dynamics leads to a state-space representation, allowing the Kalman Filter (KF) to be used for estimation. A harvesting effect is thus implied; high mortality is followed by lower mortality until the population is replenished by new arrivals.The model is applied to daily data for Philadelphia, PA, 1973-1990. The estimated hazard function rises with the level of TSP and at extremes of temperature and also reflects a positive interaction between TSP and temperature. The estimated at-risk population averages about 480 and varies seasonally. We find that lags of TSP are statistically significant, but the presence of negative coefficients suggests their role may be partially statistical rather than biological. In the population dynamics framework, the natural metric for health damage from air pollution is its impact on life expectancy. The range of hazard rates over the sample period is 0.07 to 0.085, corresponding to life expectancies of 14.3 and 11.8 days, respectively.

  DOI：

  10.1080/10473289.2000.10464158

文献信息

• State-Space Modeling of the Relationship between Air Quality and Mortality
  作者：Christian J. Murray、Charles R. Nelson

  DOI：10.1080/10473289.2000.10464158

  日期：2000.7

  A portion of a population is assumed to be at risk, with the mortality hazard varying with atmospheric conditions including total suspended particulates (TSP). This at-risk population is not observed and the hazard function is unknown; we wish to estimate these from mortality count and atmospheric variables. Consideration of population dynamics leads to a state-space representation, allowing the Kalman Filter (KF) to be used for estimation. A harvesting effect is thus implied; high mortality is followed by lower mortality until the population is replenished by new arrivals.The model is applied to daily data for Philadelphia, PA, 1973-1990. The estimated hazard function rises with the level of TSP and at extremes of temperature and also reflects a positive interaction between TSP and temperature. The estimated at-risk population averages about 480 and varies seasonally. We find that lags of TSP are statistically significant, but the presence of negative coefficients suggests their role may be partially statistical rather than biological. In the population dynamics framework, the natural metric for health damage from air pollution is its impact on life expectancy. The range of hazard rates over the sample period is 0.07 to 0.085, corresponding to life expectancies of 14.3 and 11.8 days, respectively.