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1,5-二氯环戊烯 | 874528-03-7

中文名称
1,5-二氯环戊烯
中文别名
——
英文名称
1,5-dichloro-cyclopentene
英文别名
1,5-Dichlor-cyclopenten;1,5-Dichlorocyclopentene;1,5-dichlorocyclopentene
1,5-二氯环戊烯化学式
CAS
874528-03-7
化学式
C5H6Cl2
mdl
——
分子量
137.009
InChiKey
MKEQJEZLRFRYCK-UHFFFAOYSA-N
BEILSTEIN
——
EINECS
——
  • 物化性质
  • 计算性质
  • ADMET
  • 安全信息
  • SDS
  • 制备方法与用途
  • 上下游信息
  • 反应信息
  • 文献信息
  • 表征谱图
  • 同类化合物
  • 相关功能分类
  • 相关结构分类

物化性质

  • 沸点:
    65 °C(Press: 20 Torr)
  • 密度:
    1.200 g/cm3(Temp: 25 °C)

计算性质

  • 辛醇/水分配系数(LogP):
    2.2
  • 重原子数:
    7
  • 可旋转键数:
    0
  • 环数:
    1.0
  • sp3杂化的碳原子比例:
    0.6
  • 拓扑面积:
    0
  • 氢给体数:
    0
  • 氢受体数:
    0

上下游信息

  • 上游原料
    中文名称 英文名称 CAS号 化学式 分子量

反应信息

  • 作为反应物:
    描述:
    1,2-二氯环戊烯1,5-二氯环戊烯silver(I) acetate溶剂黄146 作用下, 生成 acetic acid-(2-chloro-cyclopent-2-enyl ester)
    参考文献:
    名称:
    Mousseron; Jacquier, Bulletin de la Societe Chimique de France, 1950, p. 648,656
    摘要:
    DOI:
  • 作为产物:
    描述:
    参考文献:
    名称:
    Statistical analysis of soil colour and spectroradiometric data for hyperspectral remote sensing of soil properties (example in a southern Italy Mediterranean ecosystem)
    摘要:
    Munsell hue, value and chroma of 69 surface soil samples were both visually estimated by four observers under diffuse daylight and computed from laboratory reflectance spectra by applying the CIE 1931 standard method. Significant relationships were found between 'observed' and 'computed' colour components, and between the latter and some soil properties. Using a correspondence analysis, soil colour was shown to be important in differentiating between soil types. From the original spectra, the visible bands of the MIVIS hyperspectral sensor were simulated and related to the colour components through single and multiple regression analyses. The R-2 values for hue, value and chroma were 0.58, 0.81 and 0.87 respectively. The results were compared with those obtained using simulated visible Thematic Mapper (TM) bands. For each sample, a curve was fitted to both the MIVIS and TM bands. From these curves, values of colour components were computed and compared with those obtained from the original spectra. Results showed a clear improvement in colour determination. Nevertheless, the complexity and variability of the best fitting curves makes this approach difficult to apply to the images. Remote sensing of soil colour is expected to improve with future launches of higher resolution hyperspectral sensors.
    DOI:
    10.1080/01431160120522
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文献信息

  • Mousseron; Jacquier, Bulletin de la Societe Chimique de France, 1950, p. 648,656
    作者:Mousseron、Jacquier
    DOI:——
    日期:——
  • Statistical analysis of soil colour and spectroradiometric data for hyperspectral remote sensing of soil properties (example in a southern Italy Mediterranean ecosystem)
    作者:A. P. Leone、R. Escadafal
    DOI:10.1080/01431160120522
    日期:2001.1
    Munsell hue, value and chroma of 69 surface soil samples were both visually estimated by four observers under diffuse daylight and computed from laboratory reflectance spectra by applying the CIE 1931 standard method. Significant relationships were found between 'observed' and 'computed' colour components, and between the latter and some soil properties. Using a correspondence analysis, soil colour was shown to be important in differentiating between soil types. From the original spectra, the visible bands of the MIVIS hyperspectral sensor were simulated and related to the colour components through single and multiple regression analyses. The R-2 values for hue, value and chroma were 0.58, 0.81 and 0.87 respectively. The results were compared with those obtained using simulated visible Thematic Mapper (TM) bands. For each sample, a curve was fitted to both the MIVIS and TM bands. From these curves, values of colour components were computed and compared with those obtained from the original spectra. Results showed a clear improvement in colour determination. Nevertheless, the complexity and variability of the best fitting curves makes this approach difficult to apply to the images. Remote sensing of soil colour is expected to improve with future launches of higher resolution hyperspectral sensors.
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