Hostname: page-component-586b7cd67f-rdxmf Total loading time: 0 Render date: 2024-11-24T17:33:59.598Z Has data issue: false hasContentIssue false
  • English
  • Français

X-ray powder diffraction studies of aniline derivatives

Published online by Cambridge University Press:  06 March 2012

A. Rafalska-Łasocha  and
W. Łasocha
A. Rafalska-Łasocha
Affiliation:
Faculty of Chemistry, Jagiellonian University, Ingardena 3. 30-060 Krakow, Poland
W. Łasocha*
Affiliation:
Faculty of Chemistry, Jagiellonian University, Ingardena 3. 30-060 Krakow, Poland
*
a)Author to whom correspondence should be addressed; electronic mail: [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

The X-ray powder diffraction patterns of two liquid aniline derivatives o-chloroaniline, and m-chloroaniline were measured at 250 °K in a low temperature chamber. Both compounds crystallize in the orthorhombic system with the unit cell parameters refined to a=1.8391(3) nm, b=1.0357(2) nm, c=0.6092(1) nm, space group Pmmm(47) and a=0.450 39(9) nm, b=1.9820(4) nm, c=1.2699(4) nm, space group Pcca(54) for o-chloroaniline and m-chloroaniline, respectively. Investigated at room temperature, 2,6-dichloroaniline crystallizes in the monoclinic system, space group P21/c(14), a=1.1329(2) nm, b=0.41093(8) nm, c=1.5445(3) nm, α=γ=90° β=99.96(2)°.

Keywords

X-ray powder diffractionchloroaniline
Type
New Diffraction Data
Information
Powder Diffraction , Volume 18 , Issue 3 , September 2003 , pp. 266 - 268
Copyright
Copyright © Cambridge University Press 2005

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Appelman, D. E., Evans, H. T., and Handwerker, D. S. (1966). “Program X-ray, Geological Survey.”Google Scholar
deWolf, P. M. (1972). “A definition of the indexing figure of merit M20,” J. Appl. Crystallogr. JACGAR 5, 243. acr, JACGAR CrossRefGoogle Scholar
Lasocha, W., and Lewinski, K. (1994). “PROSZKI–a system of programs for powder diffraction data analysis,” J. Appl. Crystallogr. JACGAR 27, 437–438. acr, JACGAR CrossRefGoogle Scholar
PDF-2–PCPDFWIN. (1996). Version 1.20 September 1996, International Center for Diffraction Data, Newton Square, Pennsylvania.Google Scholar
Smith, G. S., and Snyder, R. L. (1979). “FN: A criterion for rating powder diffraction patterns and evaluating the reliability of powder-pattern indexing,” J. Appl. Crystallogr. JACGAR 12, 60–65. acr, JACGAR CrossRefGoogle Scholar
Sonneveld, E., and Visser, J. W. (1975). “Automatic collection of powder data from photographs,” J. Appl. Crystallogr. JACGAR 8, 1–7. acr, JACGAR CrossRefGoogle Scholar
Visser, J. W. (1969). “A fully automatic program for finding the unit cell from powder data,” J. Appl. Crystallogr. JACGAR 2, 89–95. acr, JACGAR CrossRefGoogle Scholar
Werner, P. E., and Eriksson, L. (1985). “TREOR, A semi-exhaustive trial-and-error powder indexing program for all symmetries,” J. Appl. Crystallogr. JACGAR 18, 367–370. acr, JACGAR CrossRefGoogle Scholar