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CHAPTER 2
X-RAY CRYSTAL STRUCTURE DETERMINATON
2.1 INTRODUCTION
The X-ray diffraction technique is based on an interference pattern
produced by X-rays passing through a three-dimensional, repeating pattern of
atoms within a crystal. It is the most powerful technique adopted to reveal the
three-dimensional molecular structure, their geometrical description in terms
of bond lengths, bond angles, torsion angles, non-bonded distances,
conformation adopted by the molecule, intra-molecular forces and molecular
packing governed by intermolecular forces (Glusker and Trueblood 2010,
Giacovazzo 2010). As this thesis is concerned with the X-ray crystal structure
determination of biologically important compounds, in this chapter the
methodology and various steps involved in the crystal structure determination,
such as intensity data collection, data reduction, structure solution, refinement
and calculation of geometrical parameters are presented. Conformational
features of the molecules along with intra and intermolecular forces present in
the crystal structure are also discussed.
2.2 PREPARATION AND SELECTION OF SAMPLES
The sample to be used for structure determination must obviously
be a single crystal, in which all the unit cells are identical and should be
aligned in the same orientation, so that they can scatter cooperatively to give a
clear diffraction pattern. Among the various methods of growing single
23
crystals from a saturated solution, the slow evaporation method occupies a
predominant place owing to its versatility and simplicity.
All the samples presented in this thesis were obtained by the slow
evaporation method at room temperature. In this method, the compound
(solute) was dissolved by a suitable solvent or sometimes with mixed
solvents. In almost all cases, the vapour pressure of the solvent above the
solution is higher than the vapour pressure of the solute and therefore, the
solvent evaporates more rapidly and the solution becomes supersaturated
(Zettlemoyer 1976, Buckley 1951, Myerson and Ginde 1993). Therefore the
supersaturated solution is maintained under suitable conditions in such a way
that the rate of evaporation of the solvent is minimized. Best crystals are
usually formed when the solution is free from mechanical vibration and is
allowed to evaporate without disturbance.
The crystals were tested for single crystallinity using a Leica DM
LSP polarizing microscope. These crystals were cut with a sharp scalpel, in
such a way that the size of the crystal should not exceed the diameter of the
X-ray collimator used in the diffractometer. This is to ensure that the sample
has to be completely bathed in X-ray at any orientation. One single crystal
separated from the rest of the sample, is usually glued (with a minimum
quantity of amorphous glue) to a fine glass fibre attached to the goniometer
head. However, samples which are air-sensitive or which degrade by loss of
loosely bound solvent are specially treated by coating them with inert viscous
oil or by sealing them in thin-walled glass capillary tubes.
2.3 INTENSITY DATA COLLECTION AND DATA REDUTION
In general two methods are available for data collection viz.
photographic method and counter method. The collection of crystallographic
diffraction data poses two quite different problems. The first is the
24
determination of the geometry of diffraction for which the size, shape and
symmetry of the reciprocal and direct lattice may be calculated. The second
is the assignment of an observed intensity to every point in the reciprocal
lattice. For routine structural studies the only practical means of collecting a
desired data require that diffraction patterns be obtained from a single crystal
mounted so that the various lattice planes may be brought successively into
reflecting positions. This process must be combined with some means of
recording both the location and intensities of the diffracted X-rays. From
around the1960s, computer-controlled diffractometers became the standard
means of collecting diffraction data, in which a scintillation counter is used as
the detector. These machines are called serial diffractometers. In serial
diffractometers, the detector is positioned to collect the intensity of one
reflection at a time. More recently, X-ray diffractometers equipped with area
detectors, which can simultaneously record all the beams falling in their
detector area in terms of position and intensity. There are various types of
area detectors based on different technologies, each with particular
advantages and disadvantages of size, sensitivity, spatial resolution, speed of
read-out and cost (Stout and Jensen 1989, Clegg 2009).
The intensity data for all the crystals presented in this thesis was
collected by a BRUKER AXS SMART APEX-II diffractometer. The machine
was equipped with graphite monochromated Mo K radiation. The detector is
a SMART APEX-II Charged Coupled Device (CCD) detector. In these
detectors the X-ray energy is first converted to visible light using a
scintillating crystal (phosphor). Visible light from phosphor is taken to the
charge coupled device which converts the light energy into electrical pulse at
each pixel. Normally the transfer of visible photons from phosphor to CCD is
achieved through a fiber optic taper in which a good percentage of energy is
lost.
25
In APEX-II detectors the CCD chip is in close contact with the
phosphor and the energy conversion is almost 1:1. This goniometer in the
SMART APEX-II system has a Eulerian Cradle (three circle geometry). The
crystals were mounted in the goniometer and centered. The crystal to detector
distance was set at 50 mm. Initially a selected number of frames were scanned
and integrated for suitable range of and values. Before collecting the
data, the strategy of the data collection was set from the unit cell parameters
and orientation matrix. The data can be collected by -scan, -scan or both
and -scan methods. In the -scan, is fixed and in the -scan is
fixed, with the range of and angle as 0 to 79º and 0 to 360º, respectively.
The number of frames recorded thus depends on the range of and angles,
and also on the frame width 50. .
During the data collection the crystal is rotated about one axis in
the positive direction and each exposure covers a small angular range of 0.5 ,
with a time span of 10 seconds. Detectors with rapid read-out of the image
can efficiently measure diffraction patterns with relatively narrow angular
slices, but with slower read-out and wide angular frames. In general, the same
reflection may be spread over more than one frame. After the data collection,
the intensity data spread over all frames are integrated. The data were
collected for 100% completeness, with at-least four times redundancy of data
to facilitate a reasonable multi-scan absorption correction. The data collection
typically takes four hours, independent of the size of the structure, however
longer exposure is made for weak scattering samples. Crystal decay was
monitored by repeating thirty initial frames. At the end of the data collection
and analyzing the duplicate reflections, the decay was found to be negligible
for all the crystals studied. The result of the data collection process is a list of
reflections, usually thousands of them, each with lkh indices and a
measured intensity.
26
The extraction of relative structure factor amplitudes from the raw
integrated intensities is the process involved in data reduction. The data
reduction process also includes the merging and averaging of repeated and
symmetry-equivalent measurements in order to produce a unique, corrected
and scaled set of data. The statistical analysis of the complete unique data set
provides an indication of the presence or absence of some symmetry
elements, particularly whether the structure belongs to a centrosymmetric or
non-centrosymmetric system. The Lorentz and polarization corrections are
essential for all the cases, but the absorption correction can be applied
depending on the nature of the compound and the radiation used.
The relationship connecting the observed structure factor and the
raw intensity for each reflection is given by
21
/ LpIkF lkhlkh (2.1)
where k is the scale factor, L is the Lorentz factor 21L sin/ and p is the
polarization factor m22
m2 2122p cos/coscos , since the
beam is partially polarized during monochromatisation. Here m represents
the Bragg angle of a monochromator crystal (6.1 for Mo K ) and
represents the Bragg angle of a reflection. The absorption correction was
carried out by multi-scan procedure using the SADABS (Bruker 2005)
program.
After integration and scaling, the output data (h k l and intensity) is
produced in formats suitable for standard structure analysis packages. Data
collection, cell refinement and data reduction for all the compounds, reported
in the thesis were carried out using APEX2 (Bruker 2005) and SAINT
(Bruker 2005) programs.
27
2.4 STRUCTURE SOLUTION
Having measured and appropriately corrected the diffraction data,
the solution of the structure can be obtained by locating the position of the
atoms. In order to locate the positions of atoms, the electron density has to be
computed at various points. The positions at which the electron density is
maximum, represents the position of an atom. The electron density is the
reverse Fourier transforms of the diffraction pattern. Since the diffraction
pattern of the crystal consists of discrete reflections rather than a diffuse
pattern, the Fourier transform is a summation, and not an integral. The
relation between the electron density and its Fourier transform is given by
h k llkh lzkyhxiFVzyx 2exp1,,, (2.2)
where lkhF is the structure factor, which is the resultant of N waves scattered
by N atoms in the unit cell.
The general expression for the structure factor is
jjj
N
jjlkh lzkyhxifF 2exp
1
(2.3)
where jjj zyx ,, are the fractional co-ordinates of the jthatom, N is the
number of atoms in the unit cell and jf is the atomic scattering factor.
Since lkhF is a complex quantity containing both amplitude and
phase, we can rewrite
lkhlkhlkh iFF exp (2.4)
28
where lkhF is the structure amplitude, and
lkh is the phase of the reflection hkl.
Including the amplitude and phase in zyx ,, , we can write
h k llkhlkh lzkyhxiiFVzyx 2expexp1,, (2.5)
where V is the volume of the unit cell and x, y, z are the fractional coordinates
of any point in the unit cell.
From the above equation, it is clear that the image of the electron
density can be obtained by adding together all the diffracted beams, with their
correct amplitudes and phases; the correct relative phases here include the
intrinsic phases of the waves themselves, relative to the original incident
beam, and an extra phase shift appropriate to each geometrical position in the
image relative to the unit cell origin. Experimentally one can compute the
structure amplitude for each reflection, from the measured intensities. The
relative phases shifts can be calculated as required, but the intrinsic phases
lkh of the different reflections cannot be computed directly from the
experimental data. Thus if one wants to compute electron-density, and to
locate the position of atoms the phase lkh is necessary. This is called
‘PHASE PROBLEM’ in crystallography.
Depending upon the number and nature of atoms present in the unit
cell, different methods have been used to tackle the phase problem (Stout and
Jenson 1989, Clegg 2009, Shmueli 2007) viz., direct methods, heavy atom
method, isomorphous replacement method and the anomalous dispersion
method. Since the compounds of our interest contain only light atoms, direct
methods were employed for solving the structure using SHELXS97
29
(Sheldrick 1997) program. This program is a general one and is efficient for
all space groups in all settings, and there are effectively no limits on the
number of reflection data, atoms, phases refined in direct methods or
scattering factor types. The program is more accurately described as a
multiple-permutation single-solution procedure.
2.4.1 Direct Methods
Direct methods relates the intensities and phases by mathematical
means (Giacovazzo 2010, Ladd and Palmer 1977, 1980, Woolfson 1997).
Although these methods have some limitations in their applications when the
number of non-hydrogen atoms in a molecule is greater than 50, for smaller
structures the success rate of these methods is close to 100%. The direct
methods routine is based on the random start multi-solution technique.
In direct methods there are two imposed conditions that restrict the
relative phase angles viz. the electron density is always positive and the atoms
are spherically symmetric. Possible phase angles are constrained by these two
conditions so that relative phase angles mainly depend on mathematical
expressions for the Fourier series. In the initial stage, atoms are assumed to be
of point atom type. The fall-off of intensity at high scattering angles is due to
atomic size and atomic vibrations lkhF is related to lkhE , which do not vary
with sin .
2.4.1.1 Direct methods procedures
The following procedures are adopted in solving the structure using
direct methods.
30
1. Conversion of observed structure factors lkhF to
normalized structure factors: The conversion of observed
structure factors lkhF to normalized structure factors lkhE ,
using the following relation (Ladd and Palmer 1980)
222/ jlkhlkh fFE (2.6)
where is an integer which is generally one, but may assume
other values for special sets of reflections in certain space
groups. Also, only high lkhE values (greater than 1.5) signify
greater validity of the probabilistic estimate.
2. Setting up of the phase relations: The magnitudes lkhE of
the normalized structure factor are uniquely determined by
crystal structure and are independent of the choice of origin,
however values of the phases lkh depend on choice of the
origin. There exists certain linear combination of phases,
which are called structure invariants (International Tables for
Crystallography 2006), whose values are determined by the
structure alone and are independent of the choice of origin. In
shifting the origin by a vector, the phases turn out to be origin
dependent while amplitudes are not. But there are certain
specific phase relations viz, triplet (three phase structure
invariant) relation, given by LKH such that H+K+L=0
and quartet (four phase structure invariant) relation, given by
PNML such that L+M+N+P=0, that do not change
with shift in origin.
31
3. Choosing a starting reflection: A convergence procedure is
used to determine the starting set for the phase relations. Only
strong lkhE values are chosen in the generation of invariants
so that the reliability of the probabilistic estimates has a direct
relation to the normalized structure factor magnitudes entering
in the triplets or quartets. Sets of three Bragg reflections are
selected with indices that satisfy the triple-product sign
relationship 2 formula.
KKHKH (2.7)
where H is the relative phase angle of the Bragg reflection
hkl.
4. Phase propagation or phase extension: The phases of the
above small set of reflections are now assumed to be known
and knowing the values of the two phases and sum of the three
phases, the value of the unknown phase can be determined.
This procedure is called the phase propagation or phase
extension. This propagation and phase refinement are carried
out using tangent formula of Karle and Hauptman (Schenk
et al 1987).
sintan
cos
j j j jj
j j j jj
k h k k h kk
h
k h k k h kk
E E
E E (2.8)
5. Calculation of best set of phases: Depending on the choices
of the phase values for the reflections chosen for the origin
and enantiomorph, the direct methods procedures become
multi-solution in nature from which the correct solution can be
32
picked up. Before computing an E-map, the set with the
lowest value for the combined figure of merit is selected as the
correct one. The combined figure of merit is given by
CFOM = ]0[ nWNQUALorR , (2.9)
whichever is larger
with 22 / estest WWR (2.10)
and NQUAL = 54321
54321
EEEEE
EEEEE
****
**** (2.11)
where the weight w is 51 est/ , is the reliability
coefficient and wn is a structure dependent constant. The best
10% of the subset phase permutation as judged by R is then
refined using the full set of reflections. For a correct solution
NQUAL will approach -1.
6. Computation of E-maps: After the determination of phases
H and confirming them by CFOM, an E-map can now be
computed using the HE values for the best phase set. The
heights of the peaks in the E-map will be in proportionate to
the atomic number of the atoms in the unit cell.
By this method almost the entire structure can be revealed. Thus the
structure solution will reveal the positions of all the non-hydrogen atoms.
However in case of any incompleteness, the existing model has to be refined
for few cycles (i.e. isotropic refinement) and a difference Fourier map will
reveal the rest of the atoms. For an initial correct solution the R-values ranges
from 20-30%.
33
2.5 STRUCTURE REFINEMENT
The data obtained from an X-ray diffractometer experiment
produce a set of structure factor magnitudes oF and with the proposed model
the structure factor magnitudes cF can be calculated. The combination is
used to get the best possible fit between the observed and calculated structure
factors. Specially, it is necessary to find the atomic coordinates (xj,yj,zj) and
functions that give maximum agreement with the observed structure factor.
The ultimate purpose is therefore to refine three positional parameters and up
to six thermal parameters for each atom to give the better fit with the
experimental data. The refinement stage of a structure analysis begins with a
complete trial structure containing all the atoms.
If the atoms of the structure are approximately in the right
positions, then there will be at least some degree of resemblance between the
calculated diffraction pattern and the observed one. This approximation can
be achieved by several structure refinement processes viz. full-matrix
least-squares method, block diagonal least-squares method, rigid body
refinement, energy minimization technique, simulated annealing technique,
maximum entropy method or the maximum likelihood method. Among them,
the full-matrix least-squares refinement techniques is the conventional one
and widely used in small molecular structure refinement using the program
SHELXL97 (Sheldrick 1997a). The least-squares refinement uses the square
of the difference between the observed and calculated structure factor
amplitudes as a measure of their disagreement and adjust the parameters so
that the total disagreement is a minimum. The refinement based on 20F using
all data provides a good result for weakly diffracting crystals and in particular
for pseudo-symmetry problems.
34
The residual factor or reliability index defining the correctness of
the model is given by
hkl0
hklC0
F
FF1R (2.12)
where 0F is the observed structure factor amplitude and CF is the
calculated structure factor amplitude. The summation is made over all the
observed reflections 00 F4F . The lower the R value, the greater is the
accuracy of the molecular model. A suitable weighting scheme is applied at
the end of refinement procedure and the weighted R-factor is given by
21
220
22202
Fw
FFwRw
i
Ci (2.13)
The goodness of the fit (S) is given by
21222
0 / pnFFwS c (2.14)
with bPPaFw 220
2/1 (2.15)
where P = [2Fc2+Max(Fo
2, 0)]/3, n is the number of reflections, p is the total
number of parameters refined, a and b are constants.
2.6 CALCULATION OF GEOMETRICAL PARAMETERS
The determination of molecular geometry is of vital importance to
our understanding of chemical structure and bonding. The crystal structure
determination provide us the unit cell geometry, symmetry (space group) and
35
the positions of all the atoms in the unit cell (three coordinates each), together
with their isotropic (one) and anisotropic (six) displacement parameters. From
the atomic coordinates, unit cell geometry and symmetry, many geometrical
parameters such as bond lengths, bond angles and torsion angles, etc. can be
calculated.
Bond Length: For the triclinic system, the distance between two atoms
considered to be bonded together, with fractional atomic coordinates
111 ,, zyx and 222 ,, zyx , is given by the law of cosines in three dimensions
as
yxbazcybxaL cos2222
21
cos2cos2 zybczxca (2.16)
where ,,,, cba and are the unit cell parameters; 2121 , yyyxxx
21 zzz .
The above equation can be applied for any crystal system to
calculate the bond lengths. These parameters help us to identify the nature of
chemical bonds (triple, double, partially double or single bond) present in the
molecule.
Bond angle: The angle between the bonds A B and B C formed by three
atoms A B C, as shown in Figure 2.1 is calculated by using the formula
BCBA
ACBCBA
rrrrrcos
2
2221 (2.17)
36
Figure 2.1 Bond angles
Bond angles are useful to find the type of hybridization of a
particular atom.
Torsion angle: The torsion angle is the angle of inclination between the two
planes defined as ABC and BCD of the four atoms A, B, C and D. The
apparent angle between two bonds A B and C D when viewed along the
B-C bond for a connected sequence of atoms A B C D, referred as
torsion angle, is given by
21
21
NNNN (2.18)
where N1 and N2 are normal to the ABC and BCD planes, respectively.
PARST (Nardelli 1995) and PLATON (Spek 2003,2009) programs were used
for the calculation of geometrical parameters in all the structures studied.
2.7 RING CONFORMATIONS
Ring conformations can be described by torsion angles, atomic
deviation from least-squares planes or angles between least-squares planes.
They can also be analysed in terms of asymmetry parameters and puckering
parameters.
rBA
rBC
rAC
37
The presence of a mirror plane lying perpendicular to the plane of
the ring and a two-fold symmetry lying in the plane of the ring predicts the
type of conformation of the ring. The possible conformations of the five- and
six-membered rings are shown in Figures 2.2 and 2.3, respectively. The
mirror and the two-fold symmetry are governed by symmetry equations,
21
m
1i
2ii
S mC
'
(for mirror asymmetry) (2.19)
and
21
m
1i
2'ii
2 mC (for two-fold asymmetry) (2.20)
where ', are symmetry related torsion angles and m is the number of
individual comparisons.
The five-membered ring can adopt three types of conformations viz.
planar with five two-fold and five mirror symmetries, envelope with a mirror
symmetry and half-chair with a two-fold symmetry.
The six-membered ring can adopt six types of conformations viz.
planar having six two-fold and six mirror symmetries, chair having three
mirrors and three two-fold symmetries, boat having two mirror symmetries,
twist boat having two two-fold symmetries, sofa having one mirror symmetry
and half-chair having one two-fold symmetry. In practice, conformations are
described from the asymmetry parameters (Nardelli 1983) and puckering
parameters (Cremer and Pople 1975), which give the extent of deviation of
38
the ring from ideal conformations. Calculation of these parameters, are
carried out using the program PLATON (Spek 2009).
Figure 2.2 The three most symmetric conformations observed in the five-membered rings (Duax et al 1976). Symmetries are indicated on the right
39
Figure 2.3 The most commonly observed conformations of six-membered rings (Duax et al 1976). The symmetries are indicated on the right
40
Any deviation from the ideal ring conformations is described by
puckering parameters suggested by Cremer and Pople (1975). The
conformation of the n-membered ring is uniquely defined by its n-3 puckering
parameters. For a six membered ring there are three puckering degrees of
freedom. These are described by the single amplitude phase pair (q2 and 2)
and a single puckering coordinate q3. These polar coordinates described by
the ‘spherical polar set’ (Q, , ), where Q is the total puckering amplitude and
is the angle (0 ) such that
q2 = Q sin (2.21)
q3 = Q cos (2.22)
This coordinate system permits the mapping of all types of
puckering. The polar coordinate values for the special conformation of the
six-membered rings are given below:
Chair = 0.0
Half-chair = 50.8 = k 60 + 30
Envelope = 54.7 = k 60
Boat = 90.0 = k 60
Twist-boat = 90.0 = k 60 + 30
where k = 0, 1, 2, 3, 4, 5.
2.8 INTER AND INTRAMOLECULAR INTERACTIONS
Different types of inter- and intramolecular interactions such as
hydrogen bonding (Desiraju 2000, 2002, Hunter et al 2001, Row 1999,
Aakeroy 1997, Koch and Popelier 1995), C H… interactions
41
(Takahashi et al 2000, Prasanna and Row 2000, Nishio et al 1995, Umezawa
et al 1999), stacking interactions (Sharma et al 1993, Hunter and
Sanders 1990, Desiraju and Gavezzotti 1989) short contacts between the
atoms and van der Waals interactions stabilize the molecules in the crystalline
state. The existence of C H…O type hydrogen bonds in crystals is evident
from the study of Steiner (2002), Desiraju and Steiner (1999), Desiraju
(1991), Jeffery and Saenger (1991), Berkovitch-Yellin and Leiserowitz
(1984).
Hydrogen bonding is formed between two electronegative atoms
(donor and acceptor), where the hydrogen atom is bonded to one of them. The
usual convention for the representation of the hydrogen bond is D H…A
where D is the donor and A is the acceptor. The hydrogen bonds are highly
directional and the D H…A angle should be 180º for an ideal one. The most
important geometrical characteristics of hydrogen bonds are that the distance
between the hydrogen and acceptor atom is shorter than sum of their van der
Waals radii (Taylor and Kennard 1982).
The criteria, which is generally used to identify the hydrogen bond
(Desiraju and Steiner 1999) are Å50.0.... ARDRADd ,
Å12.0.... ARHRAHd and 100...AHD ,where D is the donor, A
is the acceptor, DR is the van der Waals radius of donor atom, AR is the
van der Waals radius of acceptor atom, HR is the van der Waals radius of
the hydrogen atom, ADd ..... is the distance between the donor and acceptor
atom and AHd ..... is the distance between the hydrogen and acceptor atom.
Some of the properties of strong and weak hydrogen bonds are detailed in
Table 2.1.
42
Table 2.1 Some properties of strong and weak hydrogen bonds (Desiraju and Steiner 1999)
Properties Strong Weak Non-bond
Bond energy (-Kcal / mol) 15-40 4-15 <4
Examples POOHP
NHN
FHF
.........
......
POHOCOHNCOHO
.........
OHOHO
OHC
...
...
...
Bond Lengths HDAH HDAH ... HDAH ...
Lengthening of ÅHD 0.05 – 0.2 0.01 – 0.05 010.
Å)rangeADd (... 2.2 – 3.0 3.0 – 3.5 3.6 – 4.0
AHd ... range (Å) 1.2 – 2.5 1.5 – 2.5 2.6 – 3.0
AHD ... range (°) 175 – 180 130 – 180 90 – 180
Effect on crystal packing strong Weak Non-bond
van der Waals interactions are formed due to the weak attractive
forces between uncharged atoms or molecules. The van der Waals forces are
short-range forces i.e., they are significant only when the molecules are very
close to one another. The van der Waals forces are used for non-specific
attractions between two atoms that are close to each other. These interactions
depend on the distance between the respective atoms (or atom groups or
molecules). At too close distance, repulsive forces are dominating
(overlapping of electron shells). vander Waals attractions are additive and
have thus a much greater impact on macromolecules than on small molecules
(Steiner and Saenger 1993).
The crystal structures presented in this thesis are found to have
O H…O hydrogen bonds, and weak C H…O and C H…N intermolecular
interactions. The van der Waals radii used for C=1.70, Cl=1.75, Br=1.85,
N=1.55, O=1.52, F=1.47 and S=1.80 Å. For hydrogen bonds, the H…A
43
distances are less than 2.6 Å and the range of D…A distances is 2.2-3.0 Å. If
H…A distances are less than 2.6 Å and D…A distances lie in the range 3.0-
3.5 Å then the interactions are considered as weak intermolecular interactions.
2.9 GRAPH SET – DEFINITIONS
Etter (1991) formulated a useful method for describing hydrogen-
bond patterns in crystal structures based on graph set notation. Graph sets tell
how many donors and acceptors are used in a hydrogen-bonded pattern and
what the nature of the pattern is. The most remarkable feature of the graph set
approach to analyse hydrogen bond patterns is that even complicated
networks can be reduced to combinations of four simple patterns, viz.,
(i) chain (C)
(ii) rings (R)
(iii) intramolecular hydrogen patterns (S) and
(iv) finite patterns (D)
Specification of a pattern is augmented by a subscript ‘d’
designating the number of hydrogen-bond donors and a superscript ‘a’ giving
the number of hydrogen-bond acceptor. The graph set descriptor is then
given as Gda (n), where G represents one of the four possible designators and
‘n’ representing the total number of atoms involved in the motif is called the
degree of the pattern and is specified in parenthesis (Bernstein et al 1995).
The analysis of hydrogen-bonding patterns into these four simple categories
can lead to important insights regarding the patterns of recognition between
both like and unlike molecules.
44
2.10 SOFTWARES USED FOR CRYSTAL STRUCTURE
DETERMINATION
The intensity data for all the crystals presented in the thesis were
collected by a Bruker AXS SMART APEX-II diffractometer equipped with
graphite monochromated Mo K radiation ( = 0.71073Å) using the scans
mode. Intensities were corrected for Lorentz and polarization effects and
absorption effects by using the SADABS (Bruker 2005) program. The
structures were solved by direct methods using the SHELXS97 (Sheldrick
1997) program. The structures were refined by the full-matrix least-squares
technique using the SHELXL97 (Sheldrick 1997a) program. The geometrical
parameters were calculated using PLATON (Spek 2009) and PARST
(Nardelli 1995), and the molecular and packing diagrams were drawn using
the program SHELXTL (Sheldrick 1998) and PLATON (Spek 2009).