💎Mathematical Crystallography Unit 12 – Crystal Structure Determination & Refinement
Crystal structure determination and refinement are essential techniques in crystallography. They involve analyzing how X-rays interact with crystalline materials to reveal their atomic arrangements. This process requires collecting diffraction data, solving the phase problem, and refining the structural model.
Key steps include X-ray diffraction experiments, data processing, structure solution methods like direct methods or Patterson techniques, and iterative refinement. Challenges like twinning, disorder, and modulated structures require specialized approaches. Understanding these methods is crucial for accurate structural analysis in materials science and chemistry.
Crystals are solid materials with a highly ordered microscopic structure consisting of a repeating pattern of atoms, ions, or molecules
The smallest repeating unit that shows the full symmetry of the crystal structure is called the unit cell
Unit cells are characterized by their lattice parameters: lengths (a, b, c) and angles (α, β, γ)
There are seven crystal systems (triclinic, monoclinic, orthorhombic, tetragonal, trigonal, hexagonal, and cubic) based on the symmetry of the unit cell
Each crystal system has specific constraints on the lattice parameters (e.g., cubic: a = b = c, α = β = γ = 90°)
Bravais lattices are the 14 unique lattice types that describe the translational symmetry of crystal structures
Point groups describe the symmetry operations (rotations, reflections, inversions) that leave at least one point in the crystal fixed
Space groups combine the symmetry elements of point groups with translational symmetry, resulting in 230 unique space groups
X-ray Diffraction Theory
X-ray diffraction (XRD) is a powerful technique for determining the atomic structure of crystals
X-rays interact with the electron density in a crystal, causing the X-rays to scatter
Constructive interference of scattered X-rays occurs when Bragg's law is satisfied: 2dsinθ=nλ
d is the interplanar spacing, θ is the incident angle, n is an integer, and λ is the X-ray wavelength
The resulting diffraction pattern is a Fourier transform of the electron density in the crystal
The intensity of each diffraction spot (hkl) is proportional to the square of the structure factor Fhkl
The structure factor is a complex number that describes the amplitude and phase of the scattered X-rays from a particular set of lattice planes (hkl)
The phase information is lost during the measurement process, leading to the "phase problem" in crystallography
Data Collection Techniques
Single-crystal X-ray diffraction is the most common method for collecting data to determine crystal structures
A single crystal is mounted on a goniometer and rotated in the X-ray beam to collect a complete dataset
The crystal is typically cooled to low temperatures (e.g., 100 K) to reduce thermal motion and improve data quality
Monochromatic X-rays are used to avoid complications from wavelength-dependent effects
The diffraction pattern is recorded using a detector (e.g., CCD, CMOS, or pixel array detector)
The intensities of the diffraction spots are integrated and corrected for various factors (absorption, polarization, etc.)
Data quality is assessed using metrics such as resolution, completeness, and merging statistics (Rmerge, Rpim)
High-pressure X-ray diffraction can be used to study crystal structures under extreme conditions
Structure Factor Calculations
The structure factor Fhkl is a complex number that represents the resultant of all waves scattered by atoms in the unit cell for a given reflection (hkl)
It is calculated as a sum over all atoms in the unit cell: Fhkl=∑j=1Nfjexp[2πi(hxj+kyj+lzj)]
fj is the atomic scattering factor for atom j, and xj,yj,zj are its fractional coordinates
The atomic scattering factor depends on the element and the scattering angle, and it decreases with increasing angle
The structure factor equation can be simplified using symmetry operations of the space group
Systematic absences in the diffraction pattern arise from destructive interference due to certain symmetry elements (e.g., screw axes, glide planes)
The temperature factor (B-factor) is included in the structure factor calculation to account for the effect of thermal motion on the atomic scattering factors
Anomalous scattering can be used to help solve the phase problem by introducing a known phase shift in the structure factors
Phase Problem and Solutions
The phase problem arises because the measured intensities in X-ray diffraction experiments only provide the amplitudes of the structure factors, not their phases
Solving the phase problem is crucial for determining the electron density and, consequently, the atomic positions in the crystal structure
There are several methods to overcome the phase problem, including:
Direct methods: Exploit statistical relationships between structure factor amplitudes to estimate phases
Patterson methods: Use the Patterson function, a Fourier transform of the intensities, to locate heavy atoms or known fragments
Molecular replacement: Use the structure of a similar molecule as a starting model for phase calculation
Anomalous scattering: Exploit the differences in scattering factors for certain elements at specific wavelengths to obtain phase information
Density modification techniques, such as solvent flattening and histogram matching, can be used to improve and refine the initial phase estimates
Phase extension methods, like non-crystallographic symmetry averaging, can be employed to extend phases to higher resolution
Direct Methods in Structure Determination
Direct methods are a class of algorithms that attempt to solve the phase problem by exploiting statistical relationships between structure factor amplitudes
The main principle behind direct methods is the positivity and atomicity of the electron density
Sayre's equation relates the structure factors of certain reflections: Fhkl≈∑h′k′l′Fh′k′l′Fh−h′,k−k′,l−l′
The tangent formula is used to estimate the phase of a reflection based on the phases of other reflections: tan(ϕhkl)≈∑h′k′l′∣Eh′k′l′Eh−h′,k−k′,l−l′∣cos(ϕh′k′l′+ϕh−h′,k−k′,l−l′)∑h′k′l′∣Eh′k′l′Eh−h′,k−k′,l−l′∣sin(ϕh′k′l′+ϕh−h′,k−k′,l−l′)
Normalized structure factors (E-values) are used in direct methods to give equal weight to all reflections
The triplet relationship states that the product of the signs of three structure factors, related by h1+h2=h3, tends to be positive
Figures of merit, such as the residual and the combined figure of merit (CFOM), are used to assess the quality of the phase sets generated by direct methods
Patterson Methods
The Patterson function is a Fourier transform of the intensities, rather than the structure factors
It represents a map of interatomic vectors in the crystal structure
The Patterson function is calculated as: P(uvw)=V1∑hkl∣Fhkl∣2cos[2π(hu+kv+lw)]
Peaks in the Patterson map correspond to vectors between atoms in the structure, with the peak height proportional to the product of the atomic numbers
Patterson methods are particularly useful when the structure contains a few heavy atoms (e.g., metals) among many light atoms
The positions of the heavy atoms can be determined from the Patterson map and used to calculate initial phases for the structure factors
Difference Patterson maps can be used to locate additional atoms or to identify structural changes between related structures
Superposition methods, like SHELXS, use the Patterson function to orient and position known molecular fragments in the unit cell
Structure Refinement Techniques
Structure refinement is the process of optimizing the atomic model to best fit the experimental data
The goal is to minimize the difference between the observed and calculated structure factor amplitudes
Least-squares refinement is the most common method, where the quantity ∑hklw(∣Fobs∣−∣Fcalc∣)2 is minimized
w is a weighting factor that accounts for the precision of each measurement
The refinement process typically involves adjusting atomic positions, thermal parameters (B-factors), occupancies, and other model parameters
Constraints and restraints can be applied to the model to maintain chemically reasonable geometry and to stabilize the refinement
The quality of the refinement is assessed using the R-factor and the free R-factor (Rfree), which measure the agreement between the model and the data
Rfree is calculated using a small subset of reflections (5-10%) that are excluded from the refinement process to avoid overfitting
Difference Fourier maps (Fo-Fc and 2Fo-Fc) are used to identify areas of the model that require improvement or to locate missing atoms
Anisotropic displacement parameters (ADPs) can be refined for high-resolution data to better model the thermal motion of atoms
Occupancy refinement is used for structures with disorder or partial occupancy of atomic sites
Advanced Topics and Special Cases
Twinning occurs when multiple crystal domains are oriented in different ways within a single crystal
Merohedral twinning: domains are related by a symmetry operation of the crystal system
Non-merohedral twinning: domains are related by a transformation that is not a symmetry operation
Twinned data can be identified by abnormal intensity statistics and treated using specialized refinement methods
Modulated structures have a periodic distortion of the basic crystal structure, requiring higher-dimensional crystallography for their description and refinement
Quasicrystals have ordered but non-periodic structures, characterized by forbidden rotational symmetries (e.g., 5-fold, 10-fold)
Incommensurate structures have multiple periodic components with periods that are not rationally related, requiring specialized methods for data collection and refinement
Disorder in crystal structures can be modeled using split atomic positions, partial occupancies, or anisotropic displacement parameters
Absolute structure determination is important for chiral molecules and requires the use of anomalous scattering or reference compounds of known chirality
Charge density studies aim to experimentally determine the electron density distribution in crystals, providing insights into bonding and chemical properties