drug product and delivery

Mapping and Image Studies

On a micron or sub-micron scale, solid samples such as powders, pressed tablets or cast films typically exhibit non-homogeneous mixing of components. This results in regions that are disproportionately more concentrated in individual components, which can have major impact on stability, delivery and other physical properties of the product. SSCI's powerful analytical techniques provide a wealth of chemical and physical information on specific microscopic regions of solid samples. Some of the most prominent techniques are:

  • Infrared spectrosopy (FTIR)
  • Raman Spectroscopy
  • Near infrared spectroscopy (NIR)
  • X-ray powder diffraction (XRPD)
  • Electron diffraction (EDS)
  • Atomic force microscopy (AFM) and Micro thermal imaging

While traditional application of these techniques involves examination of a single location in the sample and subsequent collection of the chemical or physical information from only that isolated area, new imaging techniques involve automated data collection from multiple locations over a large area of the sample. This allows visualization of qualitative distribution, identification of majority or trace components, or more accurate quantitative analysis.

Imaging
Imaging is a general term for collection (usually automated) and analysis of data from a large number of locations on a sample. Collection of the data array can be accomplished in several ways. The two most common methods of collecting data are use of an array detector, where data for the entire image are colected simultaneously, and automated mapping, in which analysis is carried out a number of discrete points. SSCI Inc. makes use of both methods of data collection. SSCI scientists can carry out distribution analyses where each measurement represents an area as small as from 50 um to 1 A depending on the technique. Small particles or domains can be observed that would not be resolved with single analysis of the entire area. Distribution of a single component is easily visualized. Investigation of interfacial interactions is possible by observing differences between adjacent pixels. The array can be processed repeatedly, observing different chemical or physical signatures. Use of these techniques can produce any number of diagnostic presentations of the total sample area.

Imaging over a large area provides a more representative analysis of the sample for quantitative applications. Each pixel of the image provides a full spectrum that can be compared to spectral databases of known compounds for specific identification. Trace particles as small as a single pixel can provide a pure spectrum of a contaminant that would be undetectable in a single analysis of the entire sample area. Individual spectra from each pixel allow quantitative distribution within the area analyzed. Reprocessing provides a more accurate quantitative analysis of the bulk material.

FTIR Imaging
FTIR is well accepted as a methodology for chemical and structural analysis of organic products, providing a unique "fingerprint" spectrum of each molecule. The resulting spectrum is also diagnostic for subtle changes in the chemical or physical properties of the sample. Each FTIR spectrum represents an area of the sample as small as 10 um, and distribution of a single component is easily visualized. With proper selection of conditions, FTIR can overcome limitations of Raman and NIR. FTIR is often limited by the presence of water or the need to sample through glass, either of which produces significant spectral interferences.

SSCI scientists have extensive experience analyzing solid-state composition in final dosage form.

Raman Mapping
As with FTIR, Raman spectra are unique, allowing unambiguous chemical indentification. Raman is highly sensitive to the local molecular enviornment such as changes in crystal structure or subtle chemical modifications, but Raman does not suffer the material limitations inherent to infrared spectroscopy since both glass and water exhibit minimal Raman spectral interferences. Each Raman spectrum represents an area as small as 1 um. Raman occasionally suffers from fluorescence, a sample-dependent spectral interference.

NIR Imaging
Near infrared spectroscopy offers many of the advantages of FTIR and Raman, but overcomes some of the limitations. NIR offers the same advantage over FTIR as Raman, in that neither glass nor water interferes with the analysis. Each NIR spectrum represents an area as small as 1 um. NIR spectra result from absorption of overtones and combination bands from the mid infrared region, therefore, chemical or physical differences detected by FTIR also affect NIR data. NIR occasionally suffers from a lack of spectral specificity that is available with FTIR or Raman.

X-Ray Powder Diffraction Mapping
X-ray diffraction addresses an entirely different aspect of solid analysis and provides highly reliable analysis of the solid-state form of a material. An XRPD mapping study can, for example, provide information about the solid form composition at different regions in a tablet or identify the presence of a trace amount of a particular solid form. Each diffractogram represents an area as small as 50 um. XRPD offers limited chemical information as compared to FTIR, Raman or NIR.

EDS Imaging
Energy dispersive spectrometry (EDS) combines the advantages of scanning electron microscopy (SEM) and elemental analysis. Samples interrogated by SEM can be analyzed for elemental content by EDS under similar conditions of magnification and sampling environment. Each point represents an area as small as 1 A.

AFM and Micro Thermal Imaging
AFM and micro thermal techniques offer physical resolution of surface structure as small as 1 A and present a topographical representation of the sample surface with much greater resolution than SEM. Contact and non-contact AFM provide topographical imaging of the surface of conductive and non-conductive materials, as well as surfaces that are soft and pliable. Micro thermal imaging adds a significantly different dimension, imaging the sample based upon differences in thermal conductivity of the materials on the surface.