1 / 18

Vibrational Spectroscopy for Pharmaceutical Analysis

Vibrational Spectroscopy for Pharmaceutical Analysis. Part VI. Interpretation of Infrared Spectra & Applications Rodolfo J. Romañach, Ph.D. Interpretation of Mid-IR Spectra.

colleen-wiggins
Télécharger la présentation

Vibrational Spectroscopy for Pharmaceutical Analysis

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Vibrational Spectroscopy for Pharmaceutical Analysis Part VI. Interpretation of Infrared Spectra & Applications Rodolfo J. Romañach, Ph.D.

  2. Interpretation of Mid-IR Spectra • Mid-IR spectroscopy is a powerful tool for chemists that want to determine the structure of a process impurity or degradation product.

  3. Dividing Line • 1500 cm-1 dividing line: above 1500 cm-1 if a band has a reasonable intensity, it is a group frequency. • Below 1500 cm-1 the band may be either a group or fingerprint frequency. • Below 1500 cm-1 called the fingerprint region.

  4. Group Frequencies • Characteristic of functional groups such as -O-H, -CH3, -COCH3, and COOH. • Determined empirically by studying the spectra of many related molecules. • Always found in the spectrum of a molecule containing that group, and always occurs in the same narrow frequency range. • The form of the bands is nearly always the same in every molecule containing that group.

  5. Fingerprint Frequencies • Highly Characteristic of the Specific Molecule. • Due to Vibrations of the Molecule as a whole. • The numerical values cannot be predicted in most cases. • Valuable in characterizing a molecule. • Fingerprint region is useful for discriminating between molecules that resemble each other.

  6. Group Frequencies • O-H Stretch – Position is Highly Dependent on Hydrogen Bonding. • Intense – Easy to Identify. • Carboxylic Acids – Very broad and strong, form dimers. • This band will grow in intensity if you have a hygroscopic material.

  7. Benzoic Acid Spectrum

  8. Propylene Glycol – Ref. Std.

  9. C-O Single Bonds • This stretching will be observed for ethers, alcohols, esters, anhydrides, and carboxylic acids. • Present in carbohydrates (lactose, microcrystalline cellulose, mannitol are commonly used in pharmaceutical processing. • Very intense bands in 1000 – 1250 cm-1 region which are subject to erratic shifts from small structural changes.

  10. Carbohydrate Spectrum.

  11. Cellulose Acetate

  12. C=O Stretch • Provides a very strong signal and is found in many organic molecules. • It occurs in a region of the spectrum where few other functional groups are observed. • Range of carbonyl frequencies is from 1750 ± 200 cm-1. The changes in frequency have been thoroughly studied and provide significant structural information.

  13. Acetophenone – Notice Weak C-H stretch area in comparison with C=O stretch

  14. Corn Oil

  15. KBr pellet spectrum of aromatic compound.

  16. KBr pellet spectra.

  17. Spectra of Two Different Crystal Habits N.R. Sperandeo, A. Karlsson, S. Cuffini, S. Pagola, and P.W. Stephens, AAPS PharmSciTech 2005; 6 (4) Article 82 (http://www.aapspharmscitech.org).

  18. Information from PNQ Spectra • Spectra are very similar, indicating same compound. • O-H and N-H were free (not involved in hydrogen bonding) then absorbances near 3500 cm-1 would be observed. • The fact that N-H and O-H are near 3200 cm-1 is indicative that they are involved in hydrogen bonding. • Spectra were obtained with KBr pellets

More Related