Good Morning,
Can we use the results of FTIR absorbance spectra interpretation to explain and interpret FTIR transmittance spectra (concerning the peaks of certain wavenumbers)?
Yes, the results of FTIR absorbance spectra interpretation can be used to explain and interpret FTIR transmittance spectra, especially concerning the peaks of certain wavenumbers.
FTIR absorbance spectra and FTIR transmittance spectra are two different ways of presenting the same information about a sample's molecular composition. In an absorbance spectrum, the amount of light absorbed by a sample at each wavenumber is plotted, while in a transmittance spectrum, the amount of light transmitted through the sample at each wavenumber is plotted.
The peaks observed in the FTIR spectra are caused by the absorption of light by different functional groups in the sample. The position and intensity of these peaks can provide valuable information about the chemical composition of the sample. By analyzing the absorbance spectrum, one can identify the functional groups present in the sample and the bonds responsible for the observed peaks.
Once the functional groups and their associated peaks are identified in the absorbance spectrum, this information can be used to interpret the transmittance spectrum. The peaks observed in the transmittance spectrum are related to the same functional groups and bonds identified in the absorbance spectrum. Therefore, one can use the information gained from the absorbance spectrum interpretation to identify the peaks observed in the transmittance spectrum and their corresponding functional groups.
In summary, the information obtained from FTIR absorbance spectra interpretation can be used to explain and interpret FTIR transmittance spectra, especially concerning the peaks of certain wavenumbers.
Totally agreed. For qualitative analysis for the identification of functional groups in an organic material, FTIR is the best method to use. The wavenumber doesn’t change for the same functional groups. That’s why it is so amazing to use. However, if used for quantitative analysis is another matter.
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