To deconvolute FTIR data for metal bidentate bridging, metal bidentate chelate, linear dimmer, and cyclic dimmer peaks, you can follow these steps:
Identify the peaks in your FTIR spectrum that correspond to the different types of bonds you are interested in.
Choose a deconvolution method. There are a number of different deconvolution methods available, such as Gaussian deconvolution, Lorentzian deconvolution, and Voigt deconvolution. The best deconvolution method to use will depend on the specific nature of your data.
Deconvolve the peaks in your FTIR spectrum. This involves fitting a mathematical function to each peak in order to separate it from the other peaks in the spectrum.
Analyze the deconvoluted peaks. Once you have deconvoluted the peaks in your FTIR spectrum, you can analyze them to determine the different types of bonds that are present in your sample.
Here are some additional tips for deconvolution of FTIR data:
Use a good quality FTIR spectrum. The better the quality of the spectrum, the easier it will be to deconvolute the peaks.
Use a deconvolution software program. There are a number of different deconvolution software programs available, both commercial and open source.
Be careful not to over-deconvolute the spectrum. Over-deconvolution can lead to inaccurate results.
Validate your results. Once you have deconvoluted the spectrum, compare the results to reference data to make sure that they are accurate.
Here are some references that provide more detailed information on deconvolution of FTIR data:
"Deconvolution of FTIR Spectra for Quantitative Analysis" by B. Stuart, Infrared Spectroscopy: Fundamentals and Applications, 2004.
"FTIR Deconvolution: A Practical Guide" by B.H. Stuart, Infrared Spectroscopy: Fundamentals and Applications, 2004.
"Deconvolution of FTIR Spectra: A Review" by J.M. Chalmers and P.R Griffiths, Analytical Chemistry, 1977.