To whom may have a solid background in X-ray photoelectron spectroscopy,
The technical deconvoluting way is not an issue for me, I wonder how I can decide the number of shoulder peaks (or hidden peaks underneath). For example, this old research (A.P. Grosvenor et al. / Surface Science 600 (2006) 1771–1779) tells us they deconvoluted the spectrum in 4 Ni-related peaks and 2 satellites, without any reasoning or previous step. I found many similar cases in other outstanding research, it seems they assume that most of us already understood/or agreed with the number of possible oxidation states.
I appreciate your answer in advance.
Dear YP
1. Subtract the background signal from the XPS spectra.
2. Normalize the XPS spectra to the same scale.
3. Apply a deconvolution algorithm to the XPS spectra.
4. Identify the peaks in the XPS spectra and assign them to the corresponding elements.
5. Calculate the relative concentrations of the elements in the sample.
Deconvolution is the process of separating overlapping peaks in an XPS spectra. It involves subtracting the background signal from the XPS spectra, normalizing the XPS spectra to the same scale, applying a deconvolution algorithm to the XPS spectra, and identifying the peaks in the XPS spectra and assigning them to the corresponding elements. Once the peaks have been identified, the relative concentrations of the elements in the sample can be calculated.
Dear Dr. Sagayaraj,
Thank you very much for your quick answer.
My concern is about step 3 and 4. To apply the algorithm, we should decide and give a certain number of peaks in there. How can I tell whether it has 2, 3, or 4 deconvoluted peaks?
Step 4 is also a concern: if they are very closely overlapped, and if I cannot be sure which is which (e.g. if I don't have any proper references), then is there any tip? How can we distinguish them?
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