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How to Analyse XPS Data / Plot / Graph / in Research Paper?
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How to Analyse XPS Data / Plot / Graph / in Research Paper?

How to Analyze and Interpret XPS Data in Research Papers

Introduction to XPS Analysis

  • The video discusses how to analyze and interpret X-ray Photoelectron Spectroscopy (XPS) data for research papers, theses, or dissertations.
  • The speaker synthesizes zinc oxide and graphene oxide composite as a case study, emphasizing that the analysis method remains consistent across different materials.

Understanding XPS Spectra

  • Two types of spectra are utilized in XPS: survey spectra for elemental analysis and high-resolution spectra for detailed bonding information.
  • In the context of zinc oxide and graphene oxide composites, key elements identified include zinc, oxygen, and carbon.

Deconvoluting Peaks in Spectra

  • The initial survey spectrum shows convoluted peaks which require deconvolution for accurate interpretation.
  • High-resolution spectra allow identification of various bonding types such as carbon-carbon and carbon-oxygen interactions.

Detailed Peak Analysis

  • Asymmetric peaks observed in the oxygen spectrum provide insights into defects within the material.
  • While some bonding details may be visible in survey spectra, high-resolution analysis is necessary for precise energy identification.

Writing Up Your Findings

  • When documenting findings, it’s crucial to state that XPS reveals both elemental composition and interfacial interactions among components like zinc, oxygen, and carbon.
  • Each peak must be explained thoroughly; for instance, the carbon 1 peak indicates contributions from graphene oxide rather than zinc.

Importance of References

  • Citing references strengthens claims made about results matching existing literature; this is essential when interpreting each element's peak.
  • Summarizing findings confirms successful integration of zinc within graphene oxide structures.
Playlists: XPS - X-rays Photoelectron Spectroscopy
Video description

This video explains how to interpret XPS data in research paper or Thesis | Dissertation? As we know that in XPS, we have to take two spectra i.e., Survey Spectra & high resolution Spectra We have to write details about the survey spectra first then follow the details interpretation of individual main peaks. Survey Spectra vs. High Resolution Spectra Both survey spectra & high-resolution spectra are required for a complete a surface analysis of the sample i.e., what elements are present and what are their chemical states. Survey Spectra: It is also called Broad Scan, Broad overview Purpose: Elemental identification & qualitative analysis Energy Range: Broad (focused on all peaks) (0 to 1400 eV) Resolution: Lower and the separation of peaks can not be seen clearly Acquisition Time: Shorter Data: Types of elements only Peak Identification: Peaks corresponding to different elements are identified based on their characteristic binding energies. Surface Contaminants: Common contaminants like carbon (C 1s) and oxygen (O 1s) can be easily identified Relative Abundance: The relative intensities of the peaks can give an approximate indication of the relative amounts of the elements present Deconvolution on a survey spectrum is NOT a good idea. Now let's discuss the other one. High Resolution Spectra: It is also called in-depth overview Purpose: Chemical state analysis and quantitative analysis Energy Range: Narrow (focused on specific peaks) (~ 20 eV) Resolution: Higher Spin orbit separation (Δ) can be seen Acquisition Time: Longer Data: Determines the chemical states and concentrations of the elements. Peak Deconvolution: Detailed analysis can deconvolute overlapping peaks to identify different chemical states (e.g., different oxidation states of the same element) Quantitative Analysis: The areas under the peaks can be used for quantitative analysis to determine the concentration of different chemical states. Chemical Shifts: Small shifts in peak positions can provide insights into the chemical bonding environment and changes in electronic structure Deconvolution is fine on a high-res spectrum Please subscribe to my channel and share it.