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Spectral standardization is crucial for widespread adoption of Fourier-transform infrared (FTIR) spectroscopy in clinical and industrial settings. This study presents a protocol for FTIR model standardization to normalize spectral variations and enable routine analysis.

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Spectroscopy

Background:

  • Spectroscopic techniques, like Fourier-transform infrared (FTIR) spectroscopy, analyze light-biological material interactions, forming the basis for disease screening, microbiological studies, and forensic investigations.
  • FTIR offers cost-effectiveness, minimal sample preparation, non-destructive analysis, and accuracy, but requires validation for clinical/industrial implementation.
  • Inter-instrument and inter-laboratory variations (e.g., humidity, CO2, instrument aging) introduce spectral alterations, hindering method standardization and widespread adoption.

Purpose of the Study:

  • To address the need for spectral standardization in FTIR spectroscopy.
  • To develop and present a protocol for model standardization using various transfer technologies for FTIR applications.
  • To enable reliable and routine spectrochemical analysis by reducing random spectral variations.

Main Methods:

  • Utilized calibration transfer procedures to standardize secondary instrument spectral responses to match a primary instrument.
  • Employed computational methods, including direct standardization (DS) and piecewise direct standardization (PDS), to normalize spectral variations.
  • Constructed a protocol for model standardization tailored for FTIR spectrochemical applications.

Main Results:

  • Demonstrated a method for normalizing spectral data affected by inter-individual, inter-instrument, and inter-laboratory variations.
  • Showcased the effectiveness of calibration transfer techniques in creating a unified spectral model.
  • Established a protocol that normalizes spectral responses, allowing measurements under different conditions to yield consistent results.

Conclusions:

  • Spectral standardization is critical for the widespread adoption of FTIR spectrochemical technologies.
  • The developed protocol is a significant step towards constructing practical spectrochemical analysis models for routine daily use.
  • This standardization approach mitigates uncertain and random variations, paving the way for more robust and reliable FTIR applications.