Raman spectroscopic analysis of high molecular weight proteins in solution - considerations for sample analysis and...

Area of Science:

• Biochemistry
• Analytical Chemistry
• Spectroscopy

Background:

• Plasma protein levels can indicate various diseases.
• Accurate and early detection of these changes is crucial for timely medical intervention.
• Existing methods may lack the sensitivity or specificity for early-stage disease detection.

Purpose of the Study:

• To explore Raman spectroscopy combined with multivariate regression and ion exchange chromatography for quantitative monitoring of high molecular weight plasma proteins.
• To optimize measurement protocols for detecting disease-associated protein imbalances.
• To evaluate the clinical application potential for early disease diagnostics.

Main Methods:

• Quantitative analysis of plasma proteins using Raman spectroscopy.
• Application of multivariate regression techniques for data analysis.
• Utilisation of ion exchange chromatography for protein separation.
• Optimization of pre-processing methods and mild sonication for improved accuracy.

Main Results:

• Accurate multivariate regression models were developed to detect subtle changes in protein concentration.
• Scattering from fibrinogen was identified as a challenge, but pre-processing methods mitigated this issue.
• Ion exchange chromatography effectively separated fibrinogen, enhancing prediction quality.

Conclusions:

• The proposed Raman spectroscopy approach, enhanced by chromatography and regression, can quantitatively monitor diagnostically relevant protein changes.
• This method shows promise for the early detection of pathological disorders linked to altered plasma protein levels.
• The technique is suitable for strategic clinical applications in early disease diagnostics.