Issue 24, 2018

Raman spectroscopic analysis of high molecular weight proteins in solution – considerations for sample analysis and data pre-processing

Abstract

This study explores the potential of Raman spectroscopy, coupled with multivariate regression techniques and a protein separation technique (ion exchange chromatography), to quantitatively monitor diagnostically relevant changes in high molecular weight proteins in liquid plasma. Measurement protocols to detect the imbalances in plasma proteins as an indicator of various diseases using Raman spectroscopy are optimised, such that strategic clinical applications for early stage disease diagnostics can be evaluated. In a simulated plasma protein mixture, concentrations of two proteins of identified diagnostic potential (albumin and fibrinogen) were systematically varied within physiologically relevant ranges. Scattering from the poorly soluble fibrinogen fraction is identified as a significant impediment to the accuracy of measurement of mixed proteins in solution, although careful consideration of pre-processing methods allows construction of an accurate multivariate regression prediction model for detecting subtle changes in the protein concentration. Furthermore, ion exchange chromatography is utilised to separate fibrinogen from the rest of the proteins and mild sonication is used to improve the dispersion and therefore quality of the prediction. The proposed approach can be expeditiously employed for early detection of pathological disorders associated with high or low plasma/serum proteins.

Graphical abstract: Raman spectroscopic analysis of high molecular weight proteins in solution – considerations for sample analysis and data pre-processing

Supplementary files

Article information

Article type
Paper
Submitted
03 sep 2018
Accepted
24 sep 2018
First published
08 okt 2018

Analyst, 2018,143, 5987-5998

Raman spectroscopic analysis of high molecular weight proteins in solution – considerations for sample analysis and data pre-processing

D. R. Parachalil, B. Brankin, J. McIntyre and H. J. Byrne, Analyst, 2018, 143, 5987 DOI: 10.1039/C8AN01701H

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements