A new alternative tool to analyse glycosylation in pharmaceutical proteins based on infrared spectroscopy combined with nonlinear support vector regression-Reference-Cited by-同舟云学术

A new alternative tool to analyse glycosylation in pharmaceutical proteins based on infrared spectroscopy combined with nonlinear support vector regression

Published:2022 Issue:6 Volume:147 Page:1086-1098
ISSN:0003-2654
Container-title:The Analyst
language:en
Short-container-title:Analyst

Author:

Hamla Sabrina¹^ORCID,Sacré Pierre-Yves¹,Derenne Allison²,Derfoufi Kheiro-Mouna²,Cowper Ben³,Butré Claire I.⁴,Delobel Arnaud⁴^ORCID,Goormaghtigh Erik²^ORCID,Hubert Philippe¹,Ziemons Eric¹

Affiliation:

1. University of Liege (ULiege), CIRM, Vibra-Sante Hub, Department of Pharmacy, Laboratory of Pharmaceutical Analytical Chemistry, Liege, Belgium

2. Center for Structural Biology and Bioinformatics, Laboratory for the Structure and Function of Biological Membranes, ULB, Campus Plaine CP206/02, 1050 Brussels, Belgium

3. National Institute for Biological Standards and Control, Blanche Lane, South Mimms, Potters Bar, Hertfordshire, EN6 3QG, UK

4. Quality Assistance, Techno Parc de Thudinie 2, 6536 Thuin, Belgium

Abstract

FT-IR spectroscopy combined with a nonlinear Support Vector Regression is a very powerful alternative tool for the quantification of protein glycosylation. SVR regression is an attractive tool to deal with the problem of non-linearities.

Funder

European Orthodontic Society

Service Public de Wallonie

Publisher

Royal Society of Chemistry (RSC)

Subject

Electrochemistry,Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2022/AN/D1AN00697E

Reference36 articles.

1. Glycan characterization of biopharmaceuticals: Updates and perspectives

2. Glycan analysis of therapeutic glycoproteins