Raman spectroscopy and multivariate analysis for the rapid discrimination between native-like and non-native states in freeze-dried protein formulations

Autor: Yvan Vander Heyden, Bart De Spiegeleer, Jean Paul Remon, Jean-Michel Roger, Laurent Hansen, Sigrid Pieters, Matthias D'Hondt, B. Palagos, Chris Vervaet, Thomas De Beer
Přispěvatelé: Vrije Universiteit [Brussels] (VUB), Information – Technologies – Analyse Environnementale – Procédés Agricoles (UMR ITAP), Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Laboratory of Drug Quality & Registration, Universiteit Gent, Laboratory of Pharmaceutical Process Analytical Technology, Laboratory of Pharmaceutical Technology, Department of Pharmaceutics, Analytical Chemistry and Pharmaceutical Technology, Vrije Universiteit Brussel (VUB), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)
Předmět:
Chemistry
Pharmaceutical

Analytical chemistry
Pharmaceutical Science
02 engineering and technology
Spectrum Analysis
Raman

01 natural sciences
Protein Structure
Secondary

Excipients
Chemometrics
symbols.namesake
Raman spectroscopy
Multivariate analysis
Partial least squares regression
PROTEINE
Side chain
ANALYSE MULTIVARIEE
Least-Squares Analysis
Protein secondary structure
LYOPHILISATION
Second derivative
Principal Component Analysis
CONFORMATIONAL STATE
L-Lactate Dehydrogenase
Chemistry
010401 analytical chemistry
MULTIVARIATE ANALYSIS
LACTATE DEHYDROGENASE
Proteins
SPECTROSCOPIE
General Medicine
021001 nanoscience & nanotechnology
Linear discriminant analysis
0104 chemical sciences
CONFORMATION
Freeze Drying
Principal component analysis
[SDE]Environmental Sciences
symbols
RAMAN SPECTROSCOPY
0210 nano-technology
FREEZE-DRYING
PAT
Biotechnology
Zdroj: Vrije Universiteit Brussel
European Journal of Pharmaceutics and Biopharmaceutics
European Journal of Pharmaceutics and Biopharmaceutics, Elsevier, 2013, 85 (2), p. 263-p. 271. ⟨10.1016/j.ejpb.2013.03.035⟩
ISSN: 0939-6411
Popis: This study investigates whether Raman spectroscopy combined with multivariate analysis (MVA) enables a rapid and direct differentiation between two classes of conformational states, i.e., native-like and non-native proteins, in freeze-dried formulations. A data set comprising of 99 spectra, both from native-like and various types of non-native freeze-dried protein formulations, was obtained by freeze-drying lactate dehydrogenase (LDH) as model protein under various conditions. Changes in the secondary structure in the solid freeze-dried proteins were determined through visual interpretation of the blank corrected second derivative amide I band in the ATR-FTIR spectra (further called FTIR spectra) and served as an independent reference to assign class labels. Exploratory analysis and supervised classification, using Principal Components Analysis (PCA) and Partial Least Squares – Linear Discriminant Analysis (PLS–LDA), respectively, revealed that Raman spectroscopy is with 95% accuracy able to correctly discriminate between native-like and non-native states in the tested freeze-dried LDH formulations. Backbone (i.e., amide III) and side chain sensitive spectral regions proved important for making the discrimination between both classes. As discrimination was not influenced by the spectral signals from the tested excipients, there was no need for blank corrections. The Raman model may allow direct and automated analysis of the investigated quality attribute, opening possibilities for a real time and in-line quality indication as a future step. However, the sensitivity of the method should be further investigated and where possible improved.
Databáze: OpenAIRE