Ultraviolet Spectroscopy as a Tool in Therapeutic Protein Development

“…Theoretically, the complex signal obtained by a DII absorbance spectrum of the protein can be analyzed to monitor slight structural modifications according to local environment changes around the lateral chain of aromatic amino acids (ArAs). Contributions of phenylalanine (Phe), tyrosine (Tyr), and tryptophan (Trp) residues to the second-derivative spectra have been identified in regions 245-270, 265-285, and 265-300 nm, respectively [14]. This approach has been already used for stability assessment of mAbs [24].…”

Section: Introductionmentioning

confidence: 99%

“…Indeed, nonionic surfactants such as polysorbate 20 or 80 and sodium chloride for compounding are commonly used to prevent degradation and enhance stability [16,17]. Besides, with the availability of diode array detectors and among all mathematical algorithms, second-derivative UV spectroscopy (DII-UV) has emerged as a promising sensitive tool to explore changes in the secondary or tertiary structures of proteins [14,[18][19][20][21][22][23][24]. Theoretically, the complex signal obtained by a DII absorbance spectrum of the protein can be analyzed to monitor slight structural modifications according to local environment changes around the lateral chain of aromatic amino acids (ArAs).…”

Section: Introductionmentioning

confidence: 99%

“…Interesting apparatus, equipped with UV/ FTIR or UV/Raman spectroscopy (Multispec® and QC prep+ ®, respectively), are available for the QC of a wide range of anticancer drugs such as cytotoxic drugs or mAbs. However, discrimination of mAbs solely based on simple UV spectra remains complex, and this technique is rather employed for quantification purposes or turbidity assessments [13,14]. Recently, mAb discrimination experiments by FTIR or Raman have been performed, but the excipients may influence the matching process, preventing the discrimination between mAbs sharing quite similar formulation compositions [15].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

High-throughput identification of monoclonal antibodies after compounding by UV spectroscopy coupled to chemometrics analysis

et al. 2016

View full text Add to dashboard Cite

Monoclonal antibodies (mAbs) compounded into the hospital pharmacy are widely used nowadays. Their fast identification after compounding and just before administration to the patient is of paramount importance for quality control at the hospital. This remains challenging due to the high similarity of the structure between mAbs. Analysis of the ultraviolet spectral data of four monoclonal antibodies (cetuximab, rituximab, bevacizumab, and trastuzumab) using unsupervised principal component analysis led us to focus exclusively on the second-derivative spectra. Partial least squares-discriminant analysis (PLS-DA) applied to these data allowed us to build models for predicting which monoclonal antibody was present in a given infusion bag. The calibration of the models was obtained from a k-fold validation. A prediction set from another batch was used to demonstrate the ability of the models to predict well. PLS-DA models performed on the spectra of the region of aromatic amino acid residues presented high ability to predict mAb identity. The region corresponding to the tyrosine residue reached the highest score of good classification with 89 %. To improve the score, standard normal variate (SNV) preprocessing was applied to the spectral data. The quality of the optimized PLS-DA models was enhanced and the region from the tyrosine/tryptophan residues allowed us excellent classification (100 %) of the four mAbs according to the matrix of confusion. The sensitivity and specificity performance parameters assessed this excellent classification. The usefulness of the combination of UV second-derivative spectroscopy to multivariate analysis with SNV preprocessing demonstrated the unambiguous identification of commercially available monoclonal antibodies. Graphical abstract PLS-DA models on the spectra of the region of aromatic amino acid residues allows mAb identification with high prediction.

show abstract

“…[30] The extrinsic chromophores in proteins, such as saccharide-protein bonds, as well as protein aggregates, which have an influence on turbidity, have absorption bands above 300 nm until 400 nm. [31] Proteins in beer are related mainly to colour, flavour, haze formation, and foam stability. [12] On the other hand, polyphenols (compounds with antioxidant activity), whose concentrations in beers range from 150 to 330 mg/L, [32,33] have an influence on colour (because of their oxidation in the presence of trace metals) and non-biological haze (interaction with proteins).…”

Section: Uv-vis Absorption Spectra Of Beer Samplesmentioning

confidence: 99%

Rapid monitoring of beer-quality attributes based on UV-Vis spectral data

Oliveira

Filho

Rocha

et al. 2017

International Journal of Food Properties

View full text Add to dashboard Cite

This work aimed to determinate eight beer properties using UV-Vis spectra in combination with principal component regression (PCR) or artificial neural network (ANN) models. A statistical experimental design was performed to generate the calibration data. First, principal component analysis (PCA) was applied to the original spectral data, and the scores in significant PCs were utilized to calibrate both models. PCR showed poor correlation for beer parameters (R 2 < 0.61). The ANNs showed satisfactory correlations (R 2 = 0.74-0.92) and low relative error considering a variable range (E r < 9%) for most of the beer-quality attributes, but vicinal diketones (R 2 = 0.56, E r = 16.69%). Once implemented, this method would be fast and low cost. ARTICLE HISTORY

show abstract

Ultraviolet Spectroscopy as a Tool in Therapeutic Protein Development

Cited by 39 publications

References 75 publications

The impact of glycosylation on monoclonal antibody conformation and stability

The impact of glycosylation on monoclonal antibody conformation and stability

High-throughput identification of monoclonal antibodies after compounding by UV spectroscopy coupled to chemometrics analysis

Rapid monitoring of beer-quality attributes based on UV-Vis spectral data

Contact Info

Product

Resources

About