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Sökning: WFRF:(Lundström Ingemar 1941 ) > (2020-2022) > Nanoplasmonic Avidi...

Nanoplasmonic Avidity-Based Detection and Quantification of IgG Aggregates

Tran, Thuy, 1980- (författare)
Linköpings universitet,Biofysik och bioteknik,Tekniska fakulteten
Martinsson, Erik (författare)
ArgusEye AB, S-58336 Linkoping, Sweden
Vargas, Sergio (författare)
Wolfram MathCore AB, S-58330 Linkoping, Sweden
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Lundström, Ingemar, 1941- (författare)
Linköpings universitet,Sensor- och aktuatorsystem,Tekniska fakulteten
Mandenius, Carl-Fredrik, 1954- (författare)
Linköpings universitet,Biofysik och bioteknik,Tekniska fakulteten
Aili, Daniel, 1977- (författare)
Linköpings universitet,Biofysik och bioteknik,Tekniska fakulteten
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 (creator_code:org_t)
2022-11-01
2022
Engelska.
Ingår i: Analytical Chemistry. - : AMER CHEMICAL SOC. - 0003-2700 .- 1520-6882. ; 94:45, s. 15754-15762
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
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  • Production of therapeutic monoclonal antibodies (mAbs) is a complex process that requires extensive analytical and bioanalytical characterization to ensure high and consistent product quality. Aggregation of mAbs is common and very problematic and can result in products with altered pharmacodynamics and pharmacokinetics and potentially increased immunogenicity. Rapid detection of aggregates, however, remains very challenging using existing analytical techniques. Here, we show a real-time and label-free fiber optical nanoplasmonic biosensor system for specific detection and quantification of immunoglobulin G (IgG) aggregates exploiting Protein A mediated avidity effects. Compared to monomers, IgG aggregates were found to have substantially higher apparent affinity when binding to Protein Afunctionalized sensor chips in a specific pH range (pH 3.8-4.0). Under these conditions, aggregates and monomers showed significantly different binding and dissociation kinetics. Reliable and rapid aggregate quantification was demonstrated with a limit of detection (LOD) and limit of quantification (LOQ) of about 9 and 30 mu g/mL, respectively. Using neural network-based curve fitting, it was further possible to simultaneously quantify monomers and aggregates for aggregate concentrations lower than 30 mu g/mL. Our work demonstrates a unique avidity-based biosensor approach for fast aggregate analysis that can be used for rapid at-line quality control, including lot/batch release testing. This technology can also likely be further optimized for real-time in-line monitoring of product titers and quality, facilitating process intensification and automation.

Ämnesord

NATURVETENSKAP  -- Kemi -- Analytisk kemi (hsv//swe)
NATURAL SCIENCES  -- Chemical Sciences -- Analytical Chemistry (hsv//eng)

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