Fast Detection under Native Conditions
Flow Induced Dispersion Analysis (FIDA) is a new revolutionary technology making it possible for you to both improve drug safety and speed up your drug approval processes.
This new proprietary technology is developed for quantification and characterization of proteins (including biologics) and particles up to 1,000nm diameter, including complex interactions, stoichiometry, oligomeric states etc.
The FIDA technology is characterized by:
- Being fast (minutes)
- Requiring very small sample amounts (nanoL-microL)
- Being exceptionally tolerant to the sample matrix.
Contrary to most other procedures, the FIDA methodology is based on binding in homogenous solution; complications related to non-specific surface adsorption and challenging assay development is therefore avoided.
The unique features of FIDA enable characterization and quantification in native (biorelevant) environments. In-built assay quality control ensures high data reliability and walk-away automation sets free resources for other tasks.
The FIDA principle
The FIDA technology is based on dispersion analysis of a parabolic hydrodynamic flow profile. The dispersion of an injected sample zone of an indicator depends on flow channel dimensions, flow rate and apparent diffusivity of the indicator. Dedicated Fidabio instrumentation and software allows accurate quantification of the apparent diffusivity of the indicator in different environments. Particularly, the interaction with an analyte such as an antibody-based drug may be quantified. The principle is illustrated in the figure below.
All patent rights are held by our company, Fida Biosystems ApS.
Adrian Krzyzanowski, Raphael Gasper, Hélène Adihou, Peter ‘t Hart and Herbert Waldmann: Biochemical Investigation of the Interaction of pICln, RioK1 and COPR5 with the PRMT5-MEP50 Complex
Morten E. Pedersen, Ragna M.S. Haegebaert, Jesper Østergaardb, and Henrik Jensen: Size-based characterization of adalimumab and TNF-α interactions using Flow Induced Dispersion Analysis: Assessment of Avidity-stabilized Multiple Bound Species
Nikolaj Riis Christensen, Christian Parsbæk Pedersen, Vita Sereikaite, Jannik Nedergaard Pedersen, Maria Vistrup-Parry, Andreas Toft Sørensen, Daniel Otzen, Lise Arleth, Kaare Teilum, Kenneth L. Madsen and Kristian Strømgaard: Bi-directional protein-protein interactions control liquid-liquid phase separation of PSD-95 and its interaction partners
Morten E. Pedersen, Jesper Østergaard, and Henrik Jensen: In-Solution IgG Titer Determination in Fermentation Broth Using Affibodies and Flow-Induced Dispersion Analysis.
ACS Omega 2020, 5, 18, 10519–10524
Cholak E, Bugge K, Khondker A, et al.: Avidity within the N-terminal anchor drives α-synuclein membrane interaction and insertion.
The FASEB Journal. 2020;00:1–21
Pedersen, M. E.; Gad, S. I.; Østergaard, J.; Jensen, H.
Protein Characterization in 3D: Size, Folding, and Functional Assessment in a Unified Approach.
Anal. Chem. 2019.
Pedersen, M. E.; Østergaard, J.; Jensen, H.
Flow-Induced Dispersion Analysis (FIDA) for Protein Quantification and Characterization.
In Methods in Molecular Biology; 2019.
M. S. Restan, M. E. Pedersen, H. Jensen, and S. Pedersen-Bjergaard : Electromembrane Extraction of Unconjugated Fluorescein Isothiocyanate from Solutions of Labeled Proteins Prior to Flow Induced Dispersion Analysis
Anal. Chem., 2019.
Poulsen, N. N.; Pedersen, M. E.; Østergaard, J.; Petersen, N. J.; Nielsen, C. T.; Heegaard, N. H. H.; Jensen, H.
Flow-Induced Dispersion Analysis for Probing Anti-DsDNA Antibody Binding Heterogeneity in Systemic Lupus Erythematosus Patients: Toward a New Approach for Diagnosis and Patient Stratification.
Anal. Chem. 2016, 88 (18), 9056–9061.
Poulsen, N. N.; Andersen, N. Z.; Østergaard, J.; Zhuang, G.; Petersen, N. J.; Jensen, H.
Flow Induced Dispersion Analysis Rapidly Quantifies Proteins in Human Plasma Samples.
Analyst 2015, 140 (13), 4365–4369.
Jensen, H.; Østergaard, J.
Flow Induced Dispersion Analysis Quantifies Noncovalent Interactions in Nanoliter Samples.
J. Am. Chem. Soc. 2010, 132 (12), 4070-4071.