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Related Experiment Video

Updated: Apr 19, 2026

Bio-layer Interferometry for Measuring Kinetics of Protein-protein Interactions and Allosteric Ligand Effects

Bio-layer Interferometry for Measuring Kinetics of Protein-protein Interactions and Allosteric Ligand Effects

Published on: February 18, 2014

Evaluation of back scatter interferometry, a method for detecting protein binding in solution.

S T Jepsen¹, T M Jørgensen, W Zong

¹Dept. of Clinical Biochemistry, Aalborg University Hospital, Hobrovej 18-22, 9000 Aalborg, Denmark.

|December 16, 2014

Summary

This summary is machine-generated.

Back Scatter Interferometry (BSI) is a sensitive refractive index sensor. This study found that protein interactions do not generate a BSI signal, challenging previous claims and highlighting sensor robustness.

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Area of Science:

Biomedical Engineering
Analytical Chemistry
Biophysics

Background:

Back Scatter Interferometry (BSI) is a proposed sensitive refractive index sensor for detecting biomolecular interactions.
Existing literature lacks a clear physical explanation for BSI's response to protein interactions.
Investigating BSI's reliability and potential artifacts is crucial for its application in biosensing.

Purpose of the Study:

To establish a Back Scatter Interferometry system for detailed investigation of its sensing mechanism.
To analyze the robustness of the BSI sensor against environmental factors like temperature and dissolved gases.
To critically evaluate the claimed contribution of protein interactions to the BSI signal.

Main Methods:

Development and implementation of a custom Back Scatter Interferometry setup.
Systematic analysis of interferometric signal contributions from temperature fluctuations and dissolved gases.
Quantitative assessment of refractive index sensitivity and long-term sensor stability.
Experimental validation using protein A and immunoglobulin G interaction assays.

Main Results:

Achieved a minimum detectable refractive index change at the 10⁻⁷ level.
Demonstrated long-term stability with an average drift of 2.0 × 10⁻⁷ per hour, correlated with temperature monitoring.
Observed no significant BSI signal attributable to protein A and immunoglobulin G binding affinities, contradicting prior literature.

Conclusions:

The BSI sensor exhibits high sensitivity and stability, with minimal drift under controlled conditions.
Environmental factors such as temperature variations and dissolved gases can introduce unwanted contributions to the BSI signal.
The study refutes the claim that general protein interactions generate a BSI signal, suggesting a need for re-evaluation of BSI applications in protein interaction analysis.