Using Temporally and Spatially Resolved Measurements to Improve the Sensitivity of Fluorescence-Based Immunoassays

Detecting low concentrations of biomarkers is essential in clinical laboratories. To improve analytical sensitivity, especially in identifying fluorescently labeled molecules, typical optical detection systems, consisting of a photodetector or camera, utilize time-resolved measurements. Taking a dif...

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Bibliographic Details
Published in:Biosensors (Basel) 2024-04, Vol.14 (5), p.220
Main Authors: Kremer, Ran, Roth, Shira, Bross, Avital, Danielli, Amos, Noam, Yair
Format: Article
Language:English
Subjects:
Aggregates
Algorithms
Antibodies
Biomarkers
Biomarkers - analysis
Biosensing Techniques
Biosensors
Cytokines
Digital cameras
Fluorescence
Fluorescent indicators
Humans
image processing
Immunoassay
Immunoassay - methods
Immunoassays
in vitro diagnostics
Interleukin 8
Interleukin-8 - analysis
Lasers
Limit of Detection
Low concentrations
magnetic beads
Magnetic fields
Methods
Quantum dots
Sensitivity analysis
Signal processing
Spectrum analysis
Target detection
Time measurement
Zika virus
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Summary:Detecting low concentrations of biomarkers is essential in clinical laboratories. To improve analytical sensitivity, especially in identifying fluorescently labeled molecules, typical optical detection systems, consisting of a photodetector or camera, utilize time-resolved measurements. Taking a different approach, magnetic modulation biosensing (MMB) is a novel technology that combines fluorescently labeled probes and magnetic particles to create a sandwich assay with the target molecules. By concentrating the target molecules and then using time-resolved measurements, MMB provides the rapid and highly sensitive detection of various biomarkers. Here, we propose a novel signal-processing algorithm that enhances the detection and estimation of target molecules at low concentrations. By incorporating both temporally and spatially resolved measurements using human interleukin-8 as a target molecule, we show that the new algorithm provides a 2-4-fold improvement in the limit of detection and an ~25% gain in quantitative resolution.
ISSN:2079-6374
2079-6374
DOI:10.3390/bios14050220