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Enzyme-Linked Immunosorbent Assay01:33

Enzyme-Linked Immunosorbent Assay

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In 1971, Peter Perlman and Eva Engvall developed an Enzyme-linked immunosorbent assay (ELISA or EIA). ELISA differs from western blot in that the assays are conducted in microtiter plates or in vivo rather than on an absorbent membrane.
There are many different types of ELISAs, but they all involve an antibody molecule whose constant region binds an enzyme, leaving the variable region free to bind its specific antigen.  Enzyme-substrate reaction allows the antigen to be visualized or...
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Development and Validation of an Ultrasensitive Single Molecule Array Digital Enzyme-linked Immunosorbent Assay for Human Interferon-&#945;
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Singlicate bead-based immunoassay for biomarker quantitation in sub-microliter volume sample.

Sang Hyun Lee1, Myeongsik Shin1, Chang Heon Lee1

  • 1Department of Chemistry, Seoul National University, Seoul, 08826, Republic of Korea.

Biosensors & Bioelectronics
|May 11, 2025
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Summary

A new Forward scattering Correction Using a Single-bead (FoCUS) method enables sensitive biomarker detection from minimal sample volumes. This innovation significantly improves detection limits for point-of-care testing devices.

Keywords:
Bead-based immunoassayForward scattering correctionMicrofluidicsSinglicateSubmicroliter analysis

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Area of Science:

  • Biomedical Engineering
  • Analytical Chemistry
  • Diagnostics

Background:

  • Point-of-care testing (PoCT) is crucial for disease diagnostics.
  • Detecting biomarkers from minimal sample volumes is challenging for PoCT.

Purpose of the Study:

  • To develop a user-friendly method for biomarker detection using minimal sample volumes.
  • To enhance sensitivity and reduce sample volume requirements for PoCT.

Main Methods:

  • Introduced Forward scattering Correction Using a Single-bead (FoCUS) platform.
  • Utilized tiny beads and a small chip for sample analysis.
  • Employed a novel signal correction strategy using simultaneous forward scattering signals.

Main Results:

  • Achieved a 1000-fold reduction in required sample volume.
  • Decreased relative standard deviation of sample signals by 2.7-fold.
  • Improved detection limits by 4.3-fold.
  • Successfully detected myoglobin from 0.1 μL of sample.

Conclusions:

  • FoCUS significantly reduces sample volume requirements for biomarker detection.
  • The platform demonstrates high sensitivity and improved detection limits for PoCT.
  • FoCUS shows potential for multiplex biomarker immunoassays in resource-limited settings.