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Updated: May 20, 2025

Detection of Toxin Translocation into the Host Cytosol by Surface Plasmon Resonance
Published on: January 3, 2012
Enhancing Shiga toxin detection using surface plasmon resonance a study of antibody immobilization strategies
Zahra Karbalaee1, Ali Hossein Rezayan2, Ramezan Ali Taheri3
1Department of Nanobiotechnology and Biomimetics, School of Bioengineering, College of Interdisciplinary Science and Technology, University of Tehran, Tehran, Iran.
Abstract:
This study demonstrates enhanced detection of Shiga toxin (Stx), a key virulence factor in Shigella dysenteriae-induced bloody diarrhea, through optimized surface plasmon resonance (SPR) biosensor design. We present a comparative evaluation of antibody immobilization strategies, revealing significant advantages of protein G-mediated oriented immobilization over conventional covalent attachment. The covalent (non-oriented) approach using 11-mercaptoundecanoic acid-modified chip showed moderate performance (KD = 37 nM, LOD = 28 ng/mL). In contrast, protein G-assisted orientation dramatically improved detection capabilities, achieving a 2.9-fold lower detection limit (9.8 ng/mL) and 2.3-fold higher binding affinity (KD = 16 nM). Control measurements with free antibody-antigen interactions established a baseline affinity (KD = 10 nM), demonstrating that the oriented method preserves 63% of native binding efficiency versus only 27% in the covalent approach. Mechanistic studies attribute these improvements to protein G's ability to maintain optimal antibody orientation, thereby: (1) maximizing paratope accessibility, (2) minimizing steric interference, and (3) preserving binding site functionality. The 57% reduction in KD relative to covalent immobilization confirms the method's efficacy in maintaining antibody performance post-immobilization. These findings establish protein G-mediated orientation as the superior strategy for SPR-based Stx detection, offering substantial improvements in sensitivity and reliability for clinical diagnostics and food safety applications. The approach demonstrates particular promise for rapid, label-free detection of bacterial toxins in resource-limited settings.
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