Literature DB >> 22226409

Ultra-sensitive electrochemical immunosensor using analyte peptidomimetics selected from phage display peptide libraries.

Fernando Javier Arévalo1, Andrés González-Techera, María Alicia Zon, Gualberto González-Sapienza, Héctor Fernández.   

Abstract

Immunosensors for small analytes have been a great addition to the analytical toolbox due to their high sensitivity and extended analytical range. In these systems the analyte is detected when it competes for binding to the detecting antibody with a tracer compound. In this work we introduce the use of phage particles bearing peptides that mimic the target analyte as surrogates for conventional tracers. As a proof of concept, we developed a magneto-electrochemical immunosensor (EI) for the herbicide molinate and compare its performance with conventional formats. Using the same anti-molinate antibody and phage particles bearing a molinate peptidomimetic, the EI performed with an IC(50) of 0.15 ngmL(-1) (linear range from 4.4 × 10(-3) to 10 ngmL(-1)). Compared to the conventional ELISA, the EI was faster (minutes), performed with a much wider linear range, and the detection limit that was 2500-fold lower. The EI produced consistent measurements and could be successfully used to assay river water samples with excellent recoveries. By using the same EI with a conventional tracer, we found that an important contribution to the gain in sensitivity is due to the filamentous structure of the phage (9 × 1000 nm) which works as a multienzymatic tracer, amplifying the competitive reaction. Since phage-borne peptidomimetics can be selected from phage display libraries in a straightforward systematic manner and their production is simple and inexpensive, they can contribute to facilitate the development of ultrasensitive biosensors.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 22226409     DOI: 10.1016/j.bios.2011.12.019

Source DB:  PubMed          Journal:  Biosens Bioelectron        ISSN: 0956-5663            Impact factor:   10.618


  3 in total

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Review 2.  Virus outbreaks in chemical and biological sensors.

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Journal:  Micromachines (Basel)       Date:  2019-12-06       Impact factor: 2.891

  3 in total

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