Literature DB >> 31941618

A self-calibrating electrochemical aptasensing platform: Correcting external interference errors for the reliable and stable detection of avian influenza viruses.

Inae Lee1, Seong-Eun Kim2, Jiho Lee3, Deok Ha Woo4, Seok Lee4, Heesoo Pyo1, Chang-Seon Song3, Joonseok Lee5.   

Abstract

Conventional electrochemical biosensing systems rely on a single output signal, which limits their certain practical application, specifically from the viewpoint of external interference factors causing electrochemical signal errors. This study reports a self-calibrating dual-electrode based electrochemical aptasensor for the reliable and independent detection of avian influenza viruses (AIVs), which are the primary cause of highly contagious respiratory diseases, under external interference factors. Both electrodes were fabricated using tungsten rods surface-modified with a 3D nanostructured porous silica film (3DNRE). Subsequently, methylene blue (MB) was loaded as a redox-active material into the pores and capped with corresponding aptamer. One electrode was capped with an anti-AIV nucleoprotein (NP) aptamer (AptAIV-MB@3DNRE) allowing target-specific binding, resulting in changes in electrochemical signal upon diffusional release of the loaded redox molecules. The other electrode was capped with a control aptamer (Aptcon-MB@3DNRE), serving as a reference to correct false responses generated by nonspecific aptamer detachment and MB release under environmental changes in pH and ion strength and presence of nontarget molecules from cell lysis debris. In the dual-electrode platform, Aptcon-MB@3DNRE provides a corrected baseline for the fluctuating original output signals from AptAIV-MB@3DNRE. Consequently, this dual-electrode platform exhibits excellent output-signal stability (relative standard deviation, RSD: 5.86%) compared to a conventional single-electrode platform (RSD: 30.13%) at equivalent concentrations of AIV NP samples under different reaction buffer conditions. Moreover, no further purification and washing steps were required, indicating that the strategy may represent a universal and reliable platform for the electrochemical aptamer-based detection of various biomolecules.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  3D nanostructures; Aptasensor; Avian influenza viruses; Dual electrode; Self-calibrating

Mesh:

Substances:

Year:  2020        PMID: 31941618     DOI: 10.1016/j.bios.2020.112010

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


  7 in total

1.  Nanomaterials-Based Sensors for Respiratory Viral Detection: A Review.

Authors:  Gowhar A Naikoo; Tasbiha Awan; Israr Ul Hassan; Hiba Salim; Fareeha Arshad; Waqar Ahmed; Abdullah M Asiri; Ahsanulhaq Qurashi
Journal:  IEEE Sens J       Date:  2021-05-31       Impact factor: 4.325

Review 2.  Aptamer-based biosensors for virus protein detection.

Authors:  Beibei Lou; Yanfei Liu; Meilin Shi; Jun Chen; Ke Li; Yifu Tan; Liwei Chen; Yuwei Wu; Ting Wang; Xiaoqin Liu; Ting Jiang; Dongming Peng; Zhenbao Liu
Journal:  Trends Analyt Chem       Date:  2022-07-19       Impact factor: 14.908

Review 3.  Biosensors for the detection of respiratory viruses: A review.

Authors:  Brayan Viana Ribeiro; Taís Aparecida Reis Cordeiro; Guilherme Ramos Oliveira E Freitas; Lucas Franco Ferreira; Diego Leoni Franco
Journal:  Talanta Open       Date:  2020-08-16

Review 4.  Recent Development of Aptasensor for Influenza Virus Detection.

Authors:  Soo Min Kim; Jinmyeong Kim; Seungwoo Noh; Hiesang Sohn; Taek Lee
Journal:  Biochip J       Date:  2020-11-16       Impact factor: 3.494

Review 5.  Advancements in electrochemical biosensing for respiratory virus detection: A review.

Authors:  Zhi Zhao; Changfu Huang; Ziyu Huang; Fengjuan Lin; Qinlin He; Dan Tao; Nicole Jaffrezic-Renault; Zhenzhong Guo
Journal:  Trends Analyt Chem       Date:  2021-03-12       Impact factor: 12.296

Review 6.  Electrochemical Affinity Biosensors Based on Selected Nanostructures for Food and Environmental Monitoring.

Authors:  Susana Campuzano; Paloma Yáñez-Sedeño; José M Pingarrón
Journal:  Sensors (Basel)       Date:  2020-09-08       Impact factor: 3.576

7.  SARS-CoV-2 spike protein detection through a plasmonic D-shaped plastic optical fiber aptasensor.

Authors:  Nunzio Cennamo; Laura Pasquardini; Francesco Arcadio; Lorenzo Lunelli; Lia Vanzetti; Vincenzo Carafa; Lucia Altucci; Luigi Zeni
Journal:  Talanta       Date:  2021-05-20       Impact factor: 6.057

  7 in total

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