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Label-free ultra-sensitive colorimetric detection of hepatitis E virus based on oxidase-like activity of MnO2 nanosheets

  • Naveed Alam
  • , Chandan Hunsur Ravikumar
  • , Muralikrishna Sreeramareddygari
  • , Mithran Somasundrum
  • , Werasak Surareungchai
  • K. Mongkut's Univ. Technol. Thonburi
  • Jain University
  • National Science and Technology Development Agency (NSTDA)

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Hepatitis E virus (HEV) is an evolving infectious entity that causes viral hepatitis infections worldwide. Current routine methods of identifying and diagnosing HEV are someway laborious and costly. Based on the biomimicking oxidase-like activity of MnO2 nanosheets, we designed a label-free, highly sensitive colorimetric sensing technique for HEV detection. The prepared MnO2 catalyst displays intrinsic biomimicking oxidase-like catalytic activity and efficiently oxidizes the 3,3′,5,5′-tetramethylbenzidine (TMB) substrate from colorless to blue colored oxidized TMB (oxTMB) product which can be measured at 652 nm by UV–visible spectrum. When the HEV-DNA was added, DNA adsorbed easily on MnO2 surface through physical adsorption and electrostatic interaction which hinders the oxidase-like catalytic activity of MnO2. Upon the introduction of target, the HEV target DNA binds with its complementary ssDNA on the surface of MnO2, the hybridized DNA releases from the surface of MnO2, which leads to recovery of oxidase-like catalytic activity of MnO2. This strategy was applied to construct a colorimetric technique for HEV detection. The approach works in the linear range of 1 fM–100 nM DNA concentration with the limit of detection (LOD) of 3.26 fM (S/N = 3) and quantitative limit (LOQ) of 36.08 fM. The TMB-MnO2 platform was highly selective for HEV target DNA detection when compared with potential interferences. Result of serum sample analysis demonstrates that this sensing system can be used for clinical diagnostic applications. Graphical Abstract: [Figure not available: see fulltext.]

Original languageEnglish
Pages (from-to)703-713
Number of pages11
JournalAnalytical and Bioanalytical Chemistry
Volume415
Issue number4
DOIs
Publication statusPublished - Feb 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Biosensors
  • DNA
  • Hepatitis E virus
  • MnO
  • Nanozymes
  • Oxidase-mimicking

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