Metal Organic Frameworks as Biosensing Materials for COVID-19

Godwin A. Udourioh, Moses M. Solomon, Emmanuel I. Epelle

Research output: Journal PublicationReview articlepeer-review

24 Citations (Scopus)


The novel coronavirus disease (COVID-19) pandemic outbreak is the most startling public health crises with attendant global socio-economic burden ever experienced in the twenty-first century. The level of devastation by this outbreak is such that highly impacted countries will take years to recover. Studies have shown that timely detection based on accelerated sample testing and accurate diagnosis are crucial steps to reducing or preventing the spread of any pandemic outbreak. In this opinionated review, the impacts of metal organic frameworks (MOFs) as a biosensor in a pandemic outbreak is investigated with reference to COVID-19. Biosensing technologies have been proven to be very effective in clinical analyses, especially in assessment of severe infectious diseases. Polymerase chain reactions (PCR, RT-PCR, CRISPR) - based test methods predominantly used for SARS-COV-2 diagnoses have serious limitations and the health scientists and researchers are urged to come up with a more robust and versatile system for solving diagnostic problem associated with the current and future pandemic outbreaks. MOFs, an emerging crystalline material with unique characteristics will serve as promising biosensing materials in a pandemic outbreak such as the one we are in. We hereby highlight the characteristics of MOFs and their sensing applications, potentials as biosensors in a pandemic outbreak and draw the attention of researchers to a new vista of research that needs immediate action.

Original languageEnglish
Pages (from-to)535-553
Number of pages19
JournalCellular and Molecular Bioengineering
Issue number6
Publication statusPublished - Dec 2021
Externally publishedYes


  • Biosensors
  • Covid-19
  • Infectious diseases testing and detection
  • Metal organic frameworks
  • Pandemic outbreak

ASJC Scopus subject areas

  • Modelling and Simulation
  • General Biochemistry,Genetics and Molecular Biology


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