Affiliations 

  • 1 Institute of Nano Electronic Engineering, Universiti Malaysia Perlis (UniMAP), Kangar, Perlis, 01000, Malaysia
  • 2 Centre for Artificial Intelligence and Robotics, Universiti Teknologi Malaysia (UTM), Jalan Sultan Yahya Petra, Kuala Lumpur, 51400, Malaysia
  • 3 Advanced Control Systems Laboratory, Department of Mechanical Systems Engineering, Tokyo City University (TCU), Tamazutsumi Setagaya-ku, Tokyo, 158-8557, Japan
Biotechnol Appl Biochem, 2022 Dec;69(6):2507-2516.
PMID: 34894363 DOI: 10.1002/bab.2300

Abstract

The current world condition is dire due to epidemics and pandemics as a result of novel viruses, such as influenza and the coronavirus, causing acute respiratory syndrome. To overcome these critical situations, the current research seeks to generate a common surveillance system with the assistance of a controlled Internet of Things operated under a Gaussian noise channel. To create the model system, a study with an analysis of H1N1 influenza virus determination on an interdigitated electrode (IDE) sensor was validated by current-volt measurements. The preliminary data were generated using hemagglutinin as the target against gold-conjugated aptamer/antibody as the probe, with the transmission pattern showing consistency with the Gaussian noise channel algorithm. A good fit with the algorithmic values was found, displaying a similar pattern to that output from the IDE, indicating reliability. This study can be a model for the surveillance of varied pathogens, including the emergence and reemergence of novel strains.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.