TB Research

Automated Detection of Tuberculosis Based on Cantilever Biosensor

Bali Thorat, Mukti E. Jadhav

Advances in intelligent systems research/Advances in Intelligent Systems Research · 2023-01

Abstract

Mycobacterium Tuberculosis is one of the most hazardous disease.Universally millions of people are suffering from this dangerous disease.Number of detection techniques are available, but due to its complex structure this infectious disease not get diagnose easily and within time.To prevent spreading the bacteria and to stop mortality there is a huge requirement to build an automated and easy technique which can detect tuberculosis at a developing phase.The purpose of the article is to design and simulate the cantilever biosensor for detection of tuberculosis.Micro cantilever biosensor are designed with cylindrical and rectangular shape with silicon substrate.The cantilever surface is coated with antibodies and when patient sample is placed on it, the antigen-antibody gets binds together.When targeted antigen-antibody binds together stress generated and it forms deflection.The displacement achieved by Cylindrical-shape was 2.06 × 10 6 µm and rectangular-shape was 1.2 × 10 26 µm for 100N load force correlates to 28.228 × 10 -24 kg weight of antigen.From both the model maximum displacement were recorded and considered the rectangular-shape model as the leading model for tuberculosis detection.

MeSH terms

  • Biosensor
  • Cantilever
  • Tuberculosis
  • Materials science
  • Computer science
  • Nanotechnology