Skip to main content
SpringerLink
Log in

Detection of tuberculosis using MEMS

  • Technical Paper
  • Published:
Microsystem Technologies Aims and scope Submit manuscript

Abstract

Tuberculosis is a contagious disease caused by the bacteria, Mycobacterium Tuberculosis. Early detection of TB is vital to increase the chances of cure. In this paper, a MEMS cantilever based biosensor is designed and analyzed for the detection of TB antigen. The surface of the cantilever is coated with the TB antibody (ESAT-6). Since antibodies are disease specific, the presence of TB antigen in given patient sample is identified through the deflection of the cantilever beam. The analysis of the structure was performed by varying the length and width of the cantilever, material of the cantilever and shapes of the cantilever in order to obtain the maximum amount of deflection and sensitivity. The various cantilever types were simulated and the results were used to analyze the performance based on material and design. Stress concentrating region (SCR) designs have been included in the simulations so as to analyze the cantilever performances with these additional features. Also, in this work, the materials analyzed were aluminium, gold, platinum, polyimide and polysilicon. This method of detection was found to be simpler, less time consuming and more cost effective as compared to traditional TB detection methods like ELISA and IGRAs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16
Fig. 17
Fig. 18
Fig. 19
Fig. 20
Fig. 21
Fig. 22

Similar content being viewed by others

References

  • Chithra SP, Prince AA (2013) RF MEMS-based biosensor for pathogenic bacteria detection. BioNanoSci. 3:321–328

    Article  Google Scholar 

  • Dhakane S, Patil WV (2014) Piezo-resistive method for tuberculosis detection using microcantilever biosensor. Microsyst Technol 20(3):457–462

    Article  Google Scholar 

  • Fritz J (2008) Cantilever biosensors. Analyst 133(7):855–863

    Article  Google Scholar 

  • Ghosh Dastider S, Abdullah A, Jasim I, Yuksek NS, Dweik M, Almasri M (2018) Low concentration E. coli O157:H7 bacteria sensing using microfluidic MEMS biosensor. Rev Sci Instrum 89:125009

    Article  Google Scholar 

  • Haag A, Nagai Y, Lennox RB et al (2015) Characterization of a gold coated cantilever surface for biosensing applications. EPJ Techn Instrum 2:1

    Article  Google Scholar 

  • Karayil N, Suja KJ (2017) Performance analysis of MEMS piezoresistive cantilever based sensor for tuberculosis detection using coventorware FEA. Int J Mech Eng Robot Res 6:301–304

    Article  Google Scholar 

  • McGovern JP, Shih WY, Shih WH (2007) In situ detection of Bacillus anthracis spores using fully submersible, self-exciting, self-sensing PMN-PT/Sn piezoelectric microcantilevers. Analyst 132(8):777–783

    Article  Google Scholar 

  • Mondal S, Arya D, Ansari MZ (2018) High sensitive MEMS piezoresistive microcantilever sensor. Proc Comput Sci 133:793–798

    Article  Google Scholar 

  • Murthy KSN, Prasad GRK, Saikiran NLNV, Manoj TVS (2016) Design and simulation of MEMS biosensor for the detection of tuberculosis. Indian J Sci Technol 9:31

    Google Scholar 

  • Poulsen C, Panjikar S, Holton SJ, Wilmanns M, Song YH (2014) WXG100 protein superfamily consists of three subfamilies and exhibits an α-helical C-terminal conserved residue pattern. PLoS ONE 9(2):89313

    Article  Google Scholar 

  • Rahul J, Kumar R (2019) Micro-cantilevered MEMS biosensor for detection of malaria protozoan parasites. J Comput Appl Mech 50(1):99–107

    MathSciNet  Google Scholar 

  • Saeed MA, Khan SM, Ahmed N, Khan MU, Rehman A (2016) Design and analysis of capacitance based Bio-MEMS cantilever sensor for tuberculosis detection. In: 2016 international conference on intelligent systems engineering (ICISE), pp 175–180. IEEE

  • Sajan P (2017) Modeling and simulation of micro cantilever based tuberculosis detection sensor (5th ed., Rep.). Int J Electron Electric Comput Syst 6:417–420

    Google Scholar 

  • Serene IM, Rajasekharababu M, Alex ZC (2018) A study and analysis of microcantilever materials for disease detection. Mater Today Proc 5.1:1219–1225

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of E&C, M.S. Ramaiah Institute of Technology, Bangalore, India

    S. Lakshmi, Alita Almeida, Anshuman Bagchi & Mary Joseph

Authors
  1. S. Lakshmi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Alita Almeida
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Anshuman Bagchi
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Mary Joseph
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to S. Lakshmi.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Lakshmi, S., Almeida, A., Bagchi, A. et al. Detection of tuberculosis using MEMS. Microsyst Technol 27, 87–95 (2021). https://doi.org/10.1007/s00542-020-04918-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00542-020-04918-2

Search

Navigation