Microbial Diagnostics Techniques

Book Title: Molecular Diagnostics and Genomic Medicine: Transforming Healthcare with AI

Editors: Dr. Alok Kumar Srivastav, Dr. Priyanka Das, Dr. Babasaheb Ghodke, and Dr. Nikita Pathak

Chapter: 8

DOI: https://doi.org/10.59646/978-81-69297-97-4_8

Authors: Priyanka Das, Alok Kumar Srivastav, Babasaheb Ghodke, Nikita Pathak

Abstract

Microbial diagnostic techniques have evolved from traditional culture-based methods to advanced molecular, immunological, and automated approaches that enable rapid and accurate pathogen identification. The chapter explores automation in microbiology, including systems such as MALDI-TOF and integrated laboratory platforms that enhance efficiency, standardization, and diagnostic precision. Rapid diagnostic methods, particularly PCR, multiplex assays, and isothermal amplification techniques, are highlighted for their ability to reduce turnaround time and improve clinical decision-making. The purification and standardization of microbial antigens and antibodies are examined as critical components for reliable immunodiagnostic performance. Various immunodiagnostic assays, including ELISA, lateral flow tests, and chemiluminescent methods, are discussed for their sensitivity and versatility. Additionally, immunofluorescence techniques provide visual and quantitative insights into pathogen detection. Collectively, these integrated technologies improve diagnostic accuracy, support antimicrobial stewardship, and enhance patient outcomes.

Keywords: Microbial diagnostics, PCR, Immunodiagnostics, Automation, Antigen purification, Immunofluorescence.

References

  1. Brendish, N. J., Malachira, A. K., & Clark, T. W. (2017). Molecular point-of-care testing for respiratory viruses. Clinical Microbiology and Infection, 23(7), 456–461. https://doi.org/10.1016/j.cmi.2017.03.008
  2. Srivastav, A. K., Das, P., & Srivastava, A. K. (2024). Biotech and IoT: An Introduction Using Cloud-Driven Labs. Apress, Berkeley, CA.
    https://doi.org/10.1007/979-8-8688-0527-1
  3. Srivastav, D.A.K., Das, D.P. (2024). Emerging Technologies in Healthcare 4.0: AI and IoT Solutions. Apress, Berkeley, CA.
    https://doi.org/10.1007/979-8-8688-1014-5
  4. Clark, A. E., Kaleta, E. J., Arora, A., & Wolk, D. M. (2013). Matrix-assisted laser desorption ionization–time of flight mass spectrometry. Clinical Microbiology Reviews, 26(3), 547–603. https://doi.org/10.1128/CMR.00072-12
  5. Srivastav, A.K., & Das, P. (2025). Artificial Intelligence in the Production of Biotherapeutics: Principles, Practices and Standards (1st ed.). CRC Press. https://doi.org/10.1201/9781003624592
  6. Srivastav, D.A.K., Das, D.P. (2025). Nanobiotechnology: AI and IoT Applications and Emerging Implications. Apress, Berkeley, CA.
    https://doi.org/10.1007/979-8-8688-1775-5
  7. Laxminarayan, R., Duse, A., Wattal, C., et al. (2013). Antibiotic resistance—the need for global solutions. The Lancet Infectious Diseases, 13(12), 1057–1098. https://doi.org/10.1016/S1473-3099(13)70318-9
  8. Srivastav, A.K., & Das, P. (2025). Qualification and Process Validation. In: Artificial Intelligence in the Production of Biotherapeutics: Principles, Practices and Standards (1st ed.) (pp 222-238). CRC Press. https://doi.org/10.1201/9781003624592 -8
  9. Srivastav, D.A.K., Das, D.P. (2024). Future Perspectives and Challenges. In Emerging Technologies in Healthcare 4.0: AI and IoT Solutions (pp. 307-318). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1014-5_10
  10. Srivastav, D.A.K., Das, D.P. (2024). Internet of Things in Healthcare. In Emerging Technologies in Healthcare 4.0: AI and IoT Solutions (pp. 59-113). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1014-5_3
  11. Niemz, A., Ferguson, T. M., & Boyle, D. S. (2011). Point-of-care nucleic acid testing. Trends in Biotechnology, 29(5), 240–250.
    https://doi.org/10.1016/j.tibtech.2011.01.007
  12. Srivastav, D.A.K., Das, D.P. (2024). AI and IoT in Disease Diagnosis and Management. In Emerging Technologies in Healthcare 4.0: AI and IoT Solutions (pp. 253-267). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1014-5_7
  13. Srivastav, D.A.K., Das, D.P. (2024). Introduction to Healthcare 4.0. In Emerging Technologies in Healthcare 4.0: AI and IoT Solutions (pp. 1-22). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1014-5_1
  14. Srivastav, D.A.K., Das, D.P. (2024). AI and IoT in Healthcare Operations Management. In Emerging Technologies in Healthcare 4.0: AI and IoT Solutions (pp. 269-291). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1014-5_8
  15. Roda, A., Michelini, E., Zangheri, M., et al. (2016). Smartphone-based biosensors. TrAC Trends in Analytical Chemistry, 79, 317–325.
    https://doi.org/10.1016/j.trac.2015.12.019
  16. Srivastav, D.A.K., Das, D.P. (2025). Nanotechnology in Medicine. In: Nanobiotechnology: AI and IoT Applications and Emerging Implications (pp 303-311). Apress, Berkeley, CA. https://doi.org/10.1007/979-8-8688-1775-5_14