Evaluation of early detection of mucorales by rapid one step off- plate protein extraction using maldi -tof ms

Kamlesh  Rajpal; Anita Anita; Kumar Saurabh; Namrata Kumari; Shailesh Kumar

doi:10.53730/ijhs.v6nS5.8917

Authors

Kamlesh Rajpal
krajpaldiagnostic@gmail.com
Assistant Professor, Department of Microbiology, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India
Anita Senior Resident, Department of Microbiology, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India
Kumar Saurabh Assistant Professor, Department of Microbiology, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India
Namrata Kumari Professor and Head of the Department of Microbiology, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India
Shailesh Kumar Professor, Department of Microbiology, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India

Keywords:

Mucorales, Rhizopus, spectrometry, mucormycosis

Abstract

Aim: To validate a simple one step method of protein extraction of moulds for routine early detection of fungi using automated instrument like MALDI- TOF MS. Methodology: A total of 123 clinical mould isolated were tested in Department of Microbiology, Indira Gandhi Institute of Medical Sciences, Patna, Bihar, India during period of 3 months (August 2021-October 2021) with the routine Laboratory and culture investigations. Out of these specimens, approximately 50 specimens were suspected of Mucorales based on their growth timing, colony morphology, history of patient, character of tissue or sample, and corresponding KOH mount findings having hyphae in tissues or samples were included in study. Samples were inoculated on routine fungal culture media like SDA. The plates were examined at earliest for appearance of any growth and the process of protein extraction was done to be analysed in MALDI- TOF MS and compared with KOH preparation findings of sample. The culture were again incubated further for appearance of mature colony and later on isolates were identified by LPCB mount examination. Results: Around 70% growth of mucorales could be identified by this method and 30% could not be identified.

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