Kushal Gohil1 and John Kaundinya2*
1GeNei Laboratories, Pvt. Ltd., SRS College Road, Peenya Bangalore, India 2Rivaara, Inc., Carlsbad, CA, USA
1GeNei Laboratories, Pvt. Ltd., SRS College Road, Peenya Bangalore, India
2Rivaara, Inc., Carlsbad, CA, USA
*Corresponding Author: John Kaundinya, Rivaara, Inc., Carlsbad, CA, USA.
Received: May 15, 2023; Published: June 07, 2023
Precise bacterial identification depends on the reliability and efficiency of the technique being utilized. Scientists have incessantly adapted every advancement for better, quicker, and meticulous bacterial identification. MALDI-TOF MS is a microbial identification technique based on the soft ionization principle coupled with mass spectrometer. It became popular in this decade for its speed, uniformity, cost-effectiveness, ease of sample preparation, and accuracy. MALDI-TOF MS involves using a matrix to mix and bind the sample, which absorbs laser energy, causing fast heating, vaporization, and the ionization of the analytes; then the ions are distinguished based on the time they take to get to the detector, based on the principle that all ions with the same charge are given equal kinetic energy. Due to many diverse and extensive features of this exclusive detection method, this study principally aims to authenticate 38 bacterial strains using MALDI-TOF Autof MS1000 system. These strains included gram positive bacteria namely Enterococcus faecalis, Staphylococcus aureus, Listeria monocytogenes, Clostridioides difficile and gram-negative bacteria namely, Escherichia coli, Klebsiella pneumoniae, Enterobacter cloacae, Pseudomonas aeruginosa, Acinetobacter baumannii, and Hemophilus influenzae. The bacterial strains were accurately identified with a score value of more than 9.2 for all the strains, indicating high confidence in identification up to species level.
Keywords: Matrix Assisted Laser Desorption/Ionization (MALDI) Mass Spectrometry (MS); Autobio MALDI TOF MS 1000; Rapid Bacterial Identification; Accurate Bacterial Detection; Peptide Mass Fingerprint (PMF)
Citation: Kushal Gohil and John Kaundinya. “Utility of MALDI TOF AUTOF MS 1000 System for Identification and Authentication of Bacterial Strains using Standard ATCC Cultures". Acta Scientific Microbiology 6.7 (2023): 08-14.
Copyright: © 2023 Kushal Gohil and John Kaundinya. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.