Page 93 - FoodFocusThailand No.199 October 2022
P. 93

STRONG QC & QA




                     Yagel, 2021). Moreover, further database updates and
                     optimization of the workflows and procedures can increase
                     the accuracy of the method. It has been reported that
                     identifying  some  species  within  the  family  of
                     Enterobacteriaceae  by  using  MALDI-TOF  MS  is  more
                     accurate than 16S rRNA gene sequence analysis which is
                     a highly reputable species identification method.
                        Functions  and  Workflow  MALDI-TOF  MS  is  an
                     analyzer based on mass spectroscopy. The machine is
                     comprised of three parts, including (1) an ionizer or ion
                     source to generate the ion by using a technique called MALDI
                     (Matrix-Assisted Laser Desorption/Ionization), (2) a mass
                     analyzer, and (3) a detector. For routine identification of
                     MALDI-TOF MS workflows, a single colony is placed on the
                     target plate, air-dried, and coated with a specific matrix which
                     co-crystallizes with the bacterial sample. The target plate is
                     then  inserted  into  the  machine,  where  a  vacuum  is
                     established. Subsequently, a laser beam is fired onto the
                     sample-matrix  crystals,  evaporating  and  ionizing  the
                     analytes  in  the  sample. The  ions  are  accelerated  in
                     electrostatic potential, depending on the mass and the
                     charge of the ionized peptides. After acceleration, the ions
                     enter  a  vacuum  flight  tube  and  are  further  separated
                     according to their m/z ratio and then detected at the end of
                     the tube. The m/z ratio of an ion is determined by measuring
                     the time. According to this time of flight (TOF) information,
                     a spectrum of m/z values is generated and is a unique
                     spectrum. These characteristic spectra are called Peptide
                     Mass Fingerprints (PMF). The PMF of the unknown sample
                     is then compared to a database containing a set of the PMF
                     from well-characterized microbial samples.
                        The matrix is an energy-absorbent organic compound
                     that co-crystalizes with the microbial sample. Examples of
                     matrices  are  alpha-4-cyano-4-hydroxycinnamic  acid
                     (HCCA), and 5-chloro-2-mercaptobenzothiazole. They are
                     suitable for identifying Gram-negative and Gram-positive
                     bacteria, respectively.
                        Species identification using MALDI-TOF MS is a highly
                     rapid technique. The average time from picking up the single
                     colony  from  the  cultured  media  to  getting  the  PMF  is
                     approximately 10-20 seconds. After that, it takes about
                     15-30 seconds to compare the unknown PMF to a set of
                     PMF in a database and get the result of species identification
                     in less than 5 minutes. It is cost-effectiveness 7-10 times
                     lower  than  the  conventional  method.  Furthermore,  it
                     remarkably reduces the amount of microbiological media;
                     thus, it is environmentally friendly.
                        Application of MALDI-TOF MS in food industry and
                     food microbiological research  Currently, MALDI-TOF
                     MS  is  widely  applied  for  rapid  routine  diagnostics  in
                     laboratory hospitals and species identification for laboratories
                     in the food industry. It can potentially be used in the genus
                     and species identification of microorganisms, including

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