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Maldi biotyper rtc software 3

Manufactured by Bruker

The MALDI Biotyper RTC software 3.0 is a microbial identification system developed by Bruker. It is designed to perform rapid and accurate identification of microorganisms through mass spectrometry analysis.

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2 protocols using maldi biotyper rtc software 3

1

Identification of Candida albicans Isolates

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Colombian clinical isolates were initially typed using manual microbiological systems (API32C and germ tube) and those classified as being C. albicans were further confirmed by using MALDI Biotyper RTC software 3.0 (Bruker); the identification spectrum was obtained in duplicate and compared to the MSP reference spectrum, simultaneously selected from the BDAL software database (Bruker) and the CBS–KNAW library. The classification results obtained by MALDI-TOF-MS (spectrum identification cf MSP) led to assigning a score in line with the equipment’s requirements and classified as follows: firm identification of genus and specie (≥2.0), reliable identification of genus (1.7–2.0) and non-reproducible identification (≤1.7) [15 (link)].
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2

MALDI-TOF MS Bacterial Identification Protocol

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MALDI-TOF MS measurements were performed with a 60-Hz nitrogen laser and the spectra were analyzed over a mass range of 2–20 kDa. The strains from both reference and clinical sets were measured and identified by MALDI Biotyper RTC software 3.0 (Bruker Daltonik GmbH). Each series of measurements was preceded by calibration with a bacterial test standard (Bruker Daltonik GmbH). All specimens were processed as per manufacturer’s guidelines. Each sample was tested in duplicate to ensure reproducibility of spectra. Identification scores were interpreted according to the manufacturer’s recommended criteria: a score of >2.0 indicated species-level identification, a score of 1.70–1.999 indicated identification at the genus level, and a score of <1.70 was interpreted as “not reliable identification.” The identification of the tested strain corresponds to the species of the reference strain with the best match in the database. When MALDI-TOF MS and phenotypic identifications agreed, no further analyses were performed. Discrepancies at genus or species level were resolved with a molecular technique based on sequence analysis of 16S rRNA, which is considered the “gold standard” identification method.9 (link)
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