Bruker launches microbial ID kit, expands reference libraries
Bruker Corporation (NASDAQ: BRKR) announced enhancements to its microbial identification and outbreak management systems at ESCMID Global 2026. The company launched the MBT Easy T Kit, a consumables package designed to standardize sample transfer to MALDI target plates for up to 2,000 samples.
The company expanded its MALDI Biotyper reference libraries to more than 5,300 species, adding over 600 new species across bacteria, yeasts, filamentous fungi, and mycobacteria. The filamentous fungi workflow received approximately 30% stronger species coverage.
Bruker introduced early access to a cloud-based MALDI identification solution for select laboratories, enabling identification using specialist libraries curated by domain experts. Initial libraries include yeast collections, anaerobic bacteria libraries, and mosquito libraries for malaria vector research.
The company is conducting clinical studies in the United States to support identification claims for mycobacteria and filamentous fungi, with FDA submissions planned for 2026. Clinical validation studies are underway for automated sample preparation workflows, including the MBT PrepMatic system for colony picking and the MBT SepsiMatic system for positive blood cultures.
For outbreak management, Bruker enhanced its IR Biotyper system with IR Tracker for hospital-acquired infection surveillance and new classifiers for Salmonella Typhi, Shiga toxin-producing E. coli, and Shigella species detection.
The company released a new version of its MBioSEQ Ridom Typer software featuring TB-Profiler antimicrobial resistance determination and GAMBIT bacterial species identification for whole genome sequencing analysis.
Bruker announced the integration of Molzym following its acquisition in late 2025, adding culture-independent pathogen diagnostics capabilities including the MolYsis host-DNA depletion technology for microbial DNA detection in blood samples.
The company is also conducting exploratory research on AI-driven antibiotic resistance prediction for Staphylococcus aureus based on MALDI Biotyper spectral data.
