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MALDI BIOTYPER CA (MBT-CA) SYSTEM

BRUKER DALTONICS, INC • Microbiology • 11/21/2013

510(k)IEC 62304 Class B
FDA Summary PDF

Device Purpose

The Bruker Daltonics MBT-CA System is an in vitro diagnostic tool employing MALDI-TOF mass spectrometry to identify Gram-negative bacteria cultured from human specimens by analyzing their unique ribosomal protein profiles against a reference spectral library. Extensive performance studies demonstrate its high accuracy, precision, and specificity, with robust identification achieved through either direct sample transfer or an optional extraction step, ensuring reliable diagnostic support.

Summary

The Bruker Daltonics MBT-CA System is a qualitative in vitro diagnostic mass spectrometer designed for identifying Gram-negative bacterial colonies cultured from human specimens. It utilizes Matrix-Assisted Laser Desorption/Ionization - Time of Flight (MALDI-TOF) mass spectrometry to generate unique protein profiles, primarily of ribosomal proteins, from microorganisms. The process involves transferring an isolated colony directly to a target plate (Direct Transfer method) or, if initial results are inconclusive, performing an ethanol/formic acid extraction. The sample is overlaid with an α-Cyano-4-hydroxycinnamic acid (HCCA) matrix, which extracts proteins and facilitates ionization when irradiated by a laser. The system measures the time-of-flight of these ions to determine their mass-to-charge ratios, creating a characteristic mass spectrum. This spectrum is then compared against a reference library, and a biostatistical algorithm generates a log(score) indicating the confidence of identification, with scores ≥2.00 considered high confidence. Extensive performance data supports the MBT-CA System's reliability. Method comparison studies involving 2263 isolates showed high accuracy, with 96.07% identified with high confidence and 98.19% correctly identified to the species or group level when combining high and low confidence results; fresh isolates showed 98.0% high discrimination. The system demonstrated excellent precision and reproducibility across different operators, instruments, sites, and reagent lots, with a 100% correct identification rate for blinded test organisms in reproducibility studies. Specificity studies confirmed that organisms not in its database yield 'No Identification' results, preventing false positives. The system also showed robustness against mixed cultures (though single colonies are recommended), stability with various approved culture media, and long-term stability of samples on target plates and reagents like the Bacterial Test Standard (BTS) and HCCA matrix. An extraction procedure was required for only 6.9% of samples in the method comparison study.

AI Regulatory Concerns

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Keywords

MALDI-TOFMass SpectrometryGram-negative bacteriaMicrobial IdentificationProtein FingerprintingRibosomal ProteinsLog(score)Reference DatabaseDirect Transfer (DT)Extraction Procedure (Ext)

Device Metadata

Submission Number
K130831
Company
BRUKER DALTONICS, INC
Panel
Microbiology
Product Code
N/A
Data Type
Signals
Clinical Function
Assessment
AI Function
Analysis
AI Subclass
quantification/feature localization

Relevant Clinical Questions

  • Q1. How does the system's performance, particularly the log(score) distribution and need for extraction, vary across the spectrum of claimed Gram-negative species, especially for those with known high phenotypic or proteomic variability?; What is the quantitative impact of different approved culture media (e.g., MacConkey vs. Chocolate agar) on the generated mass spectra quality and resulting log(scores), and does this correlate with the need for the extraction protocol?; Considering the 6.9% extraction rate, what are the most common organism- or sample-related factors leading to initial low-confidence scores (<2.0) with the Direct Transfer method, and how does this compare to typical rates with similar MALDI-TOF systems?; How frequently is the MBT-CA reference database updated to include new Gram-negative strains or species, and what is the validation process for these updates to ensure continued specificity and accuracy?; What is the typical turnaround time difference, including hands-on and instrument time, between a successful Direct Transfer identification and one requiring the full Extraction procedure, and how does this affect laboratory throughput for challenging isolates?

Risk Classification

ESL Analysis
FDA Device ClassII

FDA Class II via 510(k) pathway; IEC 62304 Class B (software safety classification); Authorized before §524B enforcement

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Cybersecurity Evidence

Powered by SBOMator™

Based on AI-generated device summaries, not the full FDA submission. Items not detected here may still be present in the complete submission package.

Cyber Score5/100
SBOM Evidence⚠ Not mentioned in summary
Cyber Risk Assessment⚠ Not mentioned in summary
Postmarket Plan⚠ Not mentioned in summary
§524B ApplicableNo

Supply Chain BOM Evidence

Based on the CycloneDX / OWASP ECMA-424 xBOM ecosystem. Detection is from the AI-generated summary.

SBOMSoftware Bill of Materials
- Not detected
ML-BOMMachine Learning Bill of Materials(algorithm)
✓ Detected
SaaSBOMSoftware-as-a-Service Bill of Materials
- Not detected
HBOMHardware Bill of Materials
- Not detected
CBOMCryptography Bill of Materials
- Not detected
VDR/VEXVulnerability Disclosure Report / Vulnerability Exploitability eXchange
- Not detected
OBOMOperations Bill of Materials
- Not detected

Analysis:

• Analysis is based on the AI-generated device summary, not the full FDA submission package. Click "Analyze Full FDA PDF" below to scan the actual submission document.

• Evidence of ML-BOM detected in AI-generated device summary.

• This device was authorized before §524B took effect. Cybersecurity evidence requirements were less prescriptive at the time.

• Postmarket cybersecurity monitoring plan not clearly documented in AI-generated device summary.

• Not detected in AI-generated device summary: SBOM, SaaSBOM, HBOM, CBOM, VDR/VEX, OBOM. These may be present in the full FDA submission.

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MALDI BIOTYPER CA (MBT-CA) SYSTEM - BRUKER DALTONICS, INC | ESL FDA AI Device Intelligence