Seamless Transfer of Bruker Spectra and Methods to an Antaris FT-NIR analyzer

Significance of the topic

The note addresses a common practical barrier in near-infrared (NIR) production analytics: perceived lock-in to a specific instrument or manufacturer because chemometric models and spectral libraries are thought to be non-transferable. Demonstrating reliable transfer of previously acquired spectra and methods reduces downtime, avoids costly re-measurement of training sets, and facilitates instrument upgrades while preserving established quality-control workflows.

Objectives and overview of the study

The objective was to demonstrate that spectral files and chemometric methods originally developed on a Bruker MATRIX-F FT-NIR instrument can be imported, used to build models, and deployed successfully on Thermo Scientific Antaris FT-NIR analyzers. The study evaluates the practicality and fidelity of transferring about 150 raw-material methods (~4,000 Bruker spectra) into Thermo Scientific software and hardware and validates the approach with routine sample testing.

Methodology

• Data import: Bruker-format spectra (and other common formats) were loaded directly into Thermo Scientific TQ Analyst software, which natively supports multiple spectral file types (Bruker, JCAMP, PCIR, CSV, PerkinElmer, GRAMS/32, FOSS, etc.).
• Chemometric approach: Methods were developed in TQ Analyst using the Similarity Match algorithm with Standard Normal Variate (SNV) as the pathlength-type correction. Spectra were used raw (no smoothing, no derivatives, no baseline correction) over the full region 9000–4000 cm−1.
• Deployment and reporting: RESULT software was configured with workflows to run analyses and report outcomes through a one-click operator interface, enabling rapid testing of incoming materials.
• Validation: The transferred models were validated by measuring new incoming samples on an Antaris instrument equipped with a SabIR probe and comparing match values to acceptance criteria (match ≥95 required for acceptance).
• Effort: Loading roughly 4,000 spectra and creating ~150 chemometric workflows required about three workdays.

Used instrumentation

• Source instrument: Bruker MATRIX-F FT-NIR (spectra and existing match-based methods).
• Target instrument: Thermo Scientific Antaris II FT-NIR analyzer with SabIR probe (used for validation measurements).
• Software: TQ Analyst (chemometric model building and spectral import) and RESULT (instrument control, workflow execution and reporting).

Main results and discussion

• Successful import and use of Bruker-formatted spectra in TQ Analyst to build Similarity Match models that preserved expected performance when run on Antaris hardware.
• Example validation: A vitamin B12 sample measured on the Antaris produced a match value of 99.91, well above the acceptance threshold (95), demonstrating excellent agreement between the original Bruker-derived training set and Antaris-acquired spectra.
• Other tested materials showed comparable performance, indicating that transfer was broadly successful across a large set (~150) of raw-material methods.
• Practical outcome: The Antaris platform can be integrated into existing QC processes without re-collecting extensive historical training sets, substantially lowering the barrier to upgrading or replacing NIR instrumentation.

Benefits and practical applications of the method

• Preservation of historical spectral libraries and chemometric methods, saving significant time and resources that would otherwise be spent re-measuring standards.
• Rapid deployment: the ability to import many common spectral formats supports faster migration to new instruments and streamlines validation.
• Operator usability: RESULT workflows allow simplified operation (one-click analysis), favorable in production and incoming-material inspection contexts.
• Flexibility: native support for multiple file formats facilitates interoperability in multi-vendor environments and enables centralized model management.

Future trends and opportunities

• Standardization of spectral data formats and metadata will further ease method transfer between vendors and labs.
• Advanced transfer approaches — such as instrument standardization, transfer set methods, domain adaptation, or algorithmic correction (e.g., piecewise direct standardization, calibration transfer techniques) — can increase robustness when instruments differ more in optical design.
• Cloud-based repositories and model-management platforms could enable safer sharing, versioning, and validation of chemometric models across sites and instruments.
• Machine learning and enhanced preprocessing workflows could improve match reliability for complex matrices, reduce sensitivity to instrument-specific artifacts, and automate calibration maintenance.
• Continued development of user-friendly workflow and validation tools will support regulated environments where traceability and auditability of transferred models are required.

Conclusion

The technical demonstration shows that Antaris FT-NIR analyzers, together with TQ Analyst and RESULT software, can successfully ingest Bruker-format spectra and produce chemometric methods that perform equivalently on Antaris hardware. This capability mitigates a major obstacle to instrument migration by preserving historical training datasets and enabling straightforward, rapid deployment of validated QC workflows on new instruments.

References

• Strother T. Seamless Transfer of Bruker Spectra and Methods to an Antaris FT-NIR analyzer. Thermo Fisher Scientific Technical Note TN51796; 2009.