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Transferring Spectra from KnowItAll to NIST Search

Presentations | 2022 | James Little/Mass Spec Interpretation ServicesInstrumentation
Software
Industries
Manufacturer
Wiley

Summary

Importance of the Topic


In modern mass spectrometry workflows, the ability to transfer and integrate spectral data across different software platforms is essential for reliable compound identification, comprehensive library comparison and advanced data interpretation. Bridging proprietary formats maximizes access to diverse spectral databases and streamlines analytical pipelines.

Objectives and Study Overview


This training material presents procedures for moving spectra between KnowItAll and NIST Search to exploit complementary database features and processing tools. Primary goals include:
  • Enabling access to libraries available only in NIST format
  • Utilizing NIST sequential searching and MS Interpreter for substructure correlation
  • Comparing and validating search results across both platforms

Methodology


Spectral exchange is performed within three KnowItAll modules: ProcessIT, SearchIT and MS Expert. Users select a spectrum, invoke the Edit or Analysis menu, and execute the transfer via the Ctrl+Alt+N key sequence. Returning to KnowItAll is facilitated by the “Switch to Caller” button in NIST Search. Reverse transfer leverages NIST MSP ASCII export and KnowItAll’s File/Open Spectrum functionality for full bidirectional interoperability.

Instrumentation


  • KnowItAll ProcessIT software
  • KnowItAll SearchIT software
  • KnowItAll MS Expert software
  • NIST Search with MS Interpreter module

Main Results and Discussion


The workflow demonstrated consistent and user-friendly bidirectional data exchange. The “Switch to Caller” feature preserves context when moving between applications. Exporting and editing MSP text files allows manual curation and batch processing. Comparative searches reveal complementary database strengths and enhance confidence in compound identification.

Benefits and Practical Applications


  • Expanded spectral coverage by combining KnowItAll and NIST libraries
  • Improved structural elucidation using substructure correlations from NIST MS Interpreter
  • Seamless integration into QA/QC, research and industrial analytical workflows

Future Trends and Applications


Emerging directions include the development of standardized open data exchange formats, cloud-based spectral repositories and AI-driven annotation tools that further automate cross-platform integration. Vendor-neutral frameworks will foster broader data sharing and collaborative research.

Conclusion


This work confirms that transferring mass spectra between KnowItAll and NIST Search is efficient and reliable. The interoperability achieved enhances identification accuracy, extends database access and supports advanced mass spectrometric analyses.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

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