STREAMLINED SOFTWARE FOR ROUTINE LC-MS/MS DATA PROCESSING

Significance of the topic

High-resolution LC-MS/MS generates large, complex datasets that can create bottlenecks in routine analytical workflows because data processing and review are time-consuming and require expert judgement. Efficient, auditable, and repeatable software tools are essential to increase throughput, reduce human error, and support regulatory and quality requirements in food analysis and other applied fields. The evaluated platform emphasizes browser-based, task-oriented data review to streamline these processes.

Objectives and study overview

The study aimed to evaluate MS Quan, a component of the waters_connect for Quantitation platform, for routine LC-MS/MS data processing and review. The specific application was the quantitation of free inositol stereoisomers in foods. The evaluation compared results and workflow features of MS Quan against established processing with TargetLynx Software, and demonstrated how MS Quan’s user interfaces and rule-driven automation affect efficiency and data quality.

Methodology

The assessment used real LC-MS/MS datasets for free inositol stereoisomers and processed them in parallel with TargetLynx and MS Quan. Key functional elements examined included dashboard overviews, peak integration review, calibration point review, internal standard handling, exception filters, and the Rule Set criteria used to flag anomalies. Emphasis was placed on workflow ergonomics (single-screen access, side-by-side injection comparisons) and automated checks that support consistent decision-making during batch review.

Instrumentation used

• Analytical platform: LC-MS/MS (generic high-sensitivity tandem mass spectrometry for targeted small-molecule analysis).
• Software environment: waters_connect for Quantitation (browser-based platform) hosting MS Quan for data processing and review.
• Comparator software: TargetLynx Software (Waters) used as the reference processing workflow.

Main results and discussion

The principal finding was that MS Quan produced results identical to those obtained with TargetLynx for the tested samples, demonstrating equivalence in quantitative output for free inositol stereoisomers. Beyond numerical parity, MS Quan introduced workflow features that improved review efficiency and oversight:

• Dashboard and Overview screens provide consolidated access to chromatograms, results, and processing parameters without navigating multiple windows.
• Peak Integration Overview and direct links to individual injection chromatograms enable rapid side-by-side comparisons across an entire batch, accelerating manual verification and re-integration where needed.
• Calibration Overview supports quick inspection of calibration points and direct access to individual point data for targeted troubleshooting.
• Rule Set criteria and exception filters automatically flag outliers and processing anomalies, focusing reviewer attention on problematic injections or calibration points rather than requiring exhaustive manual checks.
• Task-specific layouts (for example, integration review vs calibration review) reduce cognitive load and streamline routine processing tasks.

The combined effect is a reduction in reviewer navigation time, fewer manual errors introduced during repetitive tasks, and an auditable record of processing decisions. The screenshots and tables in the original material illustrate these interfaces and the applied Rule Set criteria; their key function is to demonstrate how software-layout and automated checks can transform throughput and reliability.

Benefits and practical applications

• Improved throughput for high-volume LC-MS/MS laboratories through faster review cycles and reduced need for expert time per batch.
• Enhanced consistency and reproducibility of quantitation by enforcing standardized processing parameters and automated rule-based checks.
• Streamlined troubleshooting via direct access to chromatograms, calibration points, and integration settings from a single overview.
• Better audit readiness: centralized records of processing steps, exception flags, and reviewer actions support compliance and quality assurance.
• Applicable across routine food-analysis workflows and transferable to other targeted LC-MS/MS assays requiring robust batch review.

Future trends and opportunities

Future development and application opportunities for platforms like MS Quan include:

• Deeper integration with laboratory information management systems (LIMS) and sample management to automate data flow from acquisition to reporting.
• Cloud deployment and collaborative review capabilities to enable distributed teams and centralized QC oversight.
• Incorporation of machine-learning or AI-assisted peak detection and anomaly prediction to further reduce manual intervention and improve first-pass acceptance rates.
• Expanded analytics for longitudinal quality control, method drift detection, and proactive maintenance triggers based on processed-data trends.
• Standardized method templates and automated method transfer utilities to accelerate implementation across multiple instruments and laboratories.

Conclusion

MS Quan, as part of the waters_connect for Quantitation platform, provides a browser-based, task-oriented environment for LC-MS/MS data processing that matches established software in quantitative results while offering significant workflow efficiencies. Automated Rule Set checks, exception filters, and consolidated overview screens reduce manual review effort and focus expert attention where it is most needed, making MS Quan a practical solution for routine and high-throughput targeted LC-MS/MS analyses such as free inositol stereoisomer quantitation in foods.

References

Yang J., Harden S., Rainville P. Streamlined LC-MS/MS Data Processing with waters_connect for Quantitation: Application to Free Inositol Analysis in Foods. Application Note 720009238. Waters Corporation; 2026.