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Streamlined LC-MS/MS Data Processing with waters_connect™ for Quantitation: Application to Free Inositol Analysis in Foods

Applications | 2026 | WatersInstrumentation
Software, LC/MS, LC/MS/MS, LC/QQQ
Industries
Food & Agriculture
Manufacturer
Waters

Summary

Significance of the Topic


Liquid chromatography–tandem mass spectrometry (LC-MS/MS) has become indispensable in food analysis due to its high sensitivity, selectivity, specificity, accuracy, and throughput. However, the growing volume and complexity of data pose challenges for routine laboratories. The adoption of streamlined software workflows is critical to overcome data-processing bottlenecks and ensure reliable, high-quality results in regulatory, quality-control, and research settings.

Objectives and Study Overview


This application note demonstrates how the MS Quan browser-based application within the waters_connect™ for Quantitation platform accelerates and simplifies LC-MS/MS data processing and review. Using a previously established method for free inositol stereoisomer analysis in foods, the study compares results obtained with MS Quan to those generated by traditional software, evaluating speed, accuracy, and review efficiency.

Methodology and Instrumentation


The free inositol analysis was performed on an Arc Premier™ System coupled to a Xevo™ TQ-S cronos triple quadrupole mass spectrometer, employing an ACQUITY™ UPLC™ BEH™ Amide Column. Data acquisition and initial control were managed by MassLynx™ 4.3 Software. Raw data and processing methods were uploaded to waters_connect for Quantitation, where MS Quan executed data import, peak integration, calibration, and reporting. Key processing parameters (retention time windows, peak height/area thresholds) were defined, and a customizable Rule Set flagged any out-of-range results automatically.

Main Results and Discussion


MS Quan’s core features include batch-level overviews, task-oriented screen layouts, and exception-focused reviews:
  • Batch-level overviews allow side-by-side inspection of all injections—calibrants, QCs, blanks, internal standards, and unknowns—on a single screen.
  • Task-oriented workflows present only the relevant chromatograms, results, and method parameters for peak integration, calibration, or internal standard assessment.
  • Exception filters driven by the Rule Set automatically highlight data points outside predefined criteria for immediate attention.
Comparison with TargetLynx™ showed identical quantitation results (relative differences <0.17 %), with no statistically significant differences (paired t-test, α=0.05). Calibration equations were reproduced exactly, confirming the reliability of MS Quan processing.

Benefits and Practical Applications


MS Quan delivers several advantages for routine and high-throughput LC-MS/MS analysis:
  • Rapid batch review reduces analyst time by consolidating results on a single screen.
  • Single-click access to individual injections eliminates navigation between multiple windows.
  • Automated exception flagging ensures thorough quality checks and minimizes processing errors.

Future Trends and Potential Applications


As data volumes and regulatory demands grow, integration of cloud-based platforms, artificial-intelligence-driven peak detection, and expanded multi-analyte libraries will further enhance throughput and robustness. Collaborative review and audit trails within browser-based environments will support compliance and cross-laboratory standardization.

Conclusion


MS Quan within the waters_connect for Quantitation platform streamlines LC-MS/MS data processing by unifying batch overview, task-specific workflows, and exception management. The application delivers accurate, reproducible results equivalent to established software while dramatically improving review efficiency and throughput.

Reference


1. Yang J.; Rainville P. Streamline LC-MS/MS Data Processing for Food Analysis with MS Quan. Waters Application Note 720000759, 2022
2. Yang J.; Harden S.; Rainville P. HILIC-MS/MS Analysis of Free Inositol Stereoisomers in Foods. Waters Application Note 720009200, 2026

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