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Monte Carlo Wavelet Analysis for Objective Peak Detection in SRM LC-MS/MS Analysis

2025-12-22

Abstract excerpt

Detection of low-level analytes in complex chromatographic-mass spectrometric data requires a criterion to discern apparent peaks from background. Conventional signal-to-noise criteria rely on simple, constant-variance noise models and overlook spurious peaks generated by chemical noise and co-eluting interferences. We introduce a wavelet-based Monte Carlo technique for determining the statistical significance of...

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Literature Corpus work
a4e14f8f-027e-564a-9f5a-b937c738ea7b
DOI
10.64898/2025.12.18.694988
Open publication

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Monte Carlo Wavelet Analysis for Objective Peak Detection in SRM LC-MS/MS AnalysisDOI 10.64898/2025.12.18.694988
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