Related Experiment Video
Updated: Jan 21, 2026

Quantitative Metabolomics of Saccharomyces Cerevisiae Using Liquid Chromatography Coupled with Tandem Mass Spectrometry
Published on: January 5, 2021
Denoising scheme based on singular-value decomposition for one-dimensional spectra and its application in precision
X C Chen1, Yu A Litvinov1,2,3, M Wang1
1Institute of Modern Physics, Chinese Academy of Sciences, Lanzhou 730000, China.
Abstract:
This work concerns noise reduction for one-dimensional spectra in the case that the signal is corrupted by an additive white noise. The proposed method starts with mapping the noisy spectrum to a partial circulant matrix. In virtue of singular-value decomposition of the matrix, components belonging to the signal are determined by inspecting the total variations of left singular vectors. Afterwards, a smoothed spectrum is reconstructed from the low-rank approximation of the matrix consisting of the signal components only. The denoising effect of the proposed method is shown to be highly competitive among other existing nonparametric methods, including moving average, wavelet shrinkage, and total variation. Furthermore, its applicable scenarios in precision storage-ring mass spectrometry are demonstrated to be rather diverse and appealing.
More Related Videos
09:43Subtyping of Campylobacter jejuni ssp. doylei Isolates Using Mass Spectrometry-based PhyloProteomics MSPP
Published on: October 30, 2016
09:18Time-resolved ElectroSpray Ionization Hydrogen-deuterium Exchange Mass Spectrometry for Studying Protein Structure and Dynamics
Published on: April 17, 2017
Related Concept Videos
Synthesis and Decomposition Reactions
Tandem Mass Spectrometry
Mass Spectrometry: Overview
Mass Spectrometry of Amines
Mass Spectrometry: Isotope Effect
Singularity Functions for Shear