Radial basis function neural network optimization algorithm based on dynamic inertial weight particle swarm optimization for separating overlapping peaks in ion mobility spectrometry,Rapid Communications in Mass Spectrometry

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Radial basis function neural network optimization algorithm based on dynamic inertial weight particle swarm optimization for separating overlapping peaks in ion mobility spectrometry
Rapid Communications in Mass Spectrometry ( IF 2 ) Pub Date : 2024-01-23 , DOI: 10.1002/rcm.9700
Binxin Shou _{1,

2,

3} , Mingguang Yang ₄ , Zihan Song ₁ , Junhui Li _{2,

3} , Keqi Tang _{2,

3} , Wenqing Gao _{2,

3} , Jiayong Feng ₄ , Jiancheng Yu _{1,

2,

3}

Affiliation

Ion mobility spectrometry (IMS), as a promising analytical tool, has been widely employed in the structural characterization of biomolecules. Nevertheless, the inherent limitation in the structural resolution of IMS frequently results in peak overlap during the analysis of isomers exhibiting comparable structures.

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