数字海洋与水下攻防2025，Vol.8Issue(1)：82-87,6.DOI:10.19838/j.issn.2096-5753.2025.01.011
基于高斯函数拟合的离子迁移谱反卷积算法
Deconvolution Algorithm for Ion Mobility Spectrometry Based on Gaussian Function Fitting
蔡庸军 1周志明 1隋峰1
作者信息
- 1. 中船重工安谱(湖北)仪器有限公司,湖北 宜昌 443003
- 折叠
摘要
Abstract
Ion mobility spectrometry(IMS)is commonly used for trace detection of gases or volatile substances,and has wide applications in marine environmental protection,industrial process control,and national defense security.The key to distinguish substances lies in the difference in retention time of ion mobility spectrometry of different substances.However,due to the complex composition of actual samples,the overlapping peaks of different substances make it difficult to distinguish.Therefore,a deconvolution algorithm based on Gaussian function fitting is proposed,which gradually decomposes the spectrum using Gaussian function.By reducing the standard deviation of each level of Gaussian function,the spectral peaks become sharper and wider,so as to achieve peak separation and improve spectral resolution.关键词
离子迁移谱/算法/反卷积Key words
ion mobility spectrometry/algorithm/deconvolution分类
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蔡庸军,周志明,隋峰..基于高斯函数拟合的离子迁移谱反卷积算法[J].数字海洋与水下攻防,2025,8(1):82-87,6.
