自动质谱退卷积定性系统(AMDIS)用于重叠农药峰的GC/MS质谱图退卷积处理
Deconvolution Overlapping Pesticides Gas Chromatography-Mass Spectrometry Using Auto Mass Deconvolution & Identification System(AMDIS)
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摘要: 采用自动质谱退卷积定性系统(AMDIS)分别对4组具有不同重叠程度的农药质谱图进行了退卷积拆分处理,并调用拆分前后的谱图在NIST谱库中进行检索。通过对检索结果的分析,初步研究了AMDIS对不同重叠程度的农药质谱图的拆分能力,同时对拆分后新建质谱图中错误或丢失离子进行了分析。结果发现,AMDIS对于扫描数差距大于1的重叠农药峰有较好的拆分结果,可有效地排除重叠峰质谱图互相干扰,增加对目标农药定性的准确性,但同时也存在漏筛共存离子、灵敏度低等缺点。Abstract: Auto Mass Spectral Deconvolution & Identification System (AMDIS) was used to deconvolute four examples of overlapped pesticides. The shortcoming and advantage of AMDIS were analyzed. The results show there is a good result when the scan number difference of overlapped pesticide exceeded 1. This advantage will help to remove the interference through overlapping components each other, and confirm results more correctly. On the other hand, there are shortcomings such as missing non-characteristic ions and low detect ability.
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