中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Neutral losses: A type of important variables in prediction of branching degree for acyclic alkenes from mass spectra

文献类型:期刊论文

作者Zhang, Liangxiao1,2; Fan, Wei1; Cao, Dongsheng1; Zeng, Maomao3; Xiao, Hongbin2; Liang, Yizeng1
刊名analytica chimica acta
出版日期2012-03-30
卷号720页码:16-21
关键词Dissimilarity analysis Acyclic alkene Neutral loss Mass spectra Branching degree predictor
产权排序2,1
通讯作者yizengliang
英文摘要neutral losses are a type of important variables in mass spectral interpretation. since it is hard to calculate or extract neutral losses from mass spectra, they are usually discarded. in this study, dissimilarity analysis was employed to extract mass spectral characteristics for predicting branching degree of acyclic alkenes. the relationships between branching degree and neutral loss were constructed under direction of experimental observation and mass spectral fragmentations. a branching degree predictor of acyclic alkenes was subsequently built based on the above relationships. after tested by the experimental data in previous studies, the predictor could correctly provide the branching degree from abundant ions of mass spectra. more importantly, this predictor was able to point out which acyclic alkenes could be predicted correctly or not. (c) 2012 published by elsevier b.v.
WOS标题词science & technology ; physical sciences
学科主题物理化学
类目[WOS]chemistry, analytical
研究领域[WOS]chemistry
关键词[WOS]classification ; identification ; chromatography ; algorithms ; gasoline ; spectrometry ; performance ; classifiers ; octenes
收录类别SCI
语种英语
WOS记录号WOS:000301689100003
公开日期2013-10-11
源URL[http://159.226.238.44/handle/321008/117954]  
专题大连化学物理研究所_中国科学院大连化学物理研究所
作者单位1.Cent S Univ, Coll Chem & Chem Engn, Changsha 410083, Peoples R China
2.Chinese Acad Sci, Dalian Inst Chem Phys, Key Lab Separat Sci Analyt Chem, Dalian 116023, Peoples R China
3.Jiangnan Univ, State Key Lab Food Sci & Technol, Wuxi 214122, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Liangxiao,Fan, Wei,Cao, Dongsheng,et al. Neutral losses: A type of important variables in prediction of branching degree for acyclic alkenes from mass spectra[J]. analytica chimica acta,2012,720:16-21.
APA Zhang, Liangxiao,Fan, Wei,Cao, Dongsheng,Zeng, Maomao,Xiao, Hongbin,&Liang, Yizeng.(2012).Neutral losses: A type of important variables in prediction of branching degree for acyclic alkenes from mass spectra.analytica chimica acta,720,16-21.
MLA Zhang, Liangxiao,et al."Neutral losses: A type of important variables in prediction of branching degree for acyclic alkenes from mass spectra".analytica chimica acta 720(2012):16-21.

入库方式: OAI收割

来源:大连化学物理研究所

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