Evaluation and reduction of the analytical uncertainties in GC-MS analysis using a boundary regression model

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• 作者：Miao Yu^a ; ^b ; Xingwang Hou^a ; ^b ; Qian Liu^a ; ^b ; Yawei Wang^a ; ^b ; Jiyan Liu^a ; ^b ; ^{liujy@rcees.ac.cn} ; Guibin Jiang^a ; ^b
• 关键词：Data visualization ; GC-MS ; Environmental analysis ; Regression model
• 刊名：Talanta
• 出版年：2017
• 出版时间：1 March 2017
• 年：2017
• 卷：164
• 期：Complete
• 页码：141-147
• 全文大小：1107 K
• 卷排序：164

文摘

Data process methods for GC-MS including data visualization and boundary models were proposed. Matrix effects could be descripted by similar boundary models in various samples. Such model could also be used to reduce the uncertainties during BDE-99 analysis.