期刊
ANALYST
卷 138, 期 16, 页码 4483-4492出版社
ROYAL SOC CHEMISTRY
DOI: 10.1039/c3an00743j
关键词
-
资金
- Major science and technology project of China tobacco Yunnan industrial Co., Ltd [2012JC03]
- National Nature Foundation of China [21275164, 11271374, 21075138]
Backgrounds existing in the analytical signal always impair the effectiveness of signals and compromise selectivity and sensitivity of analytical methods. In order to perform further qualitative or quantitative analysis, the background should be corrected with a reasonable method. For this purpose, a new automatic method for background correction, which is based on morphological operations and weighted penalized least squares (MPLS), has been developed in this paper. It requires neither prior knowledge about the background nor an iteration procedure or manual selection of a suitable local minimum value. The method has been successfully applied to simulated datasets as well as experimental datasets from different instruments. The results show that the method is quite flexible and could handle different kinds of backgrounds. The proposed MPLS method is implemented and available as an open source package at http://code.google.com/p/mpls.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据