Smart templates for peak pattern matching with comprehensive two-dimensional liquid chromatography.

Smart templates for peak pattern matching with comprehensive two-dimensional liquid chromatography.
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DOI:
10.1016/j.chroma.2008.09.058
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发表时间:
2009-04-17
期刊:
Journal of chromatography. A
影响因子:
--
通讯作者:
Tao Q
Tao Q
中科院分区:
其他
文献类型:
--
作者:
Reichenbach SE;Carr PW;Stoll DR;Tao Q

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综合二维液相色谱(lclc)产生信息丰富但复杂的峰模式,需要自动化处理以快速进行化学鉴定和分类。本文描述了一种强大的峰模式匹配方法和具体方法,用于识别和分类LCxLC和其他多维化学分离数据中的成分峰。该方法在模板中记录具有保留时间的峰的原型模式和相关的元数据,例如化学特性和类。然后,将模板模式与后续数据中检测到的峰值进行匹配,并从模板中复制元数据,对匹配的峰值进行识别和分类。智能模板采用基于规则的约束(例如,多光谱匹配)来提高匹配精度。实验结果表明,智能模板结合了保留时间模式匹配和多光谱约束,对于与不同色谱条件相关的峰模式变化具有准确和鲁棒性。
Comprehensive two-dimensional liquid chromatography (LCxLC) generates information-rich but complex peak patterns that require automated processing for rapid chemical identification and classification. This paper describes a powerful approach and specific methods for peak pattern matching to identify and classify constituent peaks in data from LCxLC and other multidimensional chemical separations. The approach records a prototypical pattern of peaks with retention times and associated metadata, such as chemical identities and classes, in a template. Then, the template pattern is matched to the detected peaks in subsequent data and the metadata are copied from the template to identify and classify the matched peaks. Smart Templates employ rule-based constraints (e.g., multispectral matching) to increase matching accuracy. Experimental results demonstrate Smart Templates, with the combination of retention-time pattern matching and multispectral constraints, are accurate and robust with respect to changes in peak patterns associated with variable chromatographic conditions.
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