DICP OpenIR
Trilinear decomposition method applied to removal of three-dimensional background drift in comprehensive two-dimensional separation data
Zhang, Yan; Wu, Hai-Long; Xia, A.-Lin; Hu, Liang-Hai; Zou, Han-Fa; Yu, Ru-Qin; Zou HF(邹汉法); Ru-Qin Yu; Zou HF(邹汉法); Ru-Qin Yu
KeywordRemoval Three-dimensional Background Drift Lc x Lc-dad Atld Three-way Data Analysis
Source PublicationJOURNAL OF CHROMATOGRAPHY A
2007-10-12
ISSN0021-9673
DOI10.1016/j.chroma.2007.08.055
Volume1167Issue:2Pages:178-183
Indexed BySCI
SubtypeArticle
Department18
Funding Project1809
Contribution Rank2;4
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine ; Physical Sciences
WOS SubjectBiochemical Research Methods ; Chemistry, Analytical
WOS Research AreaBiochemistry & Molecular Biology ; Chemistry
WOS KeywordPERFORMANCE LIQUID-CHROMATOGRAPHY ; FLIGHT MASS-SPECTROMETRY ; LC X GC ; 2ND-ORDER CALIBRATION ; AUTOMATED INSTRUMENTATION ; HPLC-DAD ; ELECTROPHORESIS ; ALGORITHM ; PROTEINS
AbstractA novel technique for removal of three-dimensional back.-round drift in comprehensive two-dimensional (21)) liquid chromatography coupled with diode array detection (LC x LC-DAD) data is proposed. The basic idea is to perform trilinear decomposition on the instrumental response data, which is based on the alternating trilinear decomposition (ATLD) algorithm. In model construction, the background drift is modeled as one component or factor as well as the analytes of interest, hence, the drift is explicitly included into the calibration. The method involves performing trilinear decomposition on the raw data, then extracting the background component and subtracting this background data from the raw data, leaving the analytes signal on a flat baseline. Simultaneous evaluation of three-dimensional background drift and true signals may improve the quality of the data. This method is applied to the determination and removal of three-dimensional background drifts in simulated multidimensional data as well as experimental comprehensive two-dimensional liquid chromatographic data. It is shown that this technique yield a good removal of background drift. without the need to perform a blank chromatographic run, and required no prior knowledge about the sample composition. (C) 2007 Elsevier B.V All rights reserved.
Language英语
URL查看原文
WOS IDWOS:000250029000007
Citation statistics
Cited Times:38[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://cas-ir.dicp.ac.cn/handle/321008/99255
Collection中国科学院大连化学物理研究所
Corresponding AuthorZou HF(邹汉法); Ru-Qin Yu; Zou HF(邹汉法); Ru-Qin Yu
Affiliation1.Hunan Univ, Coll Chem & Chem Engn, State Key Lab Chemo Bosensing & Chemometr, Changsha 410082, Peoples R China
2.Chinese Acad Sci, Dalian Inst Chem Phys, Natl Chromatog R&A Ctr, Dalian 116023, Peoples R China
Recommended Citation
GB/T 7714
Zhang, Yan,Wu, Hai-Long,Xia, A.-Lin,et al. Trilinear decomposition method applied to removal of three-dimensional background drift in comprehensive two-dimensional separation data[J]. JOURNAL OF CHROMATOGRAPHY A,2007,1167(2):178-183.
APA Zhang, Yan.,Wu, Hai-Long.,Xia, A.-Lin.,Hu, Liang-Hai.,Zou, Han-Fa.,...&Ru-Qin Yu.(2007).Trilinear decomposition method applied to removal of three-dimensional background drift in comprehensive two-dimensional separation data.JOURNAL OF CHROMATOGRAPHY A,1167(2),178-183.
MLA Zhang, Yan,et al."Trilinear decomposition method applied to removal of three-dimensional background drift in comprehensive two-dimensional separation data".JOURNAL OF CHROMATOGRAPHY A 1167.2(2007):178-183.
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