Sign constraints improve the detection of differences between complex spectral data sets: LC-IR as an example

Analytical Chemistry

Volumn 77, Issue 24, 2005, Pages 7998-8007

  Boelens, Hans F M ^a   Eilers, Paul H C ^b,c   Hankemeier, Thomas ^d  

^a UNIVERSITY OF AMSTERDAM   (Netherlands)

^b LEIDEN UNIVERSITY MEDICAL CENTER   (Netherlands)

^c TNO   (Netherlands)

^d LEIDEN UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

ASYMMETRIC LEAST SQUARES (ASLS); COMPONENT MODEL; DATA SETS; SIGN CONSTRAINTS;

COMPUTER SIMULATION; CONSTRAINT THEORY; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; SET THEORY; SIZE EXCLUSION CHROMATOGRAPHY;

SPECTROSCOPIC ANALYSIS;

ANALYTIC METHOD; ARTICLE; CHEMOMETRICS; GEL PERMEATION CHROMATOGRAPHY; MODEL; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SIMULATION; SPECTROSCOPY; STANDARD; TECHNIQUE;

CHROMATOGRAPHY, LIQUID; COMPUTER SIMULATION; LEAST-SQUARES ANALYSIS; MODELS, THEORETICAL; POLYCARBOXYLATE CEMENT; POLYMETHACRYLIC ACIDS; POLYMETHYL METHACRYLATE; SPECTROPHOTOMETRY, INFRARED; SPECTROSCOPY, FOURIER TRANSFORM INFRARED; SPECTRUM ANALYSIS;

EID: 29244452132     PISSN: 00032700     EISSN: None     Source Type: Journal    
DOI: 10.1021/ac051370e     Document Type: Article

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