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Volumn 123, Issue , 2014, Pages 273-281
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Analysis of variation matrix array by bilinear least squares-residual bilinearization (BLLS-RBL) for resolving and quantifying of foodstuff dyes in a candy sample
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Author keywords
Bilinear least square residual bilinearization; Carmosine; Second order advantage; Sunset yellow; Variation matrix
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Indexed keywords
ANALYSIS OF VARIATIONS;
BILINEAR LEAST SQUARE-RESIDUAL BILINEARIZATION;
BILINEAR LEAST SQUARES;
CARMOSINE;
NON-UNIQUENESS PROBLEMS;
SECOND-ORDER ADVANTAGES;
SECOND-ORDER CALIBRATION;
SUNSET YELLOWS;
ALGORITHMS;
CALIBRATION;
MIXTURES;
PH;
MATRIX ALGEBRA;
AZO COMPOUND;
FD & C YELLOW NO. 6;
FOOD DYE;
SUNSET YELLOW;
ALGORITHM;
ARTICLE;
BILINEAR LEAST SQUARE-RESIDUAL BILINEARIZATION;
CARMOSINE;
METHODOLOGY;
PH;
REGRESSION ANALYSIS;
SECOND ORDER ADVANTAGE;
SPECTROPHOTOMETRY;
VARIATION MATRIX;
BILINEAR LEAST SQUARE-RESIDUAL BILINEARIZATION;
CARMOSINE;
SECOND ORDER ADVANTAGE;
SUNSET YELLOW;
VARIATION MATRIX;
ALGORITHMS;
AZO COMPOUNDS;
FOOD COLORING AGENTS;
HYDROGEN-ION CONCENTRATION;
LEAST-SQUARES ANALYSIS;
SPECTROPHOTOMETRY;
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EID: 84891810960
PISSN: 13861425
EISSN: None
Source Type: Journal
DOI: 10.1016/j.saa.2013.12.047 Document Type: Article |
Times cited : (13)
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References (20)
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