2000
DOI: 10.1002/(sici)1521-4168(20000301)23:3<215::aid-jhrc215>3.0.co;2-q
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Enhancing the Limit of Detection for Comprehensive Two-Dimensional Gas Chromatography (GC×GC) using Bilinear Chemometric Analysis

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Cited by 62 publications
(51 citation statements)
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“…The chemometric method utilizes the multivariate techniques, such as the generalized rank annihilation method (GRAM) (see e.g. Fraga et al, 2000). The accuracy, precision, and lower detection limit in the quantification can be improved using the GRAM method.…”
Section: Quantificationmentioning
confidence: 99%
See 1 more Smart Citation
“…The chemometric method utilizes the multivariate techniques, such as the generalized rank annihilation method (GRAM) (see e.g. Fraga et al, 2000). The accuracy, precision, and lower detection limit in the quantification can be improved using the GRAM method.…”
Section: Quantificationmentioning
confidence: 99%
“…Apart from the thermal modulators, valve-based modulators can also be used to make GC×GC measurements (Bruckner et al, 1998;Fraga et al, 2000;Johnson et al, 2002). However, the valve-based modulators send only a part of the effluent from the first column to the second column because they use the so-called heart-cutting technique.…”
Section: Introductionmentioning
confidence: 99%
“…Similarly, the issue of coelutions, although important for peak detection, was not considered herein, as neither the two-step nor watershed algorithm incorporates a solution for coelution. Other techniques have been developed for unmixing coeluted peaks, e.g., [11][12][13][14][15][16][17][18][19][20][21]. Step (2-Step) peak detection algorithms for peaks with parametric skew (s); first-column (x-dimension) peak-width standard deviation, σ x ; second-column (y-dimension) peak-width standard deviation, σ y ; and noise standard deviation, σ n .…”
Section: Resultsmentioning
confidence: 99%
“…Como o algoritmo GRAM utiliza a bilinearidade do conjunto de dados multidimensionais, ele foi utilizado para verificar a reprodutibilidade de dados obtidos em equipamentos de GC × GC construídos em laboratórios de pesquisa. 49,52,53 A análise de fatores paralelos (PARAFAC, Parallel Factor Analysis) é o algoritmo mais utilizado no tratamento de dados gerados a partir de GC × GC, principalmente, por apresentar vantagem de segunda ordem e também devido à facilidade de uso e interpretação dos resultados. No algoritmo PARAFAC, a decomposição dos dados é feita em tríades, onde cada componente consiste de um vetor escore e dois vetores pesos e, idealmente, o número de componentes é igual ao número de espécies químicas.…”
Section: Quimiometria E Gc × Gcunclassified