Interactive calibration by a recursive generalized standard addition method

Ultraviolet and light absorption spectrometry

“…A least-squares calculation known as linear parameter estimation has been studied to determine its affect on precision and potential applicability in multicomponent analysis (219). The generalized standard addition method (GSAM) has been the subject of a number of investigations in order to determine its ability to compensate for drift and interferences (246) and correcting for matrix effects in multicomponent analysis (245,247,539). Spectrophotometric determinations of reaction stoichiometry and equilibrium constants have included investigations of redox reactions involving iodate, bromate, or periodate and manganese(II) or some cyclohexanedion bisthiosemicarbazones (428) and reactions of Antipyrylazo III complexing with the calcium ion (108).…”

Simultaneous spectrophotometric determination of paracetamol and para‐aminophenol in pharmaceutical dosage forms using two novel multivariate standard addition methods based on net analyte signal and rank annihilation factor analysis

“…In simultaneous determination of several coexisting analytes, especially when spectroscopic methods are employed, peak overlapping. The limitation of poor selectivity of some analytical sensors in calibration models has been compensated by applying the first‐order multivariate methods 17. Another serious problem in calibration could occur when the sensitivity of sensors varies with the changing of the matrix in the sample, i.e.…”

“…matrix effect, which can be diminished using standard addition method (SAM). Generalized standard addition method (GSAM)17, 18 is a combination of multivariate calibration methods with standard addition method to handle the interference effects of both sample matrix and coexisting species. Very recently, we proposed two new multivariate standard addition methods based on net analyte signal concept (named SANAS) and rank annihilation factor analysis (named SARAF) 19.…”

“…The limitation of poor selectivity of some analytical sensors in calibration models has been compensated by applying the first-order multivariate methods. [17] Another serious problem in calibration could occur when the sensitivity of sensors varies with the changing of the matrix in the sample, i.e. matrix effect, which can be diminished using standard addition method (SAM).…”

Calibração multivariada para sistemas com bandas sobrepostas através da análise da fatores do tipo Q

“…Do ponto de vista da química analítica 1 estes métodos multivariados de uma forma geral podem ser classificados em três categorias: I) quando se tem informação espectral de todas as espécies existentes na amostra; II) quando a informação dos espectros das espécies químicas são incompletos ou parciais; III) quando não existe nenhuma informação sobre a composição química das amostras. A primeira categoria pode ser dividida em quatro subcategorias, dependendo da escolha do planejamento experimental: a) métodos de calibração direta: regressão linear múltipla 2,3 (MLR), "Kalman Filtering" 4,5 (KF); b) métodos de calibração indireta: método da matriz k [6][7][8] , método da matrizp 7,8 , regressão por mínimos quadrados parciais 2,[9][10][11][12] (PLS), regressão nas componentes principais [12][13][14] (PCR); c) métodos de adição de padrão generalizada [15][16][17] (GSAM); "Interative target testing factor analysis technique" 18,19 (ITTFA); d) métodos de referência interna generalizada 20 (GIRM); Na segunda categoria o método mais utilizado é o "generalized rank annihilation factor analysis" 21 (GRAFA), enquanto que na terceira categoria incluise: o método para análise de espectros correlacionados 22 (DATAN), "self-modeling curve resolution" 23 (SMCR), "envolving factor analysis" 24 (EFA), "interative self-modeling multivariate analysis" [25][26][27][28] (SIMPLISMA) e "self-modeling multivariate analysis" [25][26][27][28] (ISMA).…”