partial least squares modeling as a powerful multivariate statistical tool was applied tothe simultaneous spectrophotometric determination of silicate and phosphate in aqueoussolutions. the concentration range for silicate and phosphate were 0.02-0.6 and 0.4-3 μg ml-1,respectively. the experimental calibration set was composed with 30 sample solutions using amixture design for two component mix...

BACKGROUND Covariate measurement error is common in epidemiologic studies. Current methods for correcting measurement error with information from external calibration samples are insufficient to provide valid adjusted inferences. We consider the problem of estimating the regression of an outcome Y on covariates X and Z, where Y and Z are observed, X is unobserved, but a variable W that measures...

An HS-SPME method was developed using multivariate experimental designs, which was conducted in two stages. The significance of each factor was estimated using the Plackett-Burman (P-B) design, for the identification of significant factors, followed by the optimization of the significant factors using central composite design (CCD). The multivariate experiment involved the use of Minitab® stati...

Four spectrophotometric methods are described and applied to resolve ternary mixtures of the corticosteroid Dexamethasone (DEX), the antibiotic Polymyxin B (PLX) and its encouraging Trimethoprim (TMP). The simultaneous determination of these three compounds was firstly accomplished by a derivative method using the “ratio spectrum-zero crossing derivative” (satisfactory results in synthetic mixt...