Multicomponent determination of flavour enhancers in food preparations by partial least squares and principal component regression modelling of spectrophotometric data

The Analyst ◽  
1993 ◽  
Vol 118 (7) ◽  
pp. 807-813 ◽  
Author(s):  
Isabel Durán-Merás ◽  
Arsenio Muñoz de la Peña ◽  
Anunciación Espinosa-Mansilla ◽  
Francisco Salinas
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Principal Component Regression ◽  
Principal Component ◽  
Regression Modelling ◽  
Spectrophotometric Data ◽  
Flavour Enhancers

Spectrophotometric Simultaneous Determination of Levamisole and Triclabendazole in Tablets by Principal Component Regression and Partial Least Squares Chemometric Methods

2008 ◽  
Vol 59 (2) ◽  
pp. 154-158 ◽  
Author(s):  
Gozde Pektas ◽  
Erdal Dinc ◽  
Dumitru Baleanu
Keyword(s):  
Least Squares ◽  
Partial Least Squares ◽  
Principal Component Regression ◽  
Principal Component ◽  
Standard Addition ◽  
Chemometric Methods ◽  
Preliminary Separation ◽  
Absorbance Data ◽  
Good Agreement

Principal component regression (PCR) and partial least squares (PLS) chemometric methods were applied to the simultaneous quantitative analysis of levamisole (LVM) and triclabendazole (TCB) in tablets without using a preliminary separation, even in presence of the overlapping spectra of the above compounds. For both PCR and PLS, a concentration set containing 25 different mixtures of LVM and TCB in the linear concentration range was symmetrically prepared and then the absorbance values of the concentration set were measured at the wavelength set with Dl=0.1 nm in the spectral region of 225-322.3 nm. PCR and PLS calibrations were obtained by applying the PCR and PLS algorithms to the concentration set data (y-block) and their corresponding absorbance data (x-block). The validity of PCR and PLS chemometric methods was performed by using the independent synthetic mixtures and the standard addition technique. Then, these analytical methods were applied to the commercial tablets and a good agreement was obtained between experimental results provided by the application of the PCR and PLS to the synthetic and real samples.

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