Application of multivariate curve resolution alternating least squares (MCR-ALS) to the quantitative analysis of pharmaceutical and agricultural samples.
Application of multivariate curve resolution alternating least squares (MCR-ALS), for the resolution and quantification of different analytes in different type of pharmaceutical and agricultural samples is shown. In particular, MCR-ALS is applied first to the UV spectrophotometric quantitative analysis of mixtures of commercial steroid drugs, and second to the near-infrared (NIR) spectrophotometric quantitative analysis of humidity and protein contents in forage cereal samples. Quantitative results obtained by MCR-ALS are compared to those obtained using the well established partial least squares regression (PLSR) multivariate calibration method.
Azzouz
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T
Department of Environmental Chemistry, IIQAB-CSIC, Jordi Girona 18, Barcelona 08034, Spain.
Tauler
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R
D018556:Crops, Agricultural / Q000737:chemistry*; D002523:Edible Grain / Q000737:chemistry; D001330:Electronic Data Processing / Q000379:methods; D016018:Least-Squares Analysis; D015999:Multivariate Analysis; D004364:Pharmaceutical Preparations / Q000032:analysis* / Q000737:chemistry; D011506:Proteins / Q000032:analysis; D013056:Spectrophotometry, Ultraviolet / Q000379:methods* / Q000706:statistics & numerical data; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods* / Q000706:statistics & numerical data; D013256:Steroids / Q000032:analysis
D004364:Pharmaceutical Preparations; D011506:Proteins; D013256:Steroids