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Figures of merits of the calibration set for the developed <t> MCR-ALS model. </t>
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Figures of merits of the calibration set for the developed <t> MCR-ALS model. </t>
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Image Search Results


Figures of merits of the calibration set for the developed  MCR-ALS model.

Journal: Journal of Analytical Methods in Chemistry

Article Title: Simultaneous Determination of Over-the-Counter Pain Relievers in Commercial Pharmaceutical Products Utilizing Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) Multivariate Calibration Model

doi: 10.1155/2019/1863910

Figure Lengend Snippet: Figures of merits of the calibration set for the developed MCR-ALS model.

Article Snippet: The data were exported into Matlab for developing the MCR-ALS model in which five variables were used for all the studied analytes.

Techniques:

Validation parameters of the developed  MCR-ALS model.

Journal: Journal of Analytical Methods in Chemistry

Article Title: Simultaneous Determination of Over-the-Counter Pain Relievers in Commercial Pharmaceutical Products Utilizing Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) Multivariate Calibration Model

doi: 10.1155/2019/1863910

Figure Lengend Snippet: Validation parameters of the developed MCR-ALS model.

Article Snippet: The data were exported into Matlab for developing the MCR-ALS model in which five variables were used for all the studied analytes.

Techniques: Biomarker Discovery

Determination of the studied drugs in commercial tablets by the  MCR-ALS model  by the proposed and the reported HPLC method.

Journal: Journal of Analytical Methods in Chemistry

Article Title: Simultaneous Determination of Over-the-Counter Pain Relievers in Commercial Pharmaceutical Products Utilizing Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) Multivariate Calibration Model

doi: 10.1155/2019/1863910

Figure Lengend Snippet: Determination of the studied drugs in commercial tablets by the MCR-ALS model by the proposed and the reported HPLC method.

Article Snippet: The data were exported into Matlab for developing the MCR-ALS model in which five variables were used for all the studied analytes.

Techniques: