Spectrophotometric simultaneous determination of cobalt, copper and nickel using nitroso-R-salt in alloys by partial least squares

2004 ◽  
Vol 510 (1) ◽  
pp. 121-126 ◽  
Author(s):  
Jahanbakhsh Ghasemi ◽  
Nahid Shahabadi ◽  
Hamid R Seraji
Keyword(s):  
Least Squares ◽  
Simultaneous Determination ◽  
Partial Least Squares ◽  
Cobalt Copper

Simultaneous determination of methylxanthines in coffees and teas by UV-Vis spectrophotometry and partial least squares

2003 ◽  
Vol 493 (1) ◽  
pp. 83-94 ◽  
Author(s):  
Leticia López-Martı́nez ◽  
Pedro Luis López-de-Alba ◽  
Rosalinda Garcı́a-Campos ◽  
Luis M De León-Rodrı́guez
Keyword(s):  
Least Squares ◽  
Simultaneous Determination ◽  
Partial Least Squares

Comparative study of partial least squares and multivariate curve resolution for simultaneous spectrophotometric determination of pharmaceuticals in environmental samples

RSC Advances ◽  
2015 ◽  
Vol 5 (86) ◽  
pp. 70017-70024 ◽  
Author(s):  
Hadi Parastar ◽  
Hamidreza Shaye
Keyword(s):  
Comparative Study ◽  
Least Squares ◽  
Simultaneous Determination ◽  
Partial Least Squares ◽  
Mefenamic Acid ◽  
Environmental Samples ◽  
Multivariate Curve Resolution ◽  
Curve Resolution ◽  
Target Analytes

The potentials of PLSR and MCR-ALS are evaluated for the simultaneous determination of diclofenac, naproxen, mefenamic acid and carbamazepine as target analytes and gemfibrozil as interference in synthetic and real environmental samples.

Multivariate Approaches for Simultaneous Determination of Avanafil and Dapoxetine by UV Chemometrics and HPLC-QbD in Binary Mixtures and Pharmaceutical Product

2016 ◽  
Vol 99 (3) ◽  
pp. 649-663 ◽  
Author(s):  
Mital N Patel ◽  
Charmy S Kothari
Keyword(s):  
Least Squares ◽  
Simultaneous Determination ◽  
Partial Least Squares ◽  
Optimization Design ◽  
Dosage Form ◽  
Quadratic Model ◽  
Analytical Sensitivity ◽  
Condition Optimization ◽  
Response Variables

Abstract Multivariate UV-spectrophotometric methods and Quality by Design (QbD) HPLC are described for concurrent estimation of avanafil (AV) and dapoxetine (DP) in the binary mixture and in the dosage form. Chemometric methods have been developed, including classical least-squares, principal component regression, partial least-squares, and multiway partial least-squares. Analytical figures of merit, such as sensitivity, selectivity, analytical sensitivity, LOD, and LOQ were determined. QbD consists of three steps, starting with the screening approach to determine the critical process parameter and response variables. This is followed by understanding of factors and levels, and lastly the application of a Box-Behnken design containing four critical factors that affect the method. From an Ishikawa diagram and a risk assessment tool, four main factors were selected for optimization. Design optimization, statistical calculation, and final-condition optimization of all the reactions were Carried out. Twenty-five experiments were done, and a quadratic model was used for all response variables. Desirability plot, surface plot, design space, and three-dimensional plots were calculated. In the optimized condition, HPLC separation was achieved on Phenomenex Gemini C18 column (250 × 4.6 mm, 5 μm) using acetonitrile–buffer (ammonium acetate buffer at pH 3.7 with acetic acid) as a mobile phase at flow rate of 0.7 mL/min. Quantification was done at 239 nm, and temperature was set at 20°C. The developed methods were validated and successfully applied for simultaneous determination of AV and DP in the dosage form.

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