scholarly journals Individual and simultaneous determinations of phenothiazine drugs using PCR, PLS and (OSC)-PLS multivariate calibration methods

2008 ◽  
Vol 73 (2) ◽  
pp. 233-247 ◽  
Author(s):  
Mohammad Karimi ◽  
Mazloum Ardakani ◽  
Reza Behjatmanesh-Ardakani ◽  
Hormozi Nezhad ◽  
Hamzeh Amiryan
Keyword(s):  
Simultaneous Determination ◽  
Multivariate Calibration ◽  
Phenothiazine Derivatives ◽  
Colored Complex ◽  
Calibration Methods ◽  
Orthogonal Signal Correction ◽  
The Individual ◽  
Mean Square Errors ◽  
Phenothiazine Drugs

Individual and simultaneous determinations of some phenothiazine drugs are described. The individual determination method is based on the reaction of chlorpromazine hydrochloride (CPH), promethazine hydrochloride (PH), trifluoperazine hydrochloride (TFPH), trimipramine maleate (TPM) and thioridazine hydrochloride (TRDH) with complex of [Fe(Bpy)3]3+. In the presence of phenothiazine derivatives, [Fe(Bpy)3]3+ is reduced easily to the colored complex [Fe(Bpy)3]2+, which shows an absorption maximum at 525 nm. The individual method is highly sensitive and suitable for 0.3-190 ?g ml-1 concentrations, with detection limits in the range 0.18-2.46 ?g ml-1. Simultaneous kinetic-spectrophotometric determination of ternary mixture of CPH, PH and TPM using principal component regression (PCR), partial least squares (PLS) and orthogonal signal correction (OSC)-PLS multivariate calibration methods is also described. The simultaneous methods are based on the difference observed in the reduction rate of the [Fe(Bpy)3]3+ complex with CPH, PH and TPM in acidic media. The results showed that the simultaneous determination of CPH, PH and TPM can be performed in the concentration ranges of 0.5-120.0, 0.3-80.0 and 5.0-100.0 ?g ml-1, respectively, for three methods (PCR, PLS and OSC-PLS). The root mean square errors of prediction (RMSEP) of CPH, PH and TPM were 0.346, 0.663 and 0.820 (for PCR) 0.317, 0.659 and 0.830 (for PLS) and 0.087, 0.124 and 0.085 (for OSC-PLS), respectively. The proposed methods were successfully applied to the individual and simultaneous determination of phenothiazine derivatives in pharmaceutical preparations, the results of which compared well with those obtained by the official method, and several synthetic (spiked) samples, whereby satisfactory results were obtained.

scholarly journals Simultaneous Determination of Promethazine, Chlorpromazine, and Perphenazine by Multivariate Calibration Methods and Derivative Spectrophotometry

2002 ◽  
Vol 85 (3) ◽  
pp. 555-562 ◽  
Author(s):  
Mojtaba Shamsipur ◽  
Bahram Hemmateenejad ◽  
Morteza Akhond
Keyword(s):  
Simultaneous Determination ◽  
Multivariate Calibration ◽  
Derivative Spectrophotometry ◽  
Derivative Spectra ◽  
Calibration Methods ◽  
Artificial Neural Network Ann ◽  
Comparison Of The Results ◽  
Value Decomposition ◽  
Phenothiazine Drugs

Abstract Partial least-squares (PLS) regression, singular value decomposition-based PLS, and an artificial neural network (ANN) were tested as calibration procedures for the simultaneous determination of promethazine, chlorpromazine, and perphenazine by both conventional and derivative spectrophotometry. Comparison of the results revealed that the application of the ANN to the derivative spectra is superior to the application of the 2 PLS methods used. Different binary and ternary synthetic mixtures of the phenothiazine drugs in pure form and in tablets were analyzed by the proposed method, and acceptable results were obtained.

Cyclic voltammetric simultaneous determination of oxidizable amino acids using multivariate calibration methods

2000 ◽  
Vol 405 (1-2) ◽  
pp. 153-160 ◽  
Author(s):  
Javier Saurina ◽  
Santiago Hernández-Cassou ◽  
Esteve Fàbregas ◽  
Salvador Alegret
Keyword(s):  
Amino Acids ◽  
Simultaneous Determination ◽  
Multivariate Calibration ◽  
Cyclic Voltammetric ◽  
Calibration Methods

scholarly journals Genetic Algorithms-Based Approach for Wavelength Selection in Simultaneous Spectrofluorimetric Determination of Ofloxacin and Riboflavin in biological samples by Partial Least-Squares

2019 ◽  
Vol 63 (4) ◽  
Author(s):  
Farah Assadian ◽  
Ali Niazi
Keyword(s):  
Least Squares ◽  
Simultaneous Determination ◽  
Partial Least Squares ◽  
Relative Standard Error ◽  
Good Reliability ◽  
Prediction Ability ◽  
Relative Standard ◽  
Orthogonal Signal Correction ◽  
Mean Square Errors

This study shows that genetic algorithm (GA) is a suitable method for selecting wavelengths for partial least squares (PLS) calibration of mixtures with almost identical spectra without loss of prediction capacity employing spectrofluorimetric method. A training set of mixtures containing different concentrations of ofloxacin (OFL) and riboflavin (B2) were prepared to be used as calibration set to check the prediction ability of GA-PLS models due to spectral overlapping of these constituents. Each model was validated using a validation set and then real samples were analyzed. Linear calibration curves were obtained in the 0.5-5.0 and 2.0-10.0 µg mL-1 range for ofloxacin and riboflavin, respectively. To preprocess the data matrices, the orthogonal signal correction (OSC) was used and the analysis results were statistically compared. The methods accuracy for simultaneous determination of ofloxacin and riboflavin, were evaluated by the root mean square errors of prediction (RMSEP) which were 0.0868 and 0.158 for ofloxacin and riboflavin, respectively, and relative standard error of prediction (RSEP) which were 2.738 and 2.846 for ofloxacin and riboflavin, respectively using OSC-GA-PLS models. This procedure allows the simultaneous determination of OFL and B2 in human urine and serum samples with good reliability of the determination.

scholarly journals Multivariate Validated Models for Simultaneous Determination of Ibuprofen and Famotidine in the Presence of Related Substances

2018 ◽  
Vol 101 (4) ◽  
pp. 1001-1007
Author(s):  
Eman S Elzanfaly ◽  
Hala E Zaazaa ◽  
Aya T Soudi ◽  
Maissa Y Salem
Keyword(s):  
Simultaneous Determination ◽  
Multivariate Calibration ◽  
Degradation Products ◽  
Principal Component Regression ◽  
Principal Component ◽  
Standard Addition ◽  
Spectrophotometric Methods ◽  
Related Substances ◽  
Calibration Methods

Abstract Two multivariate validated spectrophotometric methods, namely partial least-squares (PLS) and principal component regression (PCR), were developed and validated for the determination of ibuprofen and famotidine in presence of famotidine degradation products and ibuprofen impurity (4-isobutylacetophenone). A calibration set was prepared in which the two drugs together with the degradation products and impurity were modeled using a multilevel multifactor design. This calibration set was used to build the PLS and PCR models. The proposed models successfully predicted the concentrations of both drugs in validation samples, with low root mean square error of cross validation (RMSECV) percentage. The method was validated by the estimate of the figures of merit depending on the net analyte signal. The results of the two models showed that the simultaneous determination of both drugs could be performed in the concentration ranges of 100–500 µg/mL for ibuprofen and 5–25 µg/mL for famotidine. The proposed multivariate calibration methods were applied for the determination of ibuprofen and famotidine in their pharmaceutical formulation, and the results were verified by the standard addition technique.

Chemometrics-assisted spectrophotometric method for simultaneous estimation of antipsychotic drugs in biological fluid

2020 ◽  
Vol 16 ◽  
Author(s):  
Mojdeh Alibakhshi ◽  
Mahmoud Reza Sohrabi ◽  
Mehran Davallo
Keyword(s):  
Simultaneous Determination ◽  
Antipsychotic Drugs ◽  
Multivariate Calibration ◽  
Biological Fluid ◽  
Principal Component Regression ◽  
Reference Method ◽  
Principal Component ◽  
Simultaneous Estimation ◽  
Calibration Methods

Background: Haloperidol (HP) and Risperidone (RIS) are antipsychotic drugs and the simultaneous determination of these drugs is important. Estimation of HP and RIS alone or in combination with other drugs has been performed in a variety of ways. Objective: The aim of this paper was to propose a rapid, simple, accurate, and robust method for the simultaneous determination of HP and RIS using artificial neural networks (ANNs), partial least squares (PLS), and principal component regression (PCR) methods along with spectrophotometry technique. Methods: The simultaneous spectrophotometric determination of HP and RIS in synthetic mixtures and biological fluid was performed by applying ANNs containing feed forward backpropagation (FFBP) and radial basis function (RBF) networks as intelligent methods, as well as PLS, and principal component regression PCR as multivariate calibration methods. The Levenberg–Marquardt (LM), Scaled conjugate gradient (SCG), and Resilient Back-propagation (RP) algorithms with different layers and neurons were used in FFBP network and obtained results were compared with each other. Results: Among various algorithms of the FFBP network, the LM algorithm was selected as the best model with a lower mean square error (MSE). MSE of the RBF model was 1.46×10-25 and 1.62×10-23 for HP and RIS, respectively. On the other hand, the mean recovery of PLS and PCR was 99.91%, 100.01% and 98.60%, 101.90% for HP and RIS, respectively. Conclusion: The proposed models and high-performance liquid chromatography (HPLC) as a reference method were compared with each other by one-way analysis of variance (ANOVA) test at the 95 % confidence level for the urine sample. It was observed that the developed methods presented comparable results for the simultaneous determination of HP and RIS.

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