Genetic Algorithm with Model-Updating-Based PLS Regression for the Spectrophotometric Determination of Clopidogrel, Atorvastatin, and Aspirin in the Presence of its Degradation Product

Salim, Mohamed M.; Sharkasy, Mona E. El; Walash, M. I.; Belal, F.

doi:10.1007/s10812-020-01040-z

Cited by 6 publications

(5 citation statements)

References 21 publications

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“…Upon the literature survey, a few spectrophotometric methods have been proposed for the analysis of ASP, CLP, and ATV or ROS in pharmaceutical preparations 11–16 . Besides, few liquid chromatography with tandem mass spectrometry (LC‐MS/MS) and high‐performance liquid chromatography (HPLC) methods have been proposed for the analysis of ASP, CLP, and ATV or ROS in pharmaceutical preparations 17–21 …”

Section: Introductionmentioning

confidence: 99%

“…10 Upon the literature survey, a few spectrophotometric methods have been proposed for the analysis of ASP, CLP, and ATV or ROS in pharmaceutical preparations. [11][12][13][14][15][16] Besides, few liquid chromatography with tandem mass spectrometry (LC-MS/MS) and high-performance liquid chromatography (HPLC) methods have been proposed for the analysis of ASP, CLP, and ATV or ROS in pharmaceutical preparations. [17][18][19][20][21] The UV absorption spectra of ASP, CLP, and ATV in mixture (1) and ASP, CLP, and ROS in mixture (2) in distilled water at their nominal concentrations ratio in tablets and capsules show strong overlap (Figures 2 and 3).…”

Section: Introductionmentioning

confidence: 99%

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A novel eco‐friendly methods for simultaneous determination of aspirin, clopidogrel, and atorvastatin or rosuvastatin in their fixed‐dose combination using chemometric techniques and artificial neural networks

AlSawy¹,

Elkady

Mostafa

2023

Journal of Chemometrics

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In this study, the simultaneous determination of aspirin, clopidogrel, and either atorvastatin or rosuvastatin in their fixed‐dose combination (FDC) formulations has been reported. As a straightforward substitute for employing distinct models for each component, UV spectrophotometry was applied with chemometric approaches and artificial neural networks to achieve this. Three chemometric techniques, including principal component regression (PCR), partial least‐squares (PLS), and classical least‐squares (CLS), were applied in addition to the radial basis function‐artificial neural network (RBF‐ANN). The validation of a set of laboratory‐prepared combinations of aspirin, clopidogrel, and atorvastatin in one ternary mixture and aspirin, clopidogrel, and rosuvastatin in a second ternary mixture was assessed, and the results from the use of these approaches were recorded and compared. The absorbance data matrix matching the concentration data matrix in CLS, PCR, and PLS was created using measurements of absorbances in the range of 250–280 nm at intervals of 0.2 nm in their zero‐order spectra. Then, in order to forecast the unknown concentrations, calibration or regression was created utilizing the concentration and absorbance data matrices. Using RBF‐ANN for the simultaneous determination of aspirin, clopidogrel, and atorvastatin or rosuvastatin in their formulations was achieved by providing the input layer with 151 neurons; there are 2 hidden layers and 3 output neurons were obtained. The green profile of the developed methods has been assessed and compared with previously reported spectrophotometric methods. The suggested techniques were effectively applied to FDC dosage forms that contained the cited medications.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel eco‐friendly methods for simultaneous determination of aspirin, clopidogrel, and atorvastatin or rosuvastatin in their fixed‐dose combination using chemometric techniques and artificial neural networks

AlSawy¹,

Elkady

Mostafa

2023

Journal of Chemometrics

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“…Nasirzadehroshenin et al and Eiamsa-ard et al in [47] and [48] utilized GA to simulate and predict heat transfer. The results offered by Salim et al [49] present the employment of GA with PLS regression in studying chemicals. Recently, several authors in [50] and [51] have proposed the PSO model in nuclear accelerators and predictions of mechanical behavior and hardness [52,53].…”

Section: Hybrid Anfis-ga and Anfis-pso Modelsmentioning

confidence: 99%

Modeling the electrical properties of heterojunctions using ANFIS, ANFIS-GA and ANFIS-PSO Models

Mohamed

2023

Phys. Scr.

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The present research introduces a theoretical study that aims to utilize ANFIS in estimating and predicting the electrical behavior of heterojunctions. For this purpose, five different heterojunctions were chosen. The experimental datasets that represent the electrical behavior of the chosen heterojunctions were extracted and employed in ANFIS as targets. To enhance the ANFIS performance two hybrid heuristic algorithms, genetic algorithm (GAs) and particle swarm optimization (PSO) were combined with ANFIS. The major contribution of the current research is to predict the electric characteristics of heterojunctions using ANFIS and increase the modeling accuracy of ANFIS by optimizing the premise and consequent parameters using (GAs) and (PSO). Also, compare the proportion of enhancement produced by using ANFIS-GA and ANFIS-PSO to decide which of them is more powerful under the study conditions. However, to the author’s knowledge, the presented goals have not been investigated before for heterojunctions. The mean squared error (MSE), the correlation coefficient (R2), and the standard deviation error (Std. error) were calculated for all trained models. The modeling errors of ANFIS-GA and ANFIS-PSO were compared to the error values produced by ANFIS. According to modeling results, simulation ANFIS outputs follow the experimental data patterns in excellent response. Predictions of electrical characteristics for heterojunctions using the trained models provide acceptable results where the MSE values obtained by training ANFIS-PSO are lower than their values obtained by ANFIS and ANFIS-GA models. The improvements in average percentages in ANFIS performance when combined with GA and PSO are equal to 2.2% and 3%, respectively. Consequently, the proposed ANFIS-PSO model is more accurate in predicting the electrical behavior of heterojunctions under the study conditions.

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“…e individuals included in the proportion are directly inherited in the offspring. For example, the first 15% of offspring with excellent individual fitness are set for direct inheritance [27].…”

Section: Wheel Bet Selectionmentioning

confidence: 99%

Research on Social Talent Governance Based on Genetic Algorithm

Zeng

2021

Scientific Programming

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The existing social talent governance algorithms have a number of issues such as slow convergence rate, relatively low data accuracy, recall rate, and low anti-interference. To address these problems, this paper proposes a research on social talent governance algorithm based on genetic algorithm. We discuss the difference between the traditional and the genetic algorithms and determine the implementation process of genetic algorithm. On this basis, the excellent individuals are determined by independent computing fitness, and the initialization population is designed according to the individual similarity threshold. After the population is defined, the roulette and deterministic sampling selection method are integrated to clarify the selection calculation process. Based on the calculation results, we design the crossover operator by segmented single-point crossover between individuals. The mutation operator is designed by segmented mutation of different gene segments according to the calculation results. The results are incorporated into the simulated annealing acceptance probability to conduct simulated annealing for the individuals after the cross-mutation operation and set relevant conditions after the end of the algorithm. We seek the optimal solution of the data within the number of iterations and finally realize the whole process of social talent governance algorithm. The experimental results show that the proposed algorithm has fast convergence rate, high data precision and recall, and has certain feasibility.

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Genetic Algorithm with Model-Updating-Based PLS Regression for the Spectrophotometric Determination of Clopidogrel, Atorvastatin, and Aspirin in the Presence of its Degradation Product

Cited by 6 publications

References 21 publications

A novel eco‐friendly methods for simultaneous determination of aspirin, clopidogrel, and atorvastatin or rosuvastatin in their fixed‐dose combination using chemometric techniques and artificial neural networks

A novel eco‐friendly methods for simultaneous determination of aspirin, clopidogrel, and atorvastatin or rosuvastatin in their fixed‐dose combination using chemometric techniques and artificial neural networks

Modeling the electrical properties of heterojunctions using ANFIS, ANFIS-GA and ANFIS-PSO Models

Research on Social Talent Governance Based on Genetic Algorithm

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