Linear support vector regression and partial least squares chemometric models for determination of Hydrochlorothiazide and Benazepril hydrochloride in presence of related impurities: A comparative study

Naguib, Ibrahim A.; Abdelaleem, Eglal A.; Draz, Mohammed E.; Zaazaa, Hala E.

doi:10.1016/j.saa.2014.04.024

Cited by 36 publications

(22 citation statements)

References 17 publications

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“…Naguib et al [23] has developed Partial least squares regression (PLSR) and support vector regression (SVR) are two popular chemometric models. The comparison shows their characteristics via applying them to analyze Hydrochlorothiazide (HCTZ) and Benazepril hydrochloride (BZ) in presence of HCTZ impurities; Chlorothiazide (CT) and Salamide (DSA) as a case study.…”

Section: Uv Spectroscopic Methodsmentioning

confidence: 99%

Analytical Techniques for Determination of Hydrochlorothiazide and its Combinations: A Review

Savaj¹,

Patidar²,

Raj³

2015

Int J of Adv in Sci Res

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Hydrochlorothiazide is chemically 6-chloro-1, 1-dioxo-3, 4-dihydro-2H-1, 2, 4-benzothiadiazine-7-sulfonamide. Hydrochlorothiazide is a diuretic drug used for treatment of high blood pressure (hypertension) and accumulation of fluid (edema). It works by blocking salt and fluid reabsorption from the urine in the kidneys, causing increased urine output (dieresis). Hydrochlorothiazide is used to treat excessive fluid accumulation and swelling (edema) of the body caused by heart failure, cirrhosis, chronic kidney failure, corticosteroid medications, and nephrotic syndrome. It can be used alone or in conjunction with other blood pressure lowering medications to treat high blood pressure.This review focuses on the recent developments in analytical techniques for estimation of Hydrochlorothiazide alone or in combinations with other drugs in various biological media like human plasma and urine. This review will critically examine the (a) sample pretreatment method such as solid phase extraction (SPE), (b) separation methods such as thin layer chromatography (TLC), high performance liquid chromatography (HPLC), ultra performance liquid chromatography (UPLC), high performance thin layer chromatography (HPTLC), liquid chromatography coupled to tandem mass spectrometry (LC-MS) and capillary electrophoresis (CE), (c) other methods such as spectrophotometry, diffuse reflectance near infrared spectroscopy and electrochemical methods.

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Section: Uv Spectroscopic Methodsmentioning

confidence: 99%

Analytical Techniques for Determination of Hydrochlorothiazide and its Combinations: A Review

Savaj¹,

Patidar²,

Raj³

2015

Int J of Adv in Sci Res

View full text Add to dashboard Cite

show abstract

“…Then, Sparén et al 13 in quantitative assessment of tablets obtained RMSE of prediction (RMSEP) from 0.54 to 3.04% (w/w). The ultraviolet visible (UV-Vis) spectroscopy and chemometric models also allowed determination the presence of impurities in tablets 14 . Support vector regression (SVR) model was more accurate when compared to PLSR model with values for RMSEP between 0.18 -0.27 g mL -1 while the values for PLSR were RMSEP from 0.27 to 0.30 g mL -1 14 .…”

Section: Medical and Pharmaceutical Applicationsmentioning

confidence: 99%

Chemometrics in analytical chemistry – an overview of applications from 2014 to 2018

et al. 2019

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A compilation of papers published between 2014 and 2018 was evaluated. Many papers related to multivariate calibration and classification have been reported, as well as, design of experiments applications and artificial intelligence methods. Some applications were highlighted, as medical and pharmaceutical, food analysis, fuels, biological and forensic for the chemometric techniques on this review. Most studies are related to developing methods for practical solutions in industry or routine analysis. A promising scenario is shown considering the number of published papers: a total of 832 for this period using the keywords, multivariate classification, multivariate calibration, analysis, chemometrics, prediction, analytical chemistry, artificial neural networks (ANN), design of experiments (DoE) and factorial design. An useful overview for Analytical Chemistry researchers´ combined with Chemometrics is presented in this review.

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“…Fields of applications of SVMs extend to chemometrics, biosensors, computational biology and industrial modelling processes. Though being famous for the treatment of non-linear data, their application in handling linear models is still conceivable [27][28][29][30][31][32]. …”

Section: Support Vector Machines (Svms)mentioning

confidence: 99%

Factorial Design and Machine Learning Strategies: Impacts on Pharmaceutical Analysis

El-Azazy¹

2017

Spectroscopic Analyses - Developments and Applications

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Pharmaceutical analysis is going through an expeditious progress as the perception of 'multivariate data analysis' (MVA) becomes gradually more assimilated. Pharmaceutical analysis comprises a range of processes that covers both chemical and physical assessment of drugs and their formulations employing different analytical techniques. With the revolution in instrumental analysis and the huge amount of information produced, there must be an up-to-date data processing tool. The role of chemometrics then comes up. Multivariate analysis (MVA) has the capability of effectively drawing a complete picture of the investigated process. Moreover, MVA reproduces the arithmetic influence of variables and their interactions through a smaller number of trials, keeping both efforts and capitals. Spectrophotometry is among the most extensively used techniques in pharmaceutical analysis either direct (single component) or derivative (multicomponent). In addition to these recognized benefits, using chemometrics in conjunction with spectrophotometry affects three vital characteristics: accuracy, precision and robustness. The impact of hyphenation of spectrophotometric analytical techniques to chemometrics (experimental design and support vector machines) on analytical laboratory will be revealed. A theoretical background on the different factorial designs and their relevance is provided. Readers will be able to use this chapter as a guide to select the appropriate design for a problem.

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Linear support vector regression and partial least squares chemometric models for determination of Hydrochlorothiazide and Benazepril hydrochloride in presence of related impurities: A comparative study

Cited by 36 publications

References 17 publications

Analytical Techniques for Determination of Hydrochlorothiazide and its Combinations: A Review

Analytical Techniques for Determination of Hydrochlorothiazide and its Combinations: A Review

Chemometrics in analytical chemistry – an overview of applications from 2014 to 2018

Factorial Design and Machine Learning Strategies: Impacts on Pharmaceutical Analysis

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