Spectrophotometric Quantification of Telmisartan Employing Multivariate Calibration Technique in Bulk and Pharmaceutical Formulations

2019 ◽  
Vol 12 (4) ◽  
pp. 1799
Author(s):  
A. Sai Susmitha ◽  
K. S. Kokilambigai ◽  
K. S. Lakshmi
Keyword(s):  
Multivariate Calibration ◽  
Pharmaceutical Formulations ◽  
Calibration Technique

scholarly journals SPECTROPHOTOMETRIC QUANTIFICATION OF GRANISETRON IN BULK DRUG AND PHARMACEUTICAL FORMULATIONS EMPLOYING MULTIVARIATE CALIBRATION TECHNIQUE

2021 ◽  
Vol 10 (4) ◽  
pp. 3435-3439
Author(s):  
Aravinth R Mani
Keyword(s):  
Multivariate Calibration ◽  
Regression Coefficient ◽  
Ultra Violet ◽  
Pharmaceutical Formulations ◽  
Regression Method ◽  
Regression Equations ◽  
Calibration Technique ◽  
Multilinear Regression ◽  
Linear Plot ◽  
Bulk Drug

The study goal is to establish a sensitive, accurate, simple and validated Ultra violet (UV) spectrophotometric technique by multilinear regression method for the assessment of Granisetron in the bulk drug and pharmaceutical formulations. The multivariate calibration technique relies on linear regression equations and employs correlation between absorbance and concentration at five different wavelengths. The λmax of Granisetron was at 302 nm. The results were treated statistically. A linear plot was achieved in the concentration range of 10 - 30 μmol/L and regression coefficient was obtained to be 0.999. The percentage recovery was obtained in the range of 99.48 - 101.81 % w/w.

Weak Transient Magnetic Fields Detecting in Thermomagnetic Effect Study of Polymer Material Deformations

2014 ◽  
Vol 687-691 ◽  
pp. 4228-4231
Author(s):  
Sheng Ming Chen ◽  
Ying She Luo ◽  
Jian Xin Su ◽  
Yong Zhong Zhang
Keyword(s):  
Multivariate Calibration ◽  
Three Dimensional ◽  
Effect Study ◽  
Calibration Technique ◽  
Thermomagnetic Effect ◽  
Magnetic Detector ◽  
Hall Sensors ◽  
Compact Design ◽  
Transient Magnetic Fields ◽  
Pixel Matrix

A self-developed magnetic detector is presented, which is made up with 64 Hall sensors assembled as an 8×8 serried array in a 50×50mm quadrate circuit wafer, to catch a weak transient magnetic field. The disadvantage accompanying with compact design is the sharp rise of sensor’s working temperature due to the power consumed is on increasing. An approach in which the 64 Hall elements are connected as a three dimensional magnetic-pixel matrix and are driven by dynamic power is presented. The homologous hardware correction illustrative diagram is provided, including its measuring principle and multivariate calibration technique. The experimental results indicated that the proposed method is a beneficial exploration for sensor power supply.

Least-Squares Regression and Spectral Residual Augmented Classical Least-Squares Chemometric Models for Stability-Indicating Analysis of Agomelatine and Its Degradation Products: A Comparative Study

2016 ◽  
Vol 99 (2) ◽  
pp. 386-395 ◽  
Author(s):  
Ibrahim A Naguib ◽  
Maha M Abdelrahman ◽  
Mohamed R El Ghobashy ◽  
Nesma A Ali
Keyword(s):  
Comparative Study ◽  
Least Squares ◽  
Multivariate Calibration ◽  
Degradation Products ◽  
Pharmaceutical Formulations ◽  
Forced Degradation ◽  
Least Squares Regression ◽  
Prediction Ability ◽  
Stability Indicating ◽  
Spectral Residual

Abstract Two accurate, sensitive, and selective stability-indicating methods are developed and validated for simultaneous quantitative determination of agomelatine (AGM) and its forced degradation products (Deg I and Deg II), whether in pure forms or in pharmaceutical formulations. Partial least-squares regression (PLSR) and spectral residual augmented classical least-squares (SRACLS) are two chemometric models that are being subjected to a comparative study through handling UV spectral data in range (215–350 nm). For proper analysis, a three-factor, four-level experimental design was established, resulting in a training set consisting of 16 mixtures containing different ratios of interfering species. An independent test set consisting of eight mixtures was used to validate the prediction ability of the suggested models. The results presented indicate the ability of mentioned multivariate calibration models to analyze AGM, Deg I, and Deg II with high selectivity and accuracy. The analysis results of the pharmaceutical formulations were statistically compared to the reference HPLC method, with no significant differences observed regarding accuracy and precision. The SRACLS model gives comparable results to the PLSR model; however, it keeps the qualitative spectral information of the classical least-squares algorithm for analyzed components.

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