DEVELOPMENT AND VALIDATION OF CHEMOMETRIC-ASSISTED UV-SPECTROPHOTOMETRIC METHOD FOR EPIGALLOCATECHIN GALLATE AND CURCUMIN IN TABLET FORMULATION

INDIAN DRUGS ◽  
2020 ◽  
Vol 57 (04) ◽  
pp. 45-51
Author(s):  
N. C. Patel ◽  
A. P. Patel ◽  
J. K. Patel
Keyword(s):  
Epigallocatechin Gallate ◽  
Tablet Formulation ◽  
Partial Least Square ◽  
Least Square ◽  
Data Matrix ◽  
Simultaneous Estimation ◽  
Calibration Data ◽  
Mixed Solution ◽  
Validation Set ◽  
Development And Validation

A chemometric method, Partial Least Square, was applied for the simultaneous estimation of epigallocatechin gallate and curcumin in tablet formulation. Twenty five mixed sample solutions were prepared for chemometric calibration as training set and sixteen mixed solution for validation set using Full Factorial Design. The absorbance data matrix was obtained by measuring absorbance at 20 different wavelengths in the range of 220 to 410 nm (Δλ = 10 nm). The developed calibration data was used to test tablet formulation containing epigallocatechin gallate and curcumin. The developed methods were validated using RMSECV and RMSEP. The chemometric calculations were performed using Minitab 16.1.1 and Microsoft Excel 2010. The method is also more accurate and precise than conventional UV methods.

CHEMOMETRICS ASSISTED SPECTROSCOPIC METHOD DEVELOPMENT AND VALIDATION FOR SIMULTANEOUS DETERMINATION OF SOFOSBUVIR AND DACLATASVIR DIHYDROCHLORIDE IN TABLET FORMULATION

INDIAN DRUGS ◽  
2020 ◽  
Vol 57 (03) ◽  
pp. 37-46
Author(s):  
Sapna M Rathod ◽  
Paresh U Patel
Keyword(s):  
Method Development ◽  
Spectroscopic Method ◽  
Principal Component ◽  
Tablet Formulation ◽  
Partial Least Square ◽  
Least Square ◽  
Simultaneous Estimation ◽  
Mixed Solution ◽  
Chemometric Methods ◽  
Validation Set

Four chemometric methods, namely Classical Least Square (CLS), Inverse Least Square (ILS), Partial Least Square (PLS) and Principal Component Regression (PCR), were developed for the simultaneous estimation of sofosbuvir and daclatasvir dihydrochloride in tablet formulation. Full factorial design was used to construct calibration set as well as validation set. Twenty five mixed solutions were prepared for calibration set and sixteen mixed solution of drugs were prepared for validation set. The absorbance of all prepared solutions was measured in the range of 230 nm to 335 nm at 16 wavelength points at an interval of 7 nm. Linearity was observed in the range of 10 – 90 µg/mL for sofosbuvir and 4 - 20 µg/mL for daclatasvir dihydrochloride. The developed chemometric methods were validated in terms of precision and accuracy as per ICH guidelines. The developed methods can be applied for the routine quantitative analysis of formulation.

DEVELOPMENT AND VALIDATION OF A CHEMOMETRICS ASSISTED SPECTROSCOPIC METHOD FOR THE SIMULTANEOUS ESTIMATION OF GALLIC ACID, ELLAGIC ACID AND CURCUMIN IN POLYHERBAL ANTIDIABETIC FORMULATIONS

INDIAN DRUGS ◽  
2019 ◽  
Vol 56 (06) ◽  
pp. 67-73
Author(s):  
M. A Shah ◽  
◽  
H. U. Patel ◽  
H.A Raj
Keyword(s):  
Gallic Acid ◽  
Ellagic Acid ◽  
Spectroscopic Method ◽  
Least Square ◽  
Data Matrix ◽  
Simultaneous Estimation ◽  
Chemometric Methods ◽  
Mixed Solutions ◽  
Validation Set ◽  
Development And Validation

Two chemometric methods, Inverse Least Square (ILS) and Classical Least Square (CLS), were applied for the simultaneous estimation of gallic acid, ellagic acid and curcumin in polyherbal antidiabetic formulation. Twenty mixed solutions were prepared for the chemometric calibration as training set and 10 mixed solutions were prepared as validation set. The absorbance data matrix was obtained by measuring the absorbance at 20 different wavelengths, from 241 to 279 nm with the interval of 2 nm (Δλ= 2 nm). The developed calibrations were successfully tested for three antidiabetic polyherbal formulations for their gallic acid, ellagic acid and curcumin contents. Developed methods were validated and root mean square error of precision (RMSEP) was determined. Both chemometric methods in this study can be satisfactorily used for the quantitative analysis in polyherbal dosage forms. The chemometric calculations were performed by using the chemometrics toolbox with MATLAB R2015a software.

SIMULTANEOUS ESTIMATION OF EMITRICITABINE, EFAVIRENZ, TENOFOVIR DISPROXIL FUMARATE BY CHEMOMETRY AND REVERSE PHASE-HIGH PERFORMANCE LIQUID CHROMATOGRAPHY

INDIAN DRUGS ◽  
2016 ◽  
Vol 53 (06) ◽  
pp. 62-69
Author(s):  
G. Ramya Kumari ◽  
◽  
N. C Deepika ◽  
Krishnamurthy Bhat
Keyword(s):  
High Performance ◽  
Ultra Violet ◽  
Hplc Method ◽  
Tablet Formulation ◽  
Partial Least Square ◽  
Least Square ◽  
Ternary Mixtures ◽  
Data Matrix ◽  
Simultaneous Estimation ◽  
Tenofovir Df

A chemometric ultra-violet spectrophotometric method of analysis, Partial Least Square (PLS) method was applied to simultaneous assay of emitricitrabine, efavirenz and tenofovir disoproxil fumarate (DF) in their combined dosage tablet formulation. For comparison of this chemometric method a HPLC method for simultaneous determination of emitricitabine, efavirenz and tenofovir DF in combination was developed. Twenty one mixed solutions were prepared for chemometric calibration set and twenty one ternary mixtures were prepared as validation sets. The absorbance data matrix for training set was obtained by recording absorbance within wavelength range 230-290 nm at 2nm intervals. The developed multivariate and HPLC methods were successfully tested for laboratory mixtures as well as commercial tablet formulation of emitricitrabine, efavirenz, tenofovir DF.

SIMULTANEOUS ESTIMATION OF TELMISARTAN, HYDROCHLOROTHIAZIDE AND AMLODIPINE BESYLATE IN TABLET PREPARATION BY CHEMOMETRIC ASSISTED SPECTROPHOTOMETRIC ANALYSIS

INDIAN DRUGS ◽  
2018 ◽  
Vol 55 (07) ◽  
pp. 59-66
Author(s):  
A. S Ghule ◽  
T. Thomas ◽  
M. Joseph ◽  
K. S. Navya Sree ◽  
K. Bhat
Keyword(s):  
Spectrophotometric Analysis ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Data Matrix ◽  
Simultaneous Estimation ◽  
Amlodipine Besylate ◽  
Mixed Solutions ◽  
Validation Set ◽  
Tablet Preparation

A chemometric method was developed by application of Partial Least Square regression to for the simultaneous estimation of telmisartan, hydrochlorothiazide and amlodipine besylate in tablet preparations. Calibration set was prepared considering seven sets; each set with twenty-four mixed solutions and twenty-one ternary mixed solutions, were prepared as a validation set. The absorbance data matrix for training set was obtained by recording absorbance within wavelength range 220-320 nm at 2nm intervals. The developed method was validated according to ICH Q2 (R1) guidelines and results were reported. The developed and validated multivariate method was successfully tested for laboratory mixtures as well as commercial tablet formulation of telmisartan, hydrochlorothiazide and amlodipine besylate.

scholarly journals Development and validation of chemometric assisted analytical methods for simultaneous estimation of Atorvastatin calcium and Aspirin in capsule dosage form

2019 ◽  
Vol 10 (3) ◽  
pp. 1692-1697
Author(s):  
Keerthisikha Palur ◽  
BharathiKoganti ◽  
Sreenivasa Charan Archakam
Keyword(s):  
Analytical Methods ◽  
Dosage Form ◽  
Hplc Method ◽  
Partial Least Square ◽  
Least Square ◽  
Partial Least Square Regression ◽  
Simultaneous Estimation ◽  
Uv Spectrophotometry ◽  
Atorvastatin Calcium ◽  
Rp Hplc

To develop two Chemometric-assisted analytical methods like UV spectrophotometry and RP-HPLC methods for the quantification of Atorvastatin calcium (ASC) and Aspirin (APN) in the capsule dosage form. Chemometric models used in UV spectrophotometry were Principal component regression model (PCRM) and Partial least-square regression (PLSR). Both the models were applied for the drugs in the calibration ranges of 4-20 and 30-150 μg/mL for ASC and APN respectively. Total of nineteen laboratory prepared mixtures were used for calibration and prediction set of the models. In addition, RP-HPLC method by using chemometric approach for was developed using C18 column at room temperature with a mobile phase of acetonitrile: methanol: triethylamine (53.1:11.9:35 v/v/v), pH- 3.0, with detection at 275 nm. PCRM and PLSR models were evaluated by statistical parameters and RP-HPLC method was optimized by using Response surface methodology. The developed methods like UV and RP-HPLC by using chemometrics showed almost similar results and both the methods can be used for their analysis.

Application of Near Infrared Spectroscopy in the Analysis of Printing Color Detection

2012 ◽  
Vol 262 ◽  
pp. 59-64
Author(s):  
Hong Wei Lu ◽  
Hong He ◽  
Jun Ji ◽  
Guo Qiang Liu ◽  
Ying Hu
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Partial Least Square ◽  
Least Square ◽  
Color Parameters ◽  
Detection Model ◽  
Color Detection ◽  
Validation Set

For the fast and exact detection of printing color, we combine the near infrared (NIR) spectroscopy technique with partial least square (PLS) to build the detection model of printing color. Applying the 144 samples of spectral curve which obtained by the near infrared spectroscopy randomly separated into calibration set and validation set, and base on the 120 calibration set data to establish the prediction model of printing color by PLS, then this model is employed for predicting the color of the 24 validation set. The RMSEC of the 24 blocks’ color parameters L*, a*, b*, E are 0.73, 2.26, 3.03 and 1.09 respectively; The RMSEP are 0.97, 2.77, 3.57 and 1.34 respectively. Those results tell that the NIR spectrum and blocks’ color parameters L*, a*, b*, E could accurately establish a quantitative regression model, applying such model also can accurately predict unknown samples, and the results approximate to the original reference data. The use of near infrared spectroscopy to detect the printed matter nondestructively is feasible, and lays the foundation for the further analysis and establishment of printing chroma model.

Development and Validation of RP-HPLC Method for the Simultaneous Estimation of Esomeprazole and Domperidone in Tablet Formulation

2016 ◽  
Vol 9 (5) ◽  
pp. 513
Author(s):  
Vitthal S. Hiwale ◽  
Sagar M. Bhangale ◽  
Sachin S. Rane ◽  
Milind E. Chaudhari ◽  
Rajesh Y. Chaudhari ◽  
...  
Keyword(s):  
Hplc Method ◽  
Tablet Formulation ◽  
Simultaneous Estimation ◽  
Rp Hplc ◽  
Development And Validation
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