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.

scholarly journals MULTIVARIATE CALIBRATION TECHNIQUE FOR THE SPECTROPHOTOMETRIC QUANTIFICATION OF IVERMECTIN IN PHARMACEUTICAL FORMULATION

2019 ◽  
pp. 444-451
Author(s):  
MADHAN S ◽  
KAVITHA J ◽  
LAKSHMI KS
Keyword(s):  
Multivariate Calibration ◽  
Limit Of Detection ◽  
Pharmaceutical Formulation ◽  
Regression Equations ◽  
Calibration Technique ◽  
Experimental Conditions ◽  
Pharmaceutical Dosage Form ◽  
Ich Guidelines ◽  
Relative Standard ◽  
Interday Precision

Objective: The present abstract makes the use of multivariate calibration technique for the quantification of ivermectin in pharmaceutical dosage form. Methods: Multivariate calibration technique is based on the use of linear regression equations, by correlating the relation between concentration and absorbance at seven different selected wavelengths. The λmax of ivermectin was found to be 245 nm. The results were treated statistically. This statistical approach gives optimum results by eliminating the fluctuations arising from the instrumental or experimental conditions. Results: The developed method was validated as per the ICH guidelines and was found to be simple, linear, accurate, precise, and reproducible. The method was found to be linear over a concentration range of 5–15 μg/mL with a correlation coefficient (r2) value of about 0.9998. The limit of detection and quantification were found to be 0.029 and 0.087 μg/mL, respectively. The percentage relative standard deviation for intraday and interday precision was found to be in the range of 0.473–1.373 and 0.301–1.617, respectively. The percentage recovery was found within the range of 97.60–101.80% w/w. Conclusion: The results evidence that a simple, linear, precise, accurate, sensitive, and reproducible multivariate calibration technique has been developed and validated for the quantification of ivermectin in bulk and pharmaceutical formulation.

scholarly journals PENGARUH UPAH, INVESTASI, DAN PERTUMBUHAN EKONOMI TERHADAP PERMINTAAN TENAGA KERJA DI KABUPATEN/KOTA SUMATERA BARAT

Jurnal Ecogen ◽  
2019 ◽  
Vol 2 (3) ◽  
pp. 553
Author(s):  
Putri Maya ◽  
Yulhendri Yulhendri
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Regression Coefficient ◽  
Labor Demand ◽  
Secondary Data ◽  
Regression Method ◽  
Dominant Factor ◽  
Panel Regression ◽  
West Sumatra ◽  
Observation Period

Abstract:  One indicator used to measure economic development is employment. The huge population growth each year will certainly have an impact on increasing the number of the workforce and will certainly give meaning that the number of people looking for work will increase, along with that the workforce will also increase. This study aims to analyze the effect of wages, investment and economic growth on labor demand in West Sumatra. This study uses secondary data in the form of time series with an observation period of 2013-2017. Data obtained from the Central Statistics Agency (BPS), data analysis using the panel regression method with the program eviews. The results of this study include wages that negatively and significantly affect labor demand in West Sumatra. While investment and economic growth have a positive and significant effect on labor demand in West Sumatra. And the most dominant factor influencing labor demand in West Sumatra is the Economic Growth factor where the factor has the greatest regression coefficient among other factorsKeywords: labor, wages, investment, economic growth

Accuracy of the Multiple-Regression Method for Estimating Population-Density in Strip Transects

1986 ◽  
Vol 13 (2) ◽  
pp. 121 ◽  
Author(s):  
J Hone
Keyword(s):  
Population Density ◽  
Multiple Regression ◽  
Robust Estimation ◽  
Aerial Survey ◽  
Regression Method ◽  
Regression Equations ◽  
Regression Analyses ◽  
True Density ◽  
Balanced Design ◽  
Multiple Regression Method

Two experiments examined the accuracy of the multiple regression method for estimating population density. In experiment I , in a balanced design, an observer counted objectsin simulated strip transects. Multiple regression analyses yielded accurate estimates when true density was low, and overestimated density when true density was high. Regression equations calculated at each level of true density varied from linear to quadratic. A simple polynomial model accurately estimated true density. In experiment 2 an aerial survey of sheep showed that estimated density was highly significantly (P <0.001) different from true density. The results suggest that greater use should be made of established criteria for robust estimation of true density in transect studies.

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