scholarly journals Multivariate analytical methods for simultaneous estimation of Atenolol and Hydrochlorothiazide in bulk and tablet dosage form

2021 ◽  
Vol 6 (4) ◽  
pp. 205-208
Author(s):  
Sreenivasa Charan Archakam ◽  
Keerthisikha Palur ◽  
Praveen Kumar Arava
Keyword(s):  
Linear Regression ◽  
Matrix Method ◽  
Linear Regression Analysis ◽  
Molar Absorptivity ◽  
Simultaneous Estimation ◽  
Linear Regression Method ◽  
Spectrophotometric Methods ◽  
The Matrix ◽  
Ft Ir ◽  
Tablet Dosage

The present study aimed to develop simple, accurate and precise FTIR and UV spectrophotometric methods for the quantification of Atenolol and Hydrochlorothiazide in bulk and tablet dosage forms. FT-IR method like classical least squares (CLS) was developed within the range of 2366.69-3433.44; 1564.40-1673.30 cm- UV methods like Cramer’s matrix method (method-I) and linear regression analysis (Method II) were developed and they are based upon constructing the matrix set by using molar absorptivity values at 275.60 nm and 270.40 nm. The assay values for FTIR- CLS method were 102% and 108 % for Atenololand Hydrochlorothiazide respectively. Cramer’s matrix method results were found to be 95.15% and 104% for Atenolol and Hydrochlorothiazide respectively and for linear regression method they were found to be 98.50% and 106% (w/w).

scholarly journals Simultaneous Estimation of Domperidone and Pantoprazole in Solid Dosage Form by UV Spectrophotometry

2006 ◽  
Vol 3 (3) ◽  
pp. 142-145
Author(s):  
P. Ravi Kumar ◽  
P. Bhanu Prakash ◽  
M. Murali Krishna ◽  
M. Santha Yadav ◽  
C. Asha Deepthi
Keyword(s):  
Simultaneous Equation ◽  
Simultaneous Equations ◽  
Simultaneous Estimation ◽  
Uv Spectrophotometry ◽  
Q Value ◽  
Value Analysis ◽  
Spectrophotometric Methods ◽  
Solid Dosage ◽  
Tablet Dosage

Domperidone is an antiemetic and pantoprazole is an antiulcer drug. Simple, precise, rapid and selective simultaneous equation and Q- analysis UV spectrophotometric methods have been developed for the simultaneous determination of domperidone and pantoprazole from combined tablet dosage forms. The methods involve solving of simultaneous equations and Q-value analysis based on measurement absorptivity at 216, 287 and 290 nm respectively. Linearity lies between 1-15 mcg/mL for domperidone and 0-50 mcg/mL for pantoprazole.

scholarly journals Linear and Non-linear Regression Analysis for the Adsorption Kinetics of SO2 in a Fixed Carbon Bed Reactor – A Case Study

2021 ◽  
Author(s):  
Anna M. Kisiela-Czajka ◽  
Bartosz Dziejarski
Keyword(s):  
Linear Regression ◽  
Activated Carbons ◽  
Coal Dust ◽  
Linear Regression Analysis ◽  
Heterogeneous Surface ◽  
Hard Coal ◽  
Linear Regression Method ◽  
Order Kinetic ◽  
Lignite Fly Ash ◽  
Non Linear

Kinetic parameters of SO2 adsorption on unburned carbons from lignite fly ash and activated carbons based on hard coal dust were determined. The model studies were performed using the linear and non-linear regression method for the following models: pseudo first and second-order, intraparticle diffusion, and chemisorption on a heterogeneous surface. The quality of the fitting of a given model to empirical data was assessed based on: R2, R, Δq, SSE, ARE, χ2, HYBRID, MPSD, EABS, and SNE. It was clearly shown that it is the linear regression that more accurately reflects the behaviour of the adsorption system, which is consistent with the first-order kinetic reaction – for activated carbons (SO2+Ar) or chemisorption on a heterogeneous surface – for unburned carbons (SO2+Ar and SO2+Ar+H2O(g)+O2) and activated carbons (SO2+Ar+H2O(g)+O2). Importantly, usually, each of the approaches (linear/non-linear) indicated a different mechanism of the studied phenomenon. A certain universality of the χ2 and HYBRID functions has been proved, the minimization of which repeatedly led to the lowest SNE values for the indicated models. Fitting data by any of the non-linear equations based on the R or R2 functions only, cannot be treated as evidence/prerequisite of the existence of a given adsorption mechanism.

scholarly journals The Influence of Leadership, Organization Behavior, Compensation, And Work Discipline on Employee Performance in Non-Production Departments PT. Team Metal Indonesia

2019 ◽  
Vol 1 (4) ◽  
pp. 13-17
Author(s):  
Rejeki Bangun ◽  
Sri Langgeng Ratnasari ◽  
Lukmanul Hakim
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Quantitative Research ◽  
Employee Performance ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Linear Regression Method ◽  
Organization Behavior ◽  
Simultaneous Test ◽  
Simultaneous Influence

This research is to get information about leadership, organization behavior, compensation, work discipline and four factors to employee performance in Non-Production Department PT. Team Metal Indonesia. This research used a questionnaire for 94 respondents and used SPSS version 20. This research is quantitative research, statistics analysis. Multiple Linear Regression method with quantitative analysis. Based on SPSS data analysis, the researcher got the result Multiple Linear Regression analysis to leadership (X1) is 2.071 with significant 0.041, organization behavior (X2) is 0.817 with significant 0.416, compensation (X3) is -0.726  with significant 0.470 and work discipline (X4) is 2.985 with significant number 0.004. Result of the simultaneous test (F test) 8.083. Conclusion for this research are first hypothesis leadership has influence to employee performance, second hypothesis organization behavior has influence on employee performance but not significant, third hypothesis compensation has influence to employee performance but not significant, fourth hypothesis work discipline has partial influence to employee performance and last hypothesis that these four variables (leadership, organization behavior, compensation, and work discipline) have simultaneous influence on employee performance

scholarly journals Pengaruh Kinerja Keuangan Terhadap Return Saham Dengan Menjadikan Kebijakan Dividen Sebagai Variabel Moderate Pada Perusahaan Yang Terdaftar Di Jakarta Islamic Indeks ( JII 2007 – 2011)

2017 ◽  
Vol 13 (1) ◽  
Author(s):  
Angga Kurniawan
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Financial Performance ◽  
Multiple Linear Regression ◽  
Stock Returns ◽  
Stock Return ◽  
Dividend Policy ◽  
Linear Regression Analysis ◽  
Linear Regression Method ◽  
Total Turnover

The company's financial performance is one of the factors seen by investors as a consideration to invest funds in a company by making the financial statements as a source of information. Good and bad corporate performance can show how much profit can be earned each year and will have an impact on management in setting dividend policy for investors. This study was conducted to determine the effect of financial performance on stock returns by making dividend policy as a moderate variable. Objects taken in this study amounted to 7 companies listed on the Jakarta Islamic Index (JII) for 5 consecutive years from 2007-2011. Dependent variable of this research is stock return, independent variable include Current Ratio, Return on Asset, Return on Equity, Debt to Equity Ratio, and Total Turnover Asset, while dividend policy (Dividend Payout Ratio) as moderate variable. The method used in this study is Multiple Linear Regression Method and Moderate Regression Analysis Method (Moderate Regrestion Analysis).Based on the results of multiple linear regression analysis seen from the value of significance shows that CR, ROA, ROE, and DER does not significantly influence the stock return, whereas TATO shows the result that there is a significant influence on stock return. The result of moderate regression analysis shows that the dividend policy is not able to moderate the effect of financial performance on stock return. Keywords: Financial performance (CR, ROA, ROE, DER, TATO), stock return, dividend policy (DPR).

scholarly journals Simultaneous Spectrophotometric Estimation and Validation of Domperidone, Tramadol Hydrochloride and Acetaminophen in Tablet Dosage Form

2011 ◽  
Vol 3 (1) ◽  
pp. 28-33
Author(s):  
Vikas Jain ◽  
Rajesh Sharma
Keyword(s):  
Component Analysis ◽  
Solvent Mixture ◽  
Simultaneous Equation ◽  
Pharmaceutical Products ◽  
Equation Method ◽  
Simultaneous Estimation ◽  
Tramadol Hydrochloride ◽  
Spectrophotometric Methods ◽  
Ich Guidelines ◽  
Tablet Dosage

Simultaneous estimation of active ingredients in multi-component pharmaceutical products normally requires the use of separation techniques, such as HPLC, HPTLC or GC, followed by their quantitation. Presented here are two spectrophotometric methods that do not require prior separation for simultaneous estimation of three drugs; acetaminophen, tramadol hydrochloride and domperidone in a tablet formulation. Shimadzu UV 1700 capable of multi-component analysis was used for quantitation. Method A is based on the simultaneous equation and method B on the multi-component analysis. The absorption maxima of the drugs found to be at 244nm, 271.5nm and 284.5nm respectively for acetaminophen, tramadol hydrochloride and domperidone in methanol/0.1 N HCl (1:2) solvent mixture. Acetaminophen, tramadol hydrochloride and domperidone obeyed Beer's law in the concentration range of 2-22 μg/ml, 10-55 μg/ml and 30-300 μg/ml respectively. The simultaneous equation method is based on the additivity of absorbances and multi-component analysis involves recording of absorbances of standard solutions at 244nm, 250nm, 271.5nm and 284.5nm. These were processed by means of statistical calculations and results of sample solution were obtained. Result of analysis for both methods were tested and validated for various parameters according to ICH guidelines. Key Words: simultaneous equation method; multicomponent analysis; acetaminophen; tramadol hydrochloride; domperidone. DOI: 10.3329/sjps.v3i1.2655S. J. Pharm. Sci. 3(1): 28-33

IMPACTS OF BUILDING FUNCTION ON NORMALIZED-STEAM CONSUMPTION: ANALYSIS OF FLOOR AREA NORMALIZATION VERSUS LINEAR REGRESSION ON HEATING DEGREE-DAYS IN A HEATING-DOMINATED CLIMATE

2021 ◽  
Vol 16 (3) ◽  
pp. 73-85
Author(s):  
Mahsa Farid Mohajer ◽  
Ajla Aksamija
Keyword(s):  
Linear Regression ◽  
Linear Regression Analysis ◽  
Hot Water ◽  
Linear Regression Method ◽  
Degree Days ◽  
Steam Consumption ◽  
Energy Data ◽  
Floor Area ◽  
Scientific Experiments ◽  
Heating Degree Days

ABSTRACT Linear regression analysis is one the most common methods for weather-normalizing energy data, where energy versus degree-days is plotted, quantifying the impacts of outside temperature on buildings’ energy use. However, this approach solely considers dry-bulb temperature, while other climate variables are ignored. In addition, depending on buildings’ internal loads, weather impact can be less influential, making the linear regression method not applicable for energy data normalization in internally driven buildings (such as research laboratory buildings, healthcare facilities, etc.). In this study, several existing buildings from different categories, all located on the University of Massachusetts Amherst campus and exposed to the same weather conditions in a heating-dominated climate, were analyzed. For all cases, regression of monthly steam use on heating degree-days and floor-area normalized steam data were used, investigating applicability of the former when the latter changes. It was found that internal loads can skew steam consumption, depending on the building functionality, making the effect of degree-days negligible. For laboratory-type buildings, besides heating and domestic hot water production, steam is also used for scientific experiments. Here, daily occupancy percentage, even during weekends and holidays, was higher than that of other buildings, indicating the intensity of scientific experiments performed. This significantly impacted steam consumption, resulting in higher floor-area-normalized steam usage. In these cases, steam use did not provide an outstanding correlation to heating degree-days. Whereas, for cases with other functionality-types and lower floor-area normalized steam, coefficients of determination in regressions were high. This study concludes that even for buildings located in the same climate, depending on how building functionality and occupancy schedule influence floor-area normalized steam use, multivariate linear regression can provide more accurate analysis, rather than simple linear regression of steam on heating degree-days.

NEW SENSITIVE UV SPECTROPHOTOMETRIC METHODS FOR SIMULTANEOUS ESTIMATION OF ZIDOVUDINE AND LAMIVUDINE IN FIXED DOSE COMBINATION

INDIAN DRUGS ◽  
2015 ◽  
Vol 52 (03) ◽  
pp. 28-33
Author(s):  
A Chauhan ◽  
◽  
P.K Arora ◽  
R Nagpal ◽  
D Duggal ◽  
...  
Keyword(s):  
Wave Length ◽  
Estimation Method ◽  
Simultaneous Equation ◽  
Fixed Dose Combination ◽  
Fixed Dose ◽  
Simultaneous Estimation ◽  
Spectrophotometric Methods ◽  
Ich Guidelines ◽  
Dose Combination ◽  
Tablet Dosage

Two new, simple, accurate and sensitive UV spectrophotometric methods have been developed and subsequently validated for the simultaneous estimation of zidovudine and lamivudine in a fixed dose combination. Zidovudine and lamivudine have an absorption maxima at 267.3 nm and 272.3 nm respectively. The first method is based upon the simultaneous equation and second upon the determination of Q value. The simultaneous estimation method is based upon the measurements of ratios of absorptivity and absorbance, of both the components at their absorption maxima. The method of Q analysis is based on the measurement of ratios of absorptivity and absorbance, of both components at two selected wavelengths; one is an isoabsorptive point i.e. 270.1 nm and other being the wave length maxima of any of the two components, say λmax of zidovudine i.e. 267.3 nm. Both zidovudine and lamivudine shows linearity over the concentration range of 4-12 ppm at their respective absorption maxima and at isoabsorptive point. The assay and recovery studies from fixed dose combination as tablet dosage form are indicative of accuracy of the proposed methods. The developed methods were validated in accordance to International Conference on Harmonization (ICH) guidelines for linearity, range, accuracy and precision.

scholarly journals Synthesis of a new organic probe 4-(4 acetamidophenylazo) pyrogallol for spectrophotometric determination of Bi(III) and Al(III) in pharmaceutical samples

2021 ◽  
Vol 40 (1) ◽  
pp. 108-126
Author(s):  
Jumana W. Ammar ◽  
Zainab A. Khan ◽  
Marwa N. Ghazi ◽  
Naser A. Naser
Keyword(s):  
Pharmaceutical Formulations ◽  
Molar Absorptivity ◽  
Scanning Calorimetry ◽  
Spectrophotometric Methods ◽  
Modern Development ◽  
Relative Standard ◽  
Visible Spectra ◽  
Ft Ir ◽  
Linear Solvation Energy

Abstract A modern development discusses the synthesis and validity of simple, sensitive, and versatile spectrophotometric methods for Bi(III) and Al(III) determination in pharmaceutical formulations have been conducted. In the present paper, 4-(4 acetamidophenylazo) pyrogallol has been synthesized as a new organic compound, 4-APAP, by coupling pyrogallol in a regulated pH medium with diazotized p-aminoacetanilide. 4-APAP was identified by methods of FT-IR, 1H-NMR, 13C-NMR, and thermal analysis (thermogravimetry and differential scanning calorimetry). Solvatochromic activity was also studied in solvents with different polarities. The Kamlet and Taft linear solvation energy relationship was used to correlate shifts in UV-Visible spectra of 4-APAP with Kamlet-Taft parameters (α, β, and π*). The optimum assay conditions showed linearity from 0.3–13 to 0.5–11 μg·mL−1 for Bi(III) and Al(III), respectively. Molar absorptivity values were 3.365 × 104 and 0.356 × 104 L·mol−1·cm−1 for Bi(III) and Al(III), with similar Sandell's sensitivity measures of 0.006 and 0.008 μg·cm−2. Detection limits and quantification limits were 0.013 and 0.043 μg·mL−1 for Bi(III), respectively, and 0.018 and 0.059 μg·mL−1 for Al(III) with the relative standard deviation for determination of both metal ions using 4-APAP probe being <2.0%. The validity, accuracy, and efficiency of the approaches were demonstrated by the determination of Bi(III) and Al(III) in different formulations.

scholarly journals UV Spectrophotometric Methods to Quantify Alogliptin Benzoate and Pioglitazone Hydrochloride

2021 ◽  
pp. 31-41
Author(s):  
Dhanya B. Sen ◽  
Ashim K. Sen ◽  
Aarti S. Zanwar ◽  
Harshita Pandey ◽  
Rajesh A. Maheshwari
Keyword(s):  
Limit Of Detection ◽  
Spectroscopic Method ◽  
Simultaneous Estimation ◽  
Control Analysis ◽  
Limit Of Quantification ◽  
Spectrophotometric Methods ◽  
First Derivative ◽  
Ich Guidelines ◽  
The Difference ◽  
Tablet Dosage

Three new, precise, accurate and sensitive UV-Spectrophotometric methods namely Ratio Difference Spectroscopic Method (RDSM), First Derivative of Ratio Spectra Method (DR1) and Area Under Curve Method (AUC) were developed and validated for simultaneous assessment of alogliptin benzoate (ALO) and pioglitazone hydrochloride (PIO) in tablet dosage form. In RDSM, ratio spectra of both the drugs were recorded by dividing the mixtures using interfering drug as divisor. Then the difference between the amplitudes of obtained ratio spectra was measured at 288 and 291 nm for ALO and 236 and 245 nm for PIO. The second method DR1, where the first derivative of ratio spectra of both the drugs were recorded and the first derivative signal was measured at 290 nm for ALO and 276.8 nm for PIO. The scaling factor was fixed as 1 and wavelength interval (Δλ) as 2 for recording the first derivative of ratio spectra.  In the third method (AUC), peak area of recorded zero order spectra was measured at 276 ± 10 nm for ALO and 267.8 ± 10 nm for PIO. All three proposed methods were validated according to “International Conference on Harmonization” (ICH) guidelines parameters. For all three methods, ALO and PIO obeyed Beer’s law in the range of 0.5-5 & 1.8-18 µg/ml, respectively. The % RSD of repeatability of measurement, intra-day and inter-day precision were found to be less than 2 for all three methods. Limit of detection (LOD) and Limit of quantification (LOQ) of the drugs were calculated which proved the sensitivity of the methods. The accuracy ranged between 98-101% for all three methods. No interference from pharmaceutical excipients present in the formulation was observed.  These proposed methods were found to be simple, sensitive, accurate and precise and can be applied to the simultaneous estimation of ALO and PIO in combined tablet formulation and also appropriate for routine quality control analysis.

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