Practical Linear Regression-Based Method for Detection and Quantification of Stiction in Control Valves

2021 ◽  
Author(s):  
Seshu K. Damarla ◽  
Xi Sun ◽  
Fangwei Xu ◽  
Ashish Shah ◽  
Joseph Amalraj ◽  
...  
Keyword(s):  
Linear Regression ◽  
Control Valves ◽  
Detection And Quantification

scholarly journals Linearity study on detection and quantification limits for the determination of avermectins using linear regression

2014 ◽  
Vol 22 (4) ◽  
pp. 407-412 ◽  
Author(s):  
Rafidah Ismail ◽  
Hai Yen Lee ◽  
Nor Ainy Mahyudin ◽  
Fatimah Abu Bakar
Keyword(s):  
Linear Regression ◽  
Detection And Quantification

scholarly journals Development of Spectrophotometric Method for the Determination of Atenolol in Normoten Drug

2017 ◽  
Vol 9 (1) ◽  
pp. 58 ◽  
Author(s):  
Isam Eldin Hussein Elgailani ◽  
Tofeeg Haseen Alghamdi
Keyword(s):  
Linear Regression ◽  
Spectrophotometric Method ◽  
Acidic Medium ◽  
Antihypertensive Drugs ◽  
Pharmaceutical Formulations ◽  
Molar Absorptivity ◽  
Phenol Red ◽  
Regression Correlation ◽  
Detection And Quantification

This research aimed to develop inexpensive, safe, rapid, efficent spectrophotometric method for the assay of atenolol in some antihypertensive drugs namely Normoten in its pharmaceutical formulation. The studied method is depend on the reaction of the drug with phenol red in acidic medium, at pH 3.0. The analytical parameters have been investigated. The maximum absorbance was obtained at 429 nm and the molar absorptivity of 0.054 L mol-1 cm-1. Beer’s law is linear in the concentration range of 0.5-100 μg/mL for atenolol in Normoten. The detection and quantification limits were found to be 0.038 and 0.113μg/mL for the atenolol in Normoten respectively, and with a linear regression correlation coefficient of 0.997. The recovery was found to be 98.94 to 100.31%. The studied method is can be applied for the determination of atenolol (active ingredient) of the antihypertensive drugs in their pharmaceutical formulations.

Automatic detection and quantification of stiction in control valves

2006 ◽  
Vol 14 (12) ◽  
pp. 1395-1412 ◽  
Author(s):  
M.A.A. Shoukat Choudhury ◽  
S.L. Shah ◽  
N.F. Thornhill ◽  
David S. Shook
Keyword(s):  
Automatic Detection ◽  
Control Valves ◽  
Detection And Quantification

scholarly journals Comparison of Signal-to-Noise, Blank Determination, and Linear Regression Methods for the Estimation of Detection and Quantification Limits for Volatile Organic Compounds by Gas Chromatography

2009 ◽  
Vol 92 (6) ◽  
pp. 1833-1838 ◽  
Author(s):  
M Marsin Sanagi ◽  
Susie L Ling ◽  
Zalilah Nasir ◽  
Dadan Hermawan ◽  
Wan Aini Wan Ibrahim ◽  
...  
Keyword(s):  
Volatile Organic Compounds ◽  
Linear Regression ◽  
Organic Compounds ◽  
Method Validation ◽  
Experimental Methodology ◽  
Interlaboratory Comparisons ◽  
Signal To Noise ◽  
Regression Methods ◽  
Volatile Organic ◽  
Detection And Quantification

Abstract LOD and LOQ are two important performance characteristics in method validation. This work compares three methods based on the International Conference on Harmonization and EURACHEM guidelines, namely, signal-to-noise, blank determination, and linear regression, to estimate the LOD and LOQ for volatile organic compounds (VOCs) by experimental methodology using GC. Five VOCs, toluene, ethylbenzene, isopropylbenzene, n-propylbenzene, and styrene, were chosen for the experimental study. The results indicated that the estimated LODs and LOQs were not equivalent and could vary by a factor of 5 to 6 for the different methods. It is, therefore, essential to have a clearly described procedure for estimating the LOD and LOQ during method validation to allow interlaboratory comparisons.

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