1821498-27-4 Usage
Description
C27H30FNO6, also known as (βR,δR)-3-Carboxy-5-(4-fluorophenyl)-β,δ-dihydroxy-2-(1-methylethyl)-4-phenyl-1H-Pyrrole-1-heptanoic Acid, is a complex organic compound with a unique molecular structure. It is characterized by its fluorophenyl group, dihydroxy pyrrole core, and a heptanoic acid chain, which contribute to its chemical properties and potential applications.
Uses
Used in Pharmaceutical Analysis:
C27H30FNO6 is used as a novel assay compound for determining the degradation of pharmaceutical tablets. This application is particularly relevant for assessing the stability and quality of medications over time.
Used in Quality Control of Medications:
In the pharmaceutical industry, C27H30FNO6 serves as a valuable tool for quality control, ensuring that tablets such as amlodipine besylate (AML) and atorvastatin calcium (ATV) maintain their intended properties and effectiveness.
C27H30FNO6 plays a crucial role in the development and monitoring of pharmaceutical products, contributing to the advancement of drug stability and efficacy assessments.
Check Digit Verification of cas no
The CAS Registry Mumber 1821498-27-4 includes 10 digits separated into 3 groups by hyphens. The first part of the number,starting from the left, has 7 digits, 1,8,2,1,4,9 and 8 respectively; the second part has 2 digits, 2 and 7 respectively.
Calculate Digit Verification of CAS Registry Number 1821498-27:
(9*1)+(8*8)+(7*2)+(6*1)+(5*4)+(4*9)+(3*8)+(2*2)+(1*7)=184
184 % 10 = 4
So 1821498-27-4 is a valid CAS Registry Number.
1821498-27-4Relevant articles and documents
Advanced stability indicating chemometric methods for quantitation of amlodipine and atorvastatin in their quinary mixture with acidic degradation products
Darwish, Hany W.,Hassan, Said A.,Salem, Maissa Y.,El-Zeany, Badr A.
, p. 58 - 66 (2016)
Two advanced, accurate and precise chemometric methods are developed for the simultaneous determination of amlodipine besylate (AML) and atorvastatin calcium (ATV) in the presence of their acidic degradation products in tablet dosage forms. The first method was Partial Least Squares (PLS-1) and the second was Artificial Neural Networks (ANN). PLS was compared to ANN models with and without variable selection procedure (genetic algorithm (GA)). For proper analysis, a 5-factor 5-level experimental design was established resulting in 25 mixtures containing different ratios of the interfering species. Fifteen mixtures were used as calibration set and the other ten mixtures were used as validation set to validate the prediction ability of the suggested models. The proposed methods were successfully applied to the analysis of pharmaceutical tablets containing AML and ATV. The methods indicated the ability of the mentioned models to solve the highly overlapped spectra of the quinary mixture, yet using inexpensive and easy to handle instruments like the UV-VIS spectrophotometer.
