Abstract
Aliskiren (AL) is classified as angiotensin converting enzyme inhibitors (ACEIs) used as antihypertensive drug it acts by dilating blood vessel. These dilation of blood vessel caused due to the renin inhibition. There have been numerous methods developed so far for quantitative estimation of AL in bulk and pharmaceutical dosage form. Pharmaceutical analytical methods include UV Visible Spectrophotometry, Reversed Phase High Performance Liquid Chromatography and hyphenated techniques like Liquid chromatography- Mass Spectrometry. This review paper includes various publications focuses on advanced analytical methods. The chromatographic methods primarily RP-HPLC and LC-MS found more promising and sensitive compared to other pharmaceutical methods.
Highlights
Nita Yadav [7] et al has been reported a reverse phase high performance liquid chromatographic method for the estimation of Aliskiren in tablet dosage form with LC system used consists of pump (Model Shimadzu; LC-10 AT VP)
Satish Babu [8] et al has developed a reverse phase high performance liquid chromatographic method for the estimation of Aliskiren in tablet dosage form with HPLC from Shimadzu, equipped with a quaternary pump and a thermostat column jacket for maintaining ambient temperature during chromatographic separation was used for analysis
The method was developed by using a mixture of acetonitrile–n-butylamine 100:0.1(v/v) as a mobile phase with a flow rate maintained at 1.0 mL/min with column used was a Chiralpak-IC (250 × 4.6 mm) with 5-μ particles
Summary
It was approved by the U.S Food and Drug. Administration in for the treatment of hypertension [https://www.drugbank.ca/drugs/DB09026/Last accessed on28/01/2020]. Aliskiren is a direct renin inhibitor, decreasing plasma renin activity (PRA) and inhibiting the conversion of angiotensinogen to angiotensin I (Ang I) [https://www.drugbank.ca/drugs/DB09026/ Last accessed on28/01/2020, 1]. It is used for the treatment of mild to moderate hypertension. The estimation of a drug is to a great extent important in complex matrices because the pharmaceutical product quality is directly associated to patient wellbeing. Analytical methods play a key role in the drug development and pharmaceutical control, to ensure a high efficacy and safety for patients [2]
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