Quantification of Suvorexant in Human Urine Using a Validated HPTLC Bioanalytical Method

© 2023 The Authors. Published by American Chemical Society..

Suvorexant (SUV) is a new sedative/hypnotic medicine that is recommended to treat insomnia. It is an important medicine from a forensic point of view due to its sedative/hypnotic and depressant effects. To the best of our knowledge, high-performance thin-layer chromatography (HPTLC) bioanalytical methods have not been published to measure SUV in human urine and pharmaceutical samples. Accordingly, this study was designed and validated a sensitive and rapid bioanalytical HPTLC method to determine SUV in human urine samples for the very first time. The densitometric measurement of SUV and the internal standard (IS; sildenafil) was performed on glass-coated silica gel normal-phase-60F254S TLC plates using a mixture of chloroform and methanol (97.5:2.5 v/v) as the eluent system. Both the SUV and IS were detected at a wavelength of 254 nm. Both analytes were extracted using the protein precipitation technique utilizing methanol as the solvent. For the IS and SUV, the Rf values were 0.09 and 0.45, respectively. The proposed bioanalytical method for SUV was linear in the 50-1600 ng/band range. The current bioanalytical technique was linear, precise (% RSD = 3.28-4.20), accurate (% recovery = 97.58-103.80), robust (% recovery = 95.31-102.34 and % RSD = 2.81-3.15), rapid, and sensitive (LOD = 3.73 ng/band and LOQ = 11.20 ng/band). These findings suggested that the current bioanalytical method can be regularly used to determine SUV in wide varieties of urine samples.

Medienart:

E-Artikel

Erscheinungsjahr:

2023

Erschienen:

2023

Enthalten in:

Zur Gesamtaufnahme - volume:8

Enthalten in:

ACS omega - 8(2023), 42 vom: 24. Okt., Seite 39928-39935

Sprache:

Englisch

Beteiligte Personen:

Alqarni, Mohammed H [VerfasserIn]
Iqbal, Muzaffar [VerfasserIn]
Foudah, Ahmed I [VerfasserIn]
Aljarba, Tariq M [VerfasserIn]
Abdel Bar, Fatma [VerfasserIn]
Alshehri, Sultan [VerfasserIn]
Shakeel, Faiyaz [VerfasserIn]
Alam, Prawez [VerfasserIn]

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Date Revised 31.10.2023

published: Electronic-eCollection

Citation Status PubMed-not-MEDLINE

doi:

10.1021/acsomega.3c07123

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM363935894