A clever evaluation of the antidiabetic medications linagliptin and empagliflozin in bulk and spiked urine samples
Abstract
BACKGROUND: The objective of this research is to provide differential pulse voltammetry (DPV) method that is an ingenious, simple, sensitive, and selective method for the quantitative analysis of linagliptin and empagliflozin in spiked human urine samples. Faster analysis times and the use of small sample volumes are great advantages of DPV.
RESEARCH DESIGN AND METHODS: Before centrifuging the samples for 5 min at 3000 rpm, methanol was added to precipitate and remove any suspended compounds. As a working electrode, glassy carbon electrode (GCE) was employed. The auxiliary electrode was a platinum electrode, while the reference electrode was Ag|AgCl|KCl(sat.). To maximize the experimental conditions for simultaneous determination, the relationship between the current, pH and scan rate was examined.
RESULTS: Optimal conditions for quantitative determination were obtained in a phosphate buffer (PB) at pH 7. Plotting LIN and EMP concentrations against the DPV peak height revealed good linearity. It was found that the linear ranges for LIN and EMP were 10-90 and 10-70 µM, respectively.
CONCLUSIONS: This approach has been designed for effectively estimating the levels of examined drugs in human urine without matrix effect. The obtained results showed a good recovery values of both drugs.
Read the paper
Related studies
- Strategy for Mitigating DKA Risk in Patients with Type 1 Diabetes on Adjunctive Treatment with SGLT Inhibitors: A STICH Protocol
- Glucoraphanin: a broccoli sprout extract that ameliorates obesity-induced inflammation and insulin resistance
- SGLT2 Inhibitors in Heart Failure: Targeted Metabolomics and Energetic Metabolism
- Mechanisms of blood pressure reduction with sodium-glucose co-transporter 2 (SGLT2) inhibitors
- Sodium-glucose cotransporter inhibitors: beyond glycaemic control
- Decoding the effects of SGLT2 inhibitors on cardiac arrhythmias in heart failure
Go deeper in Evidence Hub
Evidence Hub adds a study data sheet (design, sample size, evidence level, key numbers), an AI summary and a chat grounded in the paper's text.