Skip to content
2000
Volume 17, Issue 6
  • ISSN: 1573-4129
  • E-ISSN: 1875-676X

Abstract

Background: The illegal virtual market for food supplements facilitates fraud and adulteration. Worldwide concern for consumer safety is growing on the part regulatory agencies, healthcare professionals and consumers. Objective: This work aimed to evaluate the presence of sexual stimulants and anabolic steroids commonly used in the adulteration of dietary supplements through the development of a high performance liquid chromatography with the photodiode array detection (HPLC-DAD) method for the identification and quantification of these compounds. Methods: The mobile phase composed of an ammonium acetate solution, acetonitrile and methanol led to the efficient separation of vardenafil, testosterone base, testosterone propionate, tadalafil, sildenafil and yohimbine. Results: The assay was linear (r2> 0.999), precise (RSD% <0.5), accurate (99.1 to 105.2%), and the limits of detection and quantification were less than 0.05 and 0.15 μg/mL, respectively. Four samples of dietary supplements contained testosterone (n=1), tadalafil (n=2) and yohimbine (n=1) as adulterants. The adulterants found were in subtherapeutic doses, probably to reduce possible adverse effects and the action expected to appear natural. Since about 80% of adverse drug reactions are dose dependent, unpredictable adverse drug reactions are dose independent and based on idiosyncratic or allergic mechanisms or intolerance. Conclusion: The developed method is convenient and easily applicable for adulteration detection of the analyzed drugs in the multicomponent supplements.

Loading

Article metrics loading...

/content/journals/cpa/10.2174/1573412916999200415175325
2021-07-01
2025-08-18
Loading full text...

Full text loading...

/content/journals/cpa/10.2174/1573412916999200415175325
Loading
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error
Please enter a valid_number test