Samineh Mohammadzadeh Abachi
1,2 
, Homa Rezaei
2,3, Maryam Khoubnasabjafari
4,5, Vahid Jouyban-Gharamaleki
6, Elaheh Rahimpour
1,7* , Abolghasem Jouyban
1,81 Pharmaceutical Analysis Research Center and Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
2 Student Research Committee, Faculty of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
3 Drug Applied Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
4 Tuberculosis and Lung Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
5 Department of Anesthesiology and Intensive Care, Faculty of Medicine, Tabriz University of Medical Sciences, Tabriz, Iran.
6 Kimia Idea Pardaz Azarbayjan (KIPA) Science Based Company, Tabriz University of Medical Sciences, Tabriz, Iran.
7 Infectious and Tropical Diseases Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
8 Food and Drug Safety Research Center, Tabriz University of Medical Sciences, Tabriz, Iran.
Abstract
Background: According to the poison center data for most countries, more than thousands of people’s exposure to aspirin or salicylate-containing products. So, this work aimed was to offer a rapid colorimetric method for monitoring aspirin concentration in exhaled breath condensate (EBC).
Methods: A method based on a redox reaction catalyzed by nanoparticles was validated for the analysis of aspirin. 3,3 ,5,5 –Tetramethyl benzidine /H2 O2 and sodium dodecyl sulfate modified silver nanoparticles were used as the redox reagents and catalyst, respectively.
Results: Detection mechanism of aspirin using this system is based on the inhibitory effect of aspirin on the signal intensity of the colorimetric systems. Since the decrement in signal intensity was proportional to aspirin level, a colorimetric method was proposed for its quantification in EBC samples. This method shows a linear relationship with aspirin concentration in the range of 10‒250 mg.L−1 with a relative standard deviation of < 3.5%.
Conclusion: This method has great potential for aspirin determination due to some features such as high reliability, and fast response time.