Capabilities of a Supramolecular System Based on Hexamolybdenum Cluster Complexes in the Determination of Amitriptyline in Human Urine Using Amperometric Immunosenors

• Published in: Journal of analytical chemistry (New York, N.Y.) Vol. 79; no. 6; pp. 726 - 732
• Main Authors: Brusnitsyn, D. V., Medyantseva, E. P., Ramazanova, A. N., Prytkova, A. V., Karimova, E. R., Elistratova, Yu. G., Mustafina, A. R., Sokolov, M. N., Eremin, S. A., Mukhametova, L. I.
• Format: Journal Article
• Language: English
• Published: Moscow Pleiades Publishing 01.06.2024; Springer Nature B.V
• Subjects: Analytical Chemistry; Antidepressants; Chemistry; Chemistry and Materials Science; Chitosan; Clusters; Composite materials; Electrical measurement; Graphene; Human wastes; Immunoassay; Immunosensors; Photon correlation spectroscopy; Systematic errors; Urine; immunosensor; antibodies; molybdenum cluster complexes; tricyclic antidepressants
• ISSN: 1061-9348; 1608-3199
• DOI: 10.1134/S1061934824700102

A method for the determination of amitriptyline, a tricyclic antidepressant, in human urine by immunosensors has been developed using supramolecular systems based on hexamolybdenum cluster complexes. These complexes have electrochemical activity and give a stable analytical signal, which was used in the development of amperometric immunosensors. Luminescence and dynamic light scattering methods were used to demonstrate the formation of a supramolecular system of self-organized hexamolybdenum nanoparticles and chitosan molecules. A composite material based on hexamolybdenum cluster complexes in combination with reduced graphene oxide has been developed. The working range of amitriptyline concentrations to be determined by an amperometric immunosensor was 1 × 10 –9 –1 × 10 –4 M, the limit of determination was at a level of 5 × 10 –10 M, and the amitriptyline content of urine samples was at a level of ( n – 7) × 10 –8 M. A comparison of the results of analysis performed using an amperometric immunosensor and a fluorescence polarization immunoassay showed the absence of significant systematic errors. The ability to determine amitriptyline in biological fluids makes it possible to select an optimal therapeutic dose of the drug, that is, to develop approaches to creating personalized medicine.