Test-Determination of Amoxicillin in Medications
Amoxicillin is a semi-synthetic aminopenicillin ?-lactam series with a wide spectrum of antibacterial activity against many gram-positive and gram-negative microorganisms. It is included in the list of essential drugs. Test systems for the detection and identification of amoxicillin are missing. We have obtained indicator papers with immobilized ninhydrin and p-dimethylaminobenzaldehyde for the test determination of amoxicillin. The reaction conditions were selected, depending on the temperature and time. Color scales for visual colorimetric and colorimetric determination were constructed. The values of color parameters were determined by RGB, CMYK, HSB color models, the optimal channels were selected for brightness,contrast and sensitivity. The linear dependencies of the chosen color parameters on the concentration of the antibiotic were constructed. Mathematical processing of test tools with the construction of radar charts in the coordinates of the color models R, G, B, C, M, Y, K was carried out. Linear dependencies of the parameters of the area, the perimeter of radar charts on the antibiotic concentration were obtained, allowing a quantitative assessment of the drug content. Based on the studies conducted, a simple, express method for determining the antibiotic in medicinal preparations was developed and tested. The technique was tested on two drugs in tablet form produced by Russian pharmeceutical companies.
1. Krylov Yu. F., Bobyrev V. M. Farmakologiya [Pharmacology]. Moscow, VUNMTs MZ RF, 1999. 352 p. (in Russian).
2. Arzamascev A. P. Farmacevticheskaya himiya [Pharmaceutical Chemistry]. Moscow, Geotar, Medicina Publ., 2004. 640 p. (in Russian).
3. Egorov N. S. Osnovy ucheniya ob antibiotikah [Fundamentals of antibiotic theory]. Moscow, Izd-vo MGU, Nauka Publ., 2004. 524 p. (in Russian).
4. Kulapina O. I., Kulapina E. G. Antibakterial’naya terapiya. Sovremennye metody opredeleniya antibiotikov v lekarstvennyh i biologicheskih sredah [Antibacterial therapy. Modern methods for the determination of antibiotics in medicinal and biological media]. Saratov, Saratovskiy istochnik Publ., 2015. 91 p. (in Russian).
5. Zolotov Yu. A., Ivanov V. M., Amelin V. G. Himicheskie test-metody analiza [Chemical test-methods of analysis]. Moscow, Editorial URSS, 2002. 304 p. (in Russian).
6. Shchetinin E. V., Sirak S. V., Baturin V. A., Sirak A. G., Ignatiadi O. N., Vafiadi M. Yu., Petrosyan G. G., Parazyan L. A., Dydov E. A., Arutyunov A. V., Tshovrebov A. Ch. Rezul’taty monitoringa potrebleniya protivomikrobnyh preparatov v ambulatornoy praktike [The results of monitoring the consumption of antimicrobial drugs in outpatient practice]. Medicinskiy vestnik Severnogo Kavkaza [Medical Journal of the North Caucasus], 2015, vol. 10, no. 1. P. 37. (in Russian). DOI: https://doi.org/10.14300/mnnc.2015.10013
7. Ob utverzhdenii perechnya zhiznenno neobhodimyh i vazhnejshih lekarstvennyh preparatov na 2018 g. Rasporyazhenie Pravitel’stva RF ot 23 oktyabrya 2017 g. No. 2323-r. [On Approval of the List of Essential and Essential Drugs for 2018. Decree of the Government of the Russian Federation of October 23, 2017. No. 2323-r.]. Moscow, 2017 (in Russian).
8. Gabidulina M. K., Govoruhin V. A., Doronin S. Yu., Kosyreva I. V., Li E. P., Marakaeva A. V., Takshaitova E. I. Programma dlya obrabotki cvetometricheskih parametrov test-sredstv v himicheskom analize [Program for processing colorimetric parameters of test- means in chemical analysis]. In: Komp’yuternye nauki i informacionnye tekhnologii. Materialy mezhdunar. nauch. konf. [Computer science and information technology. Materials of Intern. scientifi c conf.]. Saratov, ITs Nauka Publ., 2018, pp. 93–95 (in Russian).
9. Rudakova L. V., Rudakov O. B. Informacionnye tekhnologii v analiticheskom kontrole biologicheski aktivnyh veshchestv [Information technologies in the analytical control of biologically active substances]. St. Petersburg, Lan’ Publ., 2015. 361 p. (in Russian).
10. Romanova I. K. Sovremennye metody vizualizacii mnogomernyh dannyh analiz, klassifi kaciya, realizaciya, prilozheniya v tekhnicheskih sistemah [Modern methods of visualization of multidimensional data analysis, classifi cation, implementation, applications in technical systems]. Nauka i obrazovanie. MGTU im. N. E. Baumana. Elektron. zhurn. [Science and Education. MGTU them. N. E. Bauman. Electron. Journals], 2016, no. 3, pp. 133–167 (in Russian). DOI: https://doi.org/10.7463/0316.0834876
11. Scott D. W. Multivariate Density Estimation: Theory, Practice, and Visualization. New York, John Wiley & Sons, 2015. 365 p.
12. Hansen P. W. Pre-processing method minimizing the need for reference analyses. Journal of Chemometrics: A Journal of the Chemometrics Society, 2001, vol. 15, no. 2, pp. 123–131. DOI: https://doi.org/10.1002/1099-128X