Digital Colorimetry in Pharmaceutical Analysis and Food Control

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Abstract

The article discusses the possibilities of using digital colorimetry in pharmaceutical analysis and in quality control and food safety using color – recording devices – scanners, webcams, digital cameras and smartphones. Digital colorimetric techniques are characterized by efficiency, low cost of a single analysis, and the possibility of using digital cameras and smartphones in non-laboratory conditions.

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About the authors

Oleg B. Rudakov

Voronezh State Technical University

Author for correspondence.
Email: robi57@mail.ru
ORCID iD: 0000-0003-2527-2857

Doctor of Chemical Sciences, Head of the Department of Chemistry and Chemical Technology of Materials

Russian Federation, Voronezh

Lyudmila V. Rudakova

Voronezh State Medical University named after N. N. Burdenko

Email: Vodoley65@mail.ru
ORCID iD: 0000-0001-8510-4404

Doctor of chemical sciences, Head of the Department of Pharma-ceutical Chemistry and Pharmaceutical Technology

Russian Federation, Voronezh

Mohamed Abboud

Voronezh State Technical University

Email: Mohamedabbod7777@gmail.com
ORCID iD: 0009-0007-1829-3365

Post-graduate student of the Department of Chemistry and Chemical Technology of Materials

Russian Federation, Voronezh

References

  1. Rudakov O. B., Rudakova L. V. Information Technologies in Analytical Control of Biological Active Substances. St-Petersburg: Lan’ Publ. 2022. 364 p.
  2. Apyari V. V., Gorbunova M. V., Isachenko A. I., et al. Use of Household Color Recording Devices in Quantitative Chemical Analysis. Journal of Analytical Chemistry. 2017. 72(11): 963–977.
  3. Chernousova O. V., Rudakov O. B. Digital Images in Analytical Chemistry for Quantitative and Qualitative Analysis. Himija, Fzika i Mehanika Materialov = Chemistry, Physics and Mechanics of Materials. 2019. 2: 55–125.
  4. Ljutov V. P., Chetverkin P. A., Golovastikov G. Ju. Color Science and Basics of Colorimetry. Moscow: Jurajt Publ. 2023. 224 с.
  5. Chernousova O. V., Rudakov O. B., Rudakov Ja. O. Colorimetric Determination of Sugar Color Using Mobile Devices. Doneckie Chtenija 2021: Obrazovanie, Nauka, Innovacii, Kul’tura i Vyzovy Sovremennosti: Materialy VI Mezhdunarodnoj Nauchnoj Konferencii, Donetsk, October 26–27, 2021. Vol. 1. Donetsk: Doneckij Nacional’nyj Universitet Publ. 2021. P. 182–184.
  6. Rudakova L. V., Vetrova E. N., Nikitina T. N., Alehina M. I. Opportunities of Digital Colorymetry in Pharmaceutical Analysis. Prikladnye informacionnye aspekty mediciny = Applied Information Aspects of Medicine. 2019. 22(3): 104–109.
  7. Rudakov O. B., Rudakova L. V. Digital Colorimetry in Quality Control of Dairy Products. Pererabotka Moloka = Milk Processing. 2018. 7(225): 40–43.
  8. Rudakov O. B., Korol'kova N.V., Poljanskij K. K., et al. Technochemical Control in the Technology of Fats and Fat Substitutes. St-Petersburg: Lan’ Publ. 2020. 576 p.
  9. Hripushin V. V., Rudakova L. V., Rudakov O. B., Bajdicheva O. V. Colorimetric Methods for Determining the Color Number of Vegetable Oils. Zavodskaja Laboratorija. Diagnostika Materialov = Factory laboratory. Diagnostics of Materials. 2008. 74(5): 9–13.
  10. Rudakov Ja.O., Mohamed A., Rudakov O. B., et al. Using a Smartphone to Control the Color Numbers of Vegetable Oils in Non-laboratory Conditions. Himija, Fizika i Mehanika Materialov = Chemistry, Physics and Mechanics of Materials. 2022. 1(32): 120–128.
  11. Rudakova L. V., Vetrova E. N., Rudakov Ja.O., Shevelev P. S. Colorimetric Alternative to Fluorimetry for Determination of Folic Acid. Vestnik Voronezhskogo gosudarstvennogo universiteta. Serija: Himija. Biologija. Farmacija = Bulletin of Voronezh State University. Series: Chemistry. Biology. Pharmacy. 2021. 2: 14–19.
  12. Bajdicheva O. V., Hripushin V. V., Rudakova L. V., Rudakov O. B. Colorimetric Quantitative Determination of Amino Acids and Glycylglycine in Aqueous Solutions. Pishhevaja Promyshlennost' = Food Industry. 2011. 10: 26–28.
  13. Alejnikov A. F., Pal’chikova I.G., Smirnov E. S. Assessment of the Quality of Poultry Meat Based on the Results of Analysis of Its Color Characteristics. Vychislitel“nye tehnologii = Computing Technologies. 2016. 21(S1): 27–40.
  14. Semenova I. N., Pelevina G. A., Surkova N. E., Rudakov O. B. Development of a Method for Controlling the Color of Animal Fats During a Comprehensive Assessment of Their Physical and Chemical Parameters. Masla i Zhiry = Oils and Fats. 2006. 2: 3–4.
  15. Sakata R., Takeda S., Vaga M. Research to Reduce Nitrite and Nitrate Use in Meat Products by Adding Natural Salt and Carbon Monoxide. Teorija i Praktika Pererabotki Mjasa = Theory and Practice of Meat Processing. 2017. 4: 35–43.
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  17. Pchelkina V. A. Possibility of Using an Image Analysis System in the Study of Meat Raw Materials and Products. Tehnika i Tehnologija Pishhevyh Proizvodstv = EquipMent and Technology of Food Production. 2016. 43(4): 70–74.

Supplementary files

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2. Fig.1. Optical analysis methods

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3. Fig.2. Flat diagram of the additive RGB color space

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4. Fig.3. Relative whiteness of different drugs

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5. Fig.4. Variability of milk color components on the RGB scale for 7 tested milk samples (1–7), a sample of “standard milk” (8) and the values of the red, green and blue color components of ideal white color (9)

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6. Fig.5. Dependence of color parameters on the concentration of cyanocobalamin in solution

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7. Fig.6. Examples of radar diagrams for different amino acids

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8. Fig.7. Calibration graphs based on geometric parameters for DL-alanine solutions

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9. Fig.8. Radar diagram for insulin (products of biuret and ninhydrin reactions, C = 1.7–3.5 g/L)

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Copyright (c) 2024 Rudakov O.B., Rudakova L.V., Abboud M.

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