X-Ray Fluorescence in Biological Sciences. Группа авторов
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3.8 Conclusion
The review showed that in recent years the XRF method has been frequently used to identify both basic and trace elements in tea and coffee, as it has some advantages over traditional analytical methods, which use pre‐treatment of sample material for analysis, which can contribute significantly to the total measurement error. The result of the determination is influenced by the utensils used to grind and prepare the material, water and brew time, and the chosen drying method. The chemical composition of the analyzed samples depends on the degree of fermentation, the grade of the material, the time of harvest, and the chemical composition of the soil in which the plant grew. It is worth noting that the limited set of standard samples makes it difficult to obtain accurate results, so additional analytical methods are desirable to monitor the accuracy of the determination results. Researchers, who used X‐ray spectrometers of different types, showed prospects for using XRF for this purpose. When analyzing the products in question with XRF, various methods were used to convert experimental intensities into the content of the elements to be determined: an external standard; background standard and fundamental parameters. Estimates of interelement effects on the intensity of analytical lines for tea, coffee and some plants are presented.
Tea leaves and coffee grains contain most of the elements necessary for human health. Researchers will have to do a lot of work to assess the contents of various elements in certain varieties of tea and coffee, to identify the dependence of their chemical composition on the influence of natural factors and to understand the mechanisms of influence on certain factors of human life.
References
1 1 Smichowski, P. and Londonio, A. (2018). The role of analytical techniques in the determination of metals and metalloids in dietary supplements: a review. Microchem. J. 136: 113–120.
2 2 Revenko, A.G. (2014). X‐ray fluorescence analysis of food products: its present and future [abstract]. In: Eur. Conf. on X‐Ray Spectrom., 82. Bologna, Italy.
3 3 Taylor, A., Barlow, N., Day, M.P. et al. (2019). Atomic spectrometry update: review of advances in the analysis of clinical and biological materials, foods and beverages. J. Anal. At. Spectrom 34 (3): 426–459.
4 4 Taylor, A., Catchpole, A., Day, M.P. et al. (2020). Atomic spectrometry update: review of advances in the analysis of clinical and biological materials, foods and beverages. J. Anal. At. Spectrom 35 (3): 426–454.
5 5 Revenko, A.G. (2000). X‐ray fluorescence analysis of biological samples. Ann. IB Komi SC UB RAS 28 (2): 14–16. (in Russian).
6 6 Revenko, A.G. (2013). X‐Ray fluorescence analysis of biological samples. In: Proceedings of 5th International Conference on Contemporary Physics, 175–197. Ulaanbaatar: University Press.
7 7 Revenko, A.G. and Khudonogova, E.V. (2014). X‐ray fluorescence analysis of food. In: Proc. 8th All‐Russian Conf. on XRF, 107. Russia: Irkutsk (in Russian).
8 8 Sharangi, A.B. (2009). Medicinal and therapeutic potentialities of tea (Camellia sinensis L.) – a review. Food Res. Int. 42: 529–535.
9 9 Iashin, I.I. and Iashin, А.I. (2010). The Chemical Composition of Tea and its Effect in Human Health. Moscow: TransLit Publishing (in Russian).
10 10 Toci, A.T., de Moura Ribeiro, M.V., de Toledo, P.R.A.B. et al. (2018). Fingerprint and authenticity roasted coffees by 1H‐NMR: the Brazilian coffee case. Food Sci. Biotechnol. 27: 19–26.
11 11 Haswell, S.J. and Walmsley, A.D. (1998). Multivariate data visualisation methods based on multi‐elemental analysis of wines and coffees using total reflection X‐ray fluorescence analysis. J. Anal. At. Spectrom 13: 131–134.
12 12 De La Calle, I., Costas, M., Cabaleiro, N. et al. (2013). Fast method for multielemental analysis of plants and discrimination according to the anatomical part by total reflection X‐ray fluorescence spectrometry. Food Chem. 138: 234–241.
13 13 Borgese, L., Bilo, F., Dalipi, R. et al. (2015). Total reflection X‐ray fluorescence as a tool for food screening. Spectrochim. Acta Part B 113 (1): 1–15.
14 14 Pashkova, G.V. and Revenko, A.G. (2015). A review of application of total reflection X‐ray fluorescence spectrometry to water analysis. Appl. Spectrosc. Rev. 50 (6): 443–473.
15 15 Revenko, A.G. and Sharykina, D.S. (2019). The application of X‐ray fluorescence analysis to research the chemical compositions of tea and coffee samples. Anal. Control 23 (1): 6–23. (in Russian).
16 16 Maltsev, A.S., von Bohlen, A., Yusupov, R.A., and Bakhteev, S.A. (2019). Evaluation of analytical capabilities of total reflection X‐ray fluorescence spectrometry for the analysis of drinks with sucrose matrix. Anal. Control 23 (4): 483–493.
17 17 Pashkova, G.V. (2009). X‐ray fluorescence determination of element contents in milk and dairy products. Food Anal. Methods 2: 303–310.
18 18 Pashkova, G.V., Smagunova, A.N., and Finkelshtein, A.L. (2018). X‐ray fluorescence analysis of milk and dairy products: a review. Tr. Anal. Chem. 106: 183–189.
19 19 McLeod, R.J., Garland, M., Hale, R.V. et al. (2013). Determining the most effective combination of chemical parameters for differentiating the geographic origin of food products: an example using coffee beans. J. Food Chem. Nutr. 01 (02): 49–61.
20 20 Marcos, A., Fisher, A., Rea, G., and Hill, S.J. (1998). Preliminary study using trace element concentrations and a chemometrics approach to determine the geographical origin of tea. J. Anal. At. Spectrom 13 (6): 521–525.
21 21 Fernández‐Cáceres, P.L., Martín, M.J., Pablos, F., and González, A.G. (2001). Differentiation of tea (Camellia sinensis) varieties and their geographical origin according to their metal content. J. Agric. Food Chem. 49 (10): 4775–4779.
22 22 Haytowitz, D.B., Pehrsson, P.R., and Holden, J.M. (2002). The identification of key foods for food composition research. J. Food Compos. Anal. 15 (2): 183–194.
23 23 Gonzalvez, A., Armenta, S., and De La Guardia, M. (2009). Trace‐element composition and stable‐isotope ratio for discrimination of foods with protected designation of origin. Tr. Anal. Chem. 28 (11): 1295–1311.
24 24 Armenta, S. and de la Guardia, M. (2016). Analytical approaches for the evaluation of food protected designation of origin. Eds. M. Espineira and F. Santaclara. In: Advances in Food Traceability Techniques and Technologies, 275–301. Woodhead Publishing.
25 25 Kamiloglu, S. (2019). Authenticity and traceability in beverages. Food Chem. 277: 12–24.
26 26 Worku, M., Upadhayay, H.R., and Latruwe, K. (2019). Differentiating the geographical origin of Ethiopian coffee using XRF‐ and ICP‐based multi‐element and stable isotope profiling. Food Chem. 290: 295–307.
27 27 Callao, M.P. and Ruisánchez, I. (2018). An overview of multivariate