| Relation: |
https://www.fsjour.com/jour/article/view/146/170; Monthly Coffee Market Report (2020/21). International coffee organization. Retrieved from https://ico.org/documents/cy2020–21/cmr-0921-e.pdf Accessed December 11, 2021; Тищенко, Е. А., Цюпко, Т. Г., Милевская, В. В., Темердашев, А. З. (2017). Идентификация и хроматографическое определение биоактивных компонентов в образцах растворимого кофе. Аналитика и контроль, 21(3), 251–261. https://doi.org/10.15826/analitika.2017.21.3.008; Гунар, Л. Э., Коваленко, А. С., Захаров, А. С. (2017). Методы идентификации, оценки качества и безопасности натурального молотого кофе: монография. — М.: Изд-во РГАУ-МСХА, 2017. — 111 с.; Метленкин, Д. А., Платов, Ю. Т., Платова, Р. А., Рубцов, А. Е., Михайлова, А. М. (2021). Идентификация кофе в зернах методами Фурье ИК‑спектроскопии и многомерного анализа. Известия высших учебных заведений. Пищевая технология, 5–6(383–384), 92–97. https://doi.org/10.26297/0579–3009.2021.5–6.17; Sharma, H. A. (2020). A detail chemistry of coffee and its analysis. Chapter in book: Coffee-production and research. https://doi.org/10.5772/intechopen.91725; Gopinandhan, T. N., Banakar, M., Ashwini, M. S., Basavaraj, K. (2014). A comparative study on caffeine estimation in coffee samples by different methods. International Journal of Current Research in Chemistry and Pharmaceutical Sciences, 1(8), 4–8. https://doi.org/10.13140/RG.2.2.11561.44644; Яшин, А. Я. (2014). ВЭЖХ фенольных кислот — антиоксидантов с амперометрическим детектированием. Сорбционные и хроматографические процессы, 14 (3), 419–427.; Зайнулин, Р. А., Кунакова, Р. В., Егорова, Е. Ю. (2015). Кофе, кофеин и генетика человека. Пиво и напитки, 6, 50–54.; Зачем растениям кофеин? Электронный ресурс https://leplants.ru/events/zachem-rasteniyam-kofein/ Дата обращения 25.11.2021; Кофеин — приманка для пчел, улучшающая их память. Электронный ресурс: https://www.agroxxi.ru/zhurnal-agromir-xxi/stati-rastenievodstvo/kofein-primanka-dlja-pchel-uluchshayuschaja-ih-pamjat.html Дата обращения 25.11.2021; Антохин, А. М., Таранченко, В. Ф., Василевский, С. В., Аксенов, А. В., Аксенова, Ю. Б., Кузнецова, О. В. и др. (2016). Определение географического региона произрастания кофейных зерен методом газовой хроматографии в сочетании с изотопной масс-спектрометрией. Массспектрометрия, 13(3), 176–182.; Arai, K., Terashima, H., Aizawa, S.-I., Taga A., Yamamoto A., Tsutsumiuchi K. et al. (2015). Simultaneous determination of trigonelline, caffeine, chlorogenic acid and their related compounds in instant coffee samples by HPLC using an acidic mobile phase containing octanesulfonate. Analytical Science, 31(8), 831–835. https://doi.org/10.2116/analsci.31.831; Casal, S., Oliveira, M. B. P. P., Alves, M. R., Ferreira, M. A. (2000). Discriminate Analysis of Roasted Coffee Varieties for Trigonelline, Nicotinic Acid, and Caffeine Content. Journal of Agricultural and Food Chemistry, 48(8), 3420–3424. https://doi.org/10.1021/jf990702b; Ky, C.-L., Louarn, J., Dussert, S., Guyot, B., Hamon, S., Noirot, M. (2001). Caffeine, trigonelline, chlorogenic acids and sucrose diversity in wild Coffea Arabica L. and C. canephora P. accessions. Food Chemistry, 75(2), 223–230. https://doi.org/10.1016/S0308–8146(01)00204–7; Tfouni, S. A. V., Carreiro, L. B., Teles, C. R. A., Furlani, R. P. Z., Cipolli, K. M. V. A. B., Camargo M. C. R. (2014). Caffeine and chlorogenic acids intake from coffee brew: Influence of roasting degree and brewing procedure. International Journal of Food Science and Technology, 49(3), 747–752. https://doi.org/10.1111/IJFS.12361; Farah, A., De Paulis, T., Trugo, L. C., Martin, P. R. (2005). Effect of roasting on the formation of chlorogenic acid lactones in coffee. Journal of Agricultural and Food Chemistry, 53(5), 1505–1513. https://doi.org/10.1021/jf048701t; Casal, S., Beatriz Oliveira, M., Ferreira, M. A. (2000). HPLC/diode-array applied to the thermal degradation of trigonelline, nicotinic acid and caffeine in coffee. Food Chemistry, 68(4), 481–485. https://doi.org/10.1016/S0308–8146(99)00228–9; Bicho, N., Leitão, A., Ramalho, J., Lidon, F. C. (2011). Identication of chemical clusters discriminators of the roast degree in Arabica and Robusta coffee beans. European Food Research and Technology, 233(2), 303–311. https://doi.org/10.1007/S00217–011–1518–5; Nuhu, A. A. (2014). Bioactive Micronutrients in Coffee: Recent Analytical Approaches for Characterization and Quantification. International Scholarly Research Notices, 2014, Article 384230. https://doi.org/10.1155/2014/384230; Belay, A. (2011). Some biochemical compounds in coffee beans and methods developed for their analysis. International Journal of Physical Sciences, 6(28), 6373–6378. https://doi.org/10.5897/IJPS11.486; Patil, P. N. (2012). Caffeine in various samples and their analysis with HPLC-a review. International Journal of Pharmaceutical Sciences Review and Research, 16(2), 76–83.; Weckerle, B., Richling, E., Heinrich, S., Schreier, P. (2002). Origin assessment of green coffee “Coffea Arabica” by multi-element stable isotope analysis of caffeine. Analytical and Bioanalytical Chemistry, 374(5), 886–890. https://doi.org/10.1007/s00216–002–1560-z; Наумова, В. В. (2012). Информационная фальсификация кофе. Бюллетень медицинских интернет-конференций, 2(2), 66.; Оганесянц, Л. А., Панасюк, А. Л., Кузьмина, Е. И., Свиридов, Д. А. (2019). Использование современных инструментальных методов анализа с целью установления географического места происхождения винодельческой продукции. Пиво и напитки, 4, 59–64. https://doi.org/10.24411/2072–9650–2019–10002; Оганесянц, Л. А., Панасюк, А. Л., Кузьмина, Е. И., Яланецкий, А. Я., Загоруйко, В. А. (2017). Вариация отношений изотопов углерода этанола вин в зависимости от географического положения виноградников. Магарач. Виноградарство и виноделие, 4, 38–40.; Оганесянц, Л. А., Панасюк, А. Л., Кузьмина, Е. И., Зякун, А. М. (2013). Определение экзогенной воды в винах методом изотопной массспектрометрии. Виноделие и виноградарство, 5, 19–21.; Свиридов, Д. А., Ганин, М. Ю., Шилкин, А. А. (2022). Использование метода изотопной масс-спектрометрии для установления места географического происхождения кофейных зерен. Актуальные проблемы техники, технологии и образования: сборник тезисов докладов III Национальной научно-практической конференции с международным участием (Керчь, 24–27 января), 85–88.; Свиридов, Д. А., Ганин, М. Ю., Шилкин, А. А. (2021). Использование отношений стабильных изотопов для идентификации географического происхождения чая. Актуальные проблемы техники, технологии и образования: сборник тезисов докладов II Национальной научно-практической конференции с международным участием (Керчь, 25–28 января), 17–20.; Горбунова, Н. А. (2018). Возможности использования стабильных изотопов для идентификации географического происхождения мяса и мясных продуктов. Обзор. Теория и практика переработки мяса, 3(1), 46–58. https://doi.org/10.21323/2414–438X‑2018–3–1–46–58; Bontempo, L., Paolini, M., Franceschi, P., Ziller, L., García-González, D. L., Camin, F. (2019). Characterisation and attempted differentiation of European and extra-European olive oils using stable isotope ratio analysis. Food Chemistry, 276, 782–789. https://doi.org/10.1016/j.foodchem.2018.10.077; Camin, F, Larcher, R., Nicolini, G., Bontempo, L., Bertoldi, D., Perini, M. et al. (2010). Isotopic and elemental data for tracing the origin of European olive oils. Journal of Agriculture Food Chemistry, 58(1), 570–577. https://doi.org/10.1021/jf902814s; Portarena, S., Baldacchini, C., Brugnoli, E. (2017). Geographical discrimination of extra-virgin olive oils from the Italian coasts by combining stable isotope data and carotenoid content within a multivariate analysis. Food Chemistry, 215, 1–6. https://doi.org/10.1016/j.foodchem.2016.07.135; Camin, F., Dordevic, N., Wehrens, R., Neteler, M., Delucchi, L., Postma, G. et al. (2015). Climatic and geographical dependence of the H, C and O stable isotope ratios of Italian wine. Analytica Chimica Acta, 853(1), 384–390. https://doi.org/10.1016/j.aca.2014.09.049; Erasmus, S. W., Muller, M., Van Der Rijst, M., Hoffman, L. C. (2016). Stable isotope ratio analysis: A potential analytical tool for the authentication of South African lamb meat. Food Chemistry, 192, 997–1005. https://doi.org/10.1016/j.foodchem.2015.07.121; Nečemer, M., Potočnik, D., Ogrinc, N. (2016). Discrimination between Slovenian cow, goat and sheep milk and cheese according to geographical origin using a combination of elemental content and stable isotope data. Journal of Food Composition and Analysis, 52, 16–23. https://doi.org/10.1016/j.jfca.2016.07.002; Huang, J., Norgbey, E., Nkrumah, P.N., Appiah-Sefah, G., Michel, R. (2017). Elucidating the origin of milk products on the Chinese market using hydrogen and oxygen stable isotope technique. Integrative Food, Nutrition and Metabolism, 4(4). https://doi.org/10.15761/IFNM.1000184; Chung, I.-M., Kim, J.-K., Yang, Y.-J., An, Y.-J., Kim, S.-Y., Kwon, C. et al. (2020). A case study for geographical indication of organic milk in Korea using stable isotope ratios-based chemometric analysis. Food Control, 107, Article 106755. https://doi.org/10.1016/j.foodcont.2019.106755; Oganesyants L. A., Panasyuk A. L., Kuzmina E. I., Sviridov D. A. (2018). Modern analysis methods use in order to establish the geographic origin of food products. Food systems, 3(1), 4–9. https://doi.org/10.21323/2618–9771–2020–3–1–4–9; Jarosova, M., Milde, D., Kuba, M. (2014). Elemental analysis of coffee: A comparison of ICP-MS and AAS methods. Czech Journal of Food Sciences, 32(4), 354–359. https://doi.org/10.17221/399/2013-cjfs; Worku, M., Upadhayay, H. R., Latruwe, K., Taylor, A., Blake, W., Vanhaecke, F. et al. (2019). Differentiating the geographical origin of Ethiopian coffee using XRF- and ICP‑based multi-element and stable isotope profiling. Food Chemistry, 290, 295–307. https://doi.org/10.1016/j.foodchem.2019.03.135; Carter, J. F., Yates H. S., Tinggi U. (2015). Isotopic and elemental composition of roasted coffee as a guide to authenticity and origin. Journal of Agricultural and Food Chemistry, 63(24), 5771–5779. https://doi.org/10.1021/acs.jafc.5b01526; Peng, C.-Y., Zhang, Y.-L., Song, W., Cai, H.-M., Wanga, Y., Granato, D. (2019) Characterization of Brazilian coffee based on isotope ratio mass spectrometry (δ13C, δ18O, δ2 H, and δ15N) and supervised chemometrics. Food Chemistry, 297, Article 124963. https://doi.org/10.1016/j.foodchem.2019.124963; Liu, H.-C., You, C.-F., Chen, C.-Y., Liu, Y.-C., Chung, M.-T. (2014). Geographic determination of coffee beans using multi-element analysis and isotope ratios of boron and strontium. Food Chemistry, 142, 439–445. https://doi.org/10.1016/j.foodchem.2013.07.082; Chemura, A., Mutanga, O., Dube, T. (2017). Separability of coffee leaf rust infection levels with machine learning methods at Sentinel-2 MSI spectral resolutions. Precision Agriculture, 18(5), 859–881. https://doi.org/10.1007/s11119–016–9495–0; Parraga-Alava, J., Cusme, K., Loor, A., Santander, E. (2019). RoCoLe: A robusta coffee leaf images dataset for evaluation of machine learning based methods in plant diseases recognition. Data in Brief, 25, Article 104414. https://doi.org/10.1016/j.dib.2019.104414; Chemura, A., Mutanga, O., Sibanda, M., Chidoko, P. (2018). Machine learning prediction of coffee rust severity on leaves using spectroradiometer data. Tropical Plant Pathology, 43, 117–127. https://doi.org/10.1007/s40858–017–0187–8; Tridawati, A., Wikantika, K., Susantoro, T. M., Harto, A. B., Darmawan, S., Yayusman, L. F. et al. (2020). Mapping the distribution of coffee plantations from multi-resolution, multi-temporal, and multi-sensor data using a random forest algorithm remote sens. Remote Sensing, 12(23), Article 3933. https://doi.org/10.3390/rs12233933; Marin, D. B., Ferraz, G. A. S., Guimarães, P. H. S., Schwerz, F., Santana, L. S., Barbosa, B. D. S. et al. (2021). Remotely piloted aircraft and random forest in the evaluation of the spatial variability of foliar nitrogen in coffee crop. Remote sensing, 13(8), Article 1471. https://doi.org/10.3390/rs13081471; Schipilliti, L., Bonaccorsi, I., Buglia, A. G., Mondello, L. (2019). Comprehensive Isotopic Data Evaluation (CIDE) of carbon isotope ratios for quality assessment and traceability of coffee. Food Analytical Methods, 12, 121–127. https://doi.org/10.1007/s12161–018–1344–5; Serra, F., Guillou, C. G., Reniero, F., Ballarin, L., Cantagallo, M. I., Wieser, M. et al. (2005). Determination of the geographical origin of green coffee by principal component analysis of carbon, nitrogen and boron stable isotope ratios. Rapid communications in mass spectrometry, 19(15), 2111–2115. https://doi.org/10.1002/rcm.2034; Rodrigues, C. I., Maia, R., Miranda, M., Ribeirinho, M., Nogueira, J. M. F., Maguas, C. (2009). Stable isotope analysis for green coffee bean: A possible method for geographic origin discrimination. Journal of Food Composition and Analysis, 22(5), 463–471. https://doi.org/10.1016/j.jfca.2008.06.010; Rodrigues, C. I., Maguas, C., Prohaska, T. (2011). Strontium and oxygen isotope fingerprinting of green coffee beans and its potential to proof authentication of coffee. European Food Research and Technology, 232(2), 361–373. https://doi.org/10.1007/s00217–010–1362-z; Bowen, G. J. (2020). The online isotopes in precipitation calculator version 3.1. Retrieved from http://www.waterisotopes.org Accesed November 10, 2021; Rodrigues, C., Brunner, M., Steiman, S., Bowen, G. J., Nogueira, J. M. F., Gautz, L. et al. (2011). Isotopes as tracers of the Hawaiian coffee-producing regions. Journal of Agricultural and Food Chemistry, 59(18), 10239– 10246. https://doi.org/10.1021/jf200788p; Weigt, M., Brodie, C., Kracht, O. (2017). EA-IRMS: Tracing the geographical origin of coffee using isotope fingerprints. Thermo Fisher Scientific. Retrieved from https://assets.thermofisher.com/TFS-Assets/CMD/Application-Notes/AN-30427-EA-IRMS-Hydrogen-Oxygen-Coffee-AN30427-EN.pdf Accesed December 11, 2021; Santato, A., Bertoldi, D., Perini, M., Camin, F., Larcher, R. (2012). Using elemental profiles and stable isotopes to trace the origin of green coffee beans on the global market. Journal of Mass Spectrometry, 47(9), 1132–1140. https://doi.org/10.1002/jms.3018; Rodrigues, C., Maia, R., Maguas, C. (2013). The application of isotope ratio mass spectrometry to the study of the ecophysiology of plant seeds. Spectroscopy Europe, 25(1), 12–18.; https://www.fsjour.com/jour/article/view/146 |