<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3.dtd">
<article article-type="research-article" dtd-version="1.3" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xml:lang="ru"><front><journal-meta><journal-id journal-id-type="publisher-id">veterinary</journal-id><journal-title-group><journal-title xml:lang="ru">Ветеринария сегодня</journal-title><trans-title-group xml:lang="en"><trans-title>Veterinary Science Today</trans-title></trans-title-group></journal-title-group><issn pub-type="ppub">2304-196X</issn><issn pub-type="epub">2658-6959</issn><publisher><publisher-name>"Veinard"</publisher-name></publisher></journal-meta><article-meta><article-id custom-type="elpub" pub-id-type="custom">veterinary-296</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research Article</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="ru"><subject>ПИЩЕВАЯ БЕЗОПАСНОСТЬ</subject></subj-group><subj-group subj-group-type="section-heading" xml:lang="en"><subject>FOOD SAFETY</subject></subj-group></article-categories><title-group><article-title></article-title><trans-title-group xml:lang="en"><trans-title>ASSESSMENT OF POSSIBLE USE OF CARBON ISOTOPE RATIOS IN AMINO ACIDS FOR MEAT PRODUCT GEOGRAPHICAL ORIGIN IDENTIFICATION</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Solovyev</surname><given-names>A. I.</given-names></name></name-alternatives><email xlink:type="simple">solovev_ai@arriah.ru</email><xref ref-type="aff" rid="aff-1"/></contrib><contrib contrib-type="author" corresp="yes"><name-alternatives><name name-style="western" xml:lang="en"><surname>Podkolzin</surname><given-names>I. V.</given-names></name></name-alternatives><email xlink:type="simple">podkolzin@arriah.ru</email><xref ref-type="aff" rid="aff-1"/></contrib></contrib-group><aff xml:lang="en" id="aff-1"><institution>FGBI "ARRIAH", Vladimir</institution><country>Russian Federation</country></aff><pub-date pub-type="collection"><year>2017</year></pub-date><pub-date pub-type="epub"><day>02</day><month>04</month><year>2018</year></pub-date><volume>0</volume><issue>2</issue><fpage>10</fpage><lpage>12</lpage><permissions><copyright-statement>Copyright &amp;#x00A9; Solovyev A.I., Podkolzin I.V., 2018</copyright-statement><copyright-year>2018</copyright-year><copyright-holder xml:lang="ru">Solovyev A.I., Podkolzin I.V.</copyright-holder><copyright-holder xml:lang="en">Solovyev A.I., Podkolzin I.V.</copyright-holder><license xml:lang="ru" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>Данная работа распространяется под лицензией Creative Commons Attribution 4.0.</license-p></license><license xml:lang="en" license-type="creative-commons-attribution" xlink:href="https://creativecommons.org/licenses/by/4.0/" xlink:type="simple"><license-p>This work is licensed under a Creative Commons Attribution 4.0 License.</license-p></license></permissions><self-uri xlink:href="https://veterinary.arriah.ru/jour/article/view/296">https://veterinary.arriah.ru/jour/article/view/296</self-uri><trans-abstract xml:lang="en"><p>Possible use of compound-specific isotope analysis (GC-C-IRMS) was assessed using 255 meat samples from 24 countries. Upon results of isotope ratio (δ13C) determination in amino acids after gas chromatographic separation samples were classified using Support Vector Machines and linear discriminate analysis. Prognosis accuracy was 65-75%. Despite the fact that the use of compound analysis only provides low identification accuracy there's a possibility to considerably increase reliability of classification in combination with other data by means of extending dimension by the number of variables.</p></trans-abstract><kwd-group xml:lang="ru"><kwd>mass-spectrometry</kwd><kwd>identification</kwd><kwd>isotopic relations</kwd><kwd>GC-C-IRMS</kwd></kwd-group></article-meta></front><back><ref-list><title>References</title><ref id="cit1"><label>1</label><citation-alternatives><mixed-citation xml:lang="ru">Amrani A., Sessions A. L., Adkins J. F. Compound-Specific 534S Analysis of Volatile Organics by Coupled GC/Multicollector-ICPMS // Anal. Chem. - 2009. - Vol. 81, № 21. - P. 9027-9034; doi:10.1021/ac9016538.</mixed-citation><mixed-citation xml:lang="en">Amrani A., Sessions A. L., Adkins J. F. Compound-Specific 534S Analysis of Volatile Organics by Coupled GC/Multicollector-ICPMS // Anal. Chem. - 2009. - Vol. 81, № 21. - P. 9027-9034; doi:10.1021/ac9016538.</mixed-citation></citation-alternatives></ref><ref id="cit2"><label>2</label><citation-alternatives><mixed-citation xml:lang="ru">Characterisation of milk by analysis of its terpene fractions / C. Fernandez, C. Astier, E. Rock [et al.] // Int. J. Food Sci. Tech. - 2003. - Vol. 38. - P. 445-451.</mixed-citation><mixed-citation xml:lang="en">Characterisation of milk by analysis of its terpene fractions / C. Fernandez, C. Astier, E. Rock [et al.] // Int. J. Food Sci. Tech. - 2003. - Vol. 38. - P. 445-451.</mixed-citation></citation-alternatives></ref><ref id="cit3"><label>3</label><citation-alternatives><mixed-citation xml:lang="ru">High-precision continuous-flow isotope ratio mass spectrometry / J. T. Brenna, T. N. Corso, H. J. Tobias, R. J. Caimi // Mass Spectrom. Rev. - 1988. - Vol. 16, № 5. -P. 227-258.</mixed-citation><mixed-citation xml:lang="en">High-precision continuous-flow isotope ratio mass spectrometry / J. T. Brenna, T. N. Corso, H. J. Tobias, R. J. Caimi // Mass Spectrom. Rev. - 1988. - Vol. 16, № 5. -P. 227-258.</mixed-citation></citation-alternatives></ref><ref id="cit4"><label>4</label><citation-alternatives><mixed-citation xml:lang="ru">Hofmann D., Gehre M., Jung K. Sample preparation techniques for the determination of natural 15 N/14 N variations in amino acids by gas chromatography-com-bustion-isotope ratio mass spectrometry (GC-C-IRMS) // Isot. Environ. Healt. S. - 2003. - Vol. 39, № 3. - P. 233-244.</mixed-citation><mixed-citation xml:lang="en">Hofmann D., Gehre M., Jung K. Sample preparation techniques for the determination of natural 15 N/14 N variations in amino acids by gas chromatography-com-bustion-isotope ratio mass spectrometry (GC-C-IRMS) // Isot. Environ. Healt. S. - 2003. - Vol. 39, № 3. - P. 233-244.</mixed-citation></citation-alternatives></ref><ref id="cit5"><label>5</label><citation-alternatives><mixed-citation xml:lang="ru">Kelly S., Heaton K., Hoogewerff J. Tracing the geographical origin of food: The application of multi-element and multi-isotope analysis // Trends Food Sci. Tech. -2005. - Vol. 16, № 12. - P. 555-567.</mixed-citation><mixed-citation xml:lang="en">Kelly S., Heaton K., Hoogewerff J. Tracing the geographical origin of food: The application of multi-element and multi-isotope analysis // Trends Food Sci. Tech. -2005. - Vol. 16, № 12. - P. 555-567.</mixed-citation></citation-alternatives></ref><ref id="cit6"><label>6</label><citation-alternatives><mixed-citation xml:lang="ru">Package for Kernel Methods in {R} / A. Karatzoglou, A. Smola, K. Hornik, A. Zeileis // J. Stat. Softw. - 2004. -Vol. 11, № 9; doi:10.18637/jss.v011.i09.</mixed-citation><mixed-citation xml:lang="en">Package for Kernel Methods in {R} / A. Karatzoglou, A. Smola, K. Hornik, A. Zeileis // J. Stat. Softw. - 2004. -Vol. 11, № 9; doi:10.18637/jss.v011.i09.</mixed-citation></citation-alternatives></ref><ref id="cit7"><label>7</label><citation-alternatives><mixed-citation xml:lang="ru">Luykx D. M. A. M., van Ruth S. M. An overview of analytical methods for determining the geographical origin of food products // Food Chem. - 2008. - Vol. 107, № 2. -P. 897-911.</mixed-citation><mixed-citation xml:lang="en">Luykx D. M. A. M., van Ruth S. M. An overview of analytical methods for determining the geographical origin of food products // Food Chem. - 2008. - Vol. 107, № 2. -P. 897-911.</mixed-citation></citation-alternatives></ref><ref id="cit8"><label>8</label><citation-alternatives><mixed-citation xml:lang="ru">Meier-Augenstein W. Stable isotope analysis of fatty acids by gas chromatography-isotope ratio mass spectrometry // Anal. Chim. Acta. - 2002. - Vol. 465, № 1-2. -P. 63-79.</mixed-citation><mixed-citation xml:lang="en">Meier-Augenstein W. Stable isotope analysis of fatty acids by gas chromatography-isotope ratio mass spectrometry // Anal. Chim. Acta. - 2002. - Vol. 465, № 1-2. -P. 63-79.</mixed-citation></citation-alternatives></ref><ref id="cit9"><label>9</label><citation-alternatives><mixed-citation xml:lang="ru">Modern Applied Statistics with S / ed. W. N. Venables, B. D. Ripley. - 4th ed. - New York: Springer, 2002. - URL: http://www.stats.ox.ac.uk/pub/MASS4.</mixed-citation><mixed-citation xml:lang="en">Modern Applied Statistics with S / ed. W. N. Venables, B. D. Ripley. - 4th ed. - New York: Springer, 2002. - URL: http://www.stats.ox.ac.uk/pub/MASS4.</mixed-citation></citation-alternatives></ref><ref id="cit10"><label>10</label><citation-alternatives><mixed-citation xml:lang="ru">Package 'caret': Classification and Regression Training / M. Kuhn [et al.]. - 2016. - URL: http://cran.r-project. org/package=caret.</mixed-citation><mixed-citation xml:lang="en">Package 'caret': Classification and Regression Training / M. Kuhn [et al.]. - 2016. - URL: http://cran.r-project. org/package=caret.</mixed-citation></citation-alternatives></ref><ref id="cit11"><label>11</label><citation-alternatives><mixed-citation xml:lang="ru">Package 'e1071': Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien / D. Meyer [et al.]. - 2017. - URL: https://CRAN.R-project.org/package=e1071.</mixed-citation><mixed-citation xml:lang="en">Package 'e1071': Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien / D. Meyer [et al.]. - 2017. - URL: https://CRAN.R-project.org/package=e1071.</mixed-citation></citation-alternatives></ref><ref id="cit12"><label>12</label><citation-alternatives><mixed-citation xml:lang="ru">pROC: an open-source package for R and S+ to analyze and compare ROC curves / X. Robin [et al.] // BMC Bioinformatics. - 2011. - Vol. 12:77; doi:10.1186/1471-2105-12-77.</mixed-citation><mixed-citation xml:lang="en">pROC: an open-source package for R and S+ to analyze and compare ROC curves / X. Robin [et al.] // BMC Bioinformatics. - 2011. - Vol. 12:77; doi:10.1186/1471-2105-12-77.</mixed-citation></citation-alternatives></ref><ref id="cit13"><label>13</label><citation-alternatives><mixed-citation xml:lang="ru">Relationships between flavoring capabilities, bacterial composition, and geographical origin of natural whey cultures used for traditional waterbuffalo mozzarella cheese manufacture / G. Mauriello, L. Moio, A. Genovese, D. Ercolini // J. Dairy Sci. - 2003. - Vol. 86. -P. 486-497.</mixed-citation><mixed-citation xml:lang="en">Relationships between flavoring capabilities, bacterial composition, and geographical origin of natural whey cultures used for traditional waterbuffalo mozzarella cheese manufacture / G. Mauriello, L. Moio, A. Genovese, D. Ercolini // J. Dairy Sci. - 2003. - Vol. 86. -P. 486-497.</mixed-citation></citation-alternatives></ref><ref id="cit14"><label>14</label><citation-alternatives><mixed-citation xml:lang="ru">Sarkar D. Lattice: Multivariate Data Visualization with R. - New York: Springer, 2008. - 273 p. - URL: http://lmdvr.r-forge.r-project.org.</mixed-citation><mixed-citation xml:lang="en">Sarkar D. Lattice: Multivariate Data Visualization with R. - New York: Springer, 2008. - 273 p. - URL: http://lmdvr.r-forge.r-project.org.</mixed-citation></citation-alternatives></ref><ref id="cit15"><label>15</label><citation-alternatives><mixed-citation xml:lang="ru">Wickham H. ggplot2: Elegant Graphics for Data Analysis (Use R!). - New York: Springer, 2009. - URL: http://doi.org/10.1007/978-0-387-98141-3.</mixed-citation><mixed-citation xml:lang="en">Wickham H. ggplot2: Elegant Graphics for Data Analysis (Use R!). - New York: Springer, 2009. - URL: http://doi.org/10.1007/978-0-387-98141-3.</mixed-citation></citation-alternatives></ref></ref-list><fn-group><fn fn-type="conflict"><p>The authors declare that there are no conflicts of interest present.</p></fn></fn-group></back></article>
