The 15 references with contexts in paper A. Solovyev I., I. Podkolzin V. (2018) “ASSESSMENT OF POSSIBLE USE OF CARBON ISOTOPE RATIOS IN AMINO ACIDS FOR MEAT PRODUCT GEOGRAPHICAL ORIGIN IDENTIFICATION” / spz:neicon:veterinary:y:2017:i:2:p:10-12

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Amrani A., Sessions A. L., Adkins J. F. CompoundSpecific δ34S Analysis of Volatile Organics by Coupled GC/Multicollector-ICPMS // Anal. Chem. – 2009. – Vol. 81, No 21. – P. 9027-9034; doi:10.1021/ac9016538.
Total in-text references: 1
  1. In-text reference with the coordinate start=1456
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    GC-C-IRMS method is not widely spread in laboratory practice. There are only several examples of its successful use for determining carbon isotope ratios in fatty acids [8]. This approach was also extended for determining δ13N [4], δ18O, δ2H [3], and δ34S
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    [1]
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    . The purpose of this work was to assess the possibility of performing compound specific isotope analysis of amino acids by method based on gas chromatographic profiling followed by determination of carbon isotope ratios for meat geographic origin identification.

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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.
Total in-text references: 1
  1. In-text reference with the coordinate start=935
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    Different analytical methods widely used for food product origin identification have been currently developed. They are: isotopic ratio of light elements, element analysis, nuclear magnetic-resonance, chromatography profiling, near and mid infrared spectroscopy methods
    Exact
    [2, 7]
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    . Despite the fact that isotope-ratio mass spectrometry is a powerful method providing comprehensive information on geographic origin of the test object [5, 13], there are more publications on applying different combinations of specified above test methods.

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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, No 5. – P. 227-258.
Total in-text references: 1
  1. In-text reference with the coordinate start=1442
    Prefix
    GC-C-IRMS method is not widely spread in laboratory practice. There are only several examples of its successful use for determining carbon isotope ratios in fatty acids [8]. This approach was also extended for determining δ13N [4], δ18O, δ2H
    Exact
    [3]
    Suffix
    , and δ34S [1]. The purpose of this work was to assess the possibility of performing compound specific isotope analysis of amino acids by method based on gas chromatographic profiling followed by determination of carbon isotope ratios for meat geographic origin identification.

4
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-combustion-isotope ratio mass spectrometry (GC-C-IRMS) // Isot. Environ. Healt. S. – 2003. – Vol. 39, No 3. – P. 233-244.
Total in-text references: 1
  1. In-text reference with the coordinate start=1427
    Prefix
    GC-C-IRMS method is not widely spread in laboratory practice. There are only several examples of its successful use for determining carbon isotope ratios in fatty acids [8]. This approach was also extended for determining δ13N
    Exact
    [4]
    Suffix
    , δ18O, δ2H [3], and δ34S [1]. The purpose of this work was to assess the possibility of performing compound specific isotope analysis of amino acids by method based on gas chromatographic profiling followed by determination of carbon isotope ratios for meat geographic origin identification.

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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, No 12. – P. 555-567.
Total in-text references: 1
  1. In-text reference with the coordinate start=1093
    Prefix
    They are: isotopic ratio of light elements, element analysis, nuclear magnetic-resonance, chromatography profiling, near and mid infrared spectroscopy methods [2, 7]. Despite the fact that isotope-ratio mass spectrometry is a powerful method providing comprehensive information on geographic origin of the test object
    Exact
    [5, 13]
    Suffix
    , there are more publications on applying different combinations of specified above test methods. GC-C-IRMS method is not widely spread in laboratory practice. There are only several examples of its successful use for determining carbon isotope ratios in fatty acids [8].

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Package for Kernel Methods in {R} / A. Karatzoglou, A. Smola, K. Hornik, A. Zeileis // J. Stat. Softw. – 2004. – Vol. 11, No 9; doi:10.18637/jss.v011.i09.
Total in-text references: 1
  1. In-text reference with the coordinate start=5390
    Prefix
    Statistical data analysis was performed using free software for statistical calculations– R version 3.1.2 using the following software packages: caret 6.0-41 [10], e1071 1.6-4 [11], ggplot2 1.0.0 [15], kernlab 0.9-19
    Exact
    [6]
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    , lattice 0.20-29 [14], MASS 7.3-35 [9], pROC 1.7.3 [12]. RESULTS AND DISCUSSION Meat samples were collected in 2013-2014 by the Rosselkhoznadzor territorial administrations in veterinary and sanitary check points for quality and safety tests. 225 samples were collected from 7 types of meat from 24 countries (Table 2).

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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, No 2. – P. 897-911.
Total in-text references: 1
  1. In-text reference with the coordinate start=935
    Prefix
    Different analytical methods widely used for food product origin identification have been currently developed. They are: isotopic ratio of light elements, element analysis, nuclear magnetic-resonance, chromatography profiling, near and mid infrared spectroscopy methods
    Exact
    [2, 7]
    Suffix
    . Despite the fact that isotope-ratio mass spectrometry is a powerful method providing comprehensive information on geographic origin of the test object [5, 13], there are more publications on applying different combinations of specified above test methods.

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Meier-Augenstein W. Stable isotope analysis of fatty acids by gas chromatography-isotope ratio mass specFOOD SAFETY ПИЩЕВАЯ БЕЗОПАСНОСТЬ Table 1 Conditions of separation and detection of volatile amino acid derivatives ParametersGC-MSIRMS Injected volumeμlInjection method Without flow separationInjector’s temperature230 °СColumn temperature mode40–250 °С, rate 7.0 °С/min 250–280 °С, rate10.0 °С/minCarrier gas flow rate1 ml/minDetector temperature200 °СTransfer-line temperature250 °СIonization energy70 eVOxidation reactor temperature-1030 °С 12-ОсОущетущв лОяпрев щоед н2 {21} 2017 FOOD SAFETY ПИЩЕВАЯ БЕЗОПАСНОСТЬ trometry // Anal. Chim. Acta. – 2002. – Vol. 465, No 1-2. – P. 63-79.
Total in-text references: 1
  1. In-text reference with the coordinate start=1368
    Prefix
    mass spectrometry is a powerful method providing comprehensive information on geographic origin of the test object [5, 13], there are more publications on applying different combinations of specified above test methods. GC-C-IRMS method is not widely spread in laboratory practice. There are only several examples of its successful use for determining carbon isotope ratios in fatty acids
    Exact
    [8]
    Suffix
    . This approach was also extended for determining δ13N [4], δ18O, δ2H [3], and δ34S [1]. The purpose of this work was to assess the possibility of performing compound specific isotope analysis of amino acids by method based on gas chromatographic profiling followed by determination of carbon isotope ratios for meat geographic origin identification.

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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.
Total in-text references: 1
  1. In-text reference with the coordinate start=5429
    Prefix
    Statistical data analysis was performed using free software for statistical calculations– R version 3.1.2 using the following software packages: caret 6.0-41 [10], e1071 1.6-4 [11], ggplot2 1.0.0 [15], kernlab 0.9-19 [6], lattice 0.20-29 [14], MASS 7.3-35
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    [9]
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    , pROC 1.7.3 [12]. RESULTS AND DISCUSSION Meat samples were collected in 2013-2014 by the Rosselkhoznadzor territorial administrations in veterinary and sanitary check points for quality and safety tests. 225 samples were collected from 7 types of meat from 24 countries (Table 2).

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Package ‘caret’: Classification and Regression Training / M. Kuhn [et al.]. – 2016. – URL: http://cran.r-project. org/package=caret.
Total in-text references: 1
  1. In-text reference with the coordinate start=5331
    Prefix
    Primary results were processed using ISODAT 3.0 software (Termo Electron, Germany). Statistical data analysis was performed using free software for statistical calculations– R version 3.1.2 using the following software packages: caret 6.0-41
    Exact
    [10]
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    , e1071 1.6-4 [11], ggplot2 1.0.0 [15], kernlab 0.9-19 [6], lattice 0.20-29 [14], MASS 7.3-35 [9], pROC 1.7.3 [12]. RESULTS AND DISCUSSION Meat samples were collected in 2013-2014 by the Rosselkhoznadzor territorial administrations in veterinary and sanitary check points for quality and safety tests. 225 samples were collected from 7 types of meat from 24 countries (Table 2).

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Package ‘e1071’: Misc Functions of the Department of Statistics, Probability Theory Group (Formerly: E1071), TU Wien / D. Meyer [et al.]. – 2017. – URL: https:// CRAN.Rproject.org/package=e1071.
Total in-text references: 1
  1. In-text reference with the coordinate start=5349
    Prefix
    Primary results were processed using ISODAT 3.0 software (Termo Electron, Germany). Statistical data analysis was performed using free software for statistical calculations– R version 3.1.2 using the following software packages: caret 6.0-41 [10], e1071 1.6-4
    Exact
    [11]
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    , ggplot2 1.0.0 [15], kernlab 0.9-19 [6], lattice 0.20-29 [14], MASS 7.3-35 [9], pROC 1.7.3 [12]. RESULTS AND DISCUSSION Meat samples were collected in 2013-2014 by the Rosselkhoznadzor territorial administrations in veterinary and sanitary check points for quality and safety tests. 225 samples were collected from 7 types of meat from 24 countries (Table 2).

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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:10.1186/14712105-12-77.
Total in-text references: 1
  1. In-text reference with the coordinate start=5445
    Prefix
    Statistical data analysis was performed using free software for statistical calculations– R version 3.1.2 using the following software packages: caret 6.0-41 [10], e1071 1.6-4 [11], ggplot2 1.0.0 [15], kernlab 0.9-19 [6], lattice 0.20-29 [14], MASS 7.3-35 [9], pROC 1.7.3
    Exact
    [12]
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    . RESULTS AND DISCUSSION Meat samples were collected in 2013-2014 by the Rosselkhoznadzor territorial administrations in veterinary and sanitary check points for quality and safety tests. 225 samples were collected from 7 types of meat from 24 countries (Table 2).

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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.
Total in-text references: 1
  1. In-text reference with the coordinate start=1093
    Prefix
    They are: isotopic ratio of light elements, element analysis, nuclear magnetic-resonance, chromatography profiling, near and mid infrared spectroscopy methods [2, 7]. Despite the fact that isotope-ratio mass spectrometry is a powerful method providing comprehensive information on geographic origin of the test object
    Exact
    [5, 13]
    Suffix
    , there are more publications on applying different combinations of specified above test methods. GC-C-IRMS method is not widely spread in laboratory practice. There are only several examples of its successful use for determining carbon isotope ratios in fatty acids [8].

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Sarkar D. Lattice: Multivariate Data Visualization with R. – New York: Springer, 2008. – 273 p. – URL: http:// lmdvr.r-forge.r-project.org.
Total in-text references: 1
  1. In-text reference with the coordinate start=5411
    Prefix
    Statistical data analysis was performed using free software for statistical calculations– R version 3.1.2 using the following software packages: caret 6.0-41 [10], e1071 1.6-4 [11], ggplot2 1.0.0 [15], kernlab 0.9-19 [6], lattice 0.20-29
    Exact
    [14]
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    , MASS 7.3-35 [9], pROC 1.7.3 [12]. RESULTS AND DISCUSSION Meat samples were collected in 2013-2014 by the Rosselkhoznadzor territorial administrations in veterinary and sanitary check points for quality and safety tests. 225 samples were collected from 7 types of meat from 24 countries (Table 2).

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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. Table 2 Test sample
Total in-text references: 1
  1. In-text reference with the coordinate start=5369
    Prefix
    Primary results were processed using ISODAT 3.0 software (Termo Electron, Germany). Statistical data analysis was performed using free software for statistical calculations– R version 3.1.2 using the following software packages: caret 6.0-41 [10], e1071 1.6-4 [11], ggplot2 1.0.0
    Exact
    [15]
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    , kernlab 0.9-19 [6], lattice 0.20-29 [14], MASS 7.3-35 [9], pROC 1.7.3 [12]. RESULTS AND DISCUSSION Meat samples were collected in 2013-2014 by the Rosselkhoznadzor territorial administrations in veterinary and sanitary check points for quality and safety tests. 225 samples were collected from 7 types of meat from 24 countries (Table 2).