How Much Do Soil and Water Contribute to the Composition of Meat? A Case Study: Meat from Three Areas of Argentina
| Autor: | Héctor A. Ostera, Pilar Peral-García, Daniel Alberto Wunderlin, Jurian Hoogewerff, Marcela Inga, Eduardo A. Gautier, María Verónica Baroni, Ernesto Gallegos, Raúl G. Badini, Natalia S. Podio, Mariana Celina Cagnoni |
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| Rok vydání: | 2011 |
| Předmět: |
Elemental composition
Meat δ13C Climate Drinking Water Argentina Generalized Procrustes analysis General Chemistry δ15N Thermal ionization mass spectrometry Mass spectrometry Mass Spectrometry Trace Elements Soil Isotopes Environmental chemistry Animals Cattle Composition (visual arts) General Agricultural and Biological Sciences Inductively coupled plasma mass spectrometry |
| Zdroj: | Journal of Agricultural and Food Chemistry. 59:11117-11128 |
| ISSN: | 1520-5118 0021-8561 |
| DOI: | 10.1021/jf2023929 |
| Popis: | The main goal of this study was to propose a reliable method to verify the geographical origin of meat, establishing the influence of soil and water on its isotopic and elemental composition. Thus, beef meat, soil, and water samples were collected from three major cattle-producing regions of Argentina (Buenos Aires, Córdoba, and Entre Ríos). Multielemental composition was determined on these three matrices by inductively coupled plasma mass spectrometry (ICP-MS), δ(13)C and δ(15)N by isotope-ratio mass spectrometry (IRMS), and the (87)Sr/(86)Sr ratio by thermal ionization mass spectrometry (TIMS). Soil and drinking water samples could be characterized and clearly differentiated by combining the isotopic ratios and elements, demonstrating differences in geology and climatic conditions of three regions. Similarly, meat originating at each sampling area was characterized and differentiated using only five key variables (Rb, Ca/Sr, δ(13)C, δ(15)N, and (87)Sr/(86)Sr). Generalized procrustes analysis (GPA), using the three studied matrices (soil, water, and meat) shows consensus between them and clear differences between studied areas. Furthermore, canonical correlation analysis (CCA) demonstrates significant correlation between the chemical-isotopic profile of meat with those corresponding to both soil and water (r(2) = 0.93, p0.001; and r(2) = 0.83, p0.001, respectively). So far, there are clear coincidences between the meat fingerprint and those from soil/water where cattle grew, presenting a good method to establish beef provenance. To the authors' knowledge this is the first report linking the influence of soil and water all together on the composition of beef, presenting the basis for the authentication of Argentinean beef, which could be extended to meat from different provenances. |
| Databáze: | OpenAIRE |
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