δ13C values and phytanic acid diastereomer ratios: combined evaluation of two markers suggested for authentication of organic milk and dairy products

Kaffarnik, Stefanie; Schröder, Markus; Lehnert, Katja; Baars, Ton; Vetter, Walter

doi:10.1007/s00217-014-2158-3

Cited by 28 publications

(23 citation statements)

References 37 publications

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“…Organic milk was discriminated from conventional milk in Korea (Chung and others ) and Germany (Molkentin and Giesemann , ; Molkentin ; Kaffarnik and others ) based on δ 13 C of protein in combination with other isotopes (δ 15 N) or other analytical parameters (fatty acid, α‐linolenic acid, phytanic acid diastereomer ratios). Molkentin () suggested α‐linolenic acid (+0.5 %), δ 13 C (–26.5 ‰), and δ 15 N (+5.5 ‰) thresholds for organic milk, which were found generally applicable to German processed dairy products, such as soft and semi‐hard cheeses, butter, cream, sour cream, buttermilk, yogurt, and low‐fat milk.…”

Section: Authenticity Of Foods Of Animal Originmentioning

confidence: 99%

Stable Isotope Ratio Analysis for Assessing the Authenticity of Food of Animal Origin

Camin

Bontempo

Perini

et al. 2016

Comp Rev Food Sci Food Safe

142

108

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The main elemental constituents (H, C, N, O, and S) . Isotopic ratios can be measured precisely and accurately using dedicated analytical techniques such as isotope ratio mass spectrometry (IRMS). Analysis of these ratios shows potential for assessing the authenticity of food of animal origin. In this review, IRMS analysis of food of animal origin and variability factors related to stable isotope ratios in animals are described. The study also lists examples of application of stable isotope ratio analysis to meat, dairy products, fish, and shellfish and emphasizes the strengths and weaknesses of the technique. Geographical, climatic, pedological, geological, botanical, and agricultural factors affect the stable isotope ratios (SIR) of bio-elements, and SIR variations are ultimately incorporated into animal tissue through eating, drinking, breathing, and exchange with the environment, being recorded in the resulting foods. SIR analysis was capable of determining geographical origin, animal diet, and the production system (such as organic/conventional or wild/farmed) for pork, beef, lamb, poultry, milk, butter, cheese, fish, and shellfish. In the case of the hard PDO (protected designations of origin) cheeses Grana Padano and Parmigiano Reggiano it is also used in real-life situations to assess the authenticity of grated and shredded cheese on the market.

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Section: Authenticity Of Foods Of Animal Originmentioning

confidence: 99%

Stable Isotope Ratio Analysis for Assessing the Authenticity of Food of Animal Origin

Camin

Bontempo

Perini

et al. 2016

Comp Rev Food Sci Food Safe

142

108

View full text Add to dashboard Cite

show abstract

“…As part of the fats, Baars et al (2012) showed that the combination of phytanic acid concentration and diastereoisomers ratio could discriminate between intake of fresh grass and silages of maize plus concentrates. Capuano et al (2014) used phytanic acid and pristinic acid to identify the ration of the cows in terms of fresh grass intake and showed that the diastereoisomers ratio was useful to discriminate in the fresh grass intake, whereas Kaffarnik et al (2014) combined phytanic acid measurements with carbon isotopes to discriminate different feeding origins. The ratios between milk-stable isotopes of N, H, or O have been successfully used to authenticate the geographical region (Manca et al, 2001;Renou et al, 2004;Ehtesham et al, 2013) or altitude origin (Engel et al, 2007) of dairy products.…”

Section: Introductionmentioning

confidence: 99%

Potential of milk fatty acid composition to predict diet composition and authenticate feeding systems and altitude origin of European bulk milk

Coppa

Chassaing

Ferlay

et al. 2015

Journal of Dairy Science

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The aims of this work were to elucidate the potential of using milk fatty acid (FA) concentration to predict cow diet composition and altitude of bulk milk collected in 10 different European countries and to authenticate cow-feeding systems and altitude of the production area using a data set of 1,248 bulk cow milk samples and associated farm records. The predictions based on FA for cow diet composition were excellent for the proportions of fresh herbage [coefficient of determination (R2)=0.81], good for hay, total herbage-derived forages, and total preserved forages (R2>0.73), intermediate for corn silage and grass silage (R2>0.62), and poor for concentrates (R2<0.51) in the cow diet. Milk samples were assigned to groups according to feeding system, level of concentrate supplementation, and altitude origin. Milk FA composition successfully authenticated cow-feeding systems dominated by a main forage (>93% of samples correctly classified), but the presence of mixed diets reduced the discrimination. Altitude prediction reliability was intermediate (R2<0.62). Milk FA composition was not able to authenticate concentrate supplementation level in the diet (<58% of samples correctly classified). Similarly, the altitude origin was not successfully authenticated by milk FA composition (<76% of samples correctly classified). The potential of milk FA composition to authenticate cow feeding was confirmed using a data set representative of the diversity of European production conditions.

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“…Differences in the δ 13 С values of feed are also affected on isotopic carbon profile of milk fat and protein. The values of δ 13 С positively correlated with an increasing of corn percentage in the diet and decreased with an increasing the percent of hay or fresh herbs in the ration (Сamin et al, 2008;Bontempo et al, 2012;Kaffarnik et al, 2014).…”

Section: Resultsmentioning

confidence: 99%

Milk Urea Content and Î´13C as Potential Tool for Differentiation of Milk from Organic and Conventional Low- and High-Input Farming Systems

Zhukova

Petrov

Demikhov

et al. 2017

Turkish JAF Sci.Tech.

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The influence of farming type (conventional or organic) and production system (low-and high-input) on various quality characteristics of milk have been in the focus of studies over the last decade. The aim of this work was to evaluate the impact of different dairy management and production systems on carbon stable isotopes ratio (δ 13 C) and milk urea content. The samples of raw milk were collected each two weeks at certified organic high-input and low-input farms, conventional high-input and low-input farms in late indoor period and outdoor period. Data analysis showed clear difference between milk from organic high-and low-input farms with non-overlapping range between -22.90 ‰ and -24.70‰ for δ

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δ13C values and phytanic acid diastereomer ratios: combined evaluation of two markers suggested for authentication of organic milk and dairy products

Cited by 28 publications

References 37 publications

Stable Isotope Ratio Analysis for Assessing the Authenticity of Food of Animal Origin

Stable Isotope Ratio Analysis for Assessing the Authenticity of Food of Animal Origin

Potential of milk fatty acid composition to predict diet composition and authenticate feeding systems and altitude origin of European bulk milk

Milk Urea Content and Î´13C as Potential Tool for Differentiation of Milk from Organic and Conventional Low- and High-Input Farming Systems

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