Eggspectation: organic egg authentication method challenged with produce from ten different countries

Ruth, Saskia M. van; Koot, Alex; Brouwer, S.E.; Boivin, Nathalie; Carcea, Marina; Zerva, C.; Haugen, John‐Erik; Höhl, Andreas; Köroglu, D.; Mafra, Isabel; Rom, S.

doi:10.3920/qas2012.0114

Cited by 15 publications

(10 citation statements)

References 16 publications

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“…Recently, the model calibrated with Dutch eggs was challenged with eggs from ten different countries. 149 For the eggs from six EU countries, Austria, Belgium, Germany, Greece, Italy and Portugal, high success rates for the prediction of their identity (organic of conventional) were achieved, with 90-100% of organic eggs and 88-100% of conventional eggs correctly classified. For three of the non-EU countries, Norway, Canada and Israel, good results were obtained, with 75-100% of organic eggs correctly classified.…”

Section: Carotenoidsmentioning

confidence: 96%

“…Except for one organic egg sample, which after inspection was found to be fraudulent, the production system of the eggs was predicted correctly for all samples. Recently, the model calibrated with Dutch eggs was challenged with eggs from ten different countries . For the eggs from six EU countries, Austria, Belgium, Germany, Greece, Italy and Portugal, high success rates for the prediction of their identity (organic of conventional) were achieved, with 90–100% of organic eggs and 88–100% of conventional eggs correctly classified.…”

Section: Foods Of Animal Originmentioning

confidence: 99%

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Analytical authentication of organic products: an overview of markers

Capuano¹,

Boerrigter-Eenling²,

Veer³

et al. 2012

J Sci Food Agric

133

108

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Consumers' interest in organic foods is increasing and so is the need for robust analytical tools for their authentication. This review focuses on the most promising biomarkers/analytical approaches that are available for the authentication of organic produce. Food products have been subdivided into two groups: foods of plant origin (crops) and foods of animal origin (meat, milk and dairy products, eggs and fish). For each food category the most suitable biomarkers are presented and their potential for authentication is discussed. In the light of current knowledge, it is unlikely that the authentication of organic food products can be attained by the measurement of a single marker. Analytical approaches based on the measurement of multiple markers and/or complex chemical or physical profiles/fingerprints supported by multivariate statistical analysis seem considerably more promising in this respect. For the development of robust classification models, well-designed experimental studies must be performed that rely on data sets that are both well balanced and of sufficient size to ensure that all relevant sources of variation for the target biomarkers are included in the reference database.

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Section: Carotenoidsmentioning

confidence: 96%

Section: Foods Of Animal Originmentioning

confidence: 99%

Analytical authentication of organic products: an overview of markers

Capuano¹,

Boerrigter-Eenling²,

Veer³

et al. 2012

J Sci Food Agric

133

108

View full text Add to dashboard Cite

show abstract

“…It is considered that the standard hen diet, in which the main part is one or more cereals, is insufficient to achieve the desired yolk color without pigment supplementation. These pigments are usually of synthetic origin as they deposit faster and have better efficiency than natural pigments [2,9]. However, when such pigments are added to hen diets, the higher yolk color intensity is not associated with the higher yolk carotenoid content [10].…”

Section: Introductionmentioning

confidence: 99%

Commercial Corn Hybrids as a Single Source of Dietary Carotenoids: Effect on Egg Yolk Carotenoid Profile and Pigmentation

et al. 2021

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Commercial high-yielding corn hybrids have not been evaluated for their ability to pigment egg yolk. Therefore, the objective of this research was to investigate the effects of commercial hybrids with different carotenoid profiles as the only source of pigments in the diets of hens on yolk color and carotenoid content, as well as the carotenoid deposition efficiency into the yolk. Treatment diets, differing only in one of five corn hybrids, were offered in a completely randomized design in six cages per treatment, each with three hens. Treatment diets and yolks differed in carotenoid profile (contents of lutein, zeaxanthin, β-cryptoxanthin and β-carotene, p < 0.001), with total carotenoid contents ranging from 17.13–13.45 µg/g in diet and 25.99–21.97 µg/g in yolk. The treatments differed (p < 0.001) in yolk color, which was determined by yolk color fan (10.8–9.83) and CIE Lab (redness; range 12.47–10.05). The highest yolk color intensity was achieved by a diet with the highest content of zeaxanthin, β-cryptoxanthin and β-carotene. The deposition efficiency of lutein and zeaxanthin (25.52 and 26.05%, respectively) was higher than that of β-cryptoxanthin and β-carotene (8.30 and 5.65%, respectively), and the deposition efficiency of all carotenoids decreased with increasing dietary content. Commercial corn hybrids provided adequate yolk color and could be the only source of carotenoids in the diets of hens, which could reduce the cost of egg production and increase farmers’ income.

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“…Yet, the growth in global food supply chains, and the incidence and effects of food fraud, have increased in recent years in several countries [2,6,7]. Similarly, several analytical techniques (e.g., DNA, chromatographic, and spectroscopy techniques) have been developed and utilized as tools to detect issues associated with fraud along the food supply and value chains [2,[6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

Unscrambling the Provenance of Eggs by Combining Chemometrics and Near-Infrared Reflectance Spectroscopy

Hoffman

Dayananda

et al. 2022

Sensors

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Issues related to food authenticity, traceability, and fraud have increased in recent decades as a consequence of the deliberate and intentional substitution, addition, tampering, or misrepresentation of food ingredients, where false or misleading statements are made about a product for economic gains. This study aimed to evaluate the ability of a portable NIR instrument to classify egg samples sourced from different provenances or production systems (e.g., cage and free-range) in Australia. Whole egg samples (n: 100) were purchased from local supermarkets where the label in each of the packages was used as identification of the layers’ feeding system as per the Australian legislation and standards. The spectra of the albumin and yolk were collected using a portable NIR spectrophotometer (950–1600 nm). Principal component analysis (PCA) and linear discriminant analysis (LDA) were used to analyze the NIR data. The results obtained in this study showed how the combination of chemometrics and NIR spectroscopy allowed for the classification of egg albumin and yolk samples according to the system of production (cage and free range). The proposed method is simple, fast, environmentally friendly and avoids laborious sample pre-treatment, and is expected to become an alternative to commonly used techniques for egg quality assessment.

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Eggspectation: organic egg authentication method challenged with produce from ten different countries

Cited by 15 publications

References 16 publications

Analytical authentication of organic products: an overview of markers

Analytical authentication of organic products: an overview of markers

Commercial Corn Hybrids as a Single Source of Dietary Carotenoids: Effect on Egg Yolk Carotenoid Profile and Pigmentation

Unscrambling the Provenance of Eggs by Combining Chemometrics and Near-Infrared Reflectance Spectroscopy

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