Fatty Acid Composition and Egg Components of Specialty Eggs

Cherian, Gita; Holsonbake, T. B.; Goeger, M. P.

doi:10.1093/ps/81.1.30

Cited by 82 publications

(54 citation statements)

References 17 publications

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“…only 16 fatty acid percentages as input. Previous work knowledge and supports the finding that the fatty acid profile of feed can be used to discriminate organic from conventional feed (Cherian et al, 2002;Samman et al, 2009). This paper does not address the question whether this specific combination of samples, analytical data and chemometric model is the "best" possible combination, but rather it uses the combination of this specific PLS-DA model and the sample sets described as a case study to the proposed validation protocol as presented below.…”

Section: Model Developmentsupporting

confidence: 70%

Validation of multivariate classification methods using analytical fingerprints – concept and case study on organic feed for laying hens

Alewijn

Voet

Ruth

2016

Journal of Food Composition and Analysis

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Please cite this article as: Alewijn, Martin., van der Voet, Hilko., & van Ruth, Saskia., Validation of multivariate classification methods using analytical fingerprints − concept and case study on organic feed for laying hens.Journal of Food Composition and Analysis http://dx. 2Highlights  A validation procedure for multivariate classification methods is proposed  Combined validation of sample set composition, analytical method and performance  Class probability scores give more performance insight than classification results  Future correct classification rate derived from combined probability distributions  A case study on organic feed shows the new validation approach in practice AbstractMultivariate classification methods based on analytical fingerprints have found many applications in the food and feed area, but practical applications are still scarce due to a lack of a generally accepted validation procedure. This paper proposes a new approach for validation of this type of methods. A part of the validation procedure requires a description of qualitative aspects: the method's goal and purpose and adequateness of the sample sets used. The required quantitative performance is assessed from probabilistic data. Probability distributions are generalized using kernel density estimates, which allow meaningful interpolation and direct comparison and combination of different distributions. We propose inclusion of a permutation test, and provide suggestions for the assessment of the analytical repeatability in the method's probabilistic units. The latter can serve as a quality control measure. For assessment of the method's overall performance, we propose to apply the combined cross validation and external validation set probability distributions in order to obtain the best estimate for the method's performance on future samples. Qualitative and quantitative aspects are to be combined into a validation dossier stating performance for a well-defined purpose and scope. The proposed validation approach is applied to a case study: a binary classification discriminating organic from conventional laying hen feed based on fatty acid profiling that is essential to ensure the organic status of eggs for human consumption. For this case study, an expected accuracy for organic feed recognition of 96% is obtained for an explicitly defined scope.

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Section: Model Developmentsupporting

confidence: 70%

Validation of multivariate classification methods using analytical fingerprints – concept and case study on organic feed for laying hens

Alewijn

Voet

Ruth

2016

Journal of Food Composition and Analysis

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“…Land to produce such crops must have been free of 'genetically modified' crops and synthetic fertilizers for three or more years. Antibiotic use is permitted only for disease outbreaks (Cherian, Holsonbake, & Goeger, 2002;Sherwin et al, 2010).…”

Section: Hen's Organic Eggsmentioning

confidence: 99%

Hen egg carotenoids (lutein and zeaxanthin) and nutritional impacts on human health: a review

Zaheer¹

2017

CyTA - Journal of Food

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Hen egg is a unique and important carrier of lipid soluble bioactive carotenoids -lutein and zeaxanthin. Egg yolk carotenoid profile is largely dependent on hen's feed composition. Naturally, lutein and zeaxanthin are polar carotenoids primarily deposited in human retina and provide several protective functions, i.e. protect the macula from damage by blue light, improve visual acuity, and scavenge harmful reactive oxygen species. They have also been linked with reduced risk of agerelated macular degeneration and cataracts, cardiovascular diseases, Alzheimer's, and possibly different cancers. This review summarizes the latest data on content and composition of hen egg carotenoids, effect of processing, feeding systems, feed additives, bioavailability, and physiological effect of egg carotenoids on human health issues.Carotenoides de huevo de gallina (luteína y zeaxantina) e impactos nutricionales en la salud del ser humano: una revisión RESUMEN La yema de huevo es un importante y único portador de carotenoides bioactivos liposolubles: luteína y zeaxantina. El perfil de carotenoides de la yema de huevo depende notablemente de la composición alimentaria de la gallina. La luteína y la zeaxantina son carotenoides polares naturales depositados principalmente en la retina humana y que aportan diversas funciones protectoras, como por ejemplo la protección de la mácula del daño provocado por la luz azulada, la mejora de la agudeza visual y expulsan las especies dañinas reactivas al oxígeno. Estos también están relacionados con reducir el riesgo de degeneración macular producido por la edad y las cataratas, enfermedades cardiovasculares, Alzheimer, además de la posibilidad de diferentes tipos de cáncer. Este estudio resume los datos más recientes acerca del contenido y la composición de los carotenoides de la yema de huevo de gallina, el efecto del procesamiento, los sistemas de alimentación, los aditivos alimentarios, la biodisponibilidad y el efecto psicológico de los carotenoides del huevo en los problemas de salud de las personas. ARTICLE HISTORY

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“…The effect of alternative production systems on egg quality is unresolved. Cherian et al (2002) focused on the proximate composition and nutrients of the eggs from different husbandry systems applied in farming with laying hens, but found they were influenced mainly by feed quality. Thus, in free-range or cage-free systems, the proportion of the yolk was lower than in other systems, which differed mainly in diet, while no difference was reported on the total polyunsaturated fatty acid concentrations of eggs.…”

Section: Introductionmentioning

confidence: 99%

Chemical features, cholesterol and energy content of table hen eggs from conventional and alternative farming systems

Radu-Rusu¹,

Usturoi²,

Leahu³

et al. 2014

SA J. An. Sci.

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This study was carried out to investigate the effect of conventional farming systems for laying hens (standard cage batteries) and new alternative systems (improved cages and free range), approved by European Union (EU) poultry welfare legislation, on the chemical and nutritional quality of table eggs. The biological material consisted of eggs laid by 1200 Lohmann Brown hens, aged 27 weeks, fed similarly (a corn-wheat-soymeal diet). Conventional AOAC methods were used to analyse the eggs, and gross energy was calculated based on organic matter energy. All data were subjected to ANOVA statistical computation. The eggs produced in conventional cages compared with those laid in free-range farming conditions, presented significantly higher concentrations of total lipids (11.40 ± 0.65 g/100 g vs. 10.78 ± 0.87 g/100 g), cholesterol (211 ± 6.31 µg/egg vs. 202 ± 7.79 µg/60 g egg) and gross energy (0.36 ± 0.007 MJ/egg vs. 0.35 ± 0.012 MJ/egg). Consequently, it could be stated that under similar dietary conditions, the cage-free system influenced hens to produce eggs with a higher nutritive value than in the other systems.

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Fatty Acid Composition and Egg Components of Specialty Eggs

Cited by 82 publications

References 17 publications

Validation of multivariate classification methods using analytical fingerprints – concept and case study on organic feed for laying hens

Validation of multivariate classification methods using analytical fingerprints – concept and case study on organic feed for laying hens

Hen egg carotenoids (lutein and zeaxanthin) and nutritional impacts on human health: a review

Chemical features, cholesterol and energy content of table hen eggs from conventional and alternative farming systems

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