Abstract:Omega-3 polyunsaturated fatty acids (n-3 PUFAs) enriched eggs are popular for their enrichment of PUFAs, but their freshness and quality are prone to decline with time, particularly if storage conditions are not well maintained. Home storage is the last but a neglected important tach in eggs supply chain, but few studies are available on the egg storage in the home stage. This study aimed to evaluate the internal quality change of both n-3 PUFAs enriched and conventional eggs by simulating eggs stored at consu… Show more
“…This can presumably explain non-significant effects of DHA enrichment on lipid oxidative stability of yolk in this study. In addition, albumen height, HU, and YI values showed a significant reduction, whereas TBARS value showed an increase with the extension of storage time up to 28 D ( P < 0.05), in agreement with previous studies ( Mohiti-Asli et al., 2008 ; Li et al., 2017 ). No significant differences were observed in the internal qualities and oxidative stability of the eggs influenced by the interactions between storage days and dietary treatment ( P > 0.05).…”
Marine microalgae (
MA
) has received wide attention as a promising source of omega-3 long-chain polyunsaturated fatty acids (
n-3 LC-PUFA
) enrichment in animal products to improve the health status and wellbeing of the consumers. This study evaluated dynamic changes in n-3 LC-PUFA, color, and functional properties as well as atherogenic and thrombogenic health lipid indices of egg yolk from hens fed graded levels (0, 0.5, and 1.0%) of docosahexaenoic acid (
DHA
)–rich MA (
Aurantiochytrium
sp.) during a 56-D feeding period. Egg freshness parameters and yolk lipid oxidative stability were also measured after 0, 14, and 28 D of refrigerated storage. The hen performance and egg quality (except for yolk color) were not affected (
P
> 0.05) by MA supplementation. Docosahexaenoic acid contents in yolk from hens fed 1.0% MA increased quadratically with feeding time with a plateau at about 30 D (
P
< 0.05). Afterward, the DHA content leveled off to a constant value (946.3 mg/100 g yolk) with the n-6/n-3 ratio at 3.5: 1. Dietary inclusion of 1.0% of MA also significantly decreased the atherogenic and thrombogenic indices of yolk lipid (
P
< 0.05). Because the microalgal carotenoids incorporated into egg yolk, the
L
∗ value of yolk from hens fed MA decreased whereas
a
∗ value increased (
P
< 0.05), corresponding to yolk Roche color scores. As expected, there were no significant changes in yolk functional properties (e.g., viscosity and emulsifying activity) related to DHA enrichment (
P
> 0.05). Microalgal carotenoids enrichment also helped attenuate fatty acid oxidation of the DHA-enriched yolk and increase their lipid oxidative stability. In conclusion, dietary supplementation with up to 1.0% of MA significantly increased DHA contents with more health-promoting n-6/n-3 ratio and atherogenic and thrombogenic indices, as well as more intense yolk color within consumers' acceptability, and the feeding strategy had a minimal impact on yolk physical and functional properties or oxidative stability during subsequent refrigerated storage.
“…This can presumably explain non-significant effects of DHA enrichment on lipid oxidative stability of yolk in this study. In addition, albumen height, HU, and YI values showed a significant reduction, whereas TBARS value showed an increase with the extension of storage time up to 28 D ( P < 0.05), in agreement with previous studies ( Mohiti-Asli et al., 2008 ; Li et al., 2017 ). No significant differences were observed in the internal qualities and oxidative stability of the eggs influenced by the interactions between storage days and dietary treatment ( P > 0.05).…”
Marine microalgae (
MA
) has received wide attention as a promising source of omega-3 long-chain polyunsaturated fatty acids (
n-3 LC-PUFA
) enrichment in animal products to improve the health status and wellbeing of the consumers. This study evaluated dynamic changes in n-3 LC-PUFA, color, and functional properties as well as atherogenic and thrombogenic health lipid indices of egg yolk from hens fed graded levels (0, 0.5, and 1.0%) of docosahexaenoic acid (
DHA
)–rich MA (
Aurantiochytrium
sp.) during a 56-D feeding period. Egg freshness parameters and yolk lipid oxidative stability were also measured after 0, 14, and 28 D of refrigerated storage. The hen performance and egg quality (except for yolk color) were not affected (
P
> 0.05) by MA supplementation. Docosahexaenoic acid contents in yolk from hens fed 1.0% MA increased quadratically with feeding time with a plateau at about 30 D (
P
< 0.05). Afterward, the DHA content leveled off to a constant value (946.3 mg/100 g yolk) with the n-6/n-3 ratio at 3.5: 1. Dietary inclusion of 1.0% of MA also significantly decreased the atherogenic and thrombogenic indices of yolk lipid (
P
< 0.05). Because the microalgal carotenoids incorporated into egg yolk, the
L
∗ value of yolk from hens fed MA decreased whereas
a
∗ value increased (
P
< 0.05), corresponding to yolk Roche color scores. As expected, there were no significant changes in yolk functional properties (e.g., viscosity and emulsifying activity) related to DHA enrichment (
P
> 0.05). Microalgal carotenoids enrichment also helped attenuate fatty acid oxidation of the DHA-enriched yolk and increase their lipid oxidative stability. In conclusion, dietary supplementation with up to 1.0% of MA significantly increased DHA contents with more health-promoting n-6/n-3 ratio and atherogenic and thrombogenic indices, as well as more intense yolk color within consumers' acceptability, and the feeding strategy had a minimal impact on yolk physical and functional properties or oxidative stability during subsequent refrigerated storage.
“…Studies have shown that n-3 PUFAs have several health benefits, such as reducing the incidence of cardiovascular diseases, decreasing blood pressure and promoting the development of visual and cognitive abilities in infants and young children (Juturu, 2008;Lemahieu et al, 2015). n-3 PUFA enriched eggs are as highly perishable as conventional eggs, and their freshness and quality begin to decline immediately after production at the poultry farm (Li, Zhang, Jia, & Liu, 2017). Moreover, n-3 PUFAs increase the degree of unsaturation in egg yolk but may enhance the sensitivity to lipid oxidation (Galobart, Barroeta, Baucells, & Guardiola, 2001).…”
Section: Introductionmentioning
confidence: 99%
“…The lipids in eggs can be oxidized during storage, especially at high temperatures (Mohiti-Asli, Shariatmadari, Lotfollahian, & Mazuji, 2008). Therefore, the European Union recommends that the eggs were kept under refrigerator at home ((EC) No 589/2008and (EC) No 1234/2007, and the United States Department of Agriculture requires eggs to be stored at 7.2ºC or lower and at a relative humidity of 40 to 70% for during extended storage (Li et al, 2017). Most available data on egg quality are focused on normal eggs, whereas data on the effects of storage conditions on the quality of n-3 PUFA enriched eggs are scarce.…”
This study aimed to evaluate the effects of simulated retail and home storage on the fatty acids, free amino acids and antioxidant activity in normal eggs and n-3 PUFA-enriched eggs. The proportion of PUFAs in n-3 PUFA-enriched eggs was higher than in normal eggs, and during storage, the proportion decreased from 24.40% to 21.92% and then increased to 25.86%, which may be due to lipid hydrolysis and oxidation. The proportion of total free amino acids significantly decreased during storage processing, but the changes observed during storage at 25ºC and 4ºC were not significantly different. Twenty four days of storage at 25ºC significantly reduced the total antioxidant capacity (T-AOC), and increased the thiobarbituric acid reactive substances (TBARS) values. Our results showed that the fatty acids and antioxidant activity in n-3 PUFA-enriched eggs are stable during storage at 4ºC for 24 d. Efecto del almacenamiento en huevos enriquecidos con AGPI [ácidos grasos poliinsaturados] n-3 RESUMEN Este estudio tuvo como objetivo evaluar los efectos del almacenamiento simulado, tanto minorista como doméstico, en los ácidos grasos, los aminoácidos libres y la actividad antioxidante de huevos normales y huevos enriquecidos con AGPI n-3. La proporción de AGPI en los huevos enriquecidos con AGPI n-3 fue mayor que en los huevos normales. Durante el almacenamiento dicha proporción disminuyó de 24,40% a 21,92% y luego aumentó a 25,86%, lo que puede responder a la hidrólisis y la oxidación de los lípidos. Aunque la proporción de aminoácidos libres totales se redujo drásticamente durante el almacenamiento, los cambios observados durante el mismo a 25ºC y 4ºC no fueron significativamente diferentes. Tras 24 días de almacenamiento a 25ºC se observó una importante reducción de la capacidad antioxidante total (T-AOC) y aumentaron los valores de sustancias reactivas al ácido tiobarbitúrico (TBARS). En conclusión, los resultados muestran que los ácidos grasos y la actividad antioxidante en los huevos enriquecidos con AGPI n-3 se mantienen estables durante el almacenamiento a 4ºC durante 24 días.
“…However, only limited sensor observations are collected, because only sparse sensors are deployed in sensor networks given the high costs of sensors and limited budget. Due to limited sensing With the development of sensor technologies, wireless sensor networks have emerged as a key tool to collect sensing data and enable the sensing data to measure the fields [17][18][19]. Many researchers have employed statistical methods for the estimation of temperature fields using sensing observations, which aim to capture stochastic dynamics and uncertainties of temperature fields.…”
Engineering thermal management (ETM) is one of the critical tasks for quality control and system surveillance in many industries, and acquiring the temperature field and its evolution is a prerequisite for efficient thermal management. By harnessing the sensing data from sensor networks, an unprecedented opportunity has emerged for an accurate estimation of the temperature field. However, limited resources of sensor deployment and computation capacity pose a great challenge while modeling the spatiotemporal dynamics of the temperature field. This paper presents a novel temperature field estimation approach to describe the dynamics of a temperature field by combining a physics-specific model and a spatiotemporal Gaussian process. To reduce the computational burden while dealing with a large set of spatiotemporal data, we employ a tapering covariance function and develop an associated parameter estimation procedure. We introduce a case study of grain storage to show the effectiveness and efficiency of the proposed approach.
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