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Wang H, Ge Y, Wei Y, Li Q, Zhang X, Fan J. Physicochemical Index Analyses of the Egg White in Blue-Shelled Eggs and Commercial Brown-Shelled Eggs during Storage. Foods 2023; 12:4441. [PMID: 38137245 PMCID: PMC10742541 DOI: 10.3390/foods12244441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Revised: 12/01/2023] [Accepted: 12/06/2023] [Indexed: 12/24/2023] Open
Abstract
To compare the physical and chemical changes in egg whites during storage, assisting in the evaluation of differences in egg freshness between various chicken breeds, we chose 240 blue-shelled eggs (Blue group) and 240 commercial brown-shelled eggs (Brown group) that 28-week-old hens had laid. In this study, all eggs were stored at 25 °C. The egg weight, egg components' weight and proportion, Haugh Unit value and the contents of S-ovalbumin, ovomucin and lysozyme in the thick albumen (KA) and thin albumen (NA) were measured at eight time points every 3 days until the 21st day of storage. The eggshell, yolk and KA proportions in the Brown group were significantly lower, whereas the NA proportion was significantly higher than that in the Blue group (p < 0.001). The Haugh Unit value and S-ovalbumin in the Brown group were significantly higher, whereas KA ovomucin and NA lysozyme were significantly lower than those in the Blue group (p < 0.001). There existed significant negative correlations between the KA and NA, irrespective of weight or proportion. The Haugh Unit value was significantly positively correlated with lysozyme and ovomucin, but significantly negatively correlated with S-ovalbumin. During storage, the KA weight (proportion), Haugh Unit value, lysozyme and ovomucin decreased, whereas the NA weight (proportion) and S-ovalbumin increased. At each time point, the NA lysozyme in the Brown group was lower than that in the Blue group (p < 0.05). After storage for 6 days, the KA ovomucin in the Brown group began to be lower than that in the Blue group (p < 0.05). The study showed that the weight (proportion) differences in egg components between blue-shelled eggs and commercial brown-shelled eggs are mainly due to the NA. The Haugh Unit value and albumin protein indexes of blue-shelled eggs were better than those of brown-shelled eggs, and showed mild changes during storage, indicating the better storage performance of blue-shelled eggs.
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Affiliation(s)
- Huanhuan Wang
- Hangzhou Academy of Agricultural Sciences, Hangzhou 310024, China; (Y.G.); (Y.W.); (Q.L.); (X.Z.); (J.F.)
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Zhang J, Lu W, Jian X, Hu Q, Dai D. Nondestructive Detection of Egg Freshness Based on Infrared Thermal Imaging. SENSORS (BASEL, SWITZERLAND) 2023; 23:5530. [PMID: 37420698 DOI: 10.3390/s23125530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/07/2023] [Accepted: 06/08/2023] [Indexed: 07/09/2023]
Abstract
In this paper, we proposed a nondestructive detection method for egg freshness based on infrared thermal imaging technology. We studied the relationship between egg thermal infrared images (different shell colors and cleanliness levels) and egg freshness under heating conditions. Firstly, we established a finite element model of egg heat conduction to study the optimal heat excitation temperature and time. The relationship between the thermal infrared images of eggs after thermal excitation and egg freshness was further studied. Eight values of the center coordinates and radius of the egg circular edge as well as the long axis, short axis, and eccentric angle of the egg air cell were used as the characteristic parameters for egg freshness detection. After that, four egg freshness detection models, including decision tree, naive Bayes, k-nearest neighbors, and random forest, were constructed, with detection accuracies of 81.82%, 86.03%, 87.16%, and 92.32%, respectively. Finally, we introduced SegNet neural network image segmentation technology to segment the egg thermal infrared images. The SVM egg freshness detection model was established based on the eigenvalues extracted after segmentation. The test results showed that the accuracy of SegNet image segmentation was 98.87%, and the accuracy of egg freshness detection was 94.52%. The results also showed that infrared thermography combined with deep learning algorithms could detect egg freshness with an accuracy of over 94%, providing a new method and technical basis for online detection of egg freshness on industrial assembly lines.
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Affiliation(s)
- Jingwei Zhang
- School of Electrical and Electronic Engineering, Anhui Science and Technology University, Bengbu 233000, China
- College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China
| | - Wei Lu
- College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China
| | - Xingliang Jian
- College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China
| | - Qingying Hu
- College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China
| | - Dejian Dai
- College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China
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Okasha HM, El-Gendi GM, Eid KM. The effect of storage periods and SPIDES on embryonic mortality, hatching characteristics, and quality of newly hatched chicks in broiler eggs. Trop Anim Health Prod 2023; 55:133. [PMID: 36971860 PMCID: PMC10042909 DOI: 10.1007/s11250-023-03547-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 03/14/2023] [Indexed: 03/28/2023]
Abstract
AbstractsEgg storage duration can affect embryo mortality, hatching characteristics, hatching time, and post-hatch chick quality. In order to assess these effects, the impact of storage duration (5 days, 10 days, 15 days) and short incubation period during egg storage (SPIDES) investigated further 18, 900 eggs of broiler breeder (ROSS 308) in 3 × 2 factorial arrangement design. In the SPIDES treatment, the egg shell temperature was raised from its storage temperature (18 °C) and held at 100 °F for 3.5 h. Storage periods could significantly (P < 0.05) influence on embryo mortality (total, early, middle, and late), hatchability of both the total eggs and fertile eggs. The SPIDES treatment had a significant (P < 0.05) impact on a lower embryonic death rate and improved egg hatchability. Eggs stored for 5 days and eggs treated with SPIDES significantly (P < 0.001) shorten hatching time, batch’s 90% hatching time (T 90% H), mean hatching time (MHT), maximal hatching period (MHP), and hatching window (HW). Chick quality was also determined, whereas storing eggs for 5 days and using the SPIDES treatment resulted in enhanced (P < 0.001) chick weight relative to egg weight (CW/EW), activity (AC), and chick quality score (CQS). The residual yolk sac weight (RYSW), unhealed navel (UHN %), and dirty feather (DF%) recorded the lowest (P < 0.001) values compared to long storage periods and control group. Finally, stored for 5 days treated by SPIDES positively affected the hatchability characteristics, the shortening hatching time, and the quality of chicks. Regarding the results, it was confirmed that using the SPIDES treatment to prevent the harmful effects of broiler eggs being stored for an extended period of time is a viable option.
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Affiliation(s)
- H M Okasha
- Animal Production Department, Faculty of Agriculture, Benha University, Moshtohor, 13736 Egypt
| | - G M El-Gendi
- Animal Production Department, Faculty of Agriculture, Benha University, Moshtohor, 13736 Egypt
| | - K M Eid
- Animal Production Research Institute, Agriculture Research Center, Giza, 12618 Egypt
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da Silva Pires PG, Bavaresco C, Moraes PDO. Hundred years of knowledge on table egg refrigeration. WORLD POULTRY SCI J 2022. [DOI: 10.1080/00439339.2022.2105276] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/15/2022]
Affiliation(s)
- Paula Gabriela da Silva Pires
- Faculdade de Agronomia, Department of Animal Science, Universidade Federal Do Rio Grande Do Sul, Campus of Porto Alegre-RS, Brazil
| | | | - Priscila de Oliveira Moraes
- School of Agricultural Sciences, Department of Animal Sciences and Rural Development, Universidade Federal de Santa Catarina, Campus of Florianópolis, Brazil
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Wang F, Lin H, Xu P, Bi X, Sun L. Egg Freshness Evaluation Using Transmission and Reflection of NIR Spectroscopy Coupled Multivariate Analysis. Foods 2021; 10:foods10092176. [PMID: 34574289 PMCID: PMC8465506 DOI: 10.3390/foods10092176] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2021] [Revised: 08/30/2021] [Accepted: 09/06/2021] [Indexed: 11/24/2022] Open
Abstract
This work presents a novel work for the detection of the freshness of eggs stored at room temperature and refrigerated conditions by the near-infrared (NIR) spectroscopy and multivariate models. The NIR spectroscopy of diffuse transmission and reflection modes was used to compare the quantitative and qualitative investigation of egg freshness. It was found that diffuse transmission is more conducive to the judgment of egg freshness. The linear discriminant analysis model (LDA) for pattern recognition based on the diffuse transmission measurement was employed to analyze egg freshness during storage. NIR diffuse transmission spectroscopy showed great potential for egg storage time discrimination in normal atmospheric conditions. The LDA model discrimination rated up to 91.4% in the prediction set, while only 25.6% of samples were correctly discriminated among eggs in refrigerated storage conditions. Furthermore, NIR spectra, combined with the synergy interval partial least squares (Si-PLS) model, showed excellent ability in egg physical index prediction under normal atmospheric conditions. The root means square error of prediction (RMSEP) values of Haugh unit, yolk index, and weight loss from predictive Si-PLS models were 4.25, 0.031, and 0.005432, respectively.
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Quan C, Xi Q, Shi X, Han R, Du Q, Forghani F, Xue C, Zhang J, Wang J. Development of predictive models for egg freshness and shelf-life under different storage temperatures. FOOD QUALITY AND SAFETY 2021. [DOI: 10.1093/fqsafe/fyab021] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
Abstract
The objective of the present study was to develop models for egg freshness and shelf-life predictions for the selected evaluation indicators including egg weight, Haugh unit (HU), and albumen height. Experiments were carried out at different storage temperatures for a total period of 29–32 days. All data were collected and fitted in to Arrhenius equation for egg freshness, while the HU data were applied to a probability model for shelf-life prediction. The results showed that egg weight, albumen height, and HU decreased significantly, while albumen pH increased with the extension of storage time. The higher the storage temperature, the faster the egg quality decreased. In addition, the bias factor, accuracy factor, and the standard error of prediction were selected to verify the developed quality models. Maximum rescaled R-square statistic, the Hosmer–Lemeshow goodness-of-fit statistic, and the receiver operating characteristic curve were used to evaluate the goodness-of-fit of the developed probability model for the shelf-life of eggs, which indicated that the presented predictive models can be used to assess egg freshness and predict shelf-life during different storage temperatures.
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Evaluating and predicting egg quality indicators through principal component analysis and artificial neural networks. Lebensm Wiss Technol 2021. [DOI: 10.1016/j.lwt.2021.111720] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Effect of Cladosporium cladosporioides on the Composition of Mycoflora and the Quality Parameters of Table Eggs during Storage. Processes (Basel) 2021. [DOI: 10.3390/pr9040613] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
The eggshells of 120 experimental one-day-old table eggs were contaminated with the spore suspension of Cladosporium cladosporioides, divided into three groups (A–C) and stored at three different temperatures (3 °C, 11 °C and 20 °C) for 28 days. Visible growth of molds on/in experimental eggs was not observed within the entire storage period. No significant differences in the numbers of molds were found between particular groups of eggs. However, the composition of egg mycoflora was greatly influenced by storage conditions. Three mold genera were identified using the PCR method. The highest mold numbers were determined on Day 14 (Groups A and C) and Day 21 (Group B) when the maximum relative humidity and dew point temperature were recorded. On the same days, the dominance of Penicillium spp. and the minimum eggshell firmness were observed. Noticeable changes in egg quality were observed in eggs stored at 20 °C, and most of these eggs were downgraded at the end of storage period. The growth ability differed significantly among three mold genera. Penicillium spp. and Fusarium spp. showed better growth intensity at increased values (0.91–0.94) of water activity (aw) indicating a possible risk associated with the occurrence of mycotoxins in the egg contents.
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Özlü S, Uçar A, Erkuş T, Yasun S, Nicholson AD, Elibol O. Effects of flock age, storage temperature, and short period of incubation during egg storage, on the albumen quality, embryonic development and hatchability of long stored eggs. Br Poult Sci 2021; 62:611-619. [PMID: 33555203 DOI: 10.1080/00071668.2021.1887454] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Abstract
1. The effect of breeder flock age, storage temperature and a short period of incubation during egg storage (SPIDES) on albumen quality, development of blastoderm, and hatchability of long-stored eggs was evaluated.2. Hatching eggs were collected from 28-week-old (young) and 40-week-old (prime) Ross female line grandparent flocks and were stored for 14 d at 12, 15 or 18°C. During storage, the eggs were either kept continuously in the storage room (control) or were subjected to SPIDES treatment.3. Embryonic development was more advanced in eggs from the prime flock, exposed to SPIDES and warmer (18°C) storage temperature (P ≤ 0.05). There was a difference in the albumen pH for flock ages (P < 0.05), but the SPIDES treatment did not affect albumen height and pH (P > 0.05). On d 14 of storage, albumen pH was positively (P < 0.05) correlated with storage temperature. Hatchability was higher in the prime flock (P < 0.05).4. At both flock ages, hatchability increased (P < 0.05) by storing the eggs at 15°C, compared to 18°C, with 12°C intermediate. The hatchability improvement was due to reduced early embryonic mortality.5. The SPIDES treatment decreased late embryonic mortality and the percentage of second-grade chicks (P < 0.05), which increased the hatchability of fertile eggs (P < 0.05). SPIDES only reduced (P < 0.05) early embryonic mortality in eggs stored at 18°C.6. The highest hatchability was observed in the eggs stored at 15°C and exposed to one SPIDES treatment during 14 d storage.
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Affiliation(s)
- S Özlü
- Department of Animal Science, Faculty of Agriculture, Ankara University, Ankara, Turkey
| | - A Uçar
- Department of Animal Science, Faculty of Agriculture, Ankara University, Ankara, Turkey
| | - T Erkuş
- Aviagen Ltd, Newbridge, Midlothian, UK
| | - S Yasun
- Aviagen Anadolu, Ankara, Turkey
| | | | - O Elibol
- Department of Animal Science, Faculty of Agriculture, Ankara University, Ankara, Turkey
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Tan W, Zhang Q, Yang L, Tian L, Jia J, Lu M, Liu X, Duan X. Actual time determination of egg freshness: A centroid rate based approach. Food Packag Shelf Life 2020. [DOI: 10.1016/j.fpsl.2020.100574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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