Effect of detergent type on egg quality deterioration parameters during storage
Data files
Apr 30, 2026 version files 38.60 KB
Abstract
In egg production, washing prior to packaging is essential to reduce microbial risks without compromising quality. This study evaluated the impact of detergent treatments on egg quality during storage. A total of 1,080 one-day-old eggs were randomly assigned to nine treatments (unwashed, Bioxi2, Bioxi6, Lacti600, Lacti800, Det500, Det800, Ton200, Ton500) and stored for 35 days. Every seven days, eggs were analyzed for weight, Haugh units, albumen height, shell strength and thickness, yolk color, height, diameter, and yolk index. Results indicated that AA grade eggs were most susceptible to deterioration: storage time significantly reduced Haugh units and albumen height, with detergents modulating albumen height. Shell strength and thickness varied by treatment, with Det500 reducing strength, while Bioxi2, Lacti800, and Det800 enhanced it; Det800 also increased thickness. Yolk height and index declined across treatments, whereas yolk diameter showed complex interactions among storage, treatment, and grade. Yolk color was influenced by storage, grade, and treatment, though detergent effects were minor. Overall, detergents had limited impact on shell and yolk parameters in A and B grade eggs, while AA grade eggs were more vulnerable to declines in albumen height, Haugh units, yolk diameter, and yolk color. Storage conditions remained the dominant driver of deterioration.
Dataset DOI: 10.5061/dryad.9p8cz8wzt
Description of the data and file structure
Files and variables
File: Dataset_of_experimental_vectors_in_egg_production__28280126_29.csv
Description: In egg production, washing prior to packaging is essential to reduce microbial risks without compromising quality. This dataset compiles the impact of detergent treatments on egg quality during storage, clarifying their influence on product quality and shelf life. This study was conducted without external funding, as a private initiative exploring new alternatives for egg washing.
Variables
- storage time: 0: initial; 1: 7 days; 2: 14 days; 3: 21 days; 4: 28 days and 5: 35 days after washing).
- treatments: (1. unwashed (control); 2. BIOXI2; 3. BIOXI6; 4. LACTI600; 5. LACTI800; 6. DET500; 7. DET800; 8. TON200; 9. TON500). Repetition (12 per treatment per week).
- Repetition
- Egg weight (g).
- Albumen height (mm).
- Egg yolk color (YolkFan scale, 16 levels).
- HU Range (AA, A, B).
- Shell strength (N).
- Shell thickness (mm).
- Egg yolk height (mm).
- Egg yolk diameter (mm).
- Egg yolk index (ratio: height/diameter)
Measurement methods: Digital autoanalyzer egg tester (DET6500, Nabel). Shell strength measured via low-speed press until breakage. Shell thickness measured with integrated caliper. Albumen height measured optically with parallel light beam. HU calculated as: HU = 100 × log(H – 1.7W^0.37 + 7.6). Yolk color measured optically (YolkFan scale). Yolk index = yolk height / yolk diameter.
Coordinates: Farm located 25 km north of Melipilla, Metropolitan Region (33°41′20.7″ S, 71°12′55″ W).
Sampling period: November 24, 2025 – January 14, 2026.
Sampling times: 0, 7, 14, 21, 28, 35 days.
Treatment details: 1.080 one-day-old Hy-Line W-80 eggs (extra size, 64.5 ± 2.02 g). Random assignment to nine treatments. Detergents diluted in 20 L water, applied via classifier-washer machine.
Sample handling: Eggs packed in trays of 20, sealed with porous plastic, stored at 25 °C for 35 days. Weekly sampling: one tray per treatment, 12 eggs randomly selected. Microbiological data excluded.
Code/software
All statistical analyses were performed using R . Egg quality traits, including HU, albumen height, shell strength, shell thickness, yolk height, yolk diameter, yolk index, yolk color, and egg weight, were analyzed using linear models to evaluate the effects of storage time, treatment, egg grade, and interactions. Storage time and treatment were treated as fixed effects, and egg grade was included as a fixed categorical factor. Full factorial models were initially fitted for each response variable. When significant higher-order interactions were detected, simple effects were explored within egg size categories.
To evaluate temporal trends, storage time was additionally modeled as a continuous variable to estimate treatment-specific rates of change over time. Slopes were obtained using estimated marginal trends with the emmeans package, and pairwise comparisons among treatments were performed using Tukey-adjusted P-values. When interactions involving treatment were not significant, reduced models excluding non-significant interaction terms were used to estimate adjusted marginal means.
Model assumptions were assessed through visual inspection of residual plots and Q–Q plots. Influential observations were evaluated using Cook’s distance. No data transformation was required. Effect sizes were quantified using partial eta-squared (η²) derived from ANOVA tables. Statistical significance was declared at P < 0.05. Graphical representations were generated using ggplot2, and results are presented as estimated marginal means ± 95% confidence intervals.
Access information
Other publicly accessible locations of the data:
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Data was derived from the following sources:
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A total of 1,080 one-day-old Hy-Line W-80 eggs all with a uniform extra size (64,5 ± 2.02 g) were selected from a YAMASA ECB-9642 classifier-washer machine and randomly assigned to one of nine treatments: unwashed (Control), Bioxi2, Bioxi6, Lacti600, Lacti800, Det500, Det800, Ton200 and Ton500. Each detergent was prepared by dilution in 20 L of water, starting with the lowest concentration, and applied by spraying inside the classifier-washer machine. This was followed by the application of Poweroil Pearl L85 spray to accelerate drying. After detergent application, the eggs from each treatment were packed in trays of 20 eggs (6 trays / treatment), sealed with porous plastic, and stored at 25 °C for 35 days. Starting from the first day of storage, every seven days one tray from each of the nine treatments was randomly selected, and 12 eggs were further chosen at random from each tray.
2.4. Sampling analysis
Each of the twelve eggs selected weekly from each tray/treatment was individually placed into a digital autoanalyzer egg tester model DET6500, Nabel. The eggs were weighed and subsequently subjected to a low-speed press until breakage occurred, to determine shell strength. Shell thickness was measured using the integrated caliper. Thereafter, each egg was broken and placed on a plastic plate positioned at the center of the digital egg tester, which scanned the sample to assess internal quality, primarily represented by Haugh units and yolk index.
Using a parallel light beam, the device measured the height of the thick albumen (albumen height). The HU score indicates egg quality, determined by the height of the albumen surrounding the yolk in the broken egg (H), combined with the egg weight (W). A higher HU score reflects greater egg quality [HU=100 x log (H-1.7W^0.37^+7.6)].
The yolk color was determined optically using a 16‑level YolkFan scale. Yolk height was measured optically with a parallel light beam, which recorded the height of the yolk in the broken egg. The yolk index was calculated using the formula: yolk height of the broken egg on a flat surface divided by yolk diameter.