The current research status of non-destructive testing technologies for egg quality: internal freshness – a review

1. Traditional methods of assessing egg freshness, such as sensory evaluation and specific gravity testing, are labour-intensive and destructive. However, non-destructive testing (NDT) technologies offer significant advantages in terms of speed, accuracy and non-invasiveness, enabling real-time monitoring of egg quality during production, transportation, storage and sale.2. A review was conducted to evaluate various NDT techniques, including optical methods (such as visible - near infrared spectroscopy and hyperspectral imaging), acoustic methods (such as ultrasonic transmission and reflection analysis), electrical methods (such as dielectric spectroscopy) and emerging technologies (such as low-field nuclear magnetic resonance, electronic nose and infrared thermal imaging).3. These technologies have advanced significantly in accuracy and real-time performance. Among optical methods: visible - near infrared spectroscopy (R<sup>2</sup> = 0.90) and hyperspectral imaging (R<sup>2</sup> = 0.918). Acoustic technologies: ultrasonic phase velocity correlated significantly with Haugh unit (HU)/air cell height (<i>p</i> < 0.05), with a HU model correlation of R<sup>2</sup> = 0.87. Electrical methods: dielectric spectroscopy + algorithms achieved 100% classification accuracy; capacitive sensing + machine vision yielded R<sup>2</sup> > 0.994. Emerging technologies enhanced sensitivity. However, challenges remain in terms of equipment cost, sample variability, lack of unified standards and the integration of multi-source data with artificial intelligence.4. The widespread application of these technologies can be expected to significantly improve the efficiency, safety and sustainability of the egg supply chain.

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Publication Details

Journal
British Poultry Science
Published
2025-10-03
DOI
https://doi.org/10.1080/00071668.2025.2552785
Primary Topic
Identification and Quantification in Food
Type
article
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article

The current research status of non-destructive testing technologies for egg quality: internal freshness – a review

Jie Cai, Binyu Pan, Zhaohong Shi, Feng Zhang et al.
British Poultry Science
Identification and Quantification in Food
article

The current research status of non-destructive testing technologies for egg quality: internal freshness – a review

Jie Cai, Binyu Pan, Zhaohong Shi, Feng Zhang, Wenhui Zhu, Q. Li, Yu Qiao, Chaojie Wang, Li Sun, Juan Bai
article en

Abstract

1. Traditional methods of assessing egg freshness, such as sensory evaluation and specific gravity testing, are labour-intensive and destructive. However, non-destructive testing (NDT) technologies offer significant advantages in terms of speed, accuracy and non-invasiveness, enabling real-time monitoring of egg quality during production, transportation, storage and sale.2. A review was conducted to evaluate various NDT techniques, including optical methods (such as visible - near infrared spectroscopy and hyperspectral imaging), acoustic methods (such as ultrasonic transmission and reflection analysis), electrical methods (such as dielectric spectroscopy) and emerging technologies (such as low-field nuclear magnetic resonance, electronic nose and infrared thermal imaging).3. These technologies have advanced significantly in accuracy and real-time performance. Among optical methods: visible - near infrared spectroscopy (R<sup>2</sup> = 0.90) and hyperspectral imaging (R<sup>2</sup> = 0.918). Acoustic technologies: ultrasonic phase velocity correlated significantly with Haugh unit (HU)/air cell height (<i>p</i> < 0.05), with a HU model correlation of R<sup>2</sup> = 0.87. Electrical methods: dielectric spectroscopy + algorithms achieved 100% classification accuracy; capacitive sensing + machine vision yielded R<sup>2</sup> > 0.994. Emerging technologies enhanced sensitivity. However, challenges remain in terms of equipment cost, sample variability, lack of unified standards and the integration of multi-source data with artificial intelligence.4. The widespread application of these technologies can be expected to significantly improve the efficiency, safety and sustainability of the egg supply chain.

British Poultry Science
Jiangsu University (CN)
Openalex Percentile: Top 76%
Identification and Quantification in Food
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