Non-destructive internal quality assessment of eggs using a synthesis of hyperspectral imaging and multivariate analysis

Zhang, Wei; Pan, Leiqing; Tu, Sicong; Ge, Zhan; Tu, Kang

doi:10.1016/j.jfoodeng.2015.02.013

Cited by 64 publications

(32 citation statements)

References 30 publications

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“…Food security promotes healthy and nutritious food; monitoring of health status and control of transport conditions must be rigorous to ensure good quality of imported eggs; because these products imported into Niger come from the neighboring country, without any information on the quality of the breeding conditions of laying hens that gave these eggs (Zhang et al, 2015) nor information on the packaging and transport conditions prior to entering Niger. However, despite the fact that eggs are stored in cardboard boxes for their physical safety, eggs are often transported from the neighboring country in poor conditions, often on motorcycles, exposed to the sun, which could further affect the safety and quality of these eggs.…”

Section: Eggs-productsmentioning

confidence: 99%

Status of Some Food Quality Prevalent in Niger: A Review

Amadou¹,

Diadie²,

Soumana³

et al. 2019

MAS

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Food safety considers all risks, chronic or acute, that can make the food harmful to the health of the consumers. Many food-borne hazards come from the lack of hygiene throughout the chain of processing and distribution. The purpose of this work is to address food safety problems as perceived by the consumers in Niger through traditions, stories and experiences. The food produced and consumed in Niger has been the source of collective or individual food poisoning due to the lack of good quality control. Each actor in Niger’s food production and distribution chain bears responsibility to take the necessary steps to ensure that the products placed on the market do not pose a risk to the health of consumers.

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Section: Eggs-productsmentioning

confidence: 99%

Status of Some Food Quality Prevalent in Niger: A Review

Amadou¹,

Diadie²,

Soumana³

et al. 2019

MAS

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“…The most studies aimed to evaluate this type of food by using HSI have been applied to inspect quality attributes such as polyunsaturated fatty acids content (omega-3), [183] freshness, bubble formation, or scattered yolk. [184] There is no comprehensive information available regarding the application of HSI to evaluate microbial contamination in these food products.…”

Section: Microbial Contamination In Eggsmentioning

confidence: 99%

Evaluation of biological contaminants in foods by hyperspectral imaging: A review

Mantilla

Jara

Yimer

2017

International Journal of Food Properties

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Responding to the ever-growing concern about safe foods and security, the food industries are forced to seek an emerging technology capable of detecting and quantifying contaminations, especially those of biological origin. Among the different emerging technologies, hyperspectral imaging is considered a good alternative as it can be easily applied at all steps of the food production process and is a non-destructive technique. This paper reviews targeted analytical applications of hyperspectral imaging in monitoring biological contaminants in food. First, traditional techniques for detection of biological contaminants in foods are presented, where disadvantages for practical applications are highlighted and explained in detail. Second, prominent applications of hyperspectral imaging from the last decade to food safety and quality assessment are reviewed, specifically focusing on both deteriorative and pathogenic microorganisms, microbial toxins, and parasites; whether acting individually or collectively in spoiling food products and/or represent a health risk to the consumers. Finally, relevant current and future challenges, advantages and disadvantages of hyperspectral imaging applications are briefly examined.

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“…Therefore, non-destructive testing technology has significant advantages in the detection of egg freshness and has attracted wide attention. Currently, egg freshness is tested using non-destructive techniques of spectral analysis [ 2 , 3 ], dielectric property [ 4 , 5 ], electronic nose [ 6 , 7 ], machine vision [ 8 , 9 ], and hyperspectral testing [ 10 , 11 , 12 ]. Especially, machine vision method was established for egg freshness with an R (correlation coefficient) value of 0.8653 [ 8 ].…”

Section: Introductionmentioning

confidence: 99%

Nondestructive Detection for Egg Freshness Based on Hyperspectral Scattering Image Combined with Ensemble Learning

Dai

Jiang

Lü

et al. 2020

Sensors

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Scattering hyperspectral technology is a nondestructive testing method with many advantages. Here, we propose a method to improve the accuracy of egg freshness, research the influence of incident angles of light source on the accuracy, and explain its mechanism. A variety of weak classifiers classify eggs based on the spectra after preprocessing and feature wavelength extraction to obtain three classifiers with the highest accuracy. The three classifiers are used as metamodels of stacking ensemble learning to improve the highest accuracy from 96.25% to 100%. Moreover, the highest accuracy of scattering, reflection, transmission, and mixed hyperspectral of eggs are 100.00%, 88.75%, 95.00%, and 96.25%, respectively, indicating that the scattering hyperspectral for egg freshness detection is better than that of the others. In addition, the accuracy is inversely proportional to the angle of incidence, i.e., the smaller the incident angle, the camera collects a larger proportion of scattering light, which contains more biochemical parameters of an egg than that of reflection and transmission. These results are very important for improving the accuracy of non-destructive testing and for selecting the incident angle of a light source, and they have potential applications for online non-destructive testing.

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Non-destructive internal quality assessment of eggs using a synthesis of hyperspectral imaging and multivariate analysis

Cited by 64 publications

References 30 publications

Status of Some Food Quality Prevalent in Niger: A Review

Status of Some Food Quality Prevalent in Niger: A Review

Evaluation of biological contaminants in foods by hyperspectral imaging: A review

Nondestructive Detection for Egg Freshness Based on Hyperspectral Scattering Image Combined with Ensemble Learning

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