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.
Highlights
An egg is an organic vessel that is vulnerable to internal and external environmental factors, causing quality deterioration during storage
NIR spectroscopy technology has a wide range of research and application in food and pharmaceutical detection, which can realize the detection on the internal and external quality
The results indicated that the freshness of eggs could be predicted by the Haugh Unit (HU) regression model, as it reflected the combinations among temperature, humidity, and airflow velocity [4]
Summary
An egg is an organic vessel that is vulnerable to internal and external environmental factors, causing quality deterioration during storage. The traditional detection methods of egg quality are manual sorting and chemical analysis. This method has higher accuracy, but this method is destructive and has a great wastage. With the development of computer science and non-destructive technology, spectral analysis has become a means of detection. NIR spectroscopy technology has a wide range of research and application in food and pharmaceutical detection, which can realize the detection on the internal and external quality. This method has the advantages of simple operation, low cost, rapid non-destructive testing effect, and mature development at home and abroad
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