Egg Freshness Evaluation Using Transmission and Reflection of NIR Spectroscopy Coupled Multivariate Analysis

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.

Egg Freshness Indexes Correlations with Ovomucin Concentration during Storage

“…Not only do eggs provide a signifcant amount of highquality protein, but they are also economical and indispensable in customers' daily lives, and their freshness has a signifcant impact on consumers' food safety. Te evaluation and prediction of egg quality during storage, as well as its relationship to storage time, have been a hot topic of research in the feld of food processing and preservation, as egg age (i.e., the storage time of eggs) does not accurately refect their true freshness under diferent storage conditions [21]. Terefore, it has been proposed to determine the freshness of eggs under various storage conditions by calculating their equivalent egg age [22].…”

Monitoring the quality changes and freshness assessment of eggs based on chemometrics method

“…Studies on the shelf‐life of white mushrooms (Taghizadeh et al, 2010), jalapeno peppers (Delwiche et al, 2019), and spinach (Lara et al, 2013) are some of them. There are also some studies in which NIR spectroscopy was used with the MASLT method for shelf‐life analyses (Chaudhry et al, 2018; Cruz‐Tirado, J., et al, 2021; Pedro & Ferreira, 2009) and also for eggs (Wang et al, 2021). Furthermore, in a study PCA‐based NIR‐hyperspectral imaging was used for shelf‐life estimation of chia seeds (Cruz‐Tirado, J. P., et al, 2021).…”

Simultaneous determination of pigments of spinach (Spinacia oleracea L.) leaf for quality inspection using hyperspectral imaging and multi-task deep learning regression approaches

“…Some common single-task regression models for various food quality studies are partial least square regression (PLSR), support vector regression (SVR), multiple linear regression (MLR), back-propagation neural networks (BPNN), least-square support vector machine (LS-SVM), etc. ( Liu et al, 2021 ; Wang, Lin, Xu, Bi, & Sun, 2021 ; Zhuang et al, 2022 ). From the above research, it can be seen that the evaluation of food quality is mostly achieved by establishing a single-task model.…”