Non-destructive detection of egg freshness based on Raman spectroscopy

Patent metadata

Field	Value
Publication number	US-12422366-B2
Application number	US-202117214809-A
Country	US
Kind code	B2
Filing date	Mar 27, 2021
Priority date	Jan 9, 2020
Publication date	Sep 23, 2025
Grant date	Sep 23, 2025

Abstract

Disclosed is a method for non-destructive detection of egg freshness based on Raman spectroscopy technology, which belongs to the field of food detection. Partial least squares regression models are built using Raman spectroscopic data and measured values of physicochemical indexes for egg freshness, which can be used to predict egg freshness based on Raman spectrum of egg shell surface. The Raman spectroscopic data are collected in the waveband of 100-3000 cm −1 . The physicochemical indexes used in the invention include the Haugh unit, the albumen pH, the air chamber diameter and the air chamber height. By using the partial least squares model, values of physicochemical index for egg freshness can be obtained from Raman spectra collected on egg shell surfaces, thus achieving the goal of non-destructive detection of egg freshness.

First claim

What is claimed is:

1. A method for non-destructive detection of egg freshness, comprising:
(1) acquiring Raman spectral data on surfaces of sample eggs;
(2) measuring values of a physicochemical index for egg freshness of the sample eggs, wherein the physicochemical index for egg freshness is Haugh unit, albumen pH, air chamber diameter or air chamber height;
(3) pretreating the Raman spectral data using selected pretreatment methods, wherein the pretreatment method is first derivative for predicting physicochemical values of air chamber diameter or air chamber height, and wherein the pretreatment method is second derivative for predicting values of Haugh unit or albumen pH,
(4) building a partial least squares regression (PLSR) model using the pretreated Raman spectral data and the measured values of the physicochemical index; and
(5) using the PLSR model and a Raman spectrum of a test egg to obtain a value of the physicochemical index and using the obtained physicochemical index value to detect the freshness of the test egg without breaking the test egg,
wherein parameters for acquiring the Raman spectral data are as follows: excitation wavelength is 785 nm, acquisition waveband is 100-3000 cm −1 , acquisition time is 5 s, the acquisition is performed for 3 times, and distance from a probe to the egg surface is 6 mm.

2. The method of claim 1 , wherein a position for acquiring Raman spectral data is egg top, egg bottom or egg waist.

3. The method of claim 2 , wherein the Raman spectral data used for building the PLSR model are Raman spectral data acquired at a single position.

4. The method of claim 2 wherein the Raman spectral data used for building the PLSR model are average data of three Raman spectral data acquired at the three positions.

Assignees

• Xie Yunfei
• Liu Yuliang
• Yu Hang
• Yao Weirong
• Guo Yahui
• Cheng Yuliang
• Zhang Yichi
• Univ Jiangnan

Inventors

• Xie Yunfei
• Liu Yuliang
• Yu Hang
• Yao Weirong
• Guo Yahui
• Cheng Yuliang
• Zhang Yichi

Classifications

• G06F17/18

  for evaluating statistical data {, e.g. average values, frequency distributions, probability functions, regression analysis (forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04)} · CPC title

• G01N33/08

  Eggs, e.g. by candling · CPC title

• G01N2201/0221

  Portable; cableless; compact; hand-held · CPC title

• G01N2201/129

  Using chemometrical methods · CPC title

• G01N21/65 Primary

  Raman scattering · CPC title