Non-Destructive Measurement of the Egg Freshness by Near Infrared Spectrometry

被引：4
|
作者：
Kim, Sang Ho [1 ]
Lee, Sang Jin [1 ]
Lee, Duk Su [1 ]
Cho, Won Bo [2 ]
Lee, Seong Hun [2 ]
Borden, Stuart [2 ]
Woo, Young A. [2 ]
Kim, Hyo Jin [3 ]
机构：
[1] Natl Livestook Res Inst, Poultry Sci Div, Suwon 441706, South Korea
[2] Spectrontech Co Ltd, Inst Dev, Seongnam, South Korea
[3] Dongduk Womens Univ, Dept Pharm, Seoul 136714, South Korea
来源：
JOURNAL OF THE KOREAN CHEMICAL SOCIETY-DAEHAN HWAHAK HOE JEE | 2005年 / 49卷 / 06期
关键词：
NIR Spectroscopy; Nondestructive Analysis; PLSR; Egg Quality; Haugh Unit;
D O I：
10.5012/jkcs.2005.49.6.531
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
The objective of this study was to develop a non-destructive, rapid and accurate analytical method to measure the quality(freshness) of egg. Near-infrared(NIR) spectra of 48 egg samples ranging from 70 HU(Haugh Unit) from 100 HU, PLSR(Partial Least Squares Regression) was used to build calibration model using the multiplicative scatter correction spectra in the 1100 similar to 1750 nm range. The results were very promising with correlation coefficient of 0.99 and standard error of prediction(SEP) of 1.35 HU. The overall results suggest that NIR spectroscopy can be used for rapid non-invasive determination of egg quality.
引用
收藏
页码：531 / 536
页数：6
相关论文
共 50 条
  • [1] Advances in Emerging Non-Destructive Technologies for Detecting Raw Egg Freshness: A Comprehensive Review
    Atwa, Elsayed M.
    Xu, Shaomin
    Rashwan, Ahmed K.
    Abdelshafy, Asem M.
    Elmasry, Gamal
    Al-Rejaie, Salim
    Xu, Haixiang
    Lin, Hongjian
    Pan, Jinming
    FOODS, 2024, 13 (22)
  • [2] Assessment of eggplant freshness using non-destructive techniques
    Babellahi, F.
    Tsouvaltzis, P.
    Amodio, M. L.
    Colelli, G.
    VI INTERNATIONAL SYMPOSIUM ON APPLICATIONS OF MODELLING AS AN INNOVATIVE TECHNOLOGY IN THE HORTICULTURAL SUPPLY CHAIN MODEL-IT 2019, 2021, 1311 : 149 - 155
  • [3] Spectroscopic approaches for non-destructive shell egg quality and freshness evaluation: Opportunities and challenges
    Loffredi, Eleonora
    Grassi, Silvia
    Alamprese, Cristina
    FOOD CONTROL, 2021, 129
  • [4] Non-destructive detection of freshness in crayfish (Procambarus clarkii) based on near-infrared spectroscopy combined with deep learning
    Han, Qing-li
    Lu, Jian-feng
    Zhu, Jiao-jiao
    Lin, Lin
    Zheng, Zhi
    Jiang, Shao-tong
    FOOD CONTROL, 2025, 168
  • [5] Real-time and non-destructive control of the freshness and viability of live mussels through portable near-infrared spectroscopy
    Ghidini, Sergio
    Varra, Maria Olga
    Bersellini, Davide
    Conter, Mauro
    Fabrile, Maria Pia
    Ianieri, Adriana
    Zanardi, Emanuela
    FOOD CONTROL, 2024, 160
  • [6] Non-destructive measurements of the egg quality
    De Ketelaere, B
    Bamelis, F
    Kemps, B
    Decuypere, E
    De Baerdemaeker, J
    WORLDS POULTRY SCIENCE JOURNAL, 2004, 60 (03) : 289 - 302
  • [7] Developing a non-destructive method for the detection of egg quality and freshness using micro-Raman spectroscopy
    Davari, Maryam
    Bahreini, Maryam
    Sabzevari, Zahra
    APPLIED FOOD RESEARCH, 2024, 4 (02):
  • [8] Near Infrared Non-Destructive Inspection of Inner Qualities by Multivariate Analysis
    Chen, Chih-Wen
    Lee, Yih-Shing
    Ying, Shang-Ping
    Ku, Chien-Kuo
    Hsu, Ming-Ying
    INTERNATIONAL CONFERENCE ON OPTICS IN PRECISION ENGINEERING AND NANOTECHNOLOGY (ICOPEN2013), 2013, 8769
  • [9] Near-infrared Reflectance Spectroscopy as a Rapid and Non-destructive Analysis Tool for Curcuminoids in Turmeric
    Kim, Young-Jun
    Lee, Hyong Joo
    Shin, Han-Seung
    Shin, Youngjae
    PHYTOCHEMICAL ANALYSIS, 2014, 25 (05) : 445 - 452
  • [10] Non-destructive prediction of quality of intact apple using near infrared spectroscopy
    Jha, S. N.
    Ruchi, Garg
    JOURNAL OF FOOD SCIENCE AND TECHNOLOGY-MYSORE, 2010, 47 (02): : 207 - 213
12345