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

页码：531 / 536

页数：6

共 50 条

[31] Near-Infrared spectroscopy and hyperspectral imaging for non-destructive quality assessment of cereal grains
Caporaso, Nicola
Whitworth, Martin B.
Fisk, Ian D.
APPLIED SPECTROSCOPY REVIEWS, 2018, 53 (08) : 667 - 687
[32] Rapid and non-destructive detection of insect infestations on intact mango by means of near infrared spectroscopy
Sudarjat
Kusumiyati
Hasanuddin
Munawar, A. A.
INTERNATIONAL CONFERENCE ON AGRICULTURAL TECHNOLOGY, ENGINEERING AND ENVIRONMENTAL SCIENCES 2019, 2019, 365
[33] Rapid and non-destructive determination of quality parameters in the 'Tommy Atkins' mango using a novel handheld near infrared spectrometer
Nascimento Marques, Emanuel Jose
de Freitas, Sergio Tonetto
Pimentel, Maria Fernanda
Pasquini, Celio
FOOD CHEMISTRY, 2016, 197 : 1207 - 1214
[34] Prediction of Egg Freshness and Albumen Quality Using Visible/Near Infrared Spectroscopy
Nicolas Abdel-Nour
Michael Ngadi
Shiv Prasher
Yousef Karimi
Food and Bioprocess Technology, 2011, 4 : 731 - 736
[35] Prediction of Egg Freshness and Albumen Quality Using Visible/Near Infrared Spectroscopy
Abdel-Nour, Nicolas
Ngadi, Michael
Prasher, Shiv
Karimi, Yousef
FOOD AND BIOPROCESS TECHNOLOGY, 2011, 4 (05) : 731 - 736
[36] Non-destructive prediction of yak meat freshness indicator by hyperspectral techniques in the oxidation process
Dong, Kai
Guan, Yufang
Wang, Qia
Huang, Yonghui
An, Fengping
Zeng, Qibing
Luo, Zhang
Huang, Qun
FOOD CHEMISTRY-X, 2023, 17
[37] Non-destructive freshness assessment of shell eggs using FT-NIR spectroscopy
Giunchi, Alessandro
Berardinelli, Annachiara
Ragni, Luigi
Fabbri, Angelo
Silaghi, Florina Aurelia
JOURNAL OF FOOD ENGINEERING, 2008, 89 (02) : 142 - 148
[38] Non-destructive determination of β-carotene content in mango by near-infrared spectroscopy compared with colorimetric measurements
Rungpichayapichet, Parika
Mahayothee, Busarakorn
Khuwijitjaru, Pramote
Nagle, Marcus
Mueller, Joachim
JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2015, 38 : 32 - 41
[39] Non-destructive evaluation of avocado fruit maturity using near infrared spectroscopy and PLS regression models
Olarewaju, Olaoluwa Omoniyi
Bertling, Isa
Magwaza, Lembe Samukelo
SCIENTIA HORTICULTURAE, 2016, 199 : 229 - 236
[40] Non-destructive detection of foreign contaminants in toast bread with near infrared spectroscopy and computer vision techniques
Yin, Jifan
Hameed, Saima
Xie, Lijuan
Ying, Yibin
JOURNAL OF FOOD MEASUREMENT AND CHARACTERIZATION, 2021, 15 (01) : 189 - 198

← 1 2 3 4 5 →