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Rapid and Nondestructive Determination of Egg Freshness Category and Marked Date of Lay using Spectral Fingerprint
Joint Authors
Teye, Ernest
Akowuah, Thomas O. S.
Hagan, Julius
Nyandey, Kwasi
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-15
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The potential of nondestructive prediction of egg freshness based on near-infrared (NIR) spectra fingerprints would be beneficial to quality control officers and consumers alike.
In this study, handheld NIR spectrometer in the range of 740 nm to 1070 nm and chemometrics were used to simultaneously determine egg freshness based on marked date of lay for eggs stored under cold and ambient conditions.
The spectra acquired from the eggs were preprocessed using multiplicative scatter correction and principal component analysis (MSC-PCA).
Linear discriminant analysis (LDA) was used to build identification model to predict the category of freshness, while partial least square regression (PLS-R) was used to determine the marked date of lay.
The performance of LDA model was above 95% identification rate in both calibration and prediction set for the eggs stored under ambient and cold storage.
For eggs stored in ambient storage, LDA had 95.54% identification rate at 5 principal components, while at cold storage LDA has 100% identification rate at 5 principal components for determining the marked date of lay, and partial least square regression (PLS-R) gave R = 0.87 and RMSEI = 2.57 for ambient storage and R = 0.88 and RMSEI = 2.66 for cold storage in independent set, respectively.
The results show that handheld spectrometer and multivariate analysis could be used for rapid and nondestructive measurement of egg freshness.
This provides a novel solution for egg integrity prediction along the value chain.
American Psychological Association (APA)
Akowuah, Thomas O. S.& Teye, Ernest& Hagan, Julius& Nyandey, Kwasi. 2020. Rapid and Nondestructive Determination of Egg Freshness Category and Marked Date of Lay using Spectral Fingerprint. Journal of Spectroscopy،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1190843
Modern Language Association (MLA)
Akowuah, Thomas O. S.…[et al.]. Rapid and Nondestructive Determination of Egg Freshness Category and Marked Date of Lay using Spectral Fingerprint. Journal of Spectroscopy No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1190843
American Medical Association (AMA)
Akowuah, Thomas O. S.& Teye, Ernest& Hagan, Julius& Nyandey, Kwasi. Rapid and Nondestructive Determination of Egg Freshness Category and Marked Date of Lay using Spectral Fingerprint. Journal of Spectroscopy. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1190843
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1190843