Rapid determination of lamb meat freshness using the hyperspectral imaging combined with symmetric stacking ensemble algorithm

Freshness is a key indicator in determining the quality of lamb meat. This study explores the feasibility of a rapid detection method for assessing lamb meat freshness through hyperspectral imaging. The variations in total volatile basic nitrogen (TVB-N), total viable count (TVC), pH, and lightness...

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Veröffentlicht in:	Meat science Jg. 228; S. 109892
Hauptverfasser:	Zhang, Jue, Tian, Haiqing, Gong, Maoguo, Zhang, Lina, Zhao, Kai, Yu, Yang, Zhao, Hongyu, Zhang, Xinzhuang
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	England Elsevier Ltd 01.10.2025
Schlagworte:	Algorithms Animals biomarkers Food Quality Food Storage Freshness Hydrogen-Ion Concentration Hyperspectral imaging (HSI) Hyperspectral Imaging - methods Lamb meat meat science Nitrogen - analysis Nondestructive determination plate count rapid methods Red Meat - analysis Red Meat - microbiology Sheep Sheep, Domestic Stacking ensemble learning storage time Support Vector Machine temporal variation total volatile basic nitrogen wavelengths Freshness Lamb meat Nondestructive determination Hyperspectral imaging (HSI) Stacking ensemble learning
ISSN:	0309-1740, 1873-4138, 1873-4138
Online-Zugang:	Volltext
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