Integrated spectral and textural features of hyperspectral imaging for prediction and visualization of stearic acid content in lamb meat

Y Wang, C Wang, F Dong, S Wang - Analytical Methods, 2021 - pubs.rsc.org
Stearic acid content is an important factor affecting mutton odor. To determine the
distribution and content of stearic acid (C18: 0) in lamb meat fast and nondestructively, a …

Combination of spectra and texture data of hyperspectral imaging for prediction and visualization of palmitic acid and oleic acid contents in lamb meat

C Wang, S Wang, X He, L Wu, Y Li, J Guo - Meat Science, 2020 - Elsevier
The feasibility of combining spectral and textural information from hyperspectral imaging to
improve the prediction of the C16: 0 and C18: 1 n9 contents for lamb was explored. 29 and …

Combination of spectra and texture data of hyperspectral imaging for prediction of pH in salted meat

D Liu, H Pu, DW Sun, L Wang, XA Zeng - Food chemistry, 2014 - Elsevier
This study was carried out to investigate the feasibility of combining spectral with texture
features in order to improve pH prediction for salted pork. Average spectra were extracted …

Rapid evaluation of texture parameters of Tan mutton using hyperspectral imaging with optimization algorithms

J Zhang, Y Ma, G Liu, N Fan, Y Li, Y Sun - Food Control, 2022 - Elsevier
The detection of meat texture is of great value because it is the key factor that drives
consumer purchasing decisions. In this study, a hyperspectral imaging (HSI) system was …

Fusion of spectral and textural data of hyperspectral imaging for glycine content prediction in beef using SFCN algorithms

Y Lv, F Dong, J Cui, J Hao, R Luo, S Wang… - Food Analytical …, 2023 - Springer
Glycine, the simplest free amino acid. It is one of the important factors affecting the flavor of
beef. In this study, a fast and non-destructive method combining near-infrared hyperspectral …

[HTML][HTML] Combination of spectral and textural features of hyperspectral imaging for the authentication of the diet supplied to fattening cattle

S León-Ecay, K Insausti, S Arazuri, I Goenaga… - Food Control, 2024 - Elsevier
This study explored the potential of hyperspectral imaging in the near infrared region (NIR-
HSI) as a non-destructive and rapid tool to discriminate among two beef fattening diets. For …

Non-destructive prediction and visualization of chemical composition in lamb meat using NIR hyperspectral imaging and multivariate regression

M Kamruzzaman, G ElMasry, DW Sun… - Innovative Food Science & …, 2012 - Elsevier
The main goal of this study was to investigate the potential of hyperspectral imaging in the
near-infrared (NIR) range of 900–1700nm for non-destructive prediction of chemical …

Chemical spoilage extent traceability of two kinds of processed pork meats using one multispectral system developed by hyperspectral imaging combined with …

W Cheng, DW Sun, H Pu, Q Wei - Food Chemistry, 2017 - Elsevier
The feasibility of hyperspectral imaging (HSI)(400–1000 nm) for tracing the chemical
spoilage extent of the raw meat used for two kinds of processed meats was investigated …

Combination of spectral and image information from hyperspectral imaging for the prediction and visualization of the total volatile basic nitrogen content in cooked …

K Song, S Wang, D Yang, T Shi - Journal of Food Measurement and …, 2021 - Springer
The total volatile basic nitrogen (TVB-N) content is representative index for measuring the
freshness of cooked meat. The study investigated integrating spectral and image information …

Study of spatially resolved hyperspectral scattering images for assessing beef quality characteristics

J Wu, Y Peng, J Chen, W Wang, X Gao… - … and Spectral Analysis, 2010 - ingentaconnect.com
Hyperspectral scattering techniques were used to predict beef pH, tenderness (ie WBSF:
Warner-Bratzler Shear Force) and color parameters. Thirty-three fresh strip loin cuts were …