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 …
beef. In this study, a fast and non-destructive method combining near-infrared hyperspectral …
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 …
distribution and content of stearic acid (C18: 0) in lamb meat fast and nondestructively, a …
[HTML][HTML] A combination of near-infrared hyperspectral imaging with two-dimensional correlation analysis for monitoring the content of alanine in beef
F Dong, Y Bi, J Hao, S Liu, Y Lv, J Cui, S Wang, Y Han… - Biosensors, 2022 - mdpi.com
Alanine (Ala), as the most important free amino acid, plays a significant role in food taste
characteristics and human health regulation. The feasibility of using near–infrared …
characteristics and human health regulation. The feasibility of using near–infrared …
A new comprehensive quantitative index for the assessment of essential amino acid quality in beef using Vis-NIR hyperspectral imaging combined with LSTM
F Dong, Y Bi, J Hao, S Liu, W Yi, W Yu, Y Lv, J Cui, H Li… - Food Chemistry, 2024 - Elsevier
The quality of beef is usually predicted by measuring a single index rather than a
comprehensive index. To precisely determine the essential amino acid (EAA) contents in …
comprehensive index. To precisely determine the essential amino acid (EAA) contents in …
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 …
improve the prediction of the C16: 0 and C18: 1 n9 contents for lamb was explored. 29 and …
Rapid determination of biogenic amines in cooked beef using hyperspectral imaging with sparse representation algorithm
D Yang, A Lu, D Ren, J Wang - Infrared Physics & Technology, 2017 - Elsevier
This study explored the feasibility of rapid detection of biogenic amines (BAs) in cooked beef
during the storage process using hyperspectral imaging technique combined with sparse …
during the storage process using hyperspectral imaging technique combined with sparse …
Near-infrared hyperspectral imaging for determination of protein content in barley samples using convolutional neural network
The protein content is an essential quality parameter that is measured by the breeding
programs and food industries to maintain high-quality standards for barley. The traditional …
programs and food industries to maintain high-quality standards for barley. The traditional …
[HTML][HTML] Predictive Analysis of Linoleic Acid in Red Meat Employing Advanced Ensemble Models of Bayesian and CNN-Bi-LSTM Decision Layer Fusion Based …
X Yan, S Liu, S Wang, J Cui, Y Wang, Y Lv, H Li… - Foods, 2024 - mdpi.com
Rapid non-destructive testing technologies are effectively used to analyze and evaluate the
linoleic acid content while processing fresh meat products. In current study, hyperspectral …
linoleic acid content while processing fresh meat products. In current study, hyperspectral …
Nondestructive detection and visualization of protein oxidation degree of frozen-thawed pork using fluorescence hyperspectral imaging
J Cheng, J Sun, K Yao, M Xu, X Zhou - Meat Science, 2022 - Elsevier
This study evaluated the feasibility of non-destructive detection of carbonyl and total
sulfhydryl contents by fluorescence hyperspectral imaging (F-HSI) to visualize the protein …
sulfhydryl contents by fluorescence hyperspectral imaging (F-HSI) to visualize the protein …
Fast prediction of diverse rare ginsenoside contents in Panax ginseng through hyperspectral imaging assisted with the temporal convolutional network-attention …
Y Wang, S Wang, Y Yuan, X Li, R Bai, X Wan, T Nan… - Food Control, 2024 - Elsevier
Combining hyperspectral imaging (HSI) with deep learning algorithms provides an effective
and fast approach for evaluating the quality of food and agricultural by-products. This study …
and fast approach for evaluating the quality of food and agricultural by-products. This study …
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