Raman spectroscopic techniques for nondestructive analysis of agri-foods: A state-of-the-art review

K Wang, Z Li, J Li, H Lin - Trends in Food Science & Technology, 2021 - Elsevier
Background With the growth of global imports and exports of agri-food commodities, food
safety issues have received widespread attention globally. To secure public health, it is …

Raman spectroscopy for rapid fingerprint analysis of meat quality and security: Principles, progress and prospects

C Qu, Y Li, S Du, Y Geng, M Su, H Liu - Food Research International, 2022 - Elsevier
Meat nutrition and safety is highly related to people's health and quality of life. There is a
huge demand to rapidly analyze meat quality during product processing and storage, but …

Garbage in garbage out: The precarious link between IoT and blockchain in food supply chains

W Powell, M Foth, S Cao, V Natanelov - Journal of Industrial Information …, 2022 - Elsevier
The application of blockchain in food supply chains does not resolve conventional IoT data
quality issues. Data on a blockchain may simply be immutable garbage. In response, this …

[HTML][HTML] Non-destructive techniques for the analysis and evaluation of meat quality and safety: A review

X Wu, X Liang, Y Wang, B Wu, J Sun - Foods, 2022 - mdpi.com
With the continuous development of economy and the change in consumption concept, the
demand for meat, a nutritious food, has been dramatically increasing. Meat quality is tightly …

A review on meat quality evaluation methods based on non-destructive computer vision and artificial intelligence technologies

Y Shi, X Wang, MS Borhan, J Young… - Food science of …, 2021 - pmc.ncbi.nlm.nih.gov
Increasing meat demand in terms of both quality and quantity in conjunction with feeding a
growing population has resulted in regulatory agencies imposing stringent guidelines on …

[HTML][HTML] Emerging nondestructive techniques for the quality and safety evaluation of pork and beef: Recent advances, challenges, and future perspectives

PDC Sanchez, HBT Arogancia, KM Boyles… - Applied Food …, 2022 - Elsevier
Quality and safety evaluation play a significant role in the food industry since consumers are
being more particular and alert in selecting their food items. Majority of the consumers prefer …

Rapid detection of adulteration of minced beef using Vis/NIR reflectance spectroscopy with multivariate methods

S Weng, B Guo, P Tang, X Yin, F Pan, J Zhao… - … Acta Part A: Molecular …, 2020 - Elsevier
High economic returns induce the continuous occurrence of meat adulteration. In this study,
visible/near-infrared (Vis/NIR) reflectance spectroscopy with multivariate methods was used …

Intelligent detection of quality deterioration and adulteration of fresh meat products in the supply chain: Research progress and application

L Zhang, Q Yu, M Zhang, CL Law, Y Ma - Food Bioscience, 2023 - Elsevier
Food safety is an on-going priority, and fresh meat is easily susceptible to quality
deterioration due to physical, chemical or microbiological factors throughout the supply …

Prediction of Warner-Bratzler shear force, intramuscular fat, drip-loss and cook-loss in beef via Raman spectroscopy and chemometrics

R Cama-Moncunill, J Cafferky, C Augier, T Sweeney… - Meat Science, 2020 - Elsevier
Rapid prediction of beef quality remains a challenge for meat processors. This study
evaluated the potential of Raman spectroscopy followed by chemometrics for prediction of …

Optical sensing as analytical tools for meat tenderness measurements-A review

M Kamruzzaman - Meat Science, 2023 - Elsevier
Meat tenderness is the most important attribute related to consumer satisfaction. No
analytical tool is currently available to measure or predict tenderness in real-time. Therefore …