Flexible sensing enabled agri-food cold chain quality control: A review of mechanism analysis, emerging applications, and system integration

W Huang, X Wang, J Xia, Y Li, L Zhang, H Feng… - Trends in Food Science …, 2023 - Elsevier
Background Traditional silicon-based sensors provide a viable solution for packaging,
detection, and quality control of agri-food in the cold chain. However, the limitations such as …

Artificial intelligence in food safety: A decade review and bibliometric analysis

Z Liu, S Wang, Y Zhang, Y Feng, J Liu, H Zhu - Foods, 2023 - mdpi.com
Artificial Intelligence (AI) technologies have been powerful solutions used to improve food
yield, quality, and nutrition, increase safety and traceability while decreasing resource …

Promising perspectives on novel protein food sources combining artificial intelligence and 3D food printing for food industry

MG Bedoya, DR Montoya, G Tabilo-Munizaga… - Trends in Food Science …, 2022 - Elsevier
Background Novel food matrices with high protein content and biological value, good amino
acid profile, and functionality based on algae, insects, plants, fungi, and microbial proteins …

Machine learning‐based modeling in food processing applications: State of the art

MIH Khan, SS Sablani, R Nayak… - … reviews in food science …, 2022 - Wiley Online Library
Food processing is a complex, multifaceted problem that requires substantial human
interaction to optimize the various process parameters to minimize energy consumption and …

Applications of electronic nose, electronic eye and electronic tongue in quality, safety and shelf life of meat and meat products: a review

PES Munekata, S Finardi, CK de Souza, C Meinert… - Sensors, 2023 - mdpi.com
The quality and shelf life of meat and meat products are key factors that are usually
evaluated by complex and laborious protocols and intricate sensory methods. Devices with …

Applications of knowledge graphs for food science and industry

W Min, C Liu, L Xu, S Jiang - Patterns, 2022 - cell.com
The deployment of various networks (eg, Internet of Things [IoT] and mobile networks),
databases (eg, nutrition tables and food compositional databases), and social media (eg …

Physicochemical parameters combined flash GC e-nose and artificial neural network for quality and volatile characterization of vinegar with different brewing …

Y Li, C Fei, C Mao, D Ji, J Gong, Y Qin, L Qu, W Zhang… - Food chemistry, 2022 - Elsevier
Vinegar is a kind of traditional fermented food, there are significant variances in quality and
flavor due to differences in raw ingredients and processes. The quality assessment and …

Applications of electronic nose coupled with statistical and intelligent pattern recognition techniques for monitoring tea quality: a review

S Kaushal, P Nayi, D Rahadian, HH Chen - Agriculture, 2022 - mdpi.com
Tea is the most widely consumed non-alcoholic beverage worldwide. In the tea sector, the
high demand for tea has led to an increase in the adulteration of superior tea grades. The …

Computer-aided food engineering

A Datta, B Nicolaï, O Vitrac, P Verboven, F Erdogdu… - Nature Food, 2022 - nature.com
Computer-aided food engineering (CAFE) can reduce resource use in product, process and
equipment development, improve time-to-market performance, and drive high-level …

Back propagation artificial neural network (BP-ANN) for prediction of the quality of gamma-irradiated smoked bacon

X Huang, Y You, X Zeng, Q Liu, H Dong, M Qian… - Food Chemistry, 2024 - Elsevier
This study investigated the effect of gamma irradiation on smoked bacon quality during
storage and developed a multi-quality prediction model based on gamma irradiation …