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 …

Unleashing the Potential of Digitalization in the Agri-Food Chain for Integrated Food Systems

C Krupitzer, A Stein - Annual Review of Food Science and …, 2023 - annualreviews.org
Digitalization transforms many industries, especially manufacturing, with new concepts such
as Industry 4.0 and the Industrial Internet of Things. However, information technology also …

[HTML][HTML] Feature construction methods for processing and analysing spectral images and their applications in food quality inspection

H Pu, J Yu, DW Sun, Q Wei, Z Wang - Trends in Food Science & …, 2023 - Elsevier
Background Hyperspectral imaging (HSI) technology fusing spectroscopic technology and
imaging technology has been proposed to achieve rapid and non-destructive inspection of …

Antimicrobial peptides: An alternative to traditional antibiotics

S Ji, F An, T Zhang, M Lou, J Guo, K Liu, Y Zhu… - European Journal of …, 2023 - Elsevier
As antibiotic-resistant bacteria and genes continue to emerge, the identification of effective
alternatives to traditional antibiotics has become a pressing issue. Antimicrobial peptides …

Spectral data fusion in nondestructive detection of food products: Strategies, recent applications, and future perspectives

M Guo, K Wang, H Lin, L Wang… - … Reviews in Food …, 2024 - Wiley Online Library
In recent years, the food industry has shown a growing interest in the development of rapid
and nondestructive analytical methods. However, the utilization of a solitary nondestructive …

Machine-learning-driven optical immunosensor based on microspheres-encoded signal transduction for the rapid and multiplexed detection of antibiotics in milk

C Zhou, C Huang, H Zhang, W Yang, F Jiang, G Chen… - Food Chemistry, 2024 - Elsevier
Antibiotic residues are the most common contaminants in milk and other related dairy
products. Simultaneous, convenient, and stable detection of antibiotic residues in foods is …

[HTML][HTML] E-sensing systems for shelf life evaluation: A review on applications to fresh food of animal origin

S Grassi, S Benedetti, E Casiraghi, S Buratti - Food Packaging and Shelf …, 2023 - Elsevier
The quality of fresh food of animal origin, as meat, fish, dairy products, and eggs, is pivotal
for consumers and producers; however, due to the action of microorganisms, enzymes, and …

[HTML][HTML] Novel analysis of food processes by terahertz spectral imaging: A review of recent research findings

Y Fu, Y Ren, DW Sun - Trends in Food Science & Technology, 2024 - Elsevier
Background Process analysis is an important step for online food quality control during food
processing. Among the emerging non-destructive examination techniques that offer rapid …

[HTML][HTML] A pH-Responsive colourimetric sensor array based on machine learning for real-time monitoring of beef freshness

Y Lin, J Ma, DW Sun, JH Cheng, Q Wang - Food Control, 2023 - Elsevier
A novel strategy based on a pH-responded colourimetric sensor array (CSA) was developed
by combining it with machine learning models to effectively monitor the freshness of beef in …

Recent advances on natural colorants-based intelligent colorimetric food freshness indicators: fabrication, multifunctional applications and optimization strategies

D Yu, S Cheng, Y Li, W Su, M Tan - Critical Reviews in Food …, 2023 - Taylor & Francis
With the increasing concerns of food safety and public health, tremendous efforts have been
concentrated on the development of effective, reliable, nondestructive methods to evaluate …