Food quality 4.0: From traditional approaches to digitalized automated analysis

A Hassoun, S Jagtap, G Garcia-Garcia… - Journal of Food …, 2023 - Elsevier
Food quality has recently received considerable attention from governments, researchers,
and consumers due to the increasing demand for healthier and more nutritious food …

[HTML][HTML] Food processing 4.0: Current and future developments spurred by the fourth industrial revolution

A Hassoun, S Jagtap, H Trollman, G Garcia-Garcia… - Food Control, 2023 - Elsevier
Abstract “Food processing 4.0” concept denotes processing food in the current digital era by
harnessing fourth industrial revolution (called Industry 4.0) technologies to improve quality …

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 …

[HTML][HTML] Electrical impedance spectroscopy (EIS) in plant roots research: a review

Y Liu, DM Li, J Qian, B Di, G Zhang, ZH Ren - Plant Methods, 2021 - Springer
Nondestructive testing of plant roots is a hot topic in recent years. The traditional
measurement process is time-consuming and laborious, and it is impossible to analyze the …

Development of an impedimetric immunosensor for machine learning-based detection of endometriosis: A proof of concept

A Pal, S Biswas, SPO Kare, P Biswas, SK Jana… - Sensors and Actuators B …, 2021 - Elsevier
A novel yet simple electrochemical immunosensor for specific and reliable detection of
endometriosis is developed. Alpha-1-B glycoprotein (A1BG) exhibits higher specificity and …

Combining computer vision score and conventional meat quality traits to estimate the intramuscular fat content using machine learning in pigs

D Chen, P Wu, K Wang, S Wang, X Ji, Q Shen, Y Yu… - Meat Science, 2022 - Elsevier
Intramuscular fat content (IMF%) is an important factor that affects the quality of pork. The
traditional testing method (Soxhlet extraction) is accurate; however, it has a long …

[HTML][HTML] Application status and prospect of impedance spectroscopy in agricultural product quality detection

J Cheng, P Yu, Y Huang, G Zhang, C Lu, X Jiang - Agriculture, 2022 - mdpi.com
The nondestructive testing of agricultural products has always been a key technology for the
modernization of agriculture and food. By applying a sinusoidal voltage (current) excitation …

Distinguishing liquid solutions with alcohol using electrical impedance measurements: Preliminary study for food safety applications

J Slay, R Sotner, T Freeborn, J Jerabek… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Methods for identifying contaminants in liquids (such as wine) typically require laboratory
analyses of samples using precision equipment, which is expensive in terms of both time …

Non-destructive measurements for the evaluation of beef freshness based on airflow interaction and a structured light 3D imaging technique and comparison with pH …

X Luo, Q Sun, L Zhou, K He, X Gao, X Tang - Biosystems Engineering, 2023 - Elsevier
Highlights•Method based on airflow-structured light 3D imaging was developed.•Spatial
deformation quantified to obtain instantaneous elastoplastic features.•Effect of increased …

Rapid beef quality detection using spectra pre‐processing methods in electrical impedance spectroscopy and machine learning

J Qiu, Y Lin, J Wu, Y Xiao, H Cai… - International Journal of …, 2024 - Wiley Online Library
The fraudulent practice of beef adulteration is a growing concern, as it violates consumer
rights. Electrical impedance spectroscopy (EIS) combined with machine learning has …