Advances in machine learning and hyperspectral imaging in the food supply chain

Z Kang, Y Zhao, L Chen, Y Guo, Q Mu… - Food Engineering …, 2022 - Springer
Food quality and safety are the essential hot issues of social concern. In recent years, there
has been a growing demand for real-time food information, and non-destructive testing is …

[HTML][HTML] Recent trends of machine learning applied to multi-source data of medicinal plants

Y Zhang, Y Wang - Journal of Pharmaceutical Analysis, 2023 - Elsevier
In traditional medicine and ethnomedicine, medicinal plants have long been recognized as
the basis for materials in therapeutic applications worldwide. In particular, the remarkable …

Rapid identification and quantification of vegetable oil adulteration in raw milk using a flash gas chromatography electronic nose combined with machine learning

H Tian, D Wu, B Chen, H Yuan, H Yu, X Lou, C Chen - Food Control, 2023 - Elsevier
A method for detecting vegetable oil adulteration in raw milk was established using a flash
gas chromatography electronic nose (FGC E-nose) method combined with four machine …

A novel method based on machine vision system and deep learning to detect fraud in turmeric powder

A Jahanbakhshi, Y Abbaspour-Gilandeh… - Computers in Biology …, 2021 - Elsevier
Assessing the quality of food and spices is particularly important in ensuring proper human
nutrition. The use of computer vision method as a non-destructive technique in measuring …

[HTML][HTML] Fingerprinting based on gas chromatography-orbitrap high-resolution mass spectrometry and chemometrics to reveal geographical origin, processing, and …

A Rivera-Pérez, R Romero-González, AG Frenich - Food Chemistry, 2022 - Elsevier
Thyme is an aromatic herb traditionally used for food purposes due to its organoleptic
characteristics and medicinal properties, which is highly susceptible to food fraud. In this …

Recent trends of multi-source and non-destructive information for quality authentication of herbs and spices

Y Xu, J Zhang, Y Wang - Food Chemistry, 2023 - Elsevier
The growing concerns about the quality and safety of herbs and spices among consumers
have increased the demand for technical testing. Recently, non-destructive analysis …

[HTML][HTML] Near-infrared spectroscopy and machine learning for classification of food powders during a continuous process

S Ozturk, A Bowler, A Rady, NJ Watson - Journal of Food Engineering, 2023 - Elsevier
In food production environments, the wrong powder material is occasionally loaded onto a
production line which impacts food safety, product quality, and production economics. The …

Electronic nose for detection of food adulteration: A review

M Roy, BK Yadav - Journal of Food Science and Technology, 2022 - Springer
The food products may attract unscrupulous vendors to dilute it with inexpensive alternative
food sources to achieve more profit. The risk of high value food adulteration with cheaper …

Assessing risk and sustainability factors in spice supply chain management

V Kumar, R Raj, P Verma, JA Garza-Reyes… - Operations Management …, 2024 - Springer
The inopportune organization of spice supply chains (SSCs) results in aided risks, resource
wastages, and sustainability issues. Nevertheless, practitioners and academicians alike …

Recent advances in biosensors for detection of chemical contaminants in food—a review

B Bhavadharini, M Kavimughil, B Malini, A Vallath… - Food Analytical …, 2022 - Springer
In recent decades safety of food has played a pivotal role from raw material till it reaches the
consumer. The food consumed may contain unwanted contaminants, which may impose …