Recent advances on artificial intelligence-based approaches for food adulteration and fraud detection in the food industry: Challenges and opportunities

P Das, AB Altemimi, PC Nath, M Katyal, RK Kesavan… - Food Chemistry, 2024 - Elsevier
Food adulteration is the deceitful practice of misleading consumers about food to profit from
it. The threat to public health and food quality or nutritional valuable make it a major issue …

Detection Technologies, and Machine Learning in Food: Recent Advances and Future Trends

Q He, H Huang, Y Wang - Food Bioscience, 2024 - Elsevier
The combination of food detection technology and machine learning can effectively enhance
the efficiency and accuracy of food quality detection. Promoting the healthy development of …

Rapid and noncontact identification of soybean flour in edible insect using NIR spectral imager: A case study in Protaetia brevitarsis seulensis powder

RAP Hernanda, J Kim, MA Faqeerzada, HZ Amanah… - Food Control, 2025 - Elsevier
Edible insects are notably considered novel foods with high amounts of protein, making
them valuable. There are still no reported cases of edible insect adulteration, but there is a …

Qualitative and quantitative analysis of Nanfeng mandarin quality based on hyperspectral imaging and deep learning

J Zhang, H Zhang, Y Zhang, J Yin, B Zhan, X Liu… - Food Control, 2025 - Elsevier
Fruits have become essential in people's daily lives, with both their external defects and
internal quality receiving close attention from sellers and consumers alike. This study …

[HTML][HTML] Stacked Long and Short-Term Memory (SLSTM)-Assisted Terahertz Spectroscopy Combined with Permutation Importance for Rapid Red Wine Varietal …

J Yu, H Pu, DW Sun - Talanta, 2025 - Elsevier
Mislabeling of low-value red wines as high-value ones is common, which seriously
undermines consumer rights and interests. However, traditional sensory and chemical …

A fitting method of unlabeled interference for spectra based on multi-stage cross optimization

Q Wan, H Zhu, C Yang, F Cheng, J Yuan, C Zhou - Measurement, 2025 - Elsevier
When constructing a spectral detection model for a substance, it will be very difficult to
ensure the accuracy of the model if there is an unlabeled interference in the spectrum. To …

Detection of carob flour in cocoa powder by direct analysis in real time-mass spectrometry (DART-MS)

CM Maragos - Food Additives & Contaminants: Part A, 2025 - Taylor & Francis
Cocoa is a high value product and therefore a potential target for economic adulteration with
less expensive ingredients. Carob flour is less expensive than cocoa powder and is …

Primjena blisko infracrvene spektroskopije u praćenju promjena tijekom skladištenja kakao mješavina na bazi meda i zobi

I Furčić - 2024 - repozitorij.unizg.hr
Sažetak Prahovi su materijali koji se sastoje od sitnih čestica, obično manjih od jednog
milimetra. Dobivaju se drobljenjem, mljevenjem ili kemijskim procesima. Cilj ovog rada bio …