Application, challenges and future prospects of recent nondestructive techniques based on the electromagnetic spectrum in food quality and safety

R Fakhlaei, AA Babadi, C Sun, NM Ariffin, A Khatib… - Food Chemistry, 2024 - Elsevier
Safety and quality aspects of food products have always been critical issues for the food
production and processing industries. Since conventional quality measurements are …

Rapid and ultrasensitive detection of thiram and carbaryl pesticide residues in fruit juices using SERS coupled with the chemometrics technique

S Adhikari, R Joshi, R Joshi, M Kim, Y Jang, LT Tufa… - Food Chemistry, 2024 - Elsevier
A gold nanogap substrate was used to measure the thiram and carbaryl residues in various
fruit juices using surface-enhanced Raman scattering (SERS). The gold nanogap substrates …

[HTML][HTML] Classification of food additives using UV spectroscopy and one-dimensional convolutional neural network

IA Potărniche, C Saroși, RM Terebeș, L Szolga… - Sensors, 2023 - mdpi.com
Food additives are utilized in countless food products available for sale. They enhance or
obtain a specific flavor, extend the storage time, or obtain a desired texture. This paper …

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 …

Simultaneous detection of melamine and cyanuric acid using powder X‐ray diffraction

R Paranthaman, JA Moses… - Food Safety and …, 2024 - Wiley Online Library
A novel, non‐destructive, powder X‐ray diffraction (P‐XRD) approach was developed and
validated for the simultaneous detection of melamine (ME) and cyanuric acid (CA). Sample …

Machine learning: An effective tool for monitoring and ensuring food safety, quality, and nutrition

X Yang, CT Ho, X Gao, N Chen, F Chen, Y Zhu… - Food Chemistry, 2025 - Elsevier
The domains of food safety, quality, and nutrition are inundated with complex datasets.
Machine learning (ML) has emerged as a powerful tool in food science, offering fast …

[HTML][HTML] General network framework for mixture raman spectrum identification based on deep learning

Y Zhang, T Wang, K Du, P Chen, H Wang, H Sun - Applied Sciences, 2024 - mdpi.com
Raman spectroscopy is a powerful tool for identifying substances, yet accurately analyzing
mixtures remains challenging due to overlap** spectra. This study aimed to develop a …

Analysis of Gelatin on Soft Candy using a Combination of Fourier Transform Infrared Spectroscopy (FTIR) with Chemometrics for Halal Authentication

N Salamah, SL Jufri, H Susanti… - Indonesian Journal of …, 2023 - journal.uinsgd.ac.id
The main ingredients of soft candies are gelatin made from the skin/bones of cows and pigs,
ie bovine and porcine gelatin. A fast and low-cost detection method is required to analyze …

Federated learning-based insulator fault detection for data privacy preserving

Z Luan, Y Lai, Z Xu, Y Gao, Q Wang - Sensors, 2023 - mdpi.com
Insulators are widely used in distribution network transmission lines and serve as critical
components of the distribution network. The detection of insulator faults is essential to …

[HTML][HTML] Concentration and health risk assessment of melamine in commercial citrus juices

M Rashedinia, B Akbari-Adergani, P Shavali-gilani… - Food Chemistry: X, 2025 - Elsevier
Melamine contamination in food poses significant health risks including kidney stones, renal
failure, making it a critical food safety concern. This study investigated the presence of …