Results 71 to 80 of about 7,130 (165)

Integration of Colorimetric Sensing Dyes and Multi‐Substrate Arrays for Food Quality and Safety Monitoring: Design, Optimization, and Analysis

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 1, January 2026.
ABSTRACT As food safety issues gain increasing attention, the need for rapid, accurate, and low‐cost detection techniques becomes essential. Colorimetric sensors, known for their rapid response, high sensitivity, low cost, and readily observable results, are playing an increasingly important role in food quality inspection. This review article provides
Jingfei Shen, Qisheng Liu, Ruxin Zhang, Zhengzhu Zhang, Quansheng Chen, Jingming Ning, Luqing Li   +6 more
wiley   +1 more source

Quality Analysis and Detection of Adulterants and Contaminations in Milk/Milk Powder by Raman Spectroscopy

Comprehensive Reviews in Food Science and Food Safety, Volume 25, Issue 1, January 2026.
ABSTRACT Milk and milk powder are central to global nutrition, yet remain vulnerable to adulteration and contamination. Adulteration using water, urea, ammonium sulfate, thiocyanates, detergents, melamine, or compositional changes with whey and carbohydrate fillers undermines nutritional quality, reduces consumer confidence, and challenges regulatory ...
B. Sudarshan Acharya, Sreerag Nair, Abdul Ajees Abdul Salam   +2 more
wiley   +1 more source

Adulteration Detection of Yak Meat Based on Near‐Infrared Spectroscopy and Chemometrics

Journal of Food Quality, Volume 2026, Issue 1, 2026.
Near‐infrared spectroscopy (NIRS), which leverages molecular absorption of infrared light, possesses strong “fingerprint” identification capabilities. It has become an indispensable tool in compound identification, molecular structure analysis, and quantitative analysis.
Hang Lv, Xihui Bian, Yuan Gao, Meisong Wang, Haiyue Wu, Zhongxin Yan, Yang Xiang, Anand Mohan   +7 more
wiley   +1 more source

A Novel Transformer Network with a CNN-Enhanced Cross-Attention Mechanism for Hyperspectral Image Classification

Remote Sensing
Recently, with the remarkable advancements of deep learning in the field of image processing, convolutional neural networks (CNNs) have garnered widespread attention from researchers in the domain of hyperspectral image (HSI) classification.
Xinyu Wang, Le Sun, Chuhan Lu, Baozhu Li
doaj   +1 more source

Spectral–Spatial HyperspectralImage Classification With K-Nearest Neighbor and Guided Filter

IEEE Access, 2018
Explosive growth of applications in hyperspectral image (HSI) has made HSI classification a hot topic in the remote sensing community. The key to improve classification accuracy is how to make full use of the spectral and spatial information.
Yanhui Guo, Han Cao, Siming Han, Yunchuan Sun, Yu Bai   +4 more
doaj   +1 more source

Hyperspectral Image Classification via Slice Sparse Coding Tensor Based Classifier With Compressive Dimensionality Reduction

IEEE Access, 2020
Tensor representation is the most natural and effective way to preserve the structural information of hyperspectral image (HSI), and thus is very beneficial to HSI processing.
Lixia Yang, Rui Zhang, Shuyuan Yang, Licheng Jiao   +3 more
doaj   +1 more source

Multianalytical Study of Amuletic and Talismanic Islamic‐African Paper Manuscripts in the Slovene Ethnographic Museum

ChemPlusChem, Volume 90, Issue 12, December 10, 2025.
The image illustrates a multi‐technique analysis of Islamic‐African manuscripts from the nineteenth to twentieth centuries. It highlights methods like microscopy, hyperspectral imaging, FTIR, LIF, Raman, LIBS, and furnish analysis used to study paper fibers, inks, and dyes—revealing a blend of local and trade materials and a rich fusion of Qur’anic and
Abdelrazek Elnaggar, Hend Mahgoub, Laura Maestro‐Guijarro, Ana Crespo Ibáñez, Paula María Carmona‐Quiroga, Santiago Sánchez‐Cortés, Žiga Rehar, Gregor Kos, Ahmed Ameen, Marko Frelih, Matija Strlič, Mohamed Oujja, Marta Castillejo   +12 more
wiley   +1 more source

Guideline for Non‐Destructive Testing of Agricultural Product Quality Using Spectral Imaging Technology

AgriFood: Journal of Agricultural Products for Food, Volume 1, Issue 1, Page 4-14, December 2025.
This research guide focuses on the application of spectral imaging technology in the detection of fruit and vegetable quality, and expounds its core advantages as a non‐destructive technology for detecting fruit and vegetable quality. ABSTRACT This research guide focuses on the application of spectral imaging technology in the detection of fruit and ...
Jiangao Qiu, Xirui Zhang, Jie Guo, Jianbo Xiao, Lina Zhang, Shaohua Fu, Ruiwu Xu, Chao Cao   +7 more
wiley   +1 more source

Recent Advances in Spectroscopy and Imaging Techniques for Nondestructive Detection of Meat Quality and Safety

Food Science &Nutrition, Volume 13, Issue 12, December 2025.
A summary of the advanced techniques for meat quality and safety detection. ABSTRACT Meat is one of the most important foods in the human diet and is a major source of animal protein. It is essential to detect meat quality and safety for ensuring that high‐quality foods are delivered to consumers.
Yushan Jiang, Dachen Wang, Zijie Wang, Huang Dai, Chen Wang, Yingli Wang   +5 more
wiley   +1 more source

DCFF-Net: Deep Context Feature Fusion Network for High-Precision Classification of Hyperspectral Image

Remote Sensing
Hyperspectral images (HSI) contain abundant spectral information. Efficient extraction and utilization of this information for image classification remain prominent research topics.
Zhijie Chen, Yu Chen, Yuan Wang, Xiaoyan Wang, Xinsheng Wang, Zhouru Xiang   +5 more
doaj   +1 more source