Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Food is the foundation of human survival. With the development and progress of society, people increasingly focus on the problems of food quality and safety, which is closely related to human's health. Thus, the whole industrial chain from farmland to dining table need to be strictly controlled. Traditional detection methods are time-consuming, laborious, and destructive. In recent years, hyperspectral technology has been more and more applied to food safety and quality detection, because the technology can achieve rapid and nondestructive detection of food, and the requirement to experimental condition is low; operability is strong. In this paper, hyperspectral imaging technology was briefly introduced, and its application in agricultural products and food detection in recent years was systematically summarized, and the key points in the research process were deeply discussed. This work lays a solid foundation for the peers to the following in-depth research and application of this technology.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7590284 | PMC |
| http://dx.doi.org/10.1002/fsn3.1852 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Fast-hyperspectral imaging remote sensing: Emission quantification of NO and SO from marine vessels.
Light Sci Appl
September 2025
Key Lab of Environmental Optics & Technology, Anhui Institute of Optics and Fine Mechanics, Hefei Institutes of Physical Science, Chinese Academy of Sciences, 230031, Hefei, China.
Marine vessels play a vital role in the global economy; however, their negative impact on the marine atmospheric environment is a growing concern. Quantifying marine vessel emissions is an essential prerequisite for controlling these emissions and improving the marine atmospheric environment. Optical imaging remote sensing is a vital technique for quantifying marine vessel emissions.
View Article and Find Full Text PDFRecent Advances in Traceability, Authentication, and Bioactive Profiling of Fruit and Fruit-Based Products Using Analytical Techniques Combined With Chemometrics.
Compr Rev Food Sci Food Saf
September 2025
Agricultural Product Processing and Storage Lab, School of Food and Biological Engineering, Jiangsu University, Zhenjiang, Jiangsu, China.
Fruit and fruit-based products are a valuable source of essential nutrients, critical for food security, and drive economic productivity with minimal inputs. The significant rise in global demand for high-quality imported fruit and fruit-based products reflects a shift in consumer awareness and interest in the products origin and potential health-promoting bioactive compounds. Analytical techniques such as liquid chromatography, gas chromatography, inductively coupled plasma techniques, isotope-ratio mass spectrometry (IRMS), near infrared (NIR) spectroscopy, visible near infrared (VIS-NIR) spectroscopy, hyperspectral imaging (HSI), mid-infrared (MIR) spectroscopy, Raman spectroscopy, nuclear magnetic resonance (NMR) spectroscopy, fluorescence spectroscopy, terahertz spectroscopy, dielectric spectroscopy, electronic nose (e-nose), and electronic tongue (e-tongue) coupled with supervised and unsupervised chemometrics can be employed for traceability, authentication, and bioactive profiling of fruit and fruit-based products.
View Article and Find Full Text PDFNovel development of lipid-based formulations: Improved wettability and homogeneous API solid dispersion visualised via near-infrared hyperspectral imaging.
Eur J Pharm Biopharm
September 2025
Research Center Pharmaceutical Engineering GmbH, Inffeldgasse 13, 8010 Graz, Austria; University of Graz, Institute of Pharmaceutical Sciences, Department of Pharmaceutical, Technology and Biopharmacy, Graz, Austria. Electronic address:
Lipid-based formulations have been successfully applied to improve the aqueous solubility of active pharmaceutical ingredients (APIs), however, with the bottleneck of limited wettability of the system. In this study, a lipid-based system was developed using polyglycerol ester of fatty acids (PGFA) as the main component and hexaglycerol (PG6) as a wetting agent. Felodipine, a BCS class II compound was selected as a model API.
View Article and Find Full Text PDFA Multimodal Imaging Framework to Advance Phenotyping of Living Label-free Breast Cancer Cells.
J Vis Exp
August 2025
Laser Biomedical Research Center, G. R. Harrison Spectroscopy Laboratory, Massachusetts Institute of Technology.
We present multimodal confocal Raman micro-spectroscopy (RS) and tomographic phase microscopy (TPM) for quick morpho-chemical phenotyping of human breast cancer cells (MDA-MB-231). Leveraging the non-perturbative nature of these advanced microscopy techniques, we captured detailed morpho-molecular data from living, label-free cells in their native physiological environment. Human bias-free data processing pipelines were developed to analyze hyperspectral Raman images (spanning Raman modes from 600 cm to 1800 cm, which uniquely characterize a wide range of molecular bonds and subcellular structures), as well as morphological data from three-dimensional refractive index tomograms (providing measurements of cell volume, surface area, footprint, and sphericity at nanometer resolution, alongside dry mass and density).
View Article and Find Full Text PDFA sorghum seed variety identification method based on image-hyperspectral fusion and an improved deep residual convolutional network.
Front Plant Sci
August 2025
Jilin Academy of Agricultural Sciences Peanut Institute, Gongzhuling, Jilin, China.
Introduction: Sorghum is an important food and feed crop. Identifying sorghum seed varieties is crucial for ensuring seed quality, improving planting efficiency, and promoting sustainable agricultural development.
Methods: This study proposes a high-precision classification method based on the fusion of RGB images and hyperspectral data, using an improved deep residual convolutional neural network.