Background The development of fast, efficient, accurate, and reliable techniques and
methods for food authenticity identification is crucial for food quality assurance. Traditional …

In recent years, the food industry has shown a growing interest in the development of rapid
and nondestructive analytical methods. However, the utilization of a solitary nondestructive …

Background Food safety is an important public health issue, and deep learning (DL)
algorithms can provide powerful tools and methods for food safety and authenticity …

The identification of ore samples is of great scientific significance for mineral exploration,
and geological evolution research on the planets. Attributed to the changes in the …

TVB-N is a commonly used chemical indicator for assessing the freshness of aquatic
products during storage. In this study, the combination of Raman spectroscopy with …

Rapid detection of marine fish freshness is of great importance, as aquatic products are
susceptible to spoilage during storage. In this work, for the first time, the laser induced …

Regular monitoring of the number of various fish species in a variety of habitats is essential
for marine conservation efforts and marine biology research. To address the shortcomings of …

Freshness is a key indicator for assessing the nutritional and safety qualities of fish products.
This study aims to apply the convolutional neural network (CNN) for modeling the Raman …

Heavy metal detection is important for food safety assurance. Due to the complexity of the
matrix, plant foods often affect the accuracy of heavy metal detection by Laser-induced …

Due to its remarkable element detection capability, laser-induced breakdown spectroscopy
(LIBS) has been extensively utilized for element-related analysis. Although the spectral …