Rapid and intelligent identification of similar samples is an important technical aid for food
quality and safety assessment. At present, relevant research studies are still relatively …

The aim of this work is to solve the practical problem that there are relatively few fast,
intelligent, and objective methods to distinguish dairy products and to further improve the …

The combination of spectroscopy and a novel classification algorithm called extreme
learning machine (ELM) was developed for food classification. The performance influence of …

The traditional quality testing methods of Baijiu have several challenges including long
duration of testing that increases the workload of the laboratory. In this experiment, Raman …

Rapid and non-invasive discrimination of two types of similar baijiu with the same alcohol
content was investigated using chemometrics-assisted Raman spectroscopy. Baijiu samples …

At present, practical and rapid identification techniques for dairy products are still scarce.
Taking different brands of pasteurized milk as an example, they are all milky white in …

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 …

Near-infrared spectroscopic data, used for non-destructive product identification, are
traditionally processed using multivariate data analysis techniques. However, these …

Rapid analysis of Chinese rice wine (CRW) is an important activity for quality assurance and
control investigations. In recent years, due to its insensitivity to water and fewer overlapped …

As a fast information acquisition technique, Raman spectroscopy can be used to control the
quality of dairy products. Feature extraction is a necessary processing step to improve the …