With the dramatic development of source and detector components, terahertz (THz) spectroscopy technology has recently shown a renaissance in various fields such as medical, material, biosensing and ph...
While myelin deficit of the central nervous system leads to several severe diseases, the definitive diagnostic means are lacking. We proposed and performed terahertz time-domain spectroscopy (THz-TDS)...
The feasibility of using hyperspectral imaging technique to non-destructively determine insoluble dietary fibre (IDF) and soluble dietary fibre (SDF) contents in fresh-cut celeries and visualise their...
The development of machine vision-based technologies to replace human labor for rapid and exact detection of agricultural product quality has received extensive attention. In this study, we describe a...
Soybeans have the characteristics of balanced amino acid species and high nutritional value. In this article, the feasibility of the identification soybean from three typical origins (Argentina, the U...
Soybean oil is often contaminated by aflatoxin B1 (AFB1) which is regarded as a class I carcinogen. The feasibility of rapid determination of AFB1 in soybean oil with terahertz spectroscopy was examin...
Silage is the main feed in milk and ruminant meat production in Northern Europe. Novel drone-based remote sensing technology could be utilized in many phases of silage production, but advanced methods...
Rice is a staple food in Vietnam, and the concern about rice is much greater than that for other foods. Preventing fraud against this product has become increasingly important in order to protect prod...
Rice adulteration is a severe problem in agro-products and food regulatory agencies, suppliers, and consumers. In this study, to effectively distinguish whether high-quality rice is mixed with low-qua...
Inspired by biological multicontrollability, we have devised the concept of multicontrollable metasurfaces. Comprising electrically small elements called MetaAtoms, a metasurface could be either homog...
In order to improve the accuracy of amino acid identification, a model based on the convolutional neural network (CNN) and bidirectional gated recurrent network (BiGRU) is proposed for terahertz spect...
Genetically modified crops have been planted commercially on a large scale since 1996. However, the food safety issue of genetically modified crops remains controversial. Conventional genetically modi...
Food product safety is a public health concern. Most of the food safety analytical and detection methods are expensive, labor intensive, and time consuming. A safe, rapid, reliable, and nondestructive...
Food analysis is a challenging analytical problem, often addressed using sophisticated laboratory methods that produce large data sets. Linear and non-linear multivariate methods can be used to proces...
Discrimination of genetically modified organisms is increasingly demanded by legislation and consumers worldwide. The feasibility of a non-destructive discrimination of glyphosate-resistant and conven...
Because bacterial blight (BB) disease seriously affects the yield and quality of rice, breeding BB resistant rice is an important priority for plant breeders but the process is time-consuming. The fea...
As antibiotic residue becomes more and more serious all over the world, a rapid and effective detection method is needed to evaluate the antibiotic residue in feed matrices to ensure food safety for c...
Abstract. Terahertz technology, including terahertz spectroscopy and terahertz imaging, is gaining increasing attention and plays an important role in various fields. With the development of terahertz...
Abstract Terahertz (THz) waves are non-ionizing radiations with unique properties of both microwave and infrared. THz imaging and spectroscopy have been widely used for non-destructive testing, securi...
Abstract Random Forest (RF) technique has been shown to be promising in the supervised classification applied in different matrices. However, approaches to identifying significant variables that weigh...