Raman microspectroscopy offers microbiologists a rapid and non-destructive technique to
assess the chemical composition of individual live microorganisms in near real time. In this …

Raman spectroscopy (RS) is a spectroscopic method which indirectly measures the
vibrational states within samples. This information on vibrational states can be utilized as …

The way to analyze data in spectroscopy has changed substantially. At the same time, data
science has evolved to the point where spectroscopy can find space to be housed, adapted …

Abstract Each year, 1.3 billion tons of food is lost due to spoilage or loss in the supply chain,
accounting for approximately one third of global food production. This requires a …

Rapidly and non-destructively predicting the oil content of single maize kernel is crucial for
food industry. However, obtaining a large number of oil content reference values of maize …

Raman spectroscopy combined with artificial intelligence algorithms have been widely
explored and focused on in recent years for food safety testing. It is still a challenge to …

Microorganisms in natural environments are crucial in maintaining the material and energy
cycle and the ecological balance of the environment. However, it is challenging to delineate …

Machine learning (ML) and deep learning (DL) have achieved great success in different
tasks. These include computer vision, image segmentation, natural language processing …

Raman spectroscopy, as a label-free detection technology, has been widely used in tumor
diagnosis. However, most tumor diagnosis procedures utilize multivariate statistical analysis …

Cumin (Cuminum cyminum) and fennel (Foeniculum vulgare) are widely used seasonings
and play a very important role in industries such as breeding, cosmetics, winemaking, drug …