Flavor molecules are commonly used in the food industry to enhance product quality and
consumer experiences but are associated with potential human health risks, highlighting the …

Can machine learning crack the code in the nose? Over the past decade, studies tried to
solve the relation between chemical structure and sensory quality with Big Data. These …

Most natural odors are complex mixtures of volatile components, competing to bind odorant
receptors (ORs) expressed in olfactory sensory neurons (OSNs) of the nose. To date …

Odor descriptors are words used to express human olfactory perception. At a certain level,
predicting the odor descriptor rating using an electronic nose (E-nose) equips the machine …

An important goal in researching the biology of olfaction is to link the perception of smells to
the chemistry of odorants. In other words, why do some odorants smell like fruits and others …

The olfactory sense is a particularly challenging domain for cognitive science investigations
of perception, memory, and language. Although many studies show that odors often are …

Gas chromatography/olfactometry (GC/O) has been used in various fields as a valuable
method to identify odor-active components from a complex mixture. Since human assessors …

The paper describes the design of an innovative virtual reality (VR) system, based on a
combination of an olfactory display and a visual display, to be used for investigating the …

We derived and implemented a linear classification algorithm for the prediction of a
molecule's odor, called Olfactory Weighted Sum (OWSum). Our approach relies solely on …

A meta-learning algorithm, conventionally used for visual recognition, was applied to the
recognition and classification of aroma oils. A printable chemiresistive sensor array was …