Publications by authors named "Doris Schicker"

Modern societies and their obesogenic environments expose individuals to persistent food stimulation. This frequent exposure can cause sensory systems to habituate or desensitize to food-related sensory stimulation. This can, in turn, lead to the reduction of pleasure associated with eating, which can elicit overeating behavior to attain the desired pleasurable effect.

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Providing nutrition or health labels on product packaging can be an effective strategy to promote a conscious and healthier diet. However, such labels also have the potential to be counterproductive by creating obstructive expectations about the flavor of the food and influencing odor perception. Conversely, olfaction could significantly influence label perception, whereby negative expectations could be mitigated by pleasant odors.

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Aroma compositions are usually complex mixtures of odor-active compounds exhibiting diverse molecular structures. Due to chemical interactions of these compounds in the olfactory system, assessing or even predicting the olfactory quality of such mixtures is a difficult task, not only for statistical models, but even for trained assessors. Here, we combine fast automated analytical assessment tools with human sensory data of 11 experienced panelists and machine learning algorithms.

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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 structural patterns of the molecules as features for algorithmic treatment and uses conditional probabilities combined with tf-idf values. In addition to the prediction of molecular odor, OWSum provides insights into properties of the dataset and allows to understand how algorithmic classifications are reached by quantitatively assigning structural patterns to odors.

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Introduction: Nutrition claims are one of the most common tools used to improve food decisions. Previous research has shown that nutrition claims impact expectations; however, their effects on perceived pleasantness, valuation, and their neural correlates are not well understood. These claims may have both intended and unintended effects on food perception and valuation, which may compromise their effect on food decisions.

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Article Synopsis
  • The study investigates the link between olfactory function and various nutritional blood parameters in a group of 418 healthy Caucasians.
  • It finds that while some blood parameters initially appeared to correlate with olfactory performance, these relationships disappeared when adjusting for sex and age, which were identified as significant confounding factors.
  • The results indicate that metabolic blood parameters do not have a meaningful impact on olfactory identification, emphasizing the need to consider demographic factors in sensory research.
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In recent years, multisensory integration of visual and olfactory stimuli has extensively been explored resulting in the identification of responsible brain areas. As the experimental designs of previous research often include alternating presentations of unimodal and bimodal stimuli, the conditions cannot be regarded as completely independent. This could lead to effects of an expected but surprisingly missing sensory modality.

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