ArticleScientific reports2022
Extraction of sensing data for desired scent impressions using mass spectra of odorant molecules.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Overview of AI-Based Scent Creation.Sensors (Basel, Switzerland) · 2026Review
- Investigating factors influencing subjective taste and smell alterations in colorectal cancer patients.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- BitterMasS: Predicting Bitterness from Mass Spectra.Journal of agricultural and food chemistry · 2024Article
- Human Olfactory Receptor Sensor for Odor Reconstitution.Sensors (Basel, Switzerland) · 2023Review
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Authors and funding
2 authors.
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Abstract
Most of the olfactory perception works focused on forward prediction of odor impression, for example, given an odorant's molecular structure parameters or the sensing data predict its odor impression. So far, mapping of mass spectrum of odorant molecules into the odor perception space (binary or continuous sensory space) has been successfully performed. However, it is difficult to predict odorant's sensing data associated with binary odor descriptors (e.g., minty, peach, vanilla etc.). In this study, we have proposed a method to extract the corresponding sensing data (mass spectrum as sensing data) for a desired scent impression although one-to-one relationships are not usually guaranteed. Our target is to extract the sensing data for a given odor descriptor that will help perfumers to create scent. This study is first report for predicting sensing data for a given binary odor descriptor.
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