ArticleChemical senses2010
Making scents: dynamic olfactometry for threshold measurement.
Article in Chemical senses, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Scentronic: An artificial intelligence-assisted olfactory interface for remote odor sharing and transmission.Science advances · 2026Article
- Odor Sampling Bags Enable Reliable Delivery of Controlled Odor Concentrations.bioRxiv : the preprint server for biology · 2026Article
- Influence of Malted Chickpea on the Composition of Volatiles in Hummus.Molecules (Basel, Switzerland) · 2025Article
- Article
- Utilisation of QSPR ODT modelling and odour vector modelling to predict Cannabis sativa odour.PloS one · 2023Article
- VOCs and Odor Episodes near the German-Czech Border: Social Participation, Chemical Analyses and Health Risk Assessment.International journal of environmental research and public health · 2022Article
- A Novel Olfactometer for Efficient and Flexible Odorant Delivery.Chemical senses · 2019Article
- Canine Olfactory Thresholds to Amyl Acetate in a Biomedical Detection Scenario.Frontiers in veterinary science · 2018Article
- Odor thresholds and breathing changes of human volunteers as consequences of sulphur dioxide exposure considering individual factors.Safety and health at work · 2011Article
- Structure-activity relationships on the odor detectability of homologous carboxylic acids by humans.Experimental brain research · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Data on human odor thresholds show disparities huge enough to marginalize olfactory psychophysics and delegitimize importation of its data into other areas. Variation of orders of magnitude from study to study, much of it systematic, threatens meaningful comparisons with animal species, comparison between in vivo with in vitro studies, the search for molecular determinants of potency, and use of olfactory information for environmental or public health policy. On the premise that good experimental results will flow from use of good tools, this report describes a vapor delivery system and its peripherals that instantiate good tools. The vapor delivery device 8 (VDD8) provides flexibility in range of delivered concentrations, offers definable stability of delivery, accommodates solvent-free delivery below a part per trillion, gives a realistic interface with subjects, has accessible and replaceable components, and adapts to a variety of psychophysical methodologies. The device serves most often for measurement of absolute sensitivity, where its design encourages collection of thousands of judgments per day from subjects tested simultaneously. The results have shown humans to be more sensitive and less variable than has previous testing. The VDD8 can also serve for measurement of differential sensitivity, discrimination of quality, and perception of mixtures and masking. The exposition seeks to transmit general lessons while it proffers some specifics of design to reproduce features of the device in a new or existing system. The principles can apply to devices for animal testing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.