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Updated: May 7, 2026

Simple and Computer-assisted Olfactory Testing for Mice
Published on: June 15, 2015
Evaluating methods for quantitative olfactory assessment: a comparative longitudinal analysis of Sniffin' Sticks and
Parvaneh Parvin1, Valentina Parma2,3, Birgit van Dijk1
1Department of Human Nutrition and Health, Wageningen University & Research, Stippeneng 4, Wageningen 6708 WE, The Netherlands.
None:
Anosmia and hyposmia, referring to total or partial smell loss, respectively, affect 3% to 20% of people. The Sniffin' Sticks Extended Test, assessing odor threshold, discrimination, and identification (TDI), is a well-validated tool widely used in European and US clinics. However, its time and resource demands limit routine use. During the COVID-19 pandemic, several rapid smell tests were developed, yet their classification performance and agreement with established psychophysical measures remain underexplored. We compared 4 alternatives-the Visual Analog Scale for self-rated smell ability (VAS), the smell section of the Appetite, Hunger, and Sensory Perception questionnaire (AHSP), the Global Consortium for Chemosensory Research Smell Check (GCCR-Check), and the SCENTinel rapid smell test-against TDI scores in a longitudinal cohort of 96 adults (77 female patients; age 46.6 ± 10.5 yr) with post-COVID-19 smell dysfunction, assessed up to 5 times over 12 mo. Analyses used Generalized Estimating Equations for repeated measures, Bland-Altman plots for agreement and bias, and area under the receiver operating characteristic (AUC) curves for classification. No tool dominated across all TDI-defined categories. SCENTinel showed robust performance for anosmia (0.81) with the most balanced sensitivity-specificity trade-off among rapid tests, while GCCR-Check achieved the highest AUC for anosmia (0.88) and VAS best identified normosmia (0.73). Agreement analyses revealed systematic biases in self-report and rapid psychophysical tests. Rapid tools reliably detect anosmia, while classification performance decreases near diagnostic boundaries, particularly for normosmia. Combining brief self-report and short psychophysical measures may improve accuracy while maintaining feasibility for clinical and large-scale screening.

