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Why the Smell of Coffee Can Be Repulsive to People With Parosmia

A hand holding a cup of coffee with steam coming off the coffee.
Credit: Clay Banks/ Unsplash.
Read time: 6 minutes

The smell of coffee evokes rich, complex aromas for most people – roasty, nutty, slightly sweet, even floral at times. Yet for individuals with parosmia (a distorted sense of smell), that same aroma can smell like burning rubbish, spoiled garbage or chemical rot. In extreme cases, simply breathing in freshly ground coffee can elicit nausea or disgust.


Parosmia is a qualitative olfactory disorder in which odors are perceived incorrectly – often unpleasantly – despite the presence of the original odorant. It differs from anosmia (complete loss of smell) or hyposmia (reduced sensitivity). The distorted perception in parosmia reflects altered signal processing in the olfactory pathways.


Understanding why the smell of coffee makes people nauseous requires delving into the chemistry of coffee aroma, the physiology of olfaction and how those two interact differently in parosmia. In this article, we explore how lab methods such as gas chromatography (GC)‑olfactometry can pinpoint trigger molecules, examine the latest epidemiology on post-viral olfactory disorders and discuss implications for diagnosis and management.

Olfaction: From molecule to perceived aroma

How the normal olfactory system works

  1. Odorant transport and binding
    Volatile molecules (odorants) in the air are inhaled into the nasal cavity, diffuse through the mucus of the olfactory epithelium and bind to olfactory receptor neurons (ORNs).
  2. Receptor activation and encoding
    Binding of odorants activates a cascade (G‑protein coupled receptor pathways), generating a pattern of neural firing across ORNs. Each odorant typically stimulates multiple receptor types; conversely, each receptor responds to many odorants.
  3. Signal transmission
    Signals converge into the olfactory bulb, where glomerular mapping aggregates receptor inputs. Further processing in higher brain regions integrates odor identity, intensity and hedonic (pleasantness) interpretation.
  4. Perception and interpretation
    The dynamic neural representation is interpreted as a smell – e.g., coffee, onion, floral. Hedonic valence (pleasant/unpleasant) is modulated by memory, emotion and learned associations.

In parosmia, somewhere along this chain – at receptor binding, signal encoding or neural inference – the fidelity is altered. The smell of coffee becomes misprocessed, often with a dominant, unpleasant character.

The chemistry of coffee aroma

Coffee aroma is chemically complex: roasted coffee contains well over a hundred volatile compounds, but only a subset contributes strongly to perceived smell. Among the major chemical classes are:

  • Furans (e.g. furfural derivatives)
  • Pyrazines (nutty, roasted notes)
  • Sulfur‑containing compounds (potent, low‑threshold odorants)
  • Volatile acids, aldehydes, phenols


Sulfur volatiles are among the most potent because many have detection thresholds in the low parts per trillion or parts per billion. One of the most significant sulfur compounds in roasted coffee is 2‑furanmethanethiol.

  • This compound is often described as having a “roasted coffee” aroma, but with descriptors like “burnt” and “sulfurous” when isolated.
  • It has an extremely low detection threshold (some studies report ~0.4ng/L in a hydroalcoholic medium).
  • In model coffee systems, addition of 2‑furanmethanethiol beyond certain concentrations can paradoxically reduce preference, as the aroma becomes overbearing or “burnt.”
  • Its formation is associated with Maillard reactions and thermal degradation of precursors during roasting.


Because of its strength, 2‑furanmethanethiol is one of the prime candidates for being a “trigger” in the distorted olfactory perception of coffee – especially when normal olfactory wiring is compromised.

Parosmia, post‑viral olfactory disorders and the smell of coffee

Before the COVID‑19 pandemic, parosmia was considered rare, typically following upper respiratory viral infections. With the large number of SARS‑CoV‑2 infections worldwide, the incidence of post‑viral olfactory disorders, including parosmia, has increased dramatically.

  • Meta‑analyses and clinical studies show that anosmia, hyposmia, and parosmia are frequent sequelae after COVID‑19 infection.
  • In one healthcare‑worker cohort, 15 months post-COVID-19 infection, 37% had reduced quantitative smell and 51% of COVID-19 recovered individuals had qualitative symptoms. Even 2.6 years later, 24% of infected subjects still experienced parosmia.


Clinically, patients often list coffee, onion, garlic, meat and green peppers among the most frequent trigger foods whose smell is perceived as nauseating.

Green virus entering a person's nose in black and white, which can cause parosmia and effect how someone perceives the smell of coffee.

Credit: iStock.

Molecular triggers revealed

In a study utilizing GC‑olfactometry, researchers captured the aroma volatiles from coffee, separated them temporally in a capillary and asked volunteers (both with and without parosmia) to sniff and describe them sequentially. From around 100 aroma compounds present in brewed coffee, they honed in on 15 compounds commonly identified by parosmic participants as repulsive triggers. Among these, 2-furanmethanethiol stood out for its potency.

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Dr. Jane Parker, professor at the University of Reading, remarked: “This is solid evidence that it’s not all 'in the head', and that the sense of disgust can be related to the compounds in the distorted foods. The central nervous system is certainly involved as well in interpreting the signals that it receives from the nose. The parosmic experience is a combination of the two mechanisms which produces the distorted perception of everyday foods, and the associated sense of disgust.”


Simon Gane, one of the researchers, from the Royal National Ear, Nose and Throat and Eastman Dental Hospital, added: "We still have a long way to go in understanding this condition, but this research is the first to zoom in on the mechanism in the nose. We now know this has to be something to do with the nerves and their receptors because that’s how these molecules are detected."

Laboratory methods: How to probe the smell of coffee

GC‑olfactometry is a hybrid analytical–sensory approach:

  1. Gas chromatography (GC) separates volatile compounds by their retention time in a capillary column (or sometimes a long, narrow pipe).
  2. At the end of the column, instead of (or alongside) a detector, a sniffing port allows human panelists to smell the eluting volatile compounds sequentially.
  3. Panelists record descriptors and intensities; thus, each chromatographic peak is associated with a human-odor perception.
  4. In the parosmia study, the sequential separation allows patients to identify which compounds (in order) elicit disgust.


The advantage is that you can correlate precise molecular identity (derived from gas chromatography–mass spectrometry (GC-MS) co‑analysis) with human olfactory responses – ideal for discovering trigger molecules.


Limitations & considerations:

  • Temporal overlap: closely eluting compounds may co-olfact and confound attribution.
  • Panelist fatigue: continuous sniffing may desensitize receptors.
  • Concentration calibration: the odorant reaching the panelist must mimic physiologically relevant concentrations.


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Complementary analytical methods

  • GC-MS: Identify molecular masses and structural fragments to assign identity to peaks that evoke responses in GC-olfactometry.
  • Quantitative GC: Determine concentrations of aroma compounds in brewed coffee.
  • Olfactory threshold determinations: In control panels (non-parosmic), assessing the detection thresholds for each candidate compound helps contextualize potency differences.
  • Model systems and spiking experiments: Adding known concentrations of putative trigger molecules (e.g. 2-furanmethanethiol) to baseline coffee to test whether they provoke responses in parosmic panels.
  • Sensory psychophysics and hedonic scaling: Compare ratings of pleasantness/unpleasantness across affected vs unaffected panels.


These methods, combined, allow researchers to map the smell of coffee from a chemical fingerprint to perceptual response – especially in distorted olfaction.

Implications and future directions

This case study illustrates how a single aroma (the smell of coffee) can be dissected down to molecular triggers and altered perception – offering a model system for studying other distorted olfactions (e.g. in neurodegenerative disease). It underscores the complexity of hedonic coding in the olfactory system: not just “what is this smell?” but “is it pleasant or disgusting?” In sensory science and food chemistry, understanding how high-potency volatiles skew perception can aid in designing aroma-balanced formulations (for food, beverages, fragrance) that are robust across different olfactory sensitivities.


The smell of coffee, cherished by many, becomes a source of disgust and nausea for people with parosmia. This distortion is not imaginary. By employing techniques such as GC‑olfactometry, coupled with molecular identification and psychophysical testing, scientists have pinpointed culprit aroma compounds that disproportionately trigger negative perceptions in a damaged olfactory system.


For laboratory professionals, this research offers a blueprint: combining chemical separation, sensory panels, threshold quantification and neural models to resolve how molecular inputs become distorted percepts. Clinically, the insights pave the way for improved diagnostics, personalized olfactory training and eventual regenerative therapies.


This article is a rework of a press release issued by the University of Reading. Material has been edited for length and the content has been updated to provide additional context and details of related developments since the original press release was published on our website. This article includes text that has been generated with the assistance of AI. Technology Networks' AI policy can be found here. 

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