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electronic tongue (taste sensing system)

concept / concept-electronic-tongue

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Electronic tongue (taste sensing system) is an instrument combining an array of nonspecific, low-selectivity chemical sensors with overlapping signals and chemometric data processing. It is used as a nonhuman alternative for taste evaluation.

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  1. Overview
  2. Sources for this overview (4)
  3. Topic hubs
  4. Related entries (10)
  5. Sensory (3)
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Reading the bitterness

An electronic tongue arranges sensors that each have low specificity and respond to many overlapping chemical signals, then analyzes their outputs by chemometrics (multivariate data processing). It is used, especially to evaluate pharmaceutical bitterness, as an alternative to human sensory assessment. A review notes that electronic-tongue output does correlate with conventional human taste panels, but not always consistently.

Its predictive power is disputed. For chemically similar drugs, such as quinine hydrochloride solutions anchored to 8 charged H1-receptor antagonists, correlation between electronic-tongue signals and human scores was high (R2 = 0.910; R2 = 0.9621 in a model using 2 other sensors). In contrast, a study ranking chemically diverse drugs by electronic-tongue Euclidean distance from least bitter said the ranking could not be compared with previously published human taste-threshold data. Ranitidine hydrochloride ranked most bitter by electronic tongue but received a bitterness probability of only 0.737 from a bitterness-prediction web server; conversely, sucrose octaacetate, a known bitter acetylated sugar, was predicted sweet with probability 0.752.

Of 55 electronic-tongue bitterness projects published in the preceding 10 years, only 26 validated their results with human or animal data. Validation was described as working particularly well for charged drugs, especially ones resembling H1 antihistamines, but was difficult for uncharged substances. Thus an electronic tongue is suitable for taste assessment in at least some projects and particular drugs, but fully modeling a biological taste system with artificial sensors is complex and requires validation by sample and condition.

This configuration also appears as an IUPAC definition. A 2026 review quotes it as an instrument combining an array of low-selectivity sensors with multivariate analysis or pattern recognition.

Another study examined bitterness masking in 5 herbal mother tinctures—white horehound, propolis, thyme, plantain, and eucalyptus—using an electronic tongue with 7 potentiometric sensors and PCA with caffeine as a standard bitter-direction reference. It says electronic-tongue analysis cannot quantitatively assess bitterness or taste in general. Only the abstract has been checked.

Sources for this overview

  1. One of the major challenges of masking the bitter taste in medications: an overview of quantitative methods for bitterness

    Wang P; Li H; Wang Y; Dong F; Li H; Gui X; Ren Y; Gao X; Li X; Liu R / 2024 / review / full text checked

    Checked for this overview: Checked the review's statement that correlation with human panels is inconsistent.

  2. Critical View on the Qualification of Electronic Tongues Regarding Their Performance in the Development of Peroral Drug Formulations

    Steiner D; Meyer A; Immohr LI; Pein-Hackelbusch M / 2024 / review / full text checked

    Checked for this overview: Checked R2 values of 0.910 and 0.9621 with H1-antagonist anchors. / Checked ranking disagreement in a 7-drug set and probabilities 0.737/0.752. / Checked 26 validated projects out of 55 and performance for ionized drugs.

  3. Electrochemical Sensors as a Tool for Taste Perception in Pharmaceutical Products: Advances and Perspectives

    Gongoni JLM; Medeiros M; Azevedo H; de Araújo MM / 2026 / review / full text checked

    Checked for this overview: Quotation of the official IUPAC definition of electronic tongue.

  4. Evaluation of bitterness in mother tinctures by an electronic tongue: impact of cyclodextrin complexation

    Kallel J; Ben Aissa S; Ousji B; Chevalier Y; Hbaieb S; Bordes C / 2025 / journal article / abstract checked

    Checked for this overview: Statement that electronic tongue cannot quantitatively assess bitterness.

Structured claims — open a section to read each claim's confidence, evidence and limits

Sensory (3)

electronic tongue (taste sensing system) can predict human bitterness ratings of Drugs in solution. The reported agreement is high for chemically similar, charged (ionized) drugs (R2 = 0.910 with the Insent SB2BT0 sensor, R2 = 0.9621 with the ASTREE PLS model, both against 11 trained volunteers who rated 8 H1-receptor antagonists using quinine hydrochloride as the anchor), but ranking agreement breaks down across a chemically heterogeneous set of drugscontested

Scope: Oral drug formulation development. The evidence base reviewed in Pharmaceutics 2024 (55 projects over the past 10 years) and Frontiers in Chemistry 2024

Note: Both the supporting observation and the contradicting observation come from the same 2024 review, which presents both side by side. The reviewers' own summary is that the electronic tongue can succeed as an evaluation of bitterness rather than a prediction of it, but that correlation with human data is still needed even so.

2 independent panels of 11 trained volunteers each rated 8 H1-receptor antagonists against anchor solutions of quinine hydrochloride (0.01, 0.03, 0.1, 0.3, and 1 mM). Multiple regression on the Insent SB2BT0 sensor signal, its CPA value, and adsorption capacity reproduced the human scores at R2 = 0.910, and a PLS model against 2 ASTREE sensors (AB, JE) reproduced them at R2 = 0.9621. Because these drugs share similar physicochemical properties, the review points out that this is an evaluation approach rather than a predictive one.
Limitations: A chemically homogeneous drug set, all cationic. The review itself downgrades this result from prediction to evaluation. The primary study has not been read here.
Contradicts: A 2006 ASTREE study ranked drugs at 10 mM, by PCA Euclidean distance from water, from least to most bitter as: ranitidine HCl > prednisolone Na > quinine HCl ~ phenylthiourea > paracetamol >> sucrose octaacetate > caffeine. Lining up the same substances by previously published human taste thresholds instead gives sucrose octaacetate <= quinine HCl < phenylthiourea <<< caffeine < paracetamol, and the review states that this cannot be compared with the electronic tongue's ranking. The review also notes that ranitidine HCl, ranked most bitter by the electronic tongue, was given only a probability of 0.737 of being bitter by a bitterness-prediction web server, while sucrose octaacetate, a known bitter acetylated sugar, was predicted to be sweet with a probability of 0.752.
Limitations: The review itself states that this comparison is debatable: the electronic-tongue samples at 10 mM are far above human threshold concentrations, and non-ionic drugs (phenylthiourea, paracetamol, caffeine) are ranked alongside ionic drugs, even though the electronic-tongue system detects the latter far better. No human threshold data at all could be found for ranitidine HCl or prednisolone sodium, and these 2 were excluded from the human-side ranking.
Limits: Of 55 e-tongue taste-masking projects published in the preceding 10 years, 26 presented in vivo data (human or rodent) validating the e-tongue results, covering 36 drugs. Correlation between in vivo and e-tongue data worked especially well for ionized drugs, particularly those with properties close to the H1 antihistamines, while difficulties arose for uncharged substances. The conclusion is that the e-tongue is qualified for taste-masking evaluation only for at least some projects and specific drugs, and that correlation with human data continues to be necessary because the biological taste system is too complex to be fully modeled by an artificial sensor.
Limitations: Fewer than half of the projects involved in vivo validation, and the domain of applicability is defined mainly by the studies that chose to validate.
Limits: The review states that a correlation exists between electronic-tongue output and conventional human taste-panel methods, but that it is not always consistent. This is because it depends on the type of electronic tongue, sensor selection, signal processing, data analysis, standardization of the tasting method, and evaluator training, and also because the electronic tongue's perceptual mechanism and sensitivity differ from a human's, so it may not fully capture individual taste perception. This relationship therefore requires calibration and validation specific to the sample and conditions, and cannot be generalized.
Limitations: This is a methodological position statement rather than new data. The primary study cited as grounds for the high correlation (a model for matrine, oxymatrine, and berberine hydrochloride with R2 0.8955-0.99965) has not been read here.
Source: One of the major challenges of masking the bitter taste in medications: an overview of quantitative methods for bitterness (Wang P; Li H; Wang Y; Dong F; Li H; Gui X; Ren Y; Gao X; Li X; Liu R, 2024) · full text checked
Show dataconcept-electronic-tongue —can_predict_human_bitterness_ratings_of→ "Drugs in solution. The reported agreement is high for chemically similar, charged (ionized) drugs (R2 = 0.910 with the Insent SB2BT0 sensor, R2 = 0.9621 with the ASTREE PLS model, both against 11 trained volunteers who rated 8 H1-receptor antagonists using quinine hydrochloride as the anchor), but ranking agreement breaks down across a chemically heterogeneous set of drugs"
claim: clm-etongue-predicts-human-bitterness / type: sensory / updated: 2026-08-30
electronic tongue (taste sensing system) is defined as In the IUPAC (International Union of Pure and Applied Chemistry) definition, an electronic tongue is described as an instrument combining an array of low-selectivity sensors with multivariate analysis or pattern recognition techniques.contextual

Scope: Layer: literature. A definition quoted as IUPAC's in a 2026 review.

"According to the International Union of Pure and Applied Chemistry (IUPAC), an e-tongue is defined as a device that combines an array of low-selective sensors with multivariate analysis or pattern recognition techniques."
Limitations: The original IUPAC source has not been checked here; this relies on a review's quotation.
Source: Electrochemical Sensors as a Tool for Taste Perception in Pharmaceutical Products: Advances and Perspectives (Gongoni JLM; Medeiros M; Azevedo H; de Araújo MM, 2026) · full text checked
Show dataconcept-electronic-tongue —is_defined_as→ "In the IUPAC (International Union of Pure and Applied Chemistry) definition, an electronic tongue is described as an instrument combining an array of low-selectivity sensors with multivariate analysis or pattern recognition techniques."
claim: clm-w71d1-etongue-iupac-definition / type: sensory / updated: 2026-09-07
electronic tongue (taste sensing system) — methodological limitation: A bitterness-masking study of 5 herbal tinctures (white horehound, propolis, thyme, plantain, eucalyptus) using an Alpha Astree II electronic tongue with 7 potentiometric sensors states that electronic-tongue analysis cannot quantitatively assess bitterness or taste in general.preliminary

Scope: Layer: solution. Electronic-tongue data analyzed by PCA (principal component analysis), using caffeine as a standard reference for the bitterness direction.

"The e-tongue analysis does not allow a quantitative assessment of bitterness, and of taste in general."
Limitations: Abstract only. Full-text measurement conditions and statistical methods have not been checked.
Source: Evaluation of bitterness in mother tinctures by an electronic tongue: impact of cyclodextrin complexation (Kallel J; Ben Aissa S; Ousji B; Chevalier Y; Hbaieb S; Bordes C, 2025) · abstract checked
Show dataconcept-electronic-tongue —has_methodological_limitation→ "A bitterness-masking study of 5 herbal tinctures (white horehound, propolis, thyme, plantain, eucalyptus) using an Alpha Astree II electronic tongue with 7 potentiometric sensors states that electronic-tongue analysis cannot quantitatively assess bitterness or taste in general."
claim: clm-w71d1-etongue-no-quantitative-bitterness / type: sensory / updated: 2026-09-07

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