Abstract 18991: Salt Taste Detection and Recognition Thresholds - Reliability of a Rapid Sensory Analysis Method
Bibliographic record
Abstract
Introduction: Excessive sodium intake is clearly and independently associated with hypertension and cardiovascular diseases. The salt taste sensitivity is closely related to hedonic aspects of nutrition, and this is an important individual factor contributing to the nutritional behavior of salt intake. Hypothesis: The purpose of this study was to evaluate the reliability of an adapted-sensory analysis method for rapid determination of salt taste Detection Threshold (DT - the minimum concentration necessary to detect the stimulus) and Recognition Threshold (RT - the minimum concentration necessary to recognize the salty stimulus). Methods: The temporal stability of a rapid sensory analysis based on the 3-alternative forced-choice (3-AFC) method (ASTM E679) was tested with 30 adult volunteers. DT and RT for salt were determined using a 15 series of ascending concentrations of salt (from 1 to 290 mM; 1,5-fold steps). Intraclass correlation coefficient (ICC) was used to test the agreement between the results of the test-retest (1-week interval). For the analysis, the threshold values were log-transformed. Results: The average time of the trial per participant was 16.7 minutes. Standard deviation on log-transformed DT and RT values quite were variable among subjects. Means for both DT and RT were lower in the retest: 2,99 mM (test) vs. 2,41 mM (retest) for DT; and 19,04 mM (test) vs. 13,76 mM (retest) for RT. However, the test-retest results for both thresholds were reasonably in agreement, as confirmed by the ICCs observed: 0.599 (CI95%; 0,157 - 0,809) and 0.783 (CI95%; 0,545 - 0,897) for DT and RT, respectively. Conclusions: The sensory analysis method used in this study exhibited evidence of temporal stability, thus of a reliable measure. This observation and the fact of being fast and simple to perform for both experimenter and participant, reinforce its suitability for the determination of salt taste thresholds in studies involving large numbers of subjects. Linking between taste sensitivity to salt consumption and some clinical characteristics such as obesity and visceral fat, may help to understand the mutual influence of these variables, and suggest appropriate interventions to reduce salt intake among individuals at higher cardiovascular risk.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".