ArticleJournal of food science2026
A Standardized Aroma Lexicon and Sensory Wheel for Characterizing Aroma Quality of Traditional Korean Doenjang.
Article in Journal of food science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Traditional Korean doenjang is a spontaneously fermented soybean paste with complex and variable aroma characteristics, but a standardized sensory language for describing its aroma quality has not been established. This study developed a reference-based aroma lexicon and aroma wheel for traditional Korean doenjang and evaluated their applicability for sensory characterization. Eighty-one traditional doenjang samples collected from nine regions of Korea were evaluated by a trained descriptive sensory panel. The panel identified 80 aroma descriptors, which were defined with reference standards and organized into 10 first-level and 19 second-level categories, including fermented soybean-related, fish-related, fruity, sweet, dairy-associated, lipid-related, vegetable-like, roasted, grain-like, spicy, sour, and miscellaneous aroma characteristics. All descriptors significantly discriminated among samples after false discovery rate correction (q < 0.05), and the median eta-squared and omega-squared values were 0.885 and 0.878, respectively, indicating strong sample-related variation. Hierarchical cluster analysis supported the organization of major descriptor groups, particularly fermented soybean-related, fruity, dairy-associated, roasted, vegetable-associated, and fish-related attributes. Principal component analysis showed broad dispersion of the samples, suggesting that aroma profiles were influenced more by differences among individual traditional doenjang products than by geographic origin alone. An applicability assessment using 12 representative samples selected from the original sample set supported the practical coverage of the established lexicon without requiring additional major descriptors. These results provide a standardized sensory framework for describing the aroma quality of traditional Korean doenjang and support its use in quality evaluation, product development, sensory communication, and future sensory-instrumental studies of fermented soybean foods. PRACTICAL APPLICATIONS: The aroma lexicon and sensory wheel developed in this study can help producers, researchers, and quality control personnel describe the aroma quality of traditional Korean doenjang using consistent terms. The full lexicon provides a comprehensive reference framework, while selected descriptors from major aroma categories can be used as a reduced working lexicon for product-specific quality evaluation, sensory training, product development, and communication of aroma differences among fermented soybean products.
Indexed as
Identifiers
What OpenQuestion holds
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.