ArticleFood chemistry: X2024
Study on the dynamic change of volatile components of white tea in the pile-up processing based on sensory evaluation and ATD-GC-MS Technology.
Article in Food chemistry: X, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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
9 citing papers in PubMed.
- Elucidation of Grassy Off-Odor Formation in Wuyi Rock Tea Processed from Dew-Soaked Leaves via GC-MS, Molecular Docking, and Sensory Evaluation.Foods (Basel, Switzerland) · 2026Article
- Processing technology as aroma architect: OAV fingerprints decode differentiation and compatibility of key odorants in Fuding Dabai tea via GC×GC-TOF-MS and sensomics.Food chemistry: X · 2026Article
- Exploring the taste code of light-withered tea: the mechanism of nonvolatile metabolite changes in LED light-withered oolong tea (Food chemistry: X · 2025Article
- Metabolite Analysis of Hangzhou Gongmei White Tea of Different Varieties.Foods (Basel, Switzerland) · 2025Article
- Airflow: A double-edged sword in shaping white tea quality.Food chemistry: X · 2025Article
- Characterizing flavor determinants and α-glucosidase inhibitory components in ancient tea plants and 'Food chemistry: X · 2025Article
- Evaluation of changes in chemical composition and antioxidant activities from vine tea at different harvest times based on LC-MS, GC-MS, and data fusion algorithms.Food chemistry: X · 2025Article
- Volatile metabolomics highlights tea trichome's positive contribution to aroma and quality of white tea.Current research in food science · 2025Article
- Sensory-directed flavor analysis of Jinggu white tea: Exploring the formation mechanisms of sweet and fruity aromas.Food chemistry: X · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The pile-up processing has a great impact on the flavor of white tea. To investigate the effects of the volatile accumulation of white tea with different piling thickness treatments, tea leaves from different thickness treatments were subjected to sensory quantitative description analysis and ATD-GC-MS detection in this study. As a result, 122 volatile components were identified from white tea with different treatments. A total of 8 key compounds, including isovaleraldehyde, isobutyraldehyde, 2-methyl-butanal, 1-octene-3-ol, linalool, pentanoic acid, hexanal and 1-hexanol were screened out using multivariate statistical analysis, which were characteristic components of grassy, floral-fruity, pekoe aroma and sweet flavors. The results of the selected key characteristic volatile compounds were consistent with the sensory quantitative description. The aroma of mid-pile dried tea (MD) was exhibited a harmonious and pleasant overall flavor. This study provides a novel insight into the accumulation of volatile during the withering step of white tea production.
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.