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Record W4402851654 · doi:10.1016/j.lwt.2024.116823

Effects of different fixation and drying methods on the quality of Dimocarpus longan scented tea

2024· article· en· W4402851654 on OpenAlexaff
Shilian Huang, Ziye Guo, Xinmin Lv, Junbin Wei, Dongmei Han, Dongliang Guo, Jianguang Li

Bibliographic record

VenueLWT · 2024
Typearticle
Languageen
FieldMedicine
TopicTea Polyphenols and Effects
Canadian institutionsMinistry of Agriculture
Fundersnot available
KeywordsQuality (philosophy)Pulp and paper industryFood scienceHorticultureChemistryBiologyEngineeringPhysics

Abstract

fetched live from OpenAlex

Scented tea has been demonstrated to possess favourable pharmacological properties and exert a range of beneficial effects on human health. Longan flowers ( Dimocarpus longan ) are rich in nutrients and have a strong aroma; however, to date, no studies have reported the production of scented tea from longan flowers. The present study sought to investigate the impact of varying fixation and drying methods on the nutritional and antioxidant components of longan flowers. The findings indicated that, with the exception of free amino acids, the contents of other components in longan flowers were not affected by the different drying methods. Longan flowers subjected to steam fixation had higher average content of polyphenols and flavonoids, resulting in higher antioxidant and reducing power capacity. Therefore, this study examined the quality of longan scented tea prepared using different fixation and drying methods, promoted further processing of longan scented tea, and provided a reference to comprehensively utilize longan scented tea for benefiting human health. • Steam fixation had minimal impact on the nutritional components of longan flowers. • Steam fixation enhanced the content of antioxidant components and reducing power. • Different drying methods had little impact on longan scented tea process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.175

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.034
GPT teacher head0.387
Teacher spread0.353 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2024
Admission routes1
Has abstractyes

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