Stability of Haskap Berry (Lonicera Caerulea L.) Anthocyanins at Different Storage and Processing Conditions
Bibliographic record
Abstract
The effect of freezing, frozen storage (–18 °C for 6 months), thawing, juice extraction, and hot-air drying on the anthocyanin profile of haskap berry (Lonicera caerulea L.) was investigated using RP-HPLC. Five anthocyanins (ANCs) were quantified: cyanidin 3,5-di-glucoside (4.27 % of the total ANCs), cyanidin 3-glucoside (89.39 %), cyanidin 3-rutinoside (2.07 %), pelargonidin 3-glucoside (0.83 %), and peonidin 3-O-glucoside (3.44 %). Freezing did not significantly affect the content of individual ANCs, while frozen storage resulted in significant reductions (16.00-24.50 %). Thawing the frozen berries in the microwave oven retained the highest content of different ANCs. The highest degradation, however, occurred while thawing at room temperature. Extracting juice from the berries significantly reduced the content of individual ANCs. Drying the berries to 25 % moisture content at 60, 100, and 140 ºC reduced the individual ANCs by 73.85-76.19, 78.46-80.95 and 90.77-95.40 %, respectively. The overall stability of the five ANCs during storage and processing is summarized by the following trend (from most to least stable): peonidin 3-O-glucoside > pelargonidin 3-glucoside > cyanidin 3,5-diglucoside > cyanidin 3-rutinoside > cyanidin 3-glucoside.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".