[Characteristics and nutritional analysis of the polyphenols and multi-elements in the not from concentrated fruit juices].
Bibliographic record
Abstract
OBJECTIVE: To determine the polyphenols and multi-elements in the 11 not from concentrated fruit juices on the market, understand their content characteristics and evaluate their nutrient value. METHODS: The contents of total anthocyanins, total polyphenols and 16 multi-elements in fruit juice were determined by pH differential method, colorimetric method using Folin-Ciocalteu reagent, inductively coupled plasma mass spectrometry and direct mercury analysis. The polyphenols and multi-elements in the fruit juices were analyzed by nutrient density(ND) and index of nutrient quality(INQ). RESULTS: The total anthocyanins content in fruit juice was none detected-1664 mg/L, with the highest content in blue honeysuckle juice. The total polyphenols content in fruit juice was 281-2948 mg/L, with the highest content in chestnut rose juice. Potassium had the highest content of macroelements in fruit juice, ranging from 288 to 1996 mg/L and manganese had the highest content of trace elements, ranging from 0.2 to 17.7 mg/L. The ND of potassium, calcium, sodium, magnesium, iron, zinc, copper, and selenium were relatively low, each of them less than 10%. The ND of manganese, chromium, and molybdenum are relatively high, ranging from 0.4% to 39.3%, 0.7% to 35.3% and 0% to 13.2%, respectively. The INQ of total anthocyanins in fruit juice ranged from 0 to 167.63. The INQ of total anthocyanins in fruit juice was greater than 1 except sea buckthorn juice and chestnut rose juice. The INQ of potassium and iron in fruit juices were less than 6, calcium and zinc were less than 2, magnesium and copper were less than 4, and sodium was less than 3. The INQ of manganese, chromium, and molybdenum were higher than that of other multi-elements, ranging from 0.21 to 24.00, 0.27 to 15.76 and 0 to 7.18, respectively. The INQ of selenium in all fruit juice was less than 1. CONCLUSION: The not from concentrated fruit juices(excluding sea buckthorn juice, chestnut rose juice and cranberry juice(Canada)) are good source of anthocyanins. Blueberry juice, Heilongjiang cranberry juice(China), blackberry juice(Germany), red raspberry juice, black wolfberry juice, Liaoning chokeberry juice(China), and sea buckthorn juice are supplements rich in manganese, chromium, and molybdenum for human body. However, their potassium, sodium, calcium, magnesium, iron, zinc, copper, and selenium cannot satisfy the demand of human body.
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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 | 0.001 | 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".