Evaluation of seabuckthorn and plum based jam for chemical constituents, storage and organoleptic parameters
Bibliographic record
Abstract
Seabuckthorn (Hippophae rhamnoides spp. Turkestanica) is a wild, edible, vitamin rich, orange-yellow coloured berry belonging to Elaegnaceae family. This high-altitude temperate plant is distributed wildly in the Himalayan region of India like Lahaul and Spiti valley of Himachal Pradesh, Uttaranchal, Sikkim and Arunachal Pradesh. It also grows in America, Asia, Canada and Europe. The aim of this present study was to evaluate the effect of blending and storage duration on chemical constituents and sensory acceptability of seabuckthorn and plum based jam. Ripened Seabuckthorn berries were procured from Lahaul Valley. Fresh plums (Prunus domes-tica) fruit of Santa Rosa variety were purchased from the local market. Jam was prepared from pure seabuckthorn pulp and its blends with plum pulp at 25, 50,100 percent levels of replacement of seabuckthorn pulp with plum pulp. Jam samples were evaluated for various chemical and sensory attributes at different storage intervals, i.e., 0, 60 and 120 days. The ascorbic acid, TSS, acidity, total sugars, non-reducing sugars decreased with the increase in the storage period whereas pH, Brix acid ratio and reducing sugars increased. The overall acceptability scores revealed non-significant (P<0.05) effect of storage and interactions between storage and blending on the sensory quality of the jam samples. However, blending of seabuckthorn and plum pulps for the preparation of jam in 1:1 ratio improved the overall acceptability ratings of the jam over the pure seabuckthorn jam.
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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".