Refractance Window Drying Of Aonla Pulp To Produce Powder
Bibliographic record
Abstract
Aonla fruits are found to be rich in ascorbic acid and have been reported to be useful in curing many diseases. Refractance Window (RW) drying is a novel thin-film drying process, generally used for drying of heat sensitive farm produce for retention of necessary quality attributes. Aonla pulp of 3 mm thickness was dried using RW drying process to obtain powder. RW drying was conducted to study the single layer drying kinetics, and other quality parameters such as colour, thermal properties, sieve analysis, FT-IR and SEM analysis. RW drying of 3 mm thick pulp entered into falling rate drying period after 6 min of constant rate drying. The diffusivity of moisture values for 3 mm thick pulp RW drying was 5.48 x 10-10 to 3.5 x 10-9 m 2 s -1. The dried powder was bright, more yellow and less green as compared to pulp. FT-IR results show that shift of spectrum peaks were more pronounced for 212 μm powders particles than for 500 μm powder particles with respect of pulp. Ascorbic acid presence is characterized by peaks obtained at 1633 cm-1, 1741 cm-1 in IR spectrum of pulp, 1747 cm-1 and 1629 cm-1, 1749 cm-1 in 500 μm and 212 μm powders particles, respectively. SEM analysis for powder particles shows that the RW dried powder particles were of uniform thickness and smooth surfaces.
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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) | 0.003 | 0.001 |
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".