Nanostructural characterization and sorption isotherm analysis of spray-dried date powder
Bibliographic record
Abstract
Dates are naturally rich in antioxidants and other bioactive molecules. To enhance the shelf life and market value of these bioactive molecules, free flow spray-dried date powder was produced in a pilot scale spray drier. To better understand the rheological properties of the spray-dried date powder produced by different carrier materials (maltodextrin (MD) and gum Arabic (GA)), different drying temperatures (150 and 170°C) and different flow rates of the atomizer (25 and 40 mL/min), a microstructural characterization of the scanning electron microscopy images of the date powder was performed using the graphical user interface design environment and image analysis toolbox in MATLAB. Also, the fundamental rheological characteristics of deformation and flow of particulate solids (i.e., packing, permeability, and strength) were obtained using an advanced rheometer and helium pycnometer. The microstructural and rheological properties of the date powders were significantly affected by the processing conditions used in this study. The date powder produced with MD had smooth, regular-shaped spherical particles along with good agglomeration and packing characteristics. Date powder with GA had irregular-shaped relatively smaller particles with dented surfaces with poor agglomeration and packing properties. Moreover, the rheological quality of the date powders was inversely proportional to the temperature and flow rate. The Guggenheim–Anderson–de Boer model for sorption isotherms was a suitable fit for the date powder. The monolayer moisture content for gum Arabic was twice that of the maltodextrin carrier material, whereas the monolayer heat of sorption was higher for maltodextrins. Using maltodextrin as the carrier material and drying at 150°C with a flow rate of 25 mL/min produced a free flowing less caking product as depicted by the sorption isotherms.
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 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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".