Influence of Maltodextrin on Physicochemical Characteristics of Lyophilized Mangaba Pulp
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The use of lyophilization has increased because of the quality attributes exhibited by dehydrated products, which can be directly consumed or added in formulations of high nutritional value. The objective of this study was to obtain mangaba powder through the lyophilization of the formulations F1 - 0%, F2 - 10%, F3 - 20% and F4 - 30%, chosen based on the percentage of the carrier agent, for the characterization of its water content, titratable acidity, pH and color, represented by the parameters luminosity (L*), intensity of red (+a*) and intensity of yellow (+b*). The results showed that the addition of maltodextrin positively altered the characteristics of the product, favoring a reduction in the parameters of acidity (5.36 to 1.5), pH (3.71 to 4.13), water activity (0.230 to 0.075) and moisture (11.44 to 1.16), as well as an increase in luminosity L*, which varied from 52.16 to 72.5, and reduction in the chromaticity a* and b*, showing results that express a lower intensity of red and yellow colors, approaching zero for a* and b*, respectively, and also that the production of mangaba powder can be a viable alternative for its industrialization and a choice for the development of the crop with generation of employment and income to farmers.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it