Effect of Traditional Dried Starter Culture on Morphological, Chemical and Physicochemical Properties of Sweet Fermented Glutinous Rice Products
Bibliographic record
Abstract
Sweet glutinous rice products or khao-mak in Thai were prepared by fermenting cooked glutinous rice (RD6 variety) using traditional starter cultures from Samut Sakhon (SSK) and Pathum Thani (PTT) Provinces at room temperature (28±2 °C) for 3 days. Amylolytic activities of microbial excisting in the traditional starter cultures were tested. Meanwhile, types and amounts of microbial growth in fermented rice products were investigated. Both traditional dried starter cultures showed strong amylolytic activity after inoculation for 2 and 3 days in starch agar. Microbiological profiles of rice fermentation were varied in total plate count, yeast and molds over the fermentation period. Different starter cultures resulted in a wide variation of end products with diverse chemical, microbiological and morphology properties; however those changes exhibited similar trends in all treatments. As fermentation time increased, protein content remained unchanged while total soluble solids, pH, acidity, sugar and alcohol content markedly increased compared with unfermented cooked rice. PTT showed products with higher acidity and alcohol content (0.50%, 2.58%) than SSK (0.31%, 1.85%). Morphological examination of rice grains revealed that microbial growth started from the outer surface and then moved inside the rice grains with greater corrosion was observed as fermentation time increased. Pasting and gelatinization properties of the rice flour were also strongly affected by fermentation.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.001 | 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".