Effects of superheated steam processing on the functional properties of oat groat, bran and flour, and on viability of Geobacillus stearothermophilus spores
Why this work is in the frame
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Bibliographic record
Abstract
AEST'R,dCTOat grain (Avena sativa) used for human consumption is heat-treated to inactivate fat- splitting enzymes and prevent development of rancidity, obtain desirable flavour, and reduce microbial load.A typical conventional processing of oats involves conditioning with saturated (wet) steam followed by kiln drying.The latter is energy intensive and difficult to control' Additionally, there is a risk of grain cross-contamination with microorganisms present in the air used for cooling of the grain after the drying.In this work, superheated steam (SS) processing was evaluated as a method of heat treatment altemative to conventional processing of oats.The effects of SS on the physicochemical and functional properties of oat groats and/or flour and bran fractions were determined using: (a) mixed Canadian oat cultivars (typically used for commercial processing); (b) two oat cultivars varying in physical grain characteristics and composition (i.e.p-glucan content).Additionally, the viability of heat-resistant Geobacillus stearothermophilus ATCC 10149 spores challenged with SS was determined and modelled mathematically.Oat groats processed with SS at temperatures of 110-130oC had acceptable moisture content, appearance, and exhibited cold paste (64oC) viscosity higher (by up to 1,200 cp) than that of conventionally processed oat grain.The use of SS at temperatures of 140-160.C for processing of groats resulted in even higher cold paste viscosity but also caused low final moisture content (4'7% wet basis, wb) and fast development of rancidity.processing \Mith SS was effective in the inactivation of peroxidase in groats in which post-processing moisture content was at l0%o (wb) and less.The optimum conditions for SS processing of oat groats were: temperature of 110oC, a velocity of 1.00 m/s, and processing times of l0 and 14 min, both of which gave shelf stable groats with moisture content at the safe storage have helped me develop scientifically, professionally and as a person.I extend a genuine thank you to Dr. M.
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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 | 0.000 | 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) | 0.000 | 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