Flaxseed Soluble Dietary Fibre Enhances Lactic Acid Bacterial Survival and Growth in Kefir and Possesses High Antioxidant Capacity
Bibliographic record
Abstract
<p>This study investigated the capability and efficiency of flaxseed soluble dietary fibre /mucilage to enhance bacterial survival and growth in kefir as well as the antioxidant activity of the mucilage. Crude flaxseed mucilage was extracted using a microwave method, followed by enzymatic and dialysis treatments to obtain pure mucilage. The antioxidant activities of the pure and crude mucilage were measured using different assays. Microbial analyses, pH and total titratable acidity (TTA) were measured in kefir samples, supplemented with probiotic bacteria (<em>Lactobacillus acidophilus </em>and <em>Bifidobacterium</em><em> </em><em>lactis</em>) and pure or crude flaxseed mucilage during 28 cold storage periodat 4 ºC. The results showed that for all kefir samples, the total bacteria counts were above7.9 log cfu/mL at the end of cold storage period. However, kefir samples supplemented with pure flaxseed mucilage enhanced significantly (P &lt; 0.05) higher viability of bacteria (9.5 log cfu/mL) and acidity (0.78% TTA). An overall pH decline of 0.2 was observed during cold storage period. The total phenolic content (TPC) in crude mucilage was significantly (P &lt; 0.05) higher than pure mucilage (10.5 ± 0.2 and 5.7 ± 0.1 mg Gallic acid equivalent /g flaxseed, respectively). The mucilage from crude flaxseed exhibited strong antioxidant activity; Oxygen Radical Absorbance Capacity (ORAC) value of 51.2 ± 3.3 ?mol Trolox equivalent /g, 53.7 ± 2.8% discoloration for 2,2-diphenyl-1-picrylhydrazyl (DPPH), and 68.3 ± 9.2% Beta-Carotene bleaching which was well in agreement with high TPC. This study demonstrated that flaxseed mucilage acts as a good source of prebiotic, enhancing lactic acid bacteria growth in kefir model in addition of their high antioxidant beneficiary.</p>
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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) | 0.001 | 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".