Media and process parameters affecting the growth, strain ratios and specific acidifying activities of a mixed lactic starter containing aroma-producing and probiotic strains
Bibliographic record
Abstract
AIMS: The effects of medium-composition and fermentation parameters on the properties of mixed mesophilic starters were studied. The starter was composed of Lactococcus lactis ssp. lactis (L. lactis), Lactococcus lactis ssp. cremoris (L. cremoris), Lactobacillus rhamnosus (Lact. rhamnosus) and Leuconostoc mesenteroides ssp. cremoris (Leuc. cremoris). METHODS AND RESULTS: The media used were reconstituted skim milk (RSM), and whey-based media with either citrate or phosphate buffers. The fermentation parameters were incubation temperature (22 degrees C or 32 degrees C), no pH control, and pH control in pH zones of either pH 6.0-5.8 or pH 6.0-5.2. The starter properties were strain ratio, specific acidifying activity (SAA), total population, residual carbohydrates and organic acids produced. The growth of L. lactis was favoured under pH control in whey-based media. High concentrations of Lact. rhamnosus were favoured in whey-based media prepared at 32 degrees C. The highest contents of Leuc. cremoris were obtained in starters prepared in RSM at 22 degrees C without pH control. Starters prepared under pH control gave the highest populations and made it possible for significantly lower inoculation rates (IR) to be used to carry out subsequent milk fermentations. However, the SAA of starters prepared under pH control were lower than the SAA of starters grown without any pH control. CONCLUSIONS: None of the conditions enabled the strain ratio at inoculation to be maintained. The data show that it is possible to prepare a mesophilic starter that has a significant probiotic Lact. rhamnosus content; this starter could be used in the preparation of probiotic-containing cheeses or in Leuc. cremoris for aroma production in fermented milks. SIGNIFICANCE AND IMPACT OF THE STUDY: This study provides data on what should be expected with respect to strain ratios and IR if cheesemakers decide to shift their aroma-producing starter production method from the traditional 'milk-based without pH control' method to whey-based media used with pH-zone control strategies.
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How this classification was reachedexpand
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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".