Isolation and screening of Weissella strains for their potential use as starter during attiéké production
Bibliographic record
Abstract
Description of the subject. Variability observed in sensory characteristics of “attiéké” results from an uncontrolled fermentation process due to the use of artisanal starters. Objectives. This study aims to screen microbial strains for their use during fermentation of cassava dough into attieké. Method. Technological properties of three lactic acid bacteria (LAB) isolated from artisanal starters were highlighted in vitro, and these LAB were identified as either Weissella cibaria or Weissella confusa by Matrix Assisted Laser Desorption Ionisation-Mass Spectrometry (MALDI-TOF MS). Results. The three Weissella isolates Wc 69, Wc 21 and Wc 114 induced in less than 42 h a decrease below 4.2 (main food safety factor) of the initial pH of MRS (de Man, Rogosa and Sharpe) broth. These strains are osmotolerant, present alpha-amylase activity and ferment the indigestible sugar raffinose. Moreover isolates Wc 114 and Wc 69 are thermotolerant, while Wc 114 presents a pectinase activity necessary for cassava dough softening. Conclusions. Considering their technological properties, the three isolated Weissella strains could be suitable in optimizing and standardizing the quality of attieké.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".