Application of Spectrogel clay as a support for immobilization of lipase from <scp> <i>Burkholderia cepacia</i> </scp>
Bibliographic record
Abstract
Abstract The interest in maximizing the production of ethyl esters in a sustainable way and with lower energy costs has increased the use of immobilized enzymes as catalysts. This study aimed to apply the commercial clay Spectrogel® as a support for the immobilization of lipase from Burkholderia cepacia by adsorption and covalent bonding methods. The immobilizations were carried out using a 2 3 factorial design to study the effects of the activity offered (U g −1 ), pH, and the molar concentration of the enzyme solution buffer (mol L −1 ) on the enzyme activity obtained (U g −1 ). From the statistical analysis of the results, the best conditions for immobilization were pH 7.0 and 0.1 mol L −1 for both tested immobilization methods, with the best offered activity being 5709 and 7600 U g −1 . The activities obtained were 1219.81 ± 7.51 and 1274.89 ± 14.99 U g −1 for adsorption and covalent bonding, respectively. The biocatalysts exhibited protein leaching of 33.55 ± 1.08% and 19.44 ± 2.43% when immobilized by adsorption and covalent bonding, respectively. The optimal activity temperature and thermal stability were obtained at 40°C. Additionally, the immobilization of lipase in Spectrogel® by both methods was efficient, showing higher thermal stability than the free enzyme. Thus, this work contributed scientifically to the development of a new and economical biocatalyst for ethyl ester production.
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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 | 0.000 | 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 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".