Citric acid vapor-assisted crosslinking of zein/PEG composite nanofiber membrane embedded with nisin by electrospinning for the cooled goose meat preservation
Bibliographic record
Abstract
This study demonstrated the fabrication of zein/polyethylene glycol/nisin (zein/PEG/nisin) nanofiber membrane and cross-linked by citric acid vapor (zein/PEG/nisin/C). The distribution within the whole nanofiber membranes was monitored by scanning electron microscopy (SEM). Studies using thermogravimetric analysis (TGA) and Fourier transform infrared spectroscopy (FTIR) validated the effectiveness nisin encapsulation and molecular interactions. The water vapor permeability (WVP) and oxygen permeability (OP) of zein/PEG/nisin/C are 150.47 ± 7.14 (g m −2 24h) and 59.74 ± 3.10 (cm3 m −2 24h), respectively. Antibacterial experiments have shown that the antibacterial effect of zein/PEG/nisin/C on Escherichia coli ( E. coli ) and Staphylococcus aureus ( S. aureus ) and the diameters of the bacteriostatic circle were 11.52 ± 0.44 mm and 10.67 ± 0.46 mm, respectively. During 10 days of the storage of the cooled fresh goose meat, compared with the control group, the pH of zein/PEG/nisin/C nanofiber membrane was 5.7, the concentration of the total volatile basic nitrogen (TVB-N) and the value of total viable count (TVC) and thiobarbituric acids (TBARS) are 11.28 mg/100g, 5.01 ± 0.69 log (CFU g −1 ), and 0.83 mg kg −1 , respectively. These results point to the possibility of using functionalized nanofiber membranes for the cold fresh goose meat preservation facilitated by vaporized citric acid cross-linking. This study demonstrated the fabrication of zein/polyethylene glycol/nisin (zein/PEG/nisin) nanofiber membrane and cross-linked by citric acid vapor (zein/PEG/nisin/C) and illustration of goose breast preservation. • The zein/polyethylene glycol (PEG) composite nanofiber membrane embedded with nisin were prepared. • The non-toxic citric acid used as cross-linking agent to modify the performance of zein/PEG membrane. • The zein/PEG/nisin/C membrane was effective for S. aureus and E. coli. • The zein/PEG/nisin/C membrane extended the shelf life of the cooled fresh goose meat.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.009 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 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".