生物相容的丝纳米纤维具有优良的抗微生物和保存特性,通过e-多聚氨酸接种来实现
Leiting Xin1, Zhiyuan Hu1, Ying Mao1
1State Key Laboratory of Bio-based Fiber Materials, Zhejiang Sci-Tech University, Hangzhou 310018, China; Zhejiang Provincial Innovation Center of Advanced Textile Technology, Shaoxing 312000, China.
Food chemistry
|February 1, 2026
概括
研究人员通过将丝纳米纤维 (SNF) 与聚氨酸 (EPL) 结合起来,创造了一种新的抗菌材料. 这种新材料对常见和耐药细菌表现出强烈的抗菌活性,为食品保存提供了一个有希望的替代方案.
科学领域:
- 生物材料科学 生物材料科学
- 纳米技术纳米技术
- 食品科学 食品科学 食品科学
背景情况:
- 抗菌素耐药性是一个日益严重的全球健康问题.
- 迫切需要新的非抗生素抗微生物策略.
- 丝纳米纤维 (SNF) 为材料开发提供了一个多功能平台.
研究的目的:
- 通过在丝纳米纤维 (SNF) 上移植 ε-多聚氨酸 (EPL) 来开发一种非抗生素抗微生物材料.
- 描述由EPL移植的SNF (ESNF) 的结构和化学特性.
- 评估ESNF的抗菌疗效和食品保存潜力.
主要方法:
- 在丝纳米纤维 (SNF) 上移植 ε-多聚氨酸 (EPL).
- 使用诸如测量泽塔电位等技术,对EPL移植的SNF (ESNF) 进行表征.
- 对黄金葡萄球菌 (S. aureus),大肠杆菌 (E. coli) 和MRSA的抗菌活性的评估.
- 评估ESNF在保存剥皮长条的有效性.
主要成果:
- ESNF 保持了 SNF 的纳米纤维结构,直径均 (<100 nm).
- 通过增加的泽塔潜力证实了EPL在SNF上的成功移植.
- 在ESNF的研究中,ESNF对S. aureus,大肠杆菌和MRSA进行了90%以上的抑制.
- 在长年中,ESNF显著减缓了衰变,减少了体重减轻,并延迟了酸的增加.
结论:
- 以EPL移植的SNF (ESNF) 是一种新型的非抗生素抗微生物材料.
- ESNF 具有广泛的抗菌活性和良好的生物相容性.
- ESNF显示了延长易腐食品的保质期的巨大潜力,例如长.
相关概念视频
Microsoft Excel: Plotting Mean, SD, and SE
1.2K
In Microsoft Excel, plotting the mean along with standard deviation (SD) and standard error (SE) helps visualize data variability and reliability. To plot these values, follow these steps:
First, calculate the mean, SD, and SE of your data. The mean is obtained using the formula `=AVERAGE(range)`, while SD can be calculated with `=STDEV.P(range)` for a population or `=STDEV.S(range)` for a sample. SE is calculated as `=SD/SQRT(n)`, where `n` is the sample size.
To plot these values, use a bar...
First, calculate the mean, SD, and SE of your data. The mean is obtained using the formula `=AVERAGE(range)`, while SD can be calculated with `=STDEV.P(range)` for a population or `=STDEV.S(range)` for a sample. SE is calculated as `=SD/SQRT(n)`, where `n` is the sample size.
To plot these values, use a bar...
1.2K
Microsoft Excel: Student's t-Test
1.7K
Student's t-test in Microsoft Excel is a statistical method used to compare the means of two groups to determine if they are significantly different from each other. It's commonly used to evaluate hypotheses, such as testing whether a treatment has an effect compared to a control group. Excel provides built-in functions to perform t-tests, making it accessible for users needing to conduct basic statistical analysis.
To conduct a t-test in Excel, use the T.TEST function or the "Data...
To conduct a t-test in Excel, use the T.TEST function or the "Data...
1.7K
Antimicrobial Effectiveness
994
The effectiveness of antimicrobial agents depends on various factors influencing their ability to eliminate microbial populations. Larger microbial populations require more time for complete eradication, emphasizing the importance of population size analysis when evaluating antimicrobial efficacy.Microbial resistance to antimicrobial agents varies significantly. Highly resilient microorganisms include endospores, gram-negative bacteria, and non-enveloped viruses, while prions are exceptionally...
994
Microsoft Excel: Pearson's Correlation
2.1K
Microsoft Excel is a powerful tool for statistical analysis, including calculating Pearson's correlation coefficient, which measures the strength and direction of a linear relationship between two continuous variables. Pearson's correlation coefficient, often denoted as "r," ranges from -1 to 1. A value close to 1 indicates a strong positive correlation, meaning as one variable increases, the other does too. A value close to -1 indicates a strong negative correlation, implying...
2.1K
Microsoft Excel: Regression Analysis
1.6K
Regression analysis in Microsoft Excel is a powerful statistical method for examining the relationship between a dependent variable and one or more independent variables. It's used extensively in fields such as economics, biology, and business to predict outcomes, understand relationships, and make data-driven decisions. The most common type is linear regression, which attempts to fit a straight line through the data points to model the relationship between variables.
To perform regression...
To perform regression...
1.6K
Antimicrobial Proteins
14.3K
Antimicrobial proteins are important components of the immune system. They aid the body in combating pathogens by either killing them directly or hindering their replication processes. Four main types of antimicrobial substances are interferons, the complement system, iron-binding proteins, and antimicrobial proteins.
Interferons
Interferons (IFNs) are proteins produced by lymphocytes, macrophages, and fibroblasts infected with viruses. While IFNs cannot prevent viruses from entering and...
Interferons
Interferons (IFNs) are proteins produced by lymphocytes, macrophages, and fibroblasts infected with viruses. While IFNs cannot prevent viruses from entering and...
14.3K


