用histidine设计的Cu-BTC纳米酶具有增强的乳糖酶类活性,结合机器学习来精确识别β-乳糖抗生素
Jiahao Xu1, Zemin Ren1, Yu Wang1
1Tianjin Key Laboratory of Industrial Microbiology, College of Biotechnology, Tianjin University of Science and Technology, No.29 of 13th Street, TEDA, Tianjin, 300457, PR China.
Biosensors & bioelectronics
|May 4, 2025
概括
高活性纳米酶传感器阵列现在可以识别Beta-lactam抗生素 (BL). 这种新方法使用机器学习提高了复杂样本中BLs的检测精度.
科学领域:
- 材料科学 材料科学 材料科学
- 分析化学 分析化学
- 生物技术是生物技术.
背景情况:
- 纳米酶传感器阵列提供多分析剂检测,但由于有限的纳米酶催化活性,它们对β-乳糖抗生素 (BLs) 未得到充分利用.
- 开发高活性纳米酶对于提高纳米酶传感器阵列在实际应用中的性能至关重要.
研究的目的:
- 开发高活性纳米酶,以改善BLs检测.
- 构建一个纳米酶传感器阵列,以根据反应动力学区分多个BL.
- 通过机器学习算法提高BLs度检测的准确性.
主要方法:
- 合成了Cu-BTC@His纳米酶,通过结合histidine,增强了类似laccase (LAC) 的催化活性.
- 利用BLs对Cu-BTC@他的LAC活性的抑制作用,将抑制与反应时间相关联.
- 构建了一个三通道纳米酶传感器阵列,并应用机器学习进行数据分析和模型优化.
主要成果:
- 它的纳米酶表现出高的LAC催化活性.
- 传感器阵列成功地根据动力抑制模式区分了九种不同的BL.
- 优化的机器学习模型显著提高了BLs度检测的准确性,从31.27%提高到95.92%.
结论:
- 开发的Cu-BTC@His纳米酶传感器阵列有效地识别和量化复杂样本中的BLs.
- 这项工作突出了高度活跃的纳米酶和动态分析用于BLs检测的潜力.
- 这些发现为设计基于纳米酶的先进传感器和改进BLs监测提供了宝贵的参考.
相关概念视频
01:30Production of Pharmaceuticals
Industrial insulin production uses genetically engineered E. coli expressing a proinsulin gene controlled by a tryptophan promoter and containing a methionine linker for later cleavage. The cells also carry ampicillin resistance for selective growth. Seed cultures are stored at −80 °C and production begins by thawing a small amount to inoculate starter cultures, which are progressively scaled to a 50,000-L bioreactor. In the bioreactor, E. coli grow in nutrient-rich media under sterile, tightly...
01:24iChip
The cultivation of environmental microorganisms has long been hindered by the inability to replicate complex native conditions in vitro. The isolation chip (iChip) addresses this limitation by facilitating the growth of previously uncultivable microorganisms through in situ incubation. Designed for high-throughput microbial cultivation, the iChip comprises hundreds of microchambers, each capable of housing a single microbial cell. These microchambers are loaded with a mixture of molten agar and...