一个具有双酶和双模式的新型四通道传感器阵列,用于评估食品中的总抗氧化剂能力
Xiang Li1, Xiaoqiao Yang1, Jun Wu1
1College of Chemistry and Chemical Engineering Guangling College, Yangzhou University, Yangzhou 225002, P. R. China.
ACS sensors
|April 3, 2025
概括
使用双酶纳米颗粒的新型传感器阵列检测食品中的总抗氧化能力 (TAC). 这种方法准确地识别和量化抗氧化剂,为食品质量评估提供了一个有前途的工具.
科学领域:
- 分析化学 分析化学
- 材料科学 材料科学 材料科学
- 食品科学 食品科学 食品科学
背景情况:
- 反应性氧物种 (ROS) 导致细胞损伤,使抗氧化剂对健康至关重要.
- 总抗氧化能力 (TAC) 是食品的关键质量指标.
- 现有的TAC评估方法可能缺乏敏感性或特异性.
研究的目的:
- 开发一个新的,高度敏感的传感器阵列平台来检测TAC.
- 为了利用工程纳米颗粒的双酶类活性用于ROS检测.
- 应用模式识别来区分和量化食品中的抗氧化剂.
主要方法:
- 用铁和编的碳量子点 (Fe,N-CQDs@MSNs) 装载的半孔二氧化纳米粒子的制造.
- 利用Fe,N-CQDs@MSN的双催化活性 (类似氧化酶和光反应) 来产生ROS.
- 采用四通道传感器阵列,使用TMB作为基板和多变量统计分析 (PCA,HCA) 来进行数据解释.
主要成果:
- Fe,N-CQDs@MSNs表现出双重类似酶的活动,产生氧化TMB的ROS.
- 抗氧化剂 (AA,GSH,Cys,DA) 通过清除ROS产生了明显的UV-Vis和光"指纹".
- 传感器阵列达到1μM的检测极限,并成功量化了食品样本中的单个和混合抗氧化剂.
结论:
- 开发的双模式传感器阵列为TAC确定提供了灵敏和选择性的方法.
- 使用Fe,N-CQDs@MSNs与模式识别相结合,为复杂的样本分析提供了一个强大的平台.
- 这项技术显示出常规质量控制和食品中抗氧化剂含量评估的巨大潜力.
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