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基于规格变化的度感应传感器用于敏感的检测 (II) 在水果和蔬菜中的检测
Jiangxiong Zhu1,2, Hao Yin1,2, Yang Wang1
1Department of Food Science & Technology, School of Agriculture and Biology, Shanghai Jiao Tong University, 800 Dongchuan Road, Minhang District, Shanghai 200240, China. y_deng@sjtu.edu.cn.
Analytical methods : advancing methods and applications
|August 15, 2024
概括
一个新的食感传感器使用SYBR Green I光检测食品中的有毒 (Cd2+). 这种方法提供了快速,灵敏和特定的检测,对于食品安全至关重要.
科学领域:
- 环境化学环境化学
- 分析化学 分析化学
- 生物技术是生物技术.
背景情况:
- (Cd2+) 是一种有毒的重金属,由于在人体中积累,它对健康构成重大风险.
- 污染的食物和水是暴露的主要来源.
- 对食品中的敏感和快速检测方法对于公共卫生至关重要.
研究的目的:
- 开发一种无标签的光口味传感器,用于快速和灵敏地检测食品样本中的 (Cd2+).
- 为了利用SYBR Green I (SGI) 和一个特定的DNA吸收器来感知.
- 建立一个有效的方法来评估食品中的污染.
主要方法:
- 一个光吸收传感器的设计,采用一种Cd2+特异的吸收体 (Cd-21) 和它的补充链 (CS-21).
- 使用SYBR绿色I (SGI) 染料,该染料在与双链DNA (dsDNA) 结合时产生光.
- 监测光强度的变化,以应对不同的Cd2+度.
主要成果:
- 胃感应器对Cd2+显示了从0.11到157.37 ng mL-1的线性反应.
- 实现了0.07 ng mL-1的低检测极限 (LOD).
- 胃感应器在真实食品样本 (水果和蔬菜) 中表现出高特异性和成功应用,回收率为95-111%.
结论:
- 开发的食感传感器为快速和灵敏地检测食品中的提供了一个有前途的工具.
- 该方法提供了一种可靠的方法,用于监测食品安全评估中的污染.
- 基于光的无标签检测在食品分析中的实际应用中是有利的.
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