电化学分析生物流体中的代谢动力学
Jianwu Wang1,2, Huarong Xia2, Chenyan Huang3
1Institute for Digital Molecular Analytics and Science (IDMxS), Nanyang Technological University, 59 Nanyang Drive, Singapore 636921, Singapore.
Journal of the American Chemical Society
|February 19, 2026
概括
我们开发了一种电化学 (EC-omics) 方法,用于使用生物流体分析进行疾病诊断. 这种方法可以准确地从唾液中检测牙周炎,优于传统的生物标志物分析.
科学领域:
- 电化学 电化学 电化学
- 生物分子分析.
- 诊断技术 诊断技术 诊断技术
背景情况:
- 传统的电化学传感依赖于预定义的生物标志物,面临生物流体复杂性和校准偏差的挑战.
- 生物流体界面的重要电化学信息仍未用于全面的代谢分析.
研究的目的:
- 引入一种电化学 (EC-omics) 方法,用于在疾病发病期间对生物流体中的生物分子动力学进行全面的分析.
- 开发和验证一个便携式的电化学平台,用于无偏的生物流体分析.
主要方法:
- 定制了一个便携式的电化学分析平台,使用碳纳米管/细菌纤维素 (CNT/BC) 电极来实现高灵敏度和低噪音.
- 应用EC-omics平台来分析牙周炎诊断的唾液,创建了一个EC-omics数据库.
- 集成智能算法与EC-omics数据进行疾病歧视.
主要成果:
- EC-omics平台在唾液样本中准确地区分了牙周炎,准确率为93%.
- 这一表现超过了非定向核磁共振 (89%) 和传统牙周炎生物标志物 (70%).
- 在人类尿液和小鼠血清中证明了EC-omics的可行性,表明其广泛适用性.
结论:
- EC-omics提供了一种整体而公正的方法来分析生物流体的电化学特性,用于疾病诊断.
- 开发的平台显示了扩大对代谢网络的理解和开发新型去中心化医疗诊断工具的巨大潜力.
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