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基于纳米传感器的肝素定量检测方法。

Nanosensor based approaches for quantitative detection of heparin.

机构信息

Centre for Nanotechnology, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India.

Department of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, 247667, Uttarakhand, India.

出版信息

Talanta. 2024 Jun 1;273:125873. doi: 10.1016/j.talanta.2024.125873. Epub 2024 Mar 4.

Abstract

Heparin, being a widely employed anticoagulant in numerus clinical complications, requires strict quantification and qualitative screening to ensure the safety of patients from potential threat of thrombocytopenia. However, the intricacy of heparin's chemical structures and low abundance hinders the precise monitoring of its level and quality in clinical settings. Conventional laboratory assays have limitations in sensitivity and specificity, necessitating the development of innovative approaches. In this context, nanosensors emerged as a promising solution due to enhanced sensitivity, selectivity, and ability to detect heparin even at low concentrations. This review delves into a range of sensing approaches including colorimetric, fluorometric, surface-enhanced Raman spectroscopy, and electrochemical techniques using different types of nanomaterials, thus providing insights of its principles, capabilities, and limitations. Moreover, integration of smart-phone with nanosensors for point of care diagnostics has also been explored. Additionally, recent advances in nanopore technologies, artificial intelligence (AI) and machine learning (ML) have been discussed offering specificity against contaminants present in heparin to ensure its quality. By consolidating current knowledge and highlighting the potential of nanosensors, this review aims to contribute to the advancement of efficient, reliable, and economical heparin detection methods providing improved patient care.

摘要

肝素作为一种广泛应用于多种临床并发症的抗凝剂,需要严格的定量和定性筛选,以确保患者免受潜在血小板减少症威胁的安全。然而,肝素化学结构的复杂性和低丰度阻碍了其在临床环境中水平和质量的精确监测。传统的实验室检测方法在灵敏度和特异性方面存在局限性,因此需要开发创新方法。在这种情况下,纳米传感器由于其灵敏度、选择性的提高,以及即使在低浓度下也能检测肝素的能力,成为一种很有前途的解决方案。本综述深入探讨了一系列传感方法,包括比色法、荧光法、表面增强拉曼光谱法和电化学技术,使用了不同类型的纳米材料,从而提供了其原理、能力和局限性的见解。此外,还探讨了将纳米传感器与智能手机集成用于即时诊断的方法。此外,还讨论了纳米孔技术、人工智能 (AI) 和机器学习 (ML) 的最新进展,这些进展提供了针对肝素中存在的污染物的特异性,以确保其质量。通过整合现有知识并强调纳米传感器的潜力,本综述旨在为开发高效、可靠和经济的肝素检测方法做出贡献,从而改善患者的护理。

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