最大限度地提高分析精度:探索荧光,拉曼,电化学和质谱检测的比例策略的优势

Manivannan Madhu, S. Santhoshkumar, Wei-Bin Tseng, Wei-Lung Tseng
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引用次数: 0

摘要

比率策略是一种宝贵的方法,有助于检测和量化分析。这种方法依靠测量两个或多个信号之比的变化来提高结果的准确性和灵敏度。比率计量策略广泛应用于生物医学、环境监测和食品安全等领域。在传统的基于单信号的检测方法不可行的情况下,特别是在干扰物质严重影响检测的情况下,它尤其受到欢迎。此外,比率法有可能提高分析物检测的准确性和可靠性,在各种复杂环境中获得更好的结果。本文提供了一个全面的回顾比率策略,重点是比率荧光纳米探针的视觉检测分析。本文还讨论了用于生物医学成像的比例双光子荧光探针的设计,用于细胞内分析物成像的比例表面增强拉曼散射纳米探针的合成,用于检测电活性物质的比例分子印迹电化学传感器的开发,以及在基质辅助激光解吸/电离中使用同位素标记的内标进行比例分析。本文不仅详细讨论了每种技术,包括其原理、优点、潜在应用和局限性,而且还强调了每种方法的最新进展和可能的未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximizing analytical precision: exploring the advantages of ratiometric strategy in fluorescence, Raman, electrochemical, and mass spectrometry detection
Ratiometric strategy are an invaluable method that helps to detect and quantify analytes. This approach relies on measuring changes in the ratio of two or more signals to improve the accuracy and sensitivity of the results. Ratiometric strategies are widely used in a variety of fields including biomedical, environmental monitoring and food safety. It is particularly popular when traditional single-signal based detection methods are not feasible, especially when interfering substances severely affect the detection. In addition, ratiometric methods have the potential to improve the accuracy and reliability of analyte detection, leading to better results in a variety of complex environments. The article provides a comprehensive review of ratiometric strategy, focusing on ratiometric fluorescent nanoprobes for the visual detection of analytes. This paper also discusses the design of ratiometric two-photon fluorescent probes for biomedical imaging, the synthesis of ratiometric surface-enhanced Raman scattering nanoprobes for the imaging of intracellular analytes, the development of ratiometric molecularly imprinted electrochemical sensors for detection of electroactive species, and the use of isotopically-labeled internal standards in matrix-assisted laser desorption/ionization for ratiometric analysis. The article not only discusses each technique in detail, including its principles, advantages, potential applications, and limitations, but also highlights recent advances in each method and possible future directions.
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