血液来源介质中蛋白质测量的生物传感解决方案:综述

IF 5.2 2区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Krzysztof Bartnik , Monika Janik , Marcin Koba , Tomasz Rygiel , Paulina Musolf , Mateusz Śmietana
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引用次数: 0

摘要

在血液和血液来源的介质(如血浆和血清)中进行有效的生物传感对分子诊断至关重要。然而,血液成分的复杂性使得分析物的选择性测量极具挑战性,因为这些介质含有各种细胞、蛋白质、糖和脂质,它们以不同的方式与传感器表面相互作用。这篇综述强调了在血液来源介质中生物传感的挑战和进展,重点是克服干扰选择性测量的非特异性相互作用。我们特别关注蛋白质检测,因为蛋白质是疾病存在、进展和治疗反应的关键指标。首先,我们讨论血液的成分及其与传感器表面的相互作用。本文回顾了现有的蛋白质检测方法,如ELISA, western blot和质谱法,以及提高选择性和减少非特异性结合的策略。我们还探索了无标签生物传感器,它可以实现小型化、实时监测,但容易受到干扰。最后,我们讨论了未来的发展方向,强调在临床环境中改进实时诊断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Biosensing solutions for protein measurement in blood-derived media: a review
Efficient biosensing in blood and blood-derived media, such as plasma and serum, is crucial for molecular diagnostics. However, the complexity of blood components makes the selective measurement of analytes highly challenging, as these media contain various cells, proteins, saccharides, and lipids that interact with sensor surfaces in different ways. This review highlights the challenges and advances in biosensing within blood-derived media, with a focus on overcoming nonspecific interactions that interfere with selective measurements. We specifically address protein detection, as proteins are key indicators of disease presence, progression, and treatment response. First, we discuss blood’s composition and its interaction with sensor surfaces. Established protein detection methods like ELISA, western blot, and mass spectrometry are reviewed alongside strategies for enhancing selectivity and reducing nonspecific binding. We also explore label-free biosensors, which enable miniaturized, real-time monitoring but are vulnerable to interference. Finally, we discussed future directions, emphasizing improved real-time diagnostics in clinical settings.
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来源期刊
Measurement
Measurement 工程技术-工程:综合
CiteScore
10.20
自引率
12.50%
发文量
1589
审稿时长
12.1 months
期刊介绍: Contributions are invited on novel achievements in all fields of measurement and instrumentation science and technology. Authors are encouraged to submit novel material, whose ultimate goal is an advancement in the state of the art of: measurement and metrology fundamentals, sensors, measurement instruments, measurement and estimation techniques, measurement data processing and fusion algorithms, evaluation procedures and methodologies for plants and industrial processes, performance analysis of systems, processes and algorithms, mathematical models for measurement-oriented purposes, distributed measurement systems in a connected world.
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