Advancing cancer diagnosis through surface plasmon resonance detection of extracellular vesicles

IF 11.8 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry Pub Date : 2025-05-12 DOI:10.1016/j.trac.2025.118298

Ziyang Zhou, Qiaoqiao Tang, Bo Yao, Guangzhong Ma

引用次数: 0

Abstract

Cancer remains a leading cause of death worldwide, making early diagnosis and continuous monitoring essential for improving patient survival rates. Extracellular vesicles (EVs) are nanoscale particles secreted by cells, carrying biomolecules such as proteins and nucleic acids that reflect the physiological state of their cells of origin. Due to their specificity and presence in bodily fluids, EVs have emerged as valuable biomarkers for cancer diagnosis. Surface plasmon resonance (SPR)-based biosensors offer a label-free, real-time, and highly sensitive platform for measuring biomarkers, positioning them as promising tools for early cancer detection, treatment monitoring, and prognosis assessment. This review discusses the development and design strategies of SPR-based biosensors, particular for EV detection, and explores the potential role of artificial intelligence (AI) in enhancing their performance.

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通过细胞外囊泡表面等离子体共振检测推进癌症诊断

癌症仍然是世界范围内死亡的主要原因，因此早期诊断和持续监测对于提高患者存活率至关重要。细胞外囊泡（EVs）是由细胞分泌的纳米级颗粒，携带生物分子，如蛋白质和核酸，反映其起源细胞的生理状态。由于它们的特异性和在体液中的存在，电动汽车已经成为癌症诊断的有价值的生物标志物。基于表面等离子体共振（SPR）的生物传感器为测量生物标志物提供了无标签、实时、高灵敏度的平台，将其定位为早期癌症检测、治疗监测和预后评估的有前途的工具。本文讨论了基于spr的生物传感器的开发和设计策略，特别是用于EV检测，并探讨了人工智能（AI）在提高其性能方面的潜在作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Trends in Analytical Chemistry 化学-分析化学

CiteScore

20.00

自引率

4.60%

发文量

257

审稿时长

3.4 months

期刊介绍： TrAC publishes succinct and critical overviews of recent advancements in analytical chemistry, designed to assist analytical chemists and other users of analytical techniques. These reviews offer excellent, up-to-date, and timely coverage of various topics within analytical chemistry. Encompassing areas such as analytical instrumentation, biomedical analysis, biomolecular analysis, biosensors, chemical analysis, chemometrics, clinical chemistry, drug discovery, environmental analysis and monitoring, food analysis, forensic science, laboratory automation, materials science, metabolomics, pesticide-residue analysis, pharmaceutical analysis, proteomics, surface science, and water analysis and monitoring, these critical reviews provide comprehensive insights for practitioners in the field.