Microfluidic surface-enhanced Raman spectroscopy aided by artificial intelligence for biosensing

IF 12 1区化学 Q1 CHEMISTRY, ANALYTICAL

Trends in Analytical Chemistry Pub Date : 2025-09-13 DOI:10.1016/j.trac.2025.118426

Muhammad Sohail Ibrahim , Myeong-Seok Lee , Sejin Park , Abdul Naman , Dongho Lee , Yunsang Kwak , Minseok Kim

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引用次数: 0

Abstract

The integration of microfluidics, surface-enhanced Raman spectroscopy (SERS), and artificial intelligence (AI) is revolutionizing chemical and biomedical sensing. Microfluidic systems enable precise fluid control at the microscale, while SERS offers ultrasensitive, label-free molecular detection. Combining AI with microfluidic SERS enhances data processing, feature extraction, and automated decision-making, enabling efficient and intelligent diagnostics and analysis. This review highlights recent advances in AI-driven microfluidic SERS for biomedical detection and analysis, environmental monitoring, and chemical analysis. Key developments include improved detection accuracy, real-time classification, and high-throughput analysis. However, challenges such as data interpretability, computational complexity, and seamless integration must be addressed. Future research directions call for explainable AI, lightweight machine learning models, and privacy-preserving techniques to support broader adoption and safeguard sensitive information. By leveraging these technologies, researchers can develop innovative platforms for real-time sensing and analysis, ultimately advancing applications across healthcare, environmental science, and other interdisciplinary domains.

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人工智能辅助微流控表面增强拉曼光谱用于生物传感

微流体、表面增强拉曼光谱（SERS）和人工智能（AI）的集成正在彻底改变化学和生物医学传感。微流体系统能够在微尺度上精确控制流体，而SERS提供超灵敏，无标记的分子检测。将人工智能与微流控SERS相结合，增强了数据处理、特征提取和自动化决策，实现了高效智能的诊断和分析。本文综述了人工智能驱动的微流体SERS在生物医学检测和分析、环境监测和化学分析方面的最新进展。关键的发展包括提高检测精度、实时分类和高通量分析。但是，必须解决数据可解释性、计算复杂性和无缝集成等挑战。未来的研究方向需要可解释的人工智能、轻量级机器学习模型和隐私保护技术，以支持更广泛的采用和保护敏感信息。通过利用这些技术，研究人员可以开发用于实时传感和分析的创新平台，最终推进医疗保健、环境科学和其他跨学科领域的应用。

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.