病原体检测的进展:从传统方法到纳米技术、生物传感和人工智能集成。

IF 8.2
Jing Xu, Muhammad Akhtar, Wei Meng, Jinming Bai, Sharon Prince, Rongqin Huang
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引用次数: 0

摘要

病原微生物的快速准确检测对传染病的成功诊断、管理和控制起着至关重要的作用。在这篇综述文章中,我们系统地研究了鉴定致病微生物方法的最新技术进展。这些方法可分为六个主要方法:传统的基于培养的技术、免疫学分析、分子生物学方法、代谢谱分析、光谱技术和新兴的纳米技术驱动的创新。此外,本文还对这些技术进行了比较评估,阐明了它们的潜在机制、优势、劣势以及在现实世界中的实际应用。本文还讨论了人工智能(AI)技术的集成,为下一代病原体监测铺平了道路。根据前面的分析,这篇综述强调了尖端技术的发展,可以促进更有效、精确和广泛可用的方法来鉴定病原微生物。本文分类如下:诊断工具>生物传感诊断工具>体外基于纳米颗粒的传感。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advances in Pathogen Detection: From Traditional Methods to Nanotechnology, Biosensing and AI Integration.

The rapid and precise detection of pathogenic microbes plays a critical role in the successful diagnosis, management, and containment of infectious diseases. In this review article, we systematically examine the latest technological progress in methodologies for identifying disease-causing microorganisms. These methods are categorized into six major approaches: traditional culture-based techniques, immunological assays, molecular biological methods, metabolic profiling, spectroscopic technologies, and emerging nanotechnology-driven innovations. Moreover, this review offers a comparative assessment of these techniques, shedding light on their underlying mechanisms, strengths, weaknesses, and practical applications in real-world scenarios. This review also discusses the integration of artificial intelligence (AI)-based techniques, paving the way for next-generation pathogen surveillance. In light of the preceding analysis, this review highlights cutting-edge technological developments that could facilitate more efficient, precise, and widely available methods for identifying pathogenic microorganisms. This article is categorized under: Diagnostic Tools > Biosensing Diagnostic Tools > In Vitro Nanoparticle-Based Sensing.

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CiteScore
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