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推进食品安全与质量评估:无损分析技术的全面综述

Advancing food safety and quality assessment: a comprehensive review of non-destructive analytical technologies.

作者信息

Feng Yuerong, Zhang Xinai, Liu Jiaqian, Yuan Zhecong, Gao Shujie, Shi Jiyong

机构信息

School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, P. R. China.

出版信息

Anal Methods. 2025 Jun 12;17(23):4697-4717. doi: 10.1039/d5ay00647c.

DOI:10.1039/d5ay00647c
PMID:40459161
Abstract

Non-destructive analytical technologies have emerged as transformative tools for advancing food safety and quality assessment, addressing critical challenges posed by chemical contaminants, microbial pathogens, and adulterants in global food supply chains. This review critically evaluates five advanced technologies-hyperspectral imaging (HSI), electrochemical sensing, infrared spectroscopy, surface-enhanced Raman scattering (SERS), and fluorescence sensing-highlighting their operational principles, validation milestones, and applications across diverse food matrices. Despite remarkable progress, several methodological gaps remain, including signal instability in heterogeneous samples, limited algorithm generalizability, and the lack of standardized validation protocols. Furthermore, real-time field deployment faces challenges such as sensor miniaturization, environmental robustness, and cost constraints. Emerging hybrid platforms such as HSI-SERS and electrochemical-fluorescence systems demonstrate promising synergistic advantages, offering enhanced specificity and multiplexing capabilities. Future directions emphasize integration of AI-driven analytics, IoT-enabled portable devices, and novel functional materials to address existing limitations. By bridging technological innovation with regulatory needs, this review underscores the potential of non-destructive technologies to build scalable, sustainable food safety solutions.

摘要

无损分析技术已成为推动食品安全和质量评估的变革性工具,可应对全球食品供应链中化学污染物、微生物病原体和掺假物带来的严峻挑战。本综述批判性地评估了五种先进技术——高光谱成像(HSI)、电化学传感、红外光谱、表面增强拉曼散射(SERS)和荧光传感——突出了它们的工作原理、验证里程碑以及在各种食品基质中的应用。尽管取得了显著进展,但仍存在一些方法学上的差距,包括异质样品中的信号不稳定、算法通用性有限以及缺乏标准化的验证协议。此外,实时现场部署面临着传感器小型化、环境适应性和成本限制等挑战。新兴的混合平台,如HSI-SERS和电化学-荧光系统,展现出了有前景的协同优势,提供了更高的特异性和多重检测能力。未来的发展方向强调整合人工智能驱动的分析、物联网支持的便携式设备和新型功能材料,以解决现有局限性。通过将技术创新与监管需求相结合,本综述强调了无损技术构建可扩展、可持续食品安全解决方案的潜力。

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