食品安全中的新兴技术:基于人工智能、纳米技术和生物传感器的快速污染物检测策略

IF 3 3区 农林科学 Q2 FOOD SCIENCE & TECHNOLOGY
Shikha Pandhi, Nilima Kumari, Amit Jain, Vinay Sharma
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引用次数: 0

摘要

食品安全至关重要,但传统的检测技术既缓慢又无效。人工智能(AI)、纳米技术和生物传感器等新技术可以快速、准确、实时地识别污染物。基于人工智能的机器学习改进了食品分析,增强了成像方法,并结合了物联网和区块链进行跟踪。纳米技术允许使用基于纳米粒子的传感器和纳米酶进行超灵敏的检测。生物传感器使用基于酶、免疫传感器和基于DNA/适配体的技术提供毒素、病原体和污染物的特定检测。下一代电化学、光学和纸质生物传感器增加了实际应用。人工智能传感纳米传感器和基于物联网的智能包装等混合概念具有智能、自动化的响应。扩大规模、监管、可负担性和可持续性等挑战是广泛采用的限制因素。它们可以通过合作、政策结构和公众敏感来克服。本文旨在探讨食品安全技术的最新进展,重点关注人工智能、纳米技术和基于生物传感器的快速污染物检测策略。它研究了人工智能、纳米技术和生物传感器如何通过实时、灵敏和准确地检测微生物病原体、化学残留物、过敏原和其他污染物来改变食品安全。此外,它还分析了不同食品基质的最新创新和有效性,同时解决了监管问题、整合障碍和技术限制等挑战。通过对这些新兴方法进行全面评估,本综述强调了它们在加强食品安全监测、确保改善消费者保护和法规遵从方面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emerging Technologies in Food Safety: AI-Powered, Nano-enabled, and Biosensor-Based Strategies for Rapid Contaminant Detection

Food safety is essential, but conventional detection techniques are slow and ineffective. New technologies such as artificial intelligence (AI), nanotechnology, and biosensors allow fast, accurate, real-time contaminant identification. AI-based machine learning improves food analysis, enhances imaging methods, and combines IoT and blockchain for tracking. Nanotechnology allows ultra-sensitive detection with nanoparticle-based sensors and nanozymes. Biosensors provide specific detection of toxins, pathogens, and contaminants using enzyme-based, immunosensor, and DNA/aptamer-based technologies. Next-generation electrochemical, optical, and paper biosensors increase practical usage. Hybrid concepts such as AI-sensing nanosensors and IoT-based smart packaging have intelligent, automated responses. Challenges of scaling up, regulation, affordability, and sustainability are limitations to widespread adoption. They can be overcome with collaboration, policy structures, and public sensitization. This review aims to explore the latest advancements in food safety technologies, focusing on AI-powered, nano-enabled, and biosensor-based strategies for rapid contaminant detection. It examines how artificial intelligence, nanotechnology, and biosensors transform food safety by enabling the real-time, sensitive, and accurate detection of microbial pathogens, chemical residues, allergens, and other contaminants. Additionally, it analyses recent innovations and effectiveness across different food matrices while addressing challenges such as regulatory concerns, integration barriers, and technological limitations. By providing a comprehensive evaluation of these emerging approaches, this review highlights their potential to enhance food safety monitoring, ensuring improved consumer protection and regulatory compliance.

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来源期刊
Food Analytical Methods
Food Analytical Methods 农林科学-食品科技
CiteScore
6.00
自引率
3.40%
发文量
244
审稿时长
3.1 months
期刊介绍: Food Analytical Methods publishes original articles, review articles, and notes on novel and/or state-of-the-art analytical methods or issues to be solved, as well as significant improvements or interesting applications to existing methods. These include analytical technology and methodology for food microbial contaminants, food chemistry and toxicology, food quality, food authenticity and food traceability. The journal covers fundamental and specific aspects of the development, optimization, and practical implementation in routine laboratories, and validation of food analytical methods for the monitoring of food safety and quality.
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