实时监测食品质量的智能生物系统的创新和应用现状报告

Tétédé Rodrigue Christian Konfo , Comlan Kintomagnimessè Célestin Tchekessi , Farid Abdel Kader Baba-Moussa
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引用次数: 0

摘要

与传统方法相比,智能生物系统利用尖端技术提高了安全性、精确性和效率,是食品质量监测领域的一大进步。本文献综述重点介绍了与智能生物系统相关的证据现状。其重点是在食品质量评估过程中整合生物传感器、智能包装和数字技术。我们研究了酶生物传感器、免疫传感器和 DNA 传感器等关键创新技术,以及生物聚合物和智能包装材料方面的进展。综述还强调了实际应用和现实案例研究,说明了这些技术如何改进微生物污染检测、化学污染物监测以及营养和新鲜度评估。尽管智能生物系统潜力巨大,但在灵敏度、集成度、合规性和成本方面仍面临挑战。然而,这些技术带来的益处,如提高食品安全、增强消费者信任和可持续发展等,远远大于其局限性。展望未来,传感器技术将不断进步,在食品工业中得到更广泛的应用,并与人工智能和物联网等数字工具进一步整合,以提高效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Status report on innovations and applications of smart bio-systems for real-time monitoring of food quality
Smart bio-systems represent a significant advancement in food quality monitoring by utilizing cutting-edge technologies to enhance safety, precision, and efficiency compared to conventional methods. This literature review highlights the current state of evidence related to smart bio-systems. It focuses on the integration of biosensors, smart packaging, and digital technologies in the food quality assessment process. We examine key innovations such as enzymatic biosensors, immunosensors, and DNA-based sensors, as well as advancements in biopolymers and smart packaging materials. The review also emphasizes practical applications and real-world case studies, illustrating how these technologies improve microbial contamination detection, chemical contaminant monitoring, and nutrient and freshness evaluation. Despite their potential, smart bio-systems face challenges related to sensitivity, integration, regulatory compliance, and cost. However, the benefits of these technologies, such as increased food safety, consumer trust, and sustainable practices, outweigh the limitations. Future perspectives suggest continued advancements in sensor technology, broader applications across the food industry, and greater integration with digital tools such as AI and IoT for enhanced efficiency.
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