对水产品新鲜度评估在冷链物流中的先进传感器技术的审查
Baichuan Wang1,2, Kang Liu1, Guangfen Wei3
1Beijing Laboratory of Food Quality and Safety, College of Engineering, China Agricultural University, Beijing 100083, China.
Biosensors
|October 25, 2024
概括
先进的传感器和模式识别算法提供实时,非侵入性监测水产品在冷链中的新鲜度,改善质量和安全评估超出传统方法.
科学领域:
- 食品科学 食品科学 食品科学
- 分析化学 分析化学
- 传感器技术 传感器技术
背景情况:
- 水产品的质量和安全至关重要,特别是在冷链中.
- 传统的新鲜度评估方法往往耗时,劳动密集,缺乏具体性.
- 水产品的易腐性要求可靠和高效的质量控制.
研究的目的:
- 审查在冷链物流中评估水产品新鲜度的多功能传感器设备的进展.
- 探索模式识别算法的应用,用于新鲜度识别和分类.
- 突出这一领域的传感器技术的当前状态和未来潜力.
主要方法:
- 审查传感器技术,包括电子鼻子,电子舌头,生物传感器和柔性传感器.
- 检查用于分析来自传感器设备的数据的模式识别算法.
- 分析新鲜度标准,并通过各种传感器方式进行检测.
主要成果:
- 传感器技术使水产产品新鲜度的实时,非侵入性监测成为可能.
- 检测挥发性有机化合物,生物化学标记物和物理性质,提供全面的新鲜度数据.
- 模式识别算法有效地分类和识别新鲜度水平.
结论:
- 将传感器集成到冷链物流中显著提高了水产品质量和安全的维护.
- 多功能传感器和先进的算法对未来的水产品新鲜度评估有很大的希望.
- 克服现有的挑战对于这些技术的广泛采用至关重要.
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