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MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...

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基于智能手机的传感系统用于识别人工大理石牛肉,使用纹理和颜色分析来提高食品安全.

Hong-Dar Lin1, Yi-Ting Hsieh1, Chou-Hsien Lin2

  • 1Department of Industrial Engineering and Management, Chaoyang University of Technology, Taichung 413310, Taiwan.

Sensors (Basel, Switzerland)
|July 30, 2025
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概括

一个新的智能传感系统使用移动设备检测人工大理石牛肉,保护消费者免受错误标签的产品和潜在的健康风险. 这项技术确保了食品安全和牛肉购买的透明度.

关键词:
人工大理石牛肉检测器颜色模型 颜色模型 颜色模型食品安全 食品安全以人为中心的医疗保健本地二进制模式本地二进制模式智能传感技术是一种智能传感技术.支持矢量机器的支持矢量机器.质地分析,质地分析.

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科学领域:

  • 食品科学与技术 食品科学与技术
  • 消费者健康 消费者健康
  • 人工智能在食品安全中的作用

背景情况:

  • 牛肉脂肪注射技术创建了人工大理石,模仿优质的瓦格尤牛肉.
  • 标签错误的产品由于未申报的添加剂和过敏原造成健康风险.
  • 瓦格尤的高成本推动了更便宜,人工增强的替代品的市场.

研究的目的:

  • 开发一种消费者可访问的智能传感系统,用于实时评估牛肉.
  • 为了区分真正的瓦格尤,普通和人工大理石牛肉.
  • 通过透明的产品信息,加强食品安全和消费者信任.

主要方法:

  • 一个集成在移动设备中的智能传感系统捕获牛肉图像.
  • 图像处理涉及感兴趣的区域掩盖,网格分区和特征提取 (本地二进制模式和RGB颜色).
  • 支持矢量机 (SVM) 模型对牛肉类型进行分类,最终通过多数投票进行分类.

主要成果:

  • 该系统在注入脂肪的牛肉中实现了95.00%的召回率.
  • 低误判率为1.67%的非脂肪注射牛肉被记录.
  • 高整体绩效指标包括93.89%的正确分类率和95.80%的F1分数.

结论:

  • 智能传感系统有效地识别了人工大理石牛肉.
  • 这项技术作为一个有价值的人为中心的医疗保健工具,以确保食品安全.
  • 该系统促进了知情的消费者选择和牛肉市场的透明度.