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对基于传感器的电子鼻子进行全面审查,以确保食品质量和安全
Teodora Sanislav1, George D Mois1, Sherali Zeadally2,3
1Automation Department, Technical University of Cluj-Napoca, 400114 Cluj-Napoca, Romania.
Sensors (Basel, Switzerland)
|July 30, 2025
概括
电子鼻子提供自动化的食品质量和安全评估,在许多研究中达到90%以上的准确性. 传感器响应和可靠性的挑战仍然存在,需要适应性机器学习和标准化协议以实现更广泛的应用.
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:
- 食品质量和安全对于公共卫生,消费者信任和贸易至关重要.
- 自动化评估方法对于简化食品质量评估变得越来越重要.
- 电子鼻子 (e-noses) 正在成为这一领域的关键技术.
研究的目的:
- 为食品质量和安全提供电子鼻子研究的全面审查.
- 分析食品应用电子鼻子开发的现状,挑战和未来方向.
- 确定解决方案,以提高电子鼻子技术的稳定性和适用性.
主要方法:
- 在过去十年中,从三个科学数据库中对研究论文进行系统审查.
- 分析电子鼻子技术,传感器响应,模式识别算法和应用领域.
- 评估报告的准确性,局限性和现场提出的解决方案.
主要成果:
- 大多数研究都使用便携式,低成本的电子鼻子,用于特定食品类别的模式识别,达到>90%的准确性.
- 关键的挑战包括传感器响应多样性,气味分化,传感器漂移补偿和现实世界的可靠性.
- 目前还没有完全开发出模仿人类嗅觉能力的电子鼻子.
结论:
- 建议采用自适应机器学习模型和标准化协议来解决当前的局限性.
- 未来的电子鼻子开发应该侧重于强度,可解释性和工业应用的现场准备性.
- 提出了一份路线图,将电子鼻子技术从受控研究转变为可扩展的工业用途.
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