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Smart fingertip sensor for food quality control: Fruit maturity assessment with a magnetic device

机译:用于食品质量控制的智能指尖传感器:用磁性装置进行水果成熟度评估

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摘要

Automated technologies for quality inspection of fruits have attracted great interest in the food industry. The development of nondestructive mechanisms to assess the quality of individual fruit prior to sale may lead to an increase in overall product quality, value, and consequently, producer competitiveness. However, the existing methods have limitations. Herein, a texture sensor based on highly sensitive hair-like cilia receptors, to allow a quick quality evaluation of fruit is proposed. The texture sensor consists of up to 100 magnetized nanocomposite cilia attached to a chip with magnetoresistive sensors in a full Wheatstone bridge architecture. In this paper we demonstrate the use of ciliary sensors in scanning fruits (blueberries and strawberries) in different maturation stages. The contact of the cilia with the fruit skin provided qualitative information about its texture in terms of ripeness stage. Less mature fruits exhibited, on average, a highest peak voltage of 0.14 mV for blueberries and 0.12 mV for strawberries, while overripe fruits exhibited 0.58 mV and 0.56 mV, respectively. The results were confirmed by sensorial assessment of the fruit freshness, and therefore attesting the application potential of the sensing technology for fruit quality control.
机译:水果质量检验的自动化技术引起了对食品工业的兴趣。非破坏性机制的发展,以评估销售前各种水果的质量可能导致整体产品质量,价值,从而增加生产者竞争力。但是,现有方法具有局限性。在此,提出了一种基于高敏感的纤毛受体的纹理传感器,以允许快速评估水果。纹理传感器由高达100个磁化的纳米复合材料Cilia安装在芯片上,在全惠斯通桥梁架构中有磁阻传感器。在本文中,我们展示了在不同成熟阶段扫描水果(蓝莓和草莓)中的睫状体传感器的使用。纤毛与果皮的接触在成熟阶段提供了有关其纹理的定性信息。较少成熟的水果平均,蓝莓和0.12 mV的最高峰值电压为0.14 mV,而原草莓分别表现出0.58mV和0.56mV。通过对水果新鲜度的感觉评估证实了结果,因此证明了果实质量控制的传感技术的应用潜力。

著录项

  • 来源
    《Journal of magnetism and magnetic materials》 |2021年第10期|168116.1-168116.5|共5页
  • 作者单位

    Instituto de Engenharia de Sistemas e Computadores - Microsistemas e Nanotecnologias (INESC MN) Lisbon 1000-029 Portugal Instituto Superior Tecnico Universidade de Lisboa Av. Rovisco Pais 1 Lisbon 1049-001 Portugal;

    Instituto de Engenharia de Sistemas e Computadores - Microsistemas e Nanotecnologias (INESC MN) Lisbon 1000-029 Portugal Instituto Superior Tecnico Universidade de Lisboa Av. Rovisco Pais 1 Lisbon 1049-001 Portugal;

    Instituto de Engenharia de Sistemas e Computadores - Microsistemas e Nanotecnologias (INESC MN) Lisbon 1000-029 Portugal;

    Instituto de Engenharia de Sistemas e Computadores - Microsistemas e Nanotecnologias (INESC MN) Lisbon 1000-029 Portugal Instituto Superior Tecnico Universidade de Lisboa Av. Rovisco Pais 1 Lisbon 1049-001 Portugal;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Food quality control; Texture sensor; Giant magnetoresistive sensor; Magnetic artificial cilia; Nanocomposite;

    机译:食品质量控制;纹理传感器;巨型磁阻传感器;磁性人工纤毛;纳米复合材料;

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