Real-time food particle detector

实时食物颗粒检测仪

• 批准号: 521669-2017
• 负责人: Tang, Shuo
• 金额: $ 0.91万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Engage Plus Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640410
• 关键词: Real; time; food; particle; detector

Food particles' shape, size and size distribution determine crucial product properties such as mouthfeel, texture,flavour, appearance and processability of raw materials, as well as shelf life. In order to produce food particlesof consistent size and shape, it is very important to optimize and monitor manufacturing steps throughout theentire production process. Within the original engage project, we have explored the feasibility of combiningmicrofluidic channel technology with an image sensor for rapid analysis of particles in food industry. Tocontinue the development, we will further perform the experimental realization of digital in-line holography forfood particle detection. We will utilize a microfluidic-based particle sampling method and a CMOS/CCDcamera for achieving high-throughput characterization of food particles. With real-time food particlemonitoring, it can potentially improve the food production quality.

食品颗粒的形状、大小和大小分布决定了产品的关键特性，如口感、质地、风味、外观和原料的加工性以及保质期。为了生产大小和形状一致的食品颗粒，在整个生产过程中优化和监控制造步骤是非常重要的。在最初的Engage项目中，我们探索了将微流控通道技术与图像传感器相结合用于食品工业颗粒快速分析的可行性。为了继续发展，我们将进一步进行用于食品颗粒检测的数字同轴全息的实验实现。我们将利用一种基于微流控技术的颗粒采样方法和一台cmos/ccd摄像机来实现食品颗粒的高通量表征。通过实时的食品颗粒监测，可以潜在地提高食品生产质量。