Inspection of food quality and safety using hyperspectral imaging technique

利用高光谱成像技术检测食品质量和安全

• 批准号: RTI-2017-00079
• 负责人: Lu, Xiaonan
• 金额: $ 9.75万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Research Tools and Instruments
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=616544
• 关键词: Inspection; food; quality; safety; using

Producers, processors and ultimately Canadian consumers stand to benefit from the development of automated, non-destructive, rapid, high-throughput and accurate techniques for on-line inspection of food quality and safety in the food production industry. Continuous process monitoring would enable a producer to maximize the value and minimize the waste when it comes to utilization of raw materials and assurance of production quality; hence, offering consumers with a product of greater nutritional value at a lower cost. High-capacity process monitoring requires non-contact optical techniques, which uses digital imaging and molecular spectroscopy. The applicant’s NSERC Discovery Grant, Collaborative Research and Development Grant, and Engage Grant research programs focus on the application of these methodologies for the inspection of food quality and safety. This proposal therefore aims to request for funds to acquire a hyperspectral imaging platform to be used by a team of UBC research groups in Food Science, Chemistry, and Chemical & Biological Engineering. This research project in particular will apply spectrochemical and 2D optical image processing to develop a reliable and objective inspection system capable of monitoring food quality and safety in a rapid and non-destructive manner. Availability of such a hyperspectral imaging system will minimize reliance on human inspection of food quality and safety during food production and delivery and establish food external and compositional attributes. Overall, the combination of spectral and imaging information will enable an efficient new mean for the reliable on-line inspection of the quality and safety of fruit and meat. It is expected that the research using the hyperspectral imaging system will provide sufficient information on the normal and abnormal variance in the composition of bulk commodity food items. Furthermore, research in the classification of spectral and morphological materials will provide unique opportunities to train highly qualified personnel in Canada to become leaders with expertise in the application of spectroscopic-based instrumental technologies, both as research tools, and as a mean to complement traditional methods for the determination of food quality and safety.

生产商、加工商和最终的加拿大消费者将受益于自动化、无损、快速、高通量和准确的技术的开发，用于食品生产行业的食品质量和安全在线检测。持续的过程监控将使生产商在原材料利用和产品质量保证方面实现价值最大化和浪费最小化，从而以较低的成本为消费者提供更具营养价值的产品。大容量过程监控需要使用数字成像和分子光谱学的非接触式光学技术。申请者的NSERC发现基金、合作研究和开发基金和Engage Grant研究项目侧重于将这些方法应用于食品质量和安全检查。 因此，这项提案旨在申请资金，以获得一个高光谱成像平台，供UBC食品科学、化学和化学与生物工程研究小组使用。这项研究项目将特别应用光谱化学和2D光学图像处理技术来开发一种可靠和客观的检测系统，能够快速和无损地监测食品质量和安全。这种高光谱成像系统的提供将最大限度地减少对食品生产和交付过程中对食品质量和安全的人工检查的依赖，并确定食品的外部和成分属性。总体而言，光谱和成像信息的结合将为水果和肉类的质量和安全的可靠在线检测提供一种有效的新手段。 预计使用高光谱成像系统的研究将提供关于散装商品食品组成的正常和异常变化的足够信息。此外，光谱和形态材料分类的研究将提供独特的机会，培训加拿大高素质的人员，使其成为基于光谱的仪器技术应用方面的领先者，既是研究工具，也是补充食品质量和安全测定传统方法的手段。