Quality inspection of agri-food products using near-infrared (NIR) hyperspectral imaging

使用近红外 (NIR) 高光谱成像对农产品进行质量检测

基本信息

批准号：
548196-2019
负责人：
Corscadden, Kenneth
金额：
$ 10.93万
依托单位：
Lethbridge Community College
依托单位国家：
加拿大
项目类别：
Applied Research Tools and Instruments Grants
财政年份：
2019
资助国家：
加拿大
起止时间：
2019-01-01 至 2020-12-31
项目状态：
已结题

来源：
https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=693817
关键词：
Quality inspection agri food products

项目摘要

Southern Alberta has a rich diversity of crop production including wheat, canola, pulses, corn, potatoes, and sugar beets. The region generates over $3.11 billion in farm revenues and provides high quality raw material for over 120 established agri-food businesses located near Lethbridge, including many world-leading foodprocessors. Robust quality measurement of agri-food products throughout the supply chain is critical, asrequired by food safety regulations and increased consumer demand for high quality and safe food.The food processing industry is looking for rapid and non-destructive methods for quality and safetyinspection. Near Infrared (NIR) Hyperspectral imaging is emerging as rapid, non-destructive andmulti-analytical technology for quality and safety inspection of agri-food products with improved measurementaccuracy. Hyperspectral imaging provides the spectral information in a spatially resolved manner; therefore, each pixel of a scanned sample has its own spectrum. The vast amount of compositional information alongwith spatial labeling, can be used for quality (texture, flavor, shape, nutritional value, and composition) and safety (chemical and microbial contamination, foreign material, impurity, and adulteration) inspection ofagri-food products such as: cereals and other grains, meat, fruits and vegetables, dairy products, and processed food.

艾伯塔省南部拥有丰富多样的农作物生产，包括小麦、油菜、豆类、玉米、土豆和甜菜。该地区的农业收入超过 31.1 亿美元，并为莱斯布里奇附近 120 多家成熟的农业食品企业提供优质原材料，其中包括许多世界领先的食品加工企业。根据食品安全法规的要求以及消费者对高质量和安全食品日益增长的需求，对整个供应链中的农产品进行可靠的质量测量至关重要。食品加工行业正在寻找快速、无损的质量和安全检测方法。近红外 (NIR) 高光谱成像是一种快速、无损、多分析技术，可用于农产品质量和安全检测，并提高了测量精度。高光谱成像以空间分辨的方式提供光谱信息；因此，扫描样本的每个像素都有自己的光谱。大量的成分信息以及空间标签可用于农产品等农产品的质量（质地、风味、形状、营养价值和成分）和安全（化学和微生物污染、异物、杂质和掺假）检查。如：谷物和其他谷物、肉类、水果和蔬菜、乳制品和加工食品。