食品与发酵工业2024，Vol.50Issue(24)：381-391,11.DOI:10.13995/j.cnki.11-1802/ts.039259
显微高光谱成像技术在食品质量安全检测中的研究进展
Research progress of hyperspectral microscope imaging technology in food quality and safety inspection
摘要
Abstract
Efficient collection of food quality and safety data is the foundation for implementing online food inspection and intelligent sorting.Hyperspectral imaging(HSI),as a rapid and non-destructive detection method,plays a crucial role in the food industry.Micros-copy can provide detailed information about the microstructure of food products,making it a classic yet effective means of detection as well.Hyperspectral microscope imaging(HMI)combines the benefits of HSI with microscopy to extract spectral,spatial,and microstruc-tural data from samples at the same time.HMI can acquire rich information on food samples in real-time and realize multi-dimensional a-nalysis,providing a more comprehensive,accurate,and efficient means for food testing.Thus,HMI has great potential in food quality a-nalysis and safety inspections.Researchers are constantly conducting relevant studies.This study introduces the principle and system com-ponents of HMI,summarize the research progress,and discusses the existing application bottlenecks.This study also proposes further de-velopment prospects,such as expanding the adaptability of detection and enhancing compatibility with other technologies.The goal of this paper is to provide a reference for the further study and application of HMI in the field of food science.关键词
显微高光谱成像/红外光谱/食品质量/食品安全/无损检测Key words
hyperspectral microscope imaging/infrared spectroscopy/food quality/food safety/non-destructive testing引用本文复制引用
吴俣,袁伟东,周禹,张聪,王大臣,蒋雪松,周宏平,姜洪喆..显微高光谱成像技术在食品质量安全检测中的研究进展[J].食品与发酵工业,2024,50(24):381-391,11.基金项目
国家重点研发计划(2022YFD2202103-5) （2022YFD2202103-5）
国家自然科学基金(32102071) （32102071）
中国博士后科学基金(2023M741724) （2023M741724）
