College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou, China.
Ministry of Agriculture and Rural Affairs, Key Laboratory of Spectroscopy Sensing, Hangzhou, China.
Crit Rev Food Sci Nutr. 2022;62(20):5476-5494. doi: 10.1080/10408398.2021.1885342. Epub 2021 Feb 13.
In the process of growing, harvesting, and storage, fruits are vulnerable to mechanical damage, microbial infections, and other types of damage, which not only reduce the quality of fruits, increase the risk of fungal infections, in turn greatly affect food safety, but also sharply reduce economic benefits. Hence, it is essential to identify damaged fruits in time. Rapid and nondestructive detection of fruits damage is in great demand. In this paper, the latest research progresses on the detection of fruits damage by nondestructive techniques, including visible/near-infrared spectroscopy, chlorophyll fluorescence techniques, computer vision, multispectral and hyperspectral imaging, structured-illumination reflectance imaging, laser-induced backscattering imaging, optical coherence tomography, nuclear magnetic resonance and imaging, X-ray imaging, electronic nose, thermography, and acoustic methods, are summarized. We briefly introduce the principles of these techniques, summarize their applicability. The challenges and future trends are also proposed to provide beneficial reference for future researches and real-world applications.
在生长、收获和储存过程中，水果容易受到机械损伤、微生物感染和其他类型的损伤，这不仅降低了水果的质量，增加了真菌感染的风险，进而极大地影响了食品安全，还大幅降低了经济效益。因此，及时识别受损水果至关重要。快速无损地检测水果损伤的需求很大。本文综述了近年来利用可见/近红外光谱、叶绿素荧光技术、计算机视觉、多光谱和高光谱成像、结构光反射成像、激光背散射成像、光学相干断层扫描、磁共振和成像、X 射线成像、电子鼻、热成像和声学等无损检测技术对水果损伤检测的最新研究进展。简要介绍了这些技术的原理，总结了它们的适用性。还提出了这些技术所面临的挑战和未来的发展趋势，为未来的研究和实际应用提供有益的参考。
