Wang Yuling, Ou Xingqi, He Hong-Ju, Kamruzzaman Mohammed
School of Life Science & Technology, Henan Institute of Science and Technology, Xinxiang 453003, China.
School of Food Science, Henan Institute of Science and Technology, Xinxiang 453003, China.
Food Chem X. 2024 Feb 16;21:101235. doi: 10.1016/j.fochx.2024.101235. eCollection 2024 Mar 30.
The potential of hyperspectral imaging technology (HIT) for the determination of physicochemical and nutritional components, evaluation of fungal/mycotoxins contamination, wheat varieties classification, identification of non-mildew-damaged wheat kernels, as well as detection of flour adulteration is comprehensively illustrated and reviewed. The latest findings (2018-2023) of HIT in wheat quality evaluation through internal and external attributes are compared and summarized in detail. The limitations and challenges of HIT to improve assessment accuracy are clearly described. Additionally, various practical recommendations and strategies for the potential application of HIT are highlighted. The future trends and prospects of HIT in evaluating wheat quality are also mentioned. In conclusion, HIT stands as a cutting-edge technology with immense potential for revolutionizing wheat quality evaluation. As advancements in HIT continue, it will play a pivotal role in shaping the future of wheat quality assessment and contributing to a more sustainable and efficient food supply chain.
全面阐述并综述了高光谱成像技术（HIT）在测定物理化学和营养成分、评估真菌/霉菌毒素污染、小麦品种分类、识别未受霉菌损害的小麦籽粒以及检测面粉掺假方面的潜力。详细比较并总结了HIT在2018 - 2023年通过内部和外部属性评估小麦品质的最新研究结果。清晰描述了HIT在提高评估准确性方面的局限性和挑战。此外，还强调了HIT潜在应用的各种实用建议和策略。也提到了HIT在评估小麦品质方面的未来趋势和前景。总之，HIT是一项具有巨大潜力的前沿技术，有望彻底改变小麦品质评估。随着HIT的不断进步，它将在塑造小麦品质评估的未来以及推动更可持续、高效的食品供应链方面发挥关键作用。
