Non-destructive detection of Flos Lonicerae treated by sulfur fumigation based on hyperspectral imaging-Reference-Cited by-同舟云学术

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Non-destructive detection of Flos Lonicerae treated by sulfur fumigation based on hyperspectral imaging

Published:2018-08-11 Issue:4 Volume:12 Page:2809-2818
ISSN:2193-4126
Container-title:Journal of Food Measurement and Characterization
language:en
Short-container-title:Food Measure

Author:

Liu Yunhong,Wang Qingqing,Xu Qian,Feng Jie,Yu Huichun,Yin Yong

Funder

the National Natural Science Foundation of China

the Science and Technology Project of Henan Province

the Natural Science Foundation of Henan Province

Publisher

Springer Science and Business Media LLC

Subject

Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality,General Chemical Engineering,Food Science

Link

http://link.springer.com/article/10.1007/s11694-018-9896-z/fulltext.html

Reference42 articles.

1. D.X. Kong, Y.Q. Lia, M. Bai, H.J. He, G.X. Liang, H. Wu, Correlation between the dynamic accumulation of the main effective components and their associated regulatory enzyme activities at different growth stages in Lonicera japonica Thunb. Ind. Crop. Prod. 96, 16–22 (2017)

2. X. Shang, H. Pan, M. Li, X. Miao, H. Ding, Lonicera japonica Thunb.: ethnopharmacology, phytochemistry and pharmacology of an important traditional Chinese medicine. J. Ethnopharmacol. 138(1), 1–21 (2011)

3. X. Yang, Y. Liu, A. Hou, Y. Yang, X. Tian, L. He, Systematic review for geo-authentic Lonicerae Japonicae Flos. Front. Med. 11(2), 203–213 (2017)

4. Y.H. Liu, S. Miao, J.Y. Wu, J.X. Liu, H.C. Yu, X. Duan, Drying characteristics and modeling of vacuum far-infrared radiation drying of Flos Lonicerae. J. Food Process. Pres. 39(4), 338–348 (2015)

5. A.L. Guo, L.M. Chen, Y.M. Wang, X.Q. Liu, Q.W. Zhang, Influence of sulfur fumigation on the chemical constituents and antioxidant activity of buds of Lonicera japonica. Molecules 19(10), 16640–16655 (2014)

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4. Applications of Hyperspectral Imaging Technology Combined with Machine Learning in Quality Control of Traditional Chinese Medicine from the Perspective of Artificial Intelligence: A Review;Critical Reviews in Analytical Chemistry;2023-05-29

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