Identification of geographical origin of semen ziziphi spinosae based on hyperspectral imaging combined with convolutional neural networks-Reference-Cited by-同舟云学术

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Identification of geographical origin of semen ziziphi spinosae based on hyperspectral imaging combined with convolutional neural networks

Published:2024-01 Issue: Volume:136 Page:104982
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Zhao Xin,Liu Xin,Xie Peixin,Ma Jingyi,Shi Yuna,Jiang Hongzhe,Zhao Zhilei,Wang Xianyou,Li Chunhua,Yang Ying

Funder

National Natural Science Foundation of China

Hebei University

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

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3. Y.F. Sun, Z.S. Liang, C.J. Shan, H. Viernstein, F. Unger, Comprehensive evaluation of natural antioxidants and antioxidant potentials in Ziziphus jujuba Mill. var. spinosa (Bunge) Hu ex H. F. Chou fruits based on geographical origin by TOPSIS method, Food Chem. 124(4) (2011) 1612-1619, https://doi.org/10.1016/j.foodchem.2010.08.026.

4. capillary electrophoresis;Cordeiro;Food Chem.,2019

5. Characterization of chemical compounds susceptible to be extracted from cork by the wine using GC-MS and (1)H NMR metabolomic approaches;Pinto;Food Chem..,2019

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