Rapid identification and quantification of adulteration in Dendrobium officinale using nuclear magnetic resonance spectroscopy combined with least-squares support vector machine-Reference-Cited by-同舟云学术

Rapid identification and quantification of adulteration in Dendrobium officinale using nuclear magnetic resonance spectroscopy combined with least-squares support vector machine

Published:2020-02-10 Issue:3 Volume:14 Page:1427-1432
ISSN:2193-4126
Container-title:Journal of Food Measurement and Characterization
language:en
Short-container-title:Food Measure

Author:

Jiang Lingling,Pan Linlin,Gao Hongchang,Zheng Hong^ORCID

Funder

the Qianjiang Talent Project of Zhejiang Province

National Natural Science Foundation of China

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/content/pdf/10.1007/s11694-020-00392-6.pdf

Reference39 articles.

1. L. Xia, X. Liu, H. Guo, H. Zhang, J. Zhu, F. Ren, J. Func, Foods 4, 294 (2012)

2. X. Xing, S.W. Cui, S. Nie, G.O. Phillips, H.D. Goff, Q. Wang, Bioact. Carbohydr. Diet. Fibre 1, 131 (2013)

3. L.H. Pan, X.F. Li, M.N. Wang, X.Q. Zha, X.F. Yang, Z.J. Liu et al., Int. J. Biol. Macromol. 64, 420 (2014)

4. T.B. He, Y.P. Huang, L. Yang, T.T. Liu, W.Y. Gong, X.J. Wang et al., Int. J. Biol. Macromol. 83, 34 (2016)

5. G.Y. Zhang, S.P. Nie, X.J. Huang, J.L. Hu, S.W. Cui, M.Y. Xie, G.O. Phillips, J. Agric. Food Chem. 64, 2485 (2015)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rapid and accurate detection of Dendrobium officinale adulterated with lower-price species using NMR characteristic markers integrated with artificial neural network;Journal of Food Measurement and Characterization;2024-05-09

2. Detection of Adulterations and Contaminations in Food Products by NMR;The Environment in a Magnet;2024-03-04

3. A comparative analysis of the machine learning methods for milk adulteration detection;PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE OF GREEN CIVIL AND ENVIRONMENTAL ENGINEERING (GCEE 2021);2021