Rapid and Precise Differentiation and Authentication of Agricultural Products via Deep Learning-Assisted Multiplex SERS Fingerprinting-Reference-Cited by-同舟云学术

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Rapid and Precise Differentiation and Authentication of Agricultural Products via Deep Learning-Assisted Multiplex SERS Fingerprinting

Published:2024-03-07 Issue:11 Volume:96 Page:4682-4692
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Wang Xueqing¹,Li Fan¹,Wei Lan¹,Huang Yun¹,Wen Xiang¹,Wang Dongmei¹^ORCID,Cheng Guiguang²^ORCID,Zhao Ruijuan³,Lin Yechun³,Yang Hui³,Fan Meikun¹^ORCID

Affiliation:

1. Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 610031, China

2. Faculty of Food Science and Engineering, Kunming University of Science and Technology, Kunming 650500, China

3. Guizhou Academy of Tobacco Science, Guiyang 550081, China

Funder

National Natural Science Foundation of China

Major Science and Technology Project of Yunnan Province

Guizhou Academy of Tobacco Science

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.analchem.4c00064

Reference46 articles.

1. Agricultural Produces: Synopsis of Employed Quality Control Methods for the Authentication of Foods and Application of Chemometrics for the Classification of Foods According to Their Variety or Geographical Origin

2. Hyperspectral imaging to classify and monitor quality of agricultural materials

3. High-Throughput and Rapid Screening of Low-Mass Hazardous Compounds in Complex Samples

4. Food fingerprints – A valuable tool to monitor food authenticity and safety

5. Advances in infrared spectroscopy combined with artificial neural network for the authentication and traceability of food

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1. Machine Learning-Aided Quantitative Detection of Two Mixed Antibiotics in a Narrow Concentration Range Based on Oxygen Incorporation-Induced 3d Sers Substrates;2024

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