Semiquantitative Fingerprinting Based on Pseudotargeted Metabolomics and Deep Learning for the Identification of <i>Listeria monocytogenes</i> and Its Major Serotypes-Reference-Cited by-同舟云学术

Semiquantitative Fingerprinting Based on Pseudotargeted Metabolomics and Deep Learning for the Identification of Listeria monocytogenes and Its Major Serotypes

Published:2023-04-04 Issue:15 Volume:95 Page:6218-6226
ISSN:0003-2700
Container-title:Analytical Chemistry
language:en
Short-container-title:Anal. Chem.

Author:

Feng Ying¹²³⁴,Wei Xianhu¹,Chen Moutong¹,Zhu Honghui¹^ORCID,Zhang Jumei¹,Zhang Youxiong¹,Xue Liang¹,Huang Lanyan¹²⁴,Chen Guoyang¹²⁴,Gu Qihui¹,Wu Shi¹,Ding Yu³^ORCID,Wu Qingping¹^ORCID

Affiliation:

1. Key Laboratory of Agricultural Microbiomics and Precision Application, Ministry of Agriculture and Rural Affairs, Guangdong Provincial Key Laboratory of Microbial Culture Collection and Application, State Key Laboratory of Applied Microbiology Southern China, Institute of Microbiology, Guangdong Academy of Sciences, Guangzhou 510070, China

2. Guangzhou Institute of Chemistry, Chinese Academy of Sciences, Guangzhou 510650, China

3. Department of Food Science & Engineering, Institute of Food Safety and Nutrition, Jinan University, Huangpu Avenue 601, Guangzhou 510632, China

4. University of Chinese Academy of Sciences, Beijing 100049, China

Funder

Guangdong Science and Technology Department

Ministry of Science and Technology of the People's Republic of China

Government of Guangdong Province

Guangdong Academy of Sciences

Publisher

American Chemical Society (ACS)

Subject

Analytical Chemistry