Surveillance of pathogenic bacteria on a food matrix using machine-learning-enabled paper chromogenic arrays-Reference-Cited by-同舟云学术

Surveillance of pathogenic bacteria on a food matrix using machine-learning-enabled paper chromogenic arrays

Published:2024-03 Issue: Volume:248 Page:115999
ISSN:0956-5663
Container-title:Biosensors and Bioelectronics
language:en
Short-container-title:Biosensors and Bioelectronics

Author:

Jia Zhen,Luo Yaguang^ORCID,Wang Dayang,Holliday Emma^ORCID,Sharma Arnav^ORCID,Green Madison M.,Roche Michelle R.,Thompson-Witrick Katherine^ORCID,Flock Genevieve^ORCID,Pearlstein Arne J.,Yu Hengyong^ORCID,Zhang Boce^ORCID

Funder

National Institute of Food and Agriculture

U.S. Army

Institute of Food and Agricultural Sciences, University of Florida

The CCDC Soldier Center

U.S. Army Combat Capabilities Development Command Soldier Center

National Rosacea Society

Publisher

Elsevier BV

Reference65 articles.

1. Optical sensor arrays for chemical sensing: the optoelectronic nose

2. Significance of Inoculum Size in the Lag Time of Listeria monocytogenes

3. Effect of the inoculum size on Listeria monocytogenes growth in structured media

4. Application of electronic nose as a non-invasive technique for odor fingerprinting and detection of bacterial foodborne pathogens: a review

Cited by 4 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. Detection of SARS-CoV-2 using machine learning-enabled paper-assisted ratiometric fluorescent sensors based on target-induced magnetic DNAzyme;Biosensors and Bioelectronics;2024-07

2. Enhancing pathogen identification in cheese with high background microflora using an artificial neural network-enabled paper chromogenic array sensor approach;Sensors and Actuators B: Chemical;2024-07

3. Preservation of fruits through drying—A comprehensive review of experiments and modeling approaches;Journal of Food Process Engineering;2024-03

4. Machine learning-enabled colorimetric sensors for foodborne pathogen detection;Advances in Food and Nutrition Research;2024