Fluorescent dual-signal immunosensor combined with machine learning algorithm for accuracy discrimination of natural Brucella infection and vaccination-Reference-Cited by-同舟云学术

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Fluorescent dual-signal immunosensor combined with machine learning algorithm for accuracy discrimination of natural Brucella infection and vaccination

Published:2024-06 Issue: Volume:409 Page:135534
ISSN:0925-4005
Container-title:Sensors and Actuators B: Chemical
language:en
Short-container-title:Sensors and Actuators B: Chemical

Author:

Zou Deying,Chang Jiang,Lu Shiying,Hu Pan,Zhang Kai,Han Cheng,Li Feng,Li Yansong,Chi Dan,Cheng Mengyan,Xu Jianfeng,Sun Xiaoli,Liu Zengshan,Ren Honglin

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference35 articles.

1. Animal brucellosis control or eradication programs worldwide: a systematic review of experiences and lessons learned;Zhang;Prev. Vet. Med,2018

2. Brucella Exposure Risk Events in 10 Clinical Laboratories, New York City, USA, 2015 to 2017;Ackelsberg;J. Clin. Microbiol,2020

3. Development of improved enzyme-based and lateral flow immunoassays for rapid and accurate serodiagnosis of canine brucellosis;Cortina;Vet. Microbiol,2017

4. Development and evaluation of a PCR-enzyme-linked immunosorbent assay for diagnosis of human brucellosis;Morata;J. Clin. Microbiol,2003

5. Effectiveness of Rose Bengal test and fluorescence polarization assay in the diagnosis of Brucella spp. infections in free range cattle reared in endemic areas in Zambia;Muma;Trop. Anim. Health Prod.,2009

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