Rapid serological detection of smooth Brucella strain antibodies in bovine and sheep using a dynamic flow immunochromatographic test.
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| Title: | Rapid serological detection of smooth Brucella strain antibodies in bovine and sheep using a dynamic flow immunochromatographic test. |
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| Authors: | Zhou K; State Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Dairy Research Institute, Bright Dairy & Food Co., Ltd, Shanghai, China.; Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China., You C; Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China., Wang F; Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China., Li L; Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China., Lian L; Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China., Jia Y; Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China., Han X; Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China., Jiang W; State Key Laboratory of Dairy Biotechnology, Shanghai Engineering Research Center of Dairy Biotechnology, Dairy Research Institute, Bright Dairy & Food Co., Ltd, Shanghai, China.; Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China. |
| Source: | Frontiers in cellular and infection microbiology [Front Cell Infect Microbiol] 2026 Jun 04; Vol. 16, pp. 1804374. Date of Electronic Publication: 2026 Jun 04 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101585359 Publication Model: eCollection Cited Medium: Internet ISSN: 2235-2988 (Electronic) Linking ISSN: 22352988 NLM ISO Abbreviation: Front Cell Infect Microbiol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2235-2988 |
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| DOI: | 10.3389/fcimb.2026.1804374 |
