Your browser doesn't support javascript.
loading
A recombinase polymerase amplification-SYBR Green I assay for the rapid and visual detection of Brucella.
Chang, Jiang; Wang, Nan; Zhan, Jun-Peng; Zhang, Shi-Jun; Zou, De-Ying; Li, Feng; Zhang, Ying; Li, Yan-Song; Hu, Pan; Lu, Shi-Ying; Liu, Zeng-Shan; Ren, Hong-Lin.
Afiliação
  • Chang J; State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, College of Animal Sciences, Jilin University, Changchun, China.
  • Wang N; Jilin Academy of Animal Husbandry and Veterinary Medicine, Changchun, China.
  • Zhan JP; State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, College of Animal Sciences, Jilin University, Changchun, China.
  • Zhang SJ; College of Medicine, Dalian University, Dalian, China.
  • Zou DY; State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, College of Animal Sciences, Jilin University, Changchun, China.
  • Li F; State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, College of Animal Sciences, Jilin University, Changchun, China.
  • Zhang Y; Panjin Center for Inspection and Testing, Panjin, China.
  • Li YS; State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, College of Animal Sciences, Jilin University, Changchun, China.
  • Hu P; Shandong Binzhou Animal Science and Veterinary Medicine Institute, Binzhou, China.
  • Lu SY; State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, College of Animal Sciences, Jilin University, Changchun, China.
  • Liu ZS; State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, College of Animal Sciences, Jilin University, Changchun, China.
  • Ren HL; State Key Laboratory for Diagnosis and Treatment of Severe Zoonotic Infectious Diseases, Key Laboratory for Zoonosis Research of the Ministry of Education, Institute of Zoonosis, College of Veterinary Medicine, College of Animal Sciences, Jilin University, Changchun, China.
Article em En | MEDLINE | ID: mdl-38041745
ABSTRACT
Brucellosis is a zoonosis caused by Brucella, which poses a great threat to human health and animal husbandry. Pathogen surveillance is an important measure to prevent brucellosis, but the traditional method is time-consuming and not suitable for field applications. In this study, a recombinase polymerase amplification-SYBR Green I (RPAS) assay was developed for the rapid and visualized detection of Brucella in the field by targeting BCSP31 gene, a conserved marker. The method was highly specific without any cross-reactivity with other common bacteria and its detection limit was 2.14 × 104 CFU/mL or g of Brucella at 40 °C for 20 min. It obviates the need for costly instrumentation and exhibits robustness towards background interference in serum, meat, and milk samples. In summary, the RPAS assay is a rapid, visually intuitive, and user-friendly detection that is highly suitable for use in resource-limited settings. Its simplicity and ease of use enable swift on-site detection of Brucella, thereby facilitating timely implementation of preventive measures.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article