Graphene oxide-assisted optimized narrow-thermal-cycling amplification for accurate detection of Salmonella spp.
文献类型： 外文期刊
第一作者： Zhuang, Linlin
作者： Zhuang, Linlin;Shen, Qiuping;Yang, Jianbo;Xie, Haiqiang;Hao, Pan;Zhu, Mengling;Zhuang, Linlin;Zhang, Yu;Zhuang, Linlin;Zhang, Yu;Gong, Jiansen;Zhang, Di;Zhang, Ping
作者机构：
关键词： Graphene oxide; Accelerated strand exchange amplification; Salmonella spp.
期刊名称：ANALYTICAL SCIENCES （ 影响因子：1.967； 五年影响因子：1.675 ）
ISSN： 0910-6340
年卷期：
页码：
收录情况： SCI
摘要： Salmonella is a rod-shaped, Gram-negative zoonotic pathogen that poses a serious global socioeconomic and public health threat. Rapid and accurate detection of Salmonella spp. is critical for effective control of its infection. In this study, an accurate, sensitive and specific graphene oxide-assisted accelerated strand exchange amplification (GO-ASEA) method for rapid detection of Salmonella spp. was developed and validated. The detection limit of the GO-ASEA method was 8.6x 10(1) fg mu L-1 of Salmonella genomic DNA or 1 x 10(1) CFU g(-1) of Salmonella in spiked chicken faeces free of pre-enrichment. And the GO-ASEA method could specifically detect Salmonella spp. without cross-reactivity with other enteric pathogens. In addition, the novel method achieved Salmonella detection within 30 min and was validated using 209 clinical samples, showing its good clinical applicability. Therefore, the GO-ASEA method is a new optional tool for the rapid detection of pathogenic microorganisms, which is ideal for food safety monitoring and high-throughput detection.
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