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基于循环 DNA 纳米结构@AuNP 标签和级联引物交换反应的高灵敏度 SERS 平台用于病原体分析。

Highly sensitive SERS platform for pathogen analysis by cyclic DNA nanostructure@AuNP tags and cascade primer exchange reaction.

机构信息

Laboratory Medicine, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, 510080, People's Republic of China.

Center for Clinical Laboratory Diagnosis and Research, Affiliated Hospital of Youjiang Medical University for Nationalities, Baise, Guangxi, 533000, People's Republic of China.

出版信息

J Nanobiotechnology. 2024 Feb 26;22(1):75. doi: 10.1186/s12951-024-02339-1.

Abstract

The capacity to identify small amounts of pathogens in real samples is extremely useful. Herein, we proposed a sensitive platform for detecting pathogens using cyclic DNA nanostructure@AuNP tags (CDNA) and a cascade primer exchange reaction (cPER). This platform employs wheat germ agglutinin-modified FeO@Au magnetic nanoparticles (WMRs) to bind the E. coli O157:H7, and then triggers the cPER to generate branched DNA products for CDNA tag hybridization with high stability and amplified SERS signals. It can identify target pathogens as low as 1.91 CFU/mL and discriminate E. coli O157:H7 in complex samples such as water, milk, and serum, demonstrating comparable or greater sensitivity and accuracy than traditional qPCR. Moreover, the developed platform can detect low levels of E. coli O157:H7 in mouse serum, allowing the discrimination of mice with early-stage infection. Thus, this platform holds promise for food analysis and early infection diagnosis.

摘要

识别实际样本中少量病原体的能力非常有用。在此,我们提出了一种使用循环 DNA 纳米结构@AuNP 标签 (CDNA) 和级联引物交换反应 (cPER) 检测病原体的灵敏平台。该平台采用麦芽凝集素修饰的 FeO@Au 磁性纳米粒子 (WMRs) 结合大肠杆菌 O157:H7,然后触发 cPER 生成支化 DNA 产物,与具有高稳定性和扩增 SERS 信号的 cDNA 标签进行杂交。它可以识别低至 1.91 CFU/mL 的目标病原体,并区分水、牛奶和血清等复杂样本中的大肠杆菌 O157:H7,其灵敏度和准确性可与传统 qPCR 相媲美或更高。此外,该开发平台可以检测小鼠血清中的低水平大肠杆菌 O157:H7,从而可以区分早期感染的小鼠。因此,该平台有望用于食品分析和早期感染诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a499/10895721/e4e3f1008e95/12951_2024_2339_Fig1_HTML.jpg

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