2022

Detection of Haemophilus influenzae by loop-mediated isothermal amplification coupled with nanoparticle-based lateral flow biosensor assay.

BMC microbiology Cao Q, Liang S, Lin F, Cao J, Wang L, Li H, Liu M, Wang Y, Zhao L, Cao X, Guo Y
阅读原文 PDF DOI PubMed

组成图示

示意图生成中

传感器类型

检测对象

检测原理

检测灵敏度

效应效果

传感器的构成

中文摘要

英文摘要

BACKGROUND: Haemophilus influenzae was the most aggressive pathogen and formed a major cause of bacterial meningitis and pneumonia in young children and infants, which need medical emergency requiring immediate diagnosis and treatment. However, From isolation to identification of H. influenzae, the traditional diagnose strategy was time-consuming and expensive. Therefore, the establishment of a convenient, highly sensitive, and stable detection system is urgent and critical. RESULTS: In this study, we used a combined method to detect H. influenzae. Six specific primers were designed on the basis of outer membrane protein P6 gene sequence of H. influenzae. The reaction condition such as the optimum temperature was 65℃, and the optimum reaction time was 30 min, respectively. Through the loop-mediated isothermal amplification (LAMP) in combination with nanoparticle-based lateral flow biosensor (LFB), the sensitivity of LAMP-LFB showed 100 fg was the lowest genomic DNA templates concentration in the pure cultures. Meanwhile, the specificity of H. influenzae-LAMP-LFB assay showed the exclusive positive results, which were detected in H. influenzae templates. In 55 clinical sputum samples, 22 samples were positive with LAMP-LFB method, which was in accordance with the traditional culture and Polymerase Chain Reaction (PCR) method. The accuracy in diagnosing H. influenzae with LAMP-LFB could reach 100%, compared to culture and PCR method, indicating the LAMP-LFB had more advantages in target pathogen detection. CONCLUSIONS: Taken together, LAMP-LFB could be used as an effective diagnostic approach for H. influenzae in the conditions of basic and clinical labs, which would allow clinicians to make better informed decisions regarding patient treatment without delay.

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