A Nanoparticle-Based Biosensor Combined With Multiple Cross Displacement Amplification for the Rapid and Visual Diagnosis of in Clinical Application.

Xu Chen, Liming Huang, Qingxue Zhou, Yan Tan, Xuhong Tan, Shilei Dong
Author Information
  1. Xu Chen: The Second Clinical College, Guizhou University of Traditional Chinese Medicine, Guiyang, China.
  2. Liming Huang: The Second Clinical College, Guizhou University of Traditional Chinese Medicine, Guiyang, China.
  3. Qingxue Zhou: Clinical Laboratory, Hangzhou Women's Hospital, Hangzhou, China.
  4. Yan Tan: Guizhou Provincial Center for Clinical Laboratory, Guiyang, China.
  5. Xuhong Tan: The Second Clinical College, Guizhou University of Traditional Chinese Medicine, Guiyang, China.
  6. Shilei Dong: Department of Clinical Laboratory, Zhejiang Hospital, Hangzhou, China.

Abstract

Gonorrhea is a sexually transmitted disease caused by the host-adapted human pathogen, . The morbidity is increasing and poses a major public health concern, especially in resource-scarce regions. Therefore, a rapid, visual, sensitive, specific, cost-saving, and simple assay for detection is critical for prompt treatment and the prevention of further transmission. Here, for the first time, we report a novel assay called the multiple cross displacement amplification combined with gold nanoparticle-based lateral flow biosensor (MCDA-LFB), which we constructed for the rapid and visual identification of in clinical samples. We successfully devised a set of MCDA primers based on the -specific gene, . Optimal assay conditions were determined at 67°C, including genomic DNA preparation (∼15 min), MCDA amplification (30 min), and LFB reading (∼2 min), which can be completed within 50 min. The limit of detection (LoD) of the assay was 20 copies/test (in a 25-μl reaction mixture). Assay specificity was 100%, with no cross-reactions with other pathogens. Thus, our -MCDA-LFB is a rapid, specific, visual, cost-saving, and easy-to-use assay for diagnostics, and may have great potential for point-of-care (POC) testing in clinical settings, especially in resource-limited regions.

Keywords

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Word Cloud

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