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16S核糖体RNA即时护理磁性聚焦侧向流动传感器

16S rRNA Monitoring Point-of-Care Magnetic Focus Lateral Flow Sensor.

作者信息

Ren Wen, Ahmad Saeed, Irudayaraj Joseph

机构信息

Department of Bioengineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801, United States.

Carle Foundation Hospital, Biomedical Research Center in Mills Breast Cancer Institute, Urbana, Illinois 61801, United States.

出版信息

ACS Omega. 2021 Apr 14;6(16):11095-11102. doi: 10.1021/acsomega.1c01307. eCollection 2021 Apr 27.

Abstract

The detection and profiling of pathogenic bacteria is critical for human health, environmental, and food safety monitoring. Herein, we propose a highly sensitive colorimetric strategy for naked eye screening of 16S ribosomal RNA (16S rRNA) from pathogenic agents relevant to infections, human health, and food safety monitoring with a magnetic focus lateral flow sensor (mLFS) platform. The method developed was demonstrated in model 16S rRNA sequences of the pathogen O157:H7 to detect as low as 1 fM of targets, exhibiting a sensitivity improved by ∼5 × 10 times compared to the conventional GNP-based colorimetric lateral flow assay used for oligonucleotide testing. Based on the grayscale values, semi-quantitation of up to 1 pM of target sequences was possible in ∼45 min. The methodology could detect the target 16S rRNA from as low as 32 pg/mL of total RNA extracted from pathogens. Specificity was demonstrated with total RNA extracted from K-12 MG1655, (), and (). No signal was observed from as high as 320 pg/mL of total RNA from the nontarget bacteria. The recognition of target 16S rRNA from 32 pg/mL of total RNA in complex matrices was also demonstrated. The proposed mLFS method was then extended to monitoring and . Our approach highlights the possibility of extending this concept to screen specific nucleic acid sequences for the monitoring of infectious pathogens or microbiome implicated in a range of diseases including cancer.

摘要

病原菌的检测与分析对于人类健康、环境及食品安全监测至关重要。在此,我们提出一种高灵敏度比色策略,用于通过磁聚焦侧向流动传感器(mLFS)平台对与感染、人类健康及食品安全监测相关的病原体的16S核糖体RNA(16S rRNA)进行肉眼筛查。所开发的方法在病原体O157:H7的模型16S rRNA序列中得到验证,可检测低至1 fM的靶标,与用于寡核苷酸检测的传统基于金纳米粒子的比色侧向流动分析相比,灵敏度提高了约5×10倍。基于灰度值,在约45分钟内可对高达1 pM的靶标序列进行半定量。该方法能够从低至32 pg/mL的病原体提取总RNA中检测到靶标16S rRNA。从K - 12 MG1655、()和()提取的总RNA证明了特异性。来自非靶标细菌高达320 pg/mL的总RNA未观察到信号。还证明了在复杂基质中从32 pg/mL的总RNA中识别靶标16S rRNA。然后将所提出的mLFS方法扩展到监测()和()。我们的方法突出了将这一概念扩展到筛选特定核酸序列以监测包括癌症在内的一系列疾病中涉及的传染性病原体或微生物群的可能性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b55/8153928/c9896a9ccb4c/ao1c01307_0008.jpg

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