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The Microfluidic Bioagent Autonomous Networked Detector (M-BAND) - an update. Fully integrated, automated, and networked field identification of airborne pathogens

机译:微流体生物制剂自主网络检测器(M-BAND)-更新。空气传播病原体的全面集成,自动化和网络化现场识别

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We describe a fully automated and autonomous air-borne biothreat detection system for biosurveillance applications. The system, including the nucleic-acid-based detection assay, was designed, built and shipped by Microfluidic Systems Inc (MFSI), a new subsidiary of PositivelD Corporation (PSID). Our findings demonstrate that the system and assay unequivocally identify pathogenic strains of Bacillus anthracis, Yersinia pestis, Francisella tularensis, Burkholderia mallei, and Burkholderia pseudomallei. In order to assess the assay's ability to detect unknown samples, our team also challenged it against a series of blind samples provided by the Department of Homeland Security (DHS). These samples included natural occurring isolated strains, near-neighbor isolates, and environmental samples. Our results indicate that the multiplex assay was specific and produced no false positives when challenged with in house gDNA collections and DHS provided panels. Here we present another analytical tool for the rapid identification of nine Centers for Disease Control and Prevention category A and B biothreat organisms.
机译:我们介绍了一种用于生物监视应用程序的全自动和自主式机载生物威胁检测系统。该系统包括基于核酸的检测测定法,由PositiveID公司(PSID)的新子公司Microfluidic Systems Inc(MFSI)设计,制造和运输。我们的发现表明,该系统和测定法明确地鉴定了炭疽芽孢杆菌,鼠疫耶尔森菌,土拉弗朗西斯菌,Mallkholderia mallei和Burkholderia pseudomallei的致病菌株。为了评估该检测方法检测未知样品的能力,我们的团队还针对美国国土安全部(DHS)提供的一系列盲样品提出了质疑。这些样本包括自然发生的分离株,近邻分离株和环境样本。我们的结果表明,多重分析是特异性的,并且在用内部gDNA收集物和DHS提供的检测板进行质询时不会产生假阳性。在这里,我们介绍了另一种分析工具,用于快速识别9个疾病控制和预防中心的A类和B类生物威胁生物。

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