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Polydimethylsiloxane-Paper Hybrid Lateral Flow Assay for Highly Sensitive Point-of-Care Nucleic Acid Testing

机译:用于高灵敏度现场照护核酸测试的聚二甲基硅氧烷-纸杂化侧向流动测定

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In nucleic acid testing (NAT), gold nanoparticle (AuNP)-based lateral flow assays (LFAs) have received significant attention due to their cost-effectiveness, rapidity, and the ability to produce a simple colorimetric readout. However, the poor sensitivity of AuNP-based LFAs limits its widespread applications. Even though various efforts have been made to improve the assay sensitivity, most methods are inappropriate for integration into LFA for sample-to-answer NAT at the point-of-care (POC)., usually due to the complicated fabrication processes or incompatible chemicals used. To address this, we propose a novel strategy of integrating a simple fluidic control strategy into LFA. The strategy involves incorporating a piece of paper based shunt and a polydimethylsiloxane (PDMS) barrier to the strip to achieve optimum fluidic delays for LFA signal enhancement, resulting in 10-fold signal enhancement over unmodified LFA. The phenomena of fluidic delay were also evaluated by mathematical simulation, through which we found the movement of fluid throughout the shunt and the tortuosity effects in the presence of PDMS barrier, which significantly affect the detection sensitivity. To demonstrate the potential of integrating this strategy into a LFA with sample-in-answer-out capability, we further applied this strategy into our prototype sample-to-answer LFA to sensitively detect the Hepatitis B virus (HBV) in clinical blood samples. The proposed strategy offers great potential for highly sensitive detection of various targets for wide application in the near future.
机译:在核酸测试(NAT)中,基于金纳米颗粒(AuNP)的侧向流动测定(LFA)由于其成本效益,快速性和产生简单比色读数的能力而受到了广泛关注。但是,基于AuNP的LFA的敏感性差,限制了其广泛的应用。尽管已进行了各种努力来提高测定灵敏度,但大多数方法都不适合在即时医疗点(POC)集成到LFA中以进行样品到答案的NAT,这通常是由于复杂的制造过程或不兼容的化学品用过的。为了解决这个问题,我们提出了一种将简单的流体控制策略集成到LFA中的新颖策略。该策略包括将一块纸基分流器和聚二甲基硅氧烷(PDMS)屏障结合到带材上,以实现LFA信号增强的最佳流体延迟,从而使信号强度比未修饰的LFA增强10倍。流体延迟现象也通过数学模拟进行了评估,通过该模拟我们发现在PDMS屏障的存在下,流体在整个分流管中的运动和曲折效应,大大影响了检测灵敏度。为了证明将这种策略整合到具有进样输出功能的LFA中的潜力,我们进一步将此策略应用于我们的原型从样品到应答LFA中,以灵敏地检测临床血液样本中的乙型肝炎病毒(HBV)。所提出的策略为在不久的将来高度敏感地检测各种目标提供了广阔的潜力。

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