一种简单的微流控芯片设计用于DNA检测,使用登革热血清型作为概念验证案例研究

Y.H. Foo , Norhidayah Abu , Rafidah Hanim Shueb , Tuan Nur Akmalina Mat Jusoh , Zuhana Ahmad Zubir , Nur Ellina Azmi , Hamidah Sidek , Leon C.Z. Chan
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引用次数: 0

摘要

登革热是由登革热病毒的四种血清型(DENV-1、DENV-2、DENV-3和DENV-4)中的任何一种引起的,通过蚊虫叮咬传播。由于缺乏针对每种血清型的交叉保护性中和抗体,区分它们非常重要。继发感染也使个体比以前没有感染过的人患严重登革热疾病的风险更高。目前首选的检测方法包括逆转录pcr (RT-PCR)和ELISA。为了能够对登革热血清型进行现场诊断,需要简化检测过程,或至少实现半自动化。我们构想并制作了一个下游检测模块,用于从先前开发的模块化微流控芯片提供的PCR混合物(产物)中检测扩增的DNA,包括样品装载、细胞裂解、RNA提取和RT-PCR。此外,为了确保准确性,每种血清型分析都需要阳性对照、阴性对照和测试样本,这构成了仅一种血清型诊断的3个独立渠道。在本研究中,设计了一种6通道双检测微流控芯片,该芯片采用预加载的稀释剂和花青素染料,样品室用于加载,顺序流体-样品混合,以及集成膜用于从单个驱动源同时(6通道)进行流体操作。阳性样品会将染料从蓝色变为紫色,而阴性对照将保持蓝色。集成膜提供了颜色对比,便于将样品操作到同一视线进行同时分析,为通过智能手机进行自动颜色分析铺平了道路。
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A facile microfluidic chip design for DNA detection using dengue serotypes as a proof-of-concept case study

Dengue fever is caused by any of the four serotypes of dengue viruses, DENV-1, DENV-2, DENV-3 and DENV-4 spread by mosquito bites and is important to distinguish between them due to lack of cross-protective neutralizing antibodies for each serotype. Secondary infections also put individuals at higher risk for severe dengue illness than those who have not been previously infected. Current preferred assays include reverse transcription-PCR (RT-PCR) and ELISA. To enable on-field diagnosis of dengue serotypes, the detection process would need to be simplified or at least semi-automated. A downstream detection module was conceptualized and fabricated to detect the amplified DNA from the provided PCR mix (product) of previously developed modular microfluidic chips involving sample loading, cell lysis, RNA extraction and RT-PCR. Further, to ensure accuracy, each serotype assay necessitates a positive control, negative control and test sample, which constitutes 3 separate channels for the diagnosis of just 1 serotype. In this study, a 6-channel bi-assay microfluidic chip was designed with pre-loaded diluent and cyanine dye, sample chamber for loading, sequential fluidic sample mixing, and integrated membranes for simultaneous (6-channel) fluidic manipulation from a single actuation source. Positive samples will turn the dye from blue to violet while the negative controls will remain blue. The integrated membranes provided color contrast and facilitated the manipulation of the samples to the same line of sight for simultaneous analysis, paving the way for automated color analysis via smartphone.

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