journal article·2021-07-07

Highly Selective Multiplex Quantitative Polymerase Chain Reaction with a Nanomaterial Composite Hydrogel for Precise Diagnosis of Viral Infection

Jung Min Kim, Seungwon Jung, Eui Ju Jeon, Bong Kyun Kim, Jin Yong No, Myung Jong Kim, Heesuk Kim, Chang Seon Song, Sang Kyung Kim

ACS Applied Materials & Interfaces· Volume 13· Issue 26
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Abstract

As viruses have been threatening global public health, fast diagnosis has been critical to effective disease management and control. Reverse-transcription quantitative polymerase chain reaction (RT-qPCR) is now widely used as the gold standard for detecting viruses. Although a multiplex assay is essential for identifying virus types and subtypes, the poor multiplicity of RT-qPCR makes it laborious and time-consuming. In this paper, we describe the development of a multiplex RT-qPCR platform with hydrogel microparticles acting as independent reactors in a single reaction. To build target-specific particles, target-specific primers and probes are integrated into the particles in the form of noncovalent composites with boron nitride nanotubes (BNNTs) and carbon nanotubes (CNTs). The thermal release characteristics of DNA, primer, and probe from the composites of primer-BNNT and probe-CNT allow primer and probe to be stored in particles during particle production and to be delivered into the reaction. In addition, BNNT did not absorb but preserved the fluorescent signal, while CNT protected the fluorophore of the probe from the free radicals present during particle production. Bicompartmental primer-incorporated network (bcPIN) particles were designed to harness the distinctive properties of two nanomaterials. The bcPIN particles showed a high RT-qPCR efficiency of over 90% and effective suppression of non-specific reactions. 16-plex RT-qPCR has been achieved simply by recruiting differently coded bcPIN particles for each target. As a proof of concept, multiplex one-step RT-qPCR was successfully demonstrated with a simple reaction protocol.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: SARS-CoV-2 detection and testing · Bacteriophages and microbial interactions · Advanced biosensing and bioanalysis techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Molecular Recognition Research Center, Biomedical Research Institute, Korea Institute of Science and Technology (KIST), Seoul 02792, Republic of Korea

Chemical and Biological Engineering, Korea University, Seoul 02841, Republic of Korea

Mechanical Engineering, Korea University, Seoul 02841, Republic of Korea

Biomedical Engineering, KIST School, Korea University of Science and Technology (UST), Daejeon 34113, Republic of Korea

College of Veterinary Medicine, Konkuk University, Seoul 05029, Republic of Korea

Functional Composite Materials Research Center, KIST, Jeonbuk 55324, Republic of Korea

Photo-Electronic Hybrids Research Center, KIST, Seoul 02792, Republic of Korea

Division of Energy and Environmental Technology, KIST School, UST, Daejeon 34113, Republic of Korea

KHU-KIST Department of Converging Science and Technology, Kyung Hee University, Seoul 02447, Republic of Korea

Funding

National Research Council of Science and Technology · National Research Foundation of Korea

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