Evidence map›Paper›PMID 31758334›Full record

ArticleMikrochimica acta2019

Sensitive and selective fluorometric determination of DNA by using layered hexagonal nanosheets of a covalent organic framework prepared from p-phenylenediamine and benzene-1,3,5-tricarboxaldehyde.

Tapas Kumar Mandal, Nargish Parvin, Kanchan Mishra, Sonaimuthu Mohandoss, Yong Rok Lee

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Article in Mikrochimica acta, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Tapas Kumar MandalSchool of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, Republic of Korea. tps.mndl@gamil.com.
Nargish ParvinState Key Laboratory of Biochemical Engineering, CAS Center for Excellence in Nanoscience, Institute of Process Engineering, Chinese Academy of Sciences, No. 1 Beiertiao, Zhongguancun, Beijing, 100190, People's Republic of China.
Kanchan MishraSchool of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
Sonaimuthu MohandossSchool of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, Republic of Korea.
Yong Rok LeeSchool of Chemical Engineering, Yeungnam University, Gyeongsan, 38541, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A modified method is described for the preparation of amino-functionalized covalent organic framework nanosheets (COF-NSs). These consist of hexagonal layered sheets and were prepared from commercially available starting materials (p-phenylenediamine and benzene-1,3,5-tricarboxaldehyde). The interlayer stacking interactions between the ultra-thin COF-NSs became weak because the π stacking is destroyed by sonication. This result in the exfoliation of COF-NSs. As an application, the COF-NSs used for sensitive and selective fluorometric determination of DNA. To reach this goal, H1 and H2 hairpin-like DNA probes were chosen; H1 used Texas Red-labeled dye as a fluorescent probe. The addition of the COF-NSs, the hairpin probes was adsorbed onto the porous surface of the COFNSs. The π stacking and hydrogen-bond interactions between COFNSs and nucleic acid quench the fluorescence of the Texas red-labeled probe. The target DNA enables the recovery of the quenched fluorescence of the Texas red-labelled probe by triggering an inter-chain hybridization within hairpin probes. This results in a weaker interaction of double-stranded DNA (dsDNA) with the COFNSs. Consequently, the dsDNA detaches from the COFNSs, thereby recovering the dye's fluorescence (excitation/emission maxima at 590/612 nm) with increasing target DNA concentration. The findings were applied to design a method for the determination of DNA that has a 2 pM detection limit. This is significantly lower than the limit of detection reported previously for 2D nanomaterial-based fluorometric DNA assays. Graphical abstractSchematic representation of 2D-covalent organic framework nanosheets (COF-NSs) probe act as a quencher allowing the highly sensitive and selective fluorescence turn-on detection for biomolecules. Here the H1 H2 are hairpin DNAs. H1 is associated with the fluorescent tag (red circle), while the "fluorescence off" state it denoted as a black circle.

Indexed as

FluorometryAldehydesBiosensing TechniquesDNAHumansMetal-Organic FrameworksMolecular ProbesMolecular StructureNanoparticlesNucleic Acid Amplification TechniquesParticle SizePhenylenediaminesSensitivity and SpecificitySurface Properties4-phenylenediamineAldehydesbenzene-1,3,5-tricarboxaldehydeDNAMetal-Organic FrameworksMolecular ProbesPhenylenediaminesBiomarkerBiomoleculesBondDiagnosticsDiseasesFluorescencePorous nanomaterialsSensorSignalTarget

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.