2021
DOI: 10.1021/acs.analchem.0c05444
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A Homogeneous Multicomponent Nucleic Acid Enzyme Assay for Universal Nucleic Acid Detection by Single-Particle Inductively Coupled Plasma Mass Spectrometry

Abstract: Single-particle inductively coupled plasma mass spectrometry (SP-ICP-MS) has great potential for sensitive analysis of nucleic acids; however, it usually requires separation of target-induced nanoparticle reporters, and the sequence of probes on nanoparticle reporters has to be tuned for each target accordingly. Here, we developed a homogeneous multicomponent nucleic acid enzyme (MNAzyme) assay for universal nucleic acid detection. The two components of MNAzyme contain target recognition sites, substrate bindi… Show more

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Cited by 30 publications
(34 citation statements)
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“…The LOQs and linear range of this method were comparable with those SP-ICP-MS methods. Specifically, since no nucleic acid amplification method was introduced in this method, the LOQs of this method were at the same level as DNA detection assay based on SP-ICP-MS methods [ 20 , 23 ], but higher than that of other SP-ICP-MS methods [ 26 , 27 ] which introduced nucleic acid amplification. Compared with electrochemical methods, the LOQs of the developed method was lower than the method reported in reference [ 31 , 32 ], but slightly higher than the work with nucleic acid amplification involved [ 33 ].…”
Section: Resultsmentioning
confidence: 99%
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“…The LOQs and linear range of this method were comparable with those SP-ICP-MS methods. Specifically, since no nucleic acid amplification method was introduced in this method, the LOQs of this method were at the same level as DNA detection assay based on SP-ICP-MS methods [ 20 , 23 ], but higher than that of other SP-ICP-MS methods [ 26 , 27 ] which introduced nucleic acid amplification. Compared with electrochemical methods, the LOQs of the developed method was lower than the method reported in reference [ 31 , 32 ], but slightly higher than the work with nucleic acid amplification involved [ 33 ].…”
Section: Resultsmentioning
confidence: 99%
“…The preparation of Au NPs and Ag NPs probes was based on our previous work [ 26 ] with slight modifications. Briefly, 10 μL of ammonium acetate buffer solution (500 mmol L -1 with 10 mg mL -1 Tris(2-carboxyethyl)phosphine (TCEP), pH 6.8) was added into 10 μL of SH-CoV-1 and SH-CoV-2 solutions (100 μmol L -1 ), respectively.…”
Section: Methodsmentioning
confidence: 99%
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“…Disease-related microRNAs (miRNAs) are an emerging class of biomarkers for which various ICP-MS based detection methodologies have been described using different amplication strategies and elemental tags. [186][187][188][189] Sandwich hybridization on streptavidin coated microtitre plates was used to detect three target miRNAs with three NP probes (Ag, Au and Pt), quantied by ICP-MS. 186 Improved selectivity, sensitivity and dynamic range was achieved in a multiple-metal-NP-tagging method with hybridization chain reaction amplication. 187 Here, three metal NP probes (Ag, Au and Pd) interacted with one target miRNA and ICP-MS response patterns were interrogated to enhance selectivity compared with other miRNA detection methods.…”
Section: Elements As Tags For Indirect Determinationsmentioning
confidence: 99%
“…Kang et al 188 presented a multiplexed assay using three MNAzymes (multicomponent nucleic acid enzyme) paired with three target miRNAs and three lanthanide tags with MB-DNA probes. In a different MNAzyme-based approach, cleavage of linker DNA by MNAzyme in the presence of target miRNA resulted in smaller AuNP aggregate size detected by spICP-MS. 189 In addition to solution-based immunoassay platforms, elemental tagging with LA-ICP-MS and LIBS has demonstrated potential for quantitative biomarker imaging in different sample types. 96,155,157,190 Quantication and localization of dystrophin in muscle tissue and amyloid beta in mouse brain tissue were achieved using Gd-labelled Abs and AuNP conjugates, respectively, with LA-ICP-MS detection.…”
Section: Elements As Tags For Indirect Determinationsmentioning
confidence: 99%