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Zhang T, Huang C, Jiao Y, Shao L, Jiang D, Li F, Li W, Gao X. ICP-MS and fluorescence dual-mode detection of ZIKV-RNA based on quantum dot labeling with hybridization chain reaction. Talanta 2024; 269:125463. [PMID: 38016323 DOI: 10.1016/j.talanta.2023.125463] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2023] [Revised: 10/04/2023] [Accepted: 11/21/2023] [Indexed: 11/30/2023]
Abstract
The detection of Zika virus (ZIKV) is of great significance to human life and health. Herein, we presented an ICP-MS and fluorescent dual-mode sensor for quantitative analysis of Zika virus RNA fragments (ZIKV-RNA), which employed quantum dots (QDs) as signal tags and combined with hybridization chain reaction (HCR). The dual-mode sensor realized cross-checking of the analysis results and improved the assay accuracy. Firstly, the single-stranded DNA (ssDNA) was anchored on the surface of magnetic beads (MBs). Afterward, HCR was conducted with probe DNA-CdSe quantum dots conjugates (pDNA-QDs) and link DNA (lDNA), producing the MBs-ssDNA-[pDNA-QDs-lDNA]n conjugates. In the presence of target ZIKV-RNA, a strand displacement reaction occurred, leading to the dissociation of the [pDNA-QDs-lDNA]n labels from the conjugates into the solution. Finally, the signal intensity was detected using ICP-MS and fluorescence analysis, with achieved limits of detection of 131 pM and 152 pM, respectively. The inter-assay RSD values of fluorescence and ICP-MS were 3.94 % and 4.26 % at 10 nM level, respectively, showing that the method had good precision. This method showed high selectivity and was applied to the analysis of biological fluids. There was no significant difference between the results of ICP-MS modes and fluorescence mode. This method offers a new strategy for sensitivity analysis of ZIKV-RNA and exhibits promise in clinical applications for diagnosis.
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Affiliation(s)
- Tianran Zhang
- Shandong Academy of Preventive Medicine, Shandong Center for Food Safety Risk Assessment, Shandong Center for Disease Control and Prevention, Jinan, 250000, People's Republic of China; Department of Physical and Chemical Inspection, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250000, People's Republic of China; Yantai Center for Disease Control and Prevention, Yantai, 264000, People's Republic of China
| | - Chao Huang
- Department of Pharmacy, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, People's Republic of China
| | - Yanni Jiao
- Shandong Academy of Preventive Medicine, Shandong Center for Food Safety Risk Assessment, Shandong Center for Disease Control and Prevention, Jinan, 250000, People's Republic of China; Department of Physical and Chemical Inspection, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250000, People's Republic of China
| | - Lijun Shao
- Shandong Academy of Preventive Medicine, Shandong Center for Food Safety Risk Assessment, Shandong Center for Disease Control and Prevention, Jinan, 250000, People's Republic of China
| | - Dafeng Jiang
- Shandong Academy of Preventive Medicine, Shandong Center for Food Safety Risk Assessment, Shandong Center for Disease Control and Prevention, Jinan, 250000, People's Republic of China; Department of Physical and Chemical Inspection, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250000, People's Republic of China.
| | - Fenghua Li
- Shandong Academy of Preventive Medicine, Shandong Center for Food Safety Risk Assessment, Shandong Center for Disease Control and Prevention, Jinan, 250000, People's Republic of China
| | - Wei Li
- Shandong Academy of Preventive Medicine, Shandong Center for Food Safety Risk Assessment, Shandong Center for Disease Control and Prevention, Jinan, 250000, People's Republic of China
| | - Xibao Gao
- Department of Physical and Chemical Inspection, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250000, People's Republic of China.
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Huang X, Liu H, Lu D, Lin Y, Liu J, Liu Q, Nie Z, Jiang G. Mass spectrometry for multi-dimensional characterization of natural and synthetic materials at the nanoscale. Chem Soc Rev 2021; 50:5243-5280. [PMID: 33656017 DOI: 10.1039/d0cs00714e] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Characterization of materials at the nanoscale plays a crucial role in in-depth understanding the nature and processes of the substances. Mass spectrometry (MS) has characterization capabilities for nanomaterials (NMs) and nanostructures by offering reliable multi-dimensional information consisting of accurate mass, isotopic, and molecular structural information. In the last decade, MS has emerged as a powerful nano-characterization technique. This review comprehensively summarizes the capabilities of MS in various aspects of nano-characterization that greatly enrich the toolbox of nano research. Compared with other characterization techniques, MS has unique capabilities for real-time monitoring and tracking reaction intermediates and by-products. Moreover, MS has shown application potential in some novel aspects, such as MS imaging of the biodistribution and fate of NMs in animals and humans, stable isotopic tracing of NMs, and risk assessment of NMs, which deserve update and integration into the current knowledge framework of nano-characterization.
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Affiliation(s)
- Xiu Huang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. and University of Chinese Academy of Sciences, Beijing 100049, China
| | - Huihui Liu
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
| | - Dawei Lu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
| | - Yue Lin
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
| | - Jingfu Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. and University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qian Liu
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. and University of Chinese Academy of Sciences, Beijing 100049, China and Institute of Environment and Health, Jianghan University, Wuhan 430056, China
| | - Zongxiu Nie
- University of Chinese Academy of Sciences, Beijing 100049, China and Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
| | - Guibin Jiang
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China. and University of Chinese Academy of Sciences, Beijing 100049, China
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