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Granadeiro CM, Julião D, Ribeiro SO, Cunha-Silva L, Balula SS. Recent advances in lanthanide-coordinated polyoxometalates: from structural overview to functional materials. Coord Chem Rev 2023. [DOI: 10.1016/j.ccr.2022.214914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
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Zhang J, Liu Y, Liu Y, Liu W, Lu F, Yuan Z, Lu C. Gold Nanocluster-Encapsulated Hyperbranched Polyethyleneimine for Selective and Ratiometric Dopamine Analyses by Enhanced Self-Polymerization. Front Chem 2022; 10:928607. [PMID: 35873048 PMCID: PMC9307107 DOI: 10.3389/fchem.2022.928607] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2022] [Accepted: 05/17/2022] [Indexed: 11/13/2022] Open
Abstract
The exploitation of selective and sensitive dopamine (DA) sensors is essential to more deeply understand its biological function and diagnosis of related diseases. In this study, gold nanocluster-encapsulated hyperbranched polyethyleneimine (hPEI-Au NCs) has been explored as the specific and ratiometric DA nanoprobe through hPEI-assisted DA self-polymerization reactions. The Au NCs encapsulation not only provides a fluorescent internal reference but also enhances the DA self-polymerization by weakening the proton sponge effect of the hPEI layer. Rapid and sensitive DA detection is realized through the proposed hPEI-Au NC nanoprobe with a limit of detection of 10 nM. The favorable selectivity over other possible interferents including amino acids, sugars, and salts is due to the specific self-polymerization reaction. The DA analysis in urine samples with small relative standard deviations has been accomplished with an hPEI-Au NC nanoprobe.
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Affiliation(s)
- Jing Zhang
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing University of Chemical Technology, Beijing, China
| | - Ying Liu
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing University of Chemical Technology, Beijing, China
| | - Yang Liu
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing University of Chemical Technology, Beijing, China
| | - Wencai Liu
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing University of Chemical Technology, Beijing, China
| | - Fengniu Lu
- Department of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China
| | - Zhiqin Yuan
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing University of Chemical Technology, Beijing, China
- Beijing Key Laboratory of Plant Resources Research and Development, Beijing Technology and Business University, Beijing, China
- *Correspondence: Zhiqin Yuan, ; Chao Lu,
| | - Chao Lu
- State Key Laboratory of Chemical Resource Engineering, College of Chemistry, Beijing University of Chemical Technology, Beijing, China
- Green Catalysis Center, College of Chemistry, Zhengzhou University, Zhengzhou, China
- *Correspondence: Zhiqin Yuan, ; Chao Lu,
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Hanif S, Muhammad P, Niu Z, Ismail M, Morsch M, Zhang X, Li M, Shi B. Nanotechnology‐Based Strategies for Early Diagnosis of Central Nervous System Disorders. ADVANCED NANOBIOMED RESEARCH 2021. [DOI: 10.1002/anbr.202100008] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Affiliation(s)
- Sumaira Hanif
- Henan-Macquarie University Joint Centre for Biomedical Innovation School of Life Sciences Henan University Kaifeng Henan 475004 China
| | - Pir Muhammad
- Henan-Macquarie University Joint Centre for Biomedical Innovation School of Life Sciences Henan University Kaifeng Henan 475004 China
| | - Zheng Niu
- Province's Key Lab of Brain Targeted Bionanomedicine School of Pharmacy Henan University Kaifeng Henan 475004 China
| | - Muhammad Ismail
- Henan-Macquarie University Joint Centre for Biomedical Innovation School of Life Sciences Henan University Kaifeng Henan 475004 China
| | - Marco Morsch
- Department of Biomedical Sciences Macquarie University Centre for Motor Neuron Disease Research Macquarie University NSW 2109 Australia
| | - Xiaoju Zhang
- Department of Respiratory and Critical Care Medicine Henan Provincial People's Hospital Zhengzhou Henan 450003 China
| | - Mingqiang Li
- Laboratory of Biomaterials and Translational Medicine The Third Affiliated Hospital Sun Yat-sen University Guangzhou Guangdong 510630 China
| | - Bingyang Shi
- Department of Biomedical Sciences Faculty of Medicine & Health & Human Sciences Macquarie University NSW 2109 Australia
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Zhang X, Zhou J, Gu Z, Zhang H, Gong Q, Luo K. Advances in nanomedicines for diagnosis of central nervous system disorders. Biomaterials 2020; 269:120492. [PMID: 33153757 DOI: 10.1016/j.biomaterials.2020.120492] [Citation(s) in RCA: 41] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2020] [Revised: 10/18/2020] [Accepted: 10/23/2020] [Indexed: 02/08/2023]
Abstract
In spite of a great improvement in medical health services and an increase in lifespan, we have witnessed a skyrocket increase in the incidence of central nervous system (CNS) disorders including brain tumors, neurodegenerative diseases (Alzheimer's disease, Parkinson's disease, amyotrophic lateral sclerosis, Huntington's disease), ischemic stroke, and epilepsy, which have seriously undermined the quality of life and substantially increased economic and societal burdens. Development of diagnostic methods for CNS disorders is still in the early stage, and the clinical outcomes suggest these methods are not ready for the challenges associated with diagnosis of CNS disorders, such as early detection, specific binding, sharp contrast, and continuous monitoring of therapeutic interventions. Another challenge is to overcome various barrier structures during delivery of diagnostic agents, especially the blood-brain barrier (BBB). Fortunately, utilization of nanomaterials has been pursued as a potential and promising strategy to address these challenges. This review will discuss anatomical and functional structures of BBB and transport mechanisms of nanomaterials across the BBB, and special emphases will be placed on the state-of-the-art advances in the development of nanomedicines from a variety of nanomaterials for diagnosis of CNS disorders. Meanwhile, current challenges and future perspectives in this field are also highlighted.
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Affiliation(s)
- Xun Zhang
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Jie Zhou
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zhongwei Gu
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Hu Zhang
- Amgen Bioprocessing Centre, Keck Graduate Institute, Claremont, CA, 91711, USA
| | - Qiyong Gong
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Kui Luo
- Huaxi MR Research Center (HMRRC), Department of Radiology, Functional and Molecular Imaging Key Laboratory of Sichuan Province, National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu, 610041, China.
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Zhu H, Gan Z, Li D, Qin J, Zhang H, Wan M, Wu D. Sensitive detection of dopamine with ultrasound cavitation-enhanced fluorescence method. Microchem J 2019. [DOI: 10.1016/j.microc.2019.104199] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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Lv J, Feng S, Ding Y, Chen C, Zhang Y, Lei W, Hao Q, Chen SM. A high-performance fluorescent probe for dopamine detection based on g-C 3N 4 nanofibers. SPECTROCHIMICA ACTA. PART A, MOLECULAR AND BIOMOLECULAR SPECTROSCOPY 2019; 212:300-307. [PMID: 30660062 DOI: 10.1016/j.saa.2019.01.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2018] [Revised: 12/19/2018] [Accepted: 01/04/2019] [Indexed: 06/09/2023]
Abstract
A novel fluorescent sensor based on g-C3N4 nanofibers for the sensitive detection of dopamine (DA) has been proposed. We synthesized g-C3N4 nanofibers by directly hydrolyzing bulk g-C3N4 in the alkaline atmosphere (3 M NaOH). The obtained ultrathin g-C3N4 nanofibers were verified by characterizations of Transmission electronic microscope (TEM), X-ray diffractometer (XRD), Fourier transformation-infrared (FT-IR) and X-ray photoelectron spectroscopy (XPS). It was found that the fluorescence intensity of g-C3N4 nanofibers was obviously quenched by DA. Fluorescence resonance energy transfer (FRET) between DA and g-C3N4 nanofibers led to the fluorescence reduction of g-C3N4 nanofibers. The fluorescent probe based on g-C3N4 nanofibers exhibits linear responses to the concentration of DA in the range from 0 to 4 μM and 4 to 20 μM, the limit of detection is 17 nM. The fluorescent probe shows excellent stability, good selectivity with its application in serums.
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Affiliation(s)
- Jingjing Lv
- School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Shasha Feng
- School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Yong Ding
- School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Chenglong Chen
- School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Yuehua Zhang
- School of Chemistry and Chemical Engineering, Nantong University, Nantong 226007, China
| | - Wu Lei
- School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China.
| | - Qingli Hao
- School of Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
| | - Shen-Ming Chen
- Electroanalysis and Bioelectrochemistry Lab, Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei 10608, Taiwan.
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