1
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Kresse J, Georgi M, Hübner R, Eychmüller A. Structural investigations of Au-Ni aerogels: morphology and element distribution. NANOSCALE ADVANCES 2023; 5:5487-5498. [PMID: 37822903 PMCID: PMC10563840 DOI: 10.1039/d3na00359k] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 09/11/2023] [Indexed: 10/13/2023]
Abstract
The physical properties of nanomaterials are determined by their structural features, making accurate structural control indispensable. This carries over to future applications. In the case of metal aerogels, highly porous networks of aggregated metal nanoparticles, such precise tuning is still largely pending. Although recent improvements in controlling synthesis parameters like electrolytes, reductants, or mechanical stirring, the focus has always been on one particular morphology at a time. Meanwhile, complex factors, such as morphology and element distributions, are studied rather sparsely. We demonstrate the capabilities of precise morphology design by deploying Au-Ni, a novel element combination for metal aerogels in itself, as a model system to combine common aerogel morphologies under one system for the first time. Au-Ni aerogels were synthesized via modified one- and two-step gelation, partially combined with galvanic replacement, to obtain aerogels with alloyed, heterostructural (novel metal aerogel structure of interconnected nanoparticles and nanochains), and hollow spherical building blocks. These differences in morphology are directly reflected in the physisorption behavior, linking the isotherm shape and pore size distribution to the structural features of the aerogels, including a broad-ranging specific surface area (35-65 m2 g-1). The aerogels were optimized regarding metal concentration, destabilization, and composition, revealing some delicate structural trends regarding the ligament size and hollow sphere character. Hence, this work significantly improves the structural tailoring of metal aerogels and possible up-scaling. Lastly, preliminary ethanol oxidation tests demonstrated that morphology design extends to the catalytic performance. All in all, this work emphasizes the strengths of morphology design to obtain optimal structures, properties, and (performances) for any material application.
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Affiliation(s)
- Johannes Kresse
- Physical Chemistry, TU Dresden Zellescher Weg 19 Dresden 01069 Germany
| | - Maximilian Georgi
- Physical Chemistry, TU Dresden Zellescher Weg 19 Dresden 01069 Germany
| | - René Hübner
- Institute of Ion Beam Physics and Materials Research, Helmholtz-Zentrum Dresden-Rossendorf e.V. Dresden 01328 Germany
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2
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Del Real Mata C, Jeanne O, Jalali M, Lu Y, Mahshid S. Nanostructured-Based Optical Readouts Interfaced with Machine Learning for Identification of Extracellular Vesicles. Adv Healthc Mater 2023; 12:e2202123. [PMID: 36443009 DOI: 10.1002/adhm.202202123] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 11/14/2022] [Indexed: 11/30/2022]
Abstract
Extracellular vesicles (EVs) are shed from cancer cells into body fluids, enclosing molecular information about the underlying disease with the potential for being the target cancer biomarker in emerging diagnosis approaches such as liquid biopsy. Still, the study of EVs presents major challenges due to their heterogeneity, complexity, and scarcity. Recently, liquid biopsy platforms have allowed the study of tumor-derived materials, holding great promise for early-stage diagnosis and monitoring of cancer when interfaced with novel adaptations of optical readouts and advanced machine learning analysis. Here, recent advances in labeled and label-free optical techniques such as fluorescence, plasmonic, and chromogenic-based systems interfaced with nanostructured sensors like nanoparticles, nanoholes, and nanowires, and diverse machine learning analyses are reviewed. The adaptability of the different optical methods discussed is compared and insights are provided into prospective avenues for the translation of the technological approaches for cancer diagnosis. It is discussed that the inherent augmented properties of nanostructures enhance the sensitivity of the detection of EVs. It is concluded by reviewing recent integrations of nanostructured-based optical readouts with diverse machine learning models as novel analysis ventures that can potentially increase the capability of the methods to the point of translation into diagnostic applications.
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Affiliation(s)
| | - Olivia Jeanne
- McGill University, Department of Bioengineering, Montreal, QC, H3A 0E9, Canada
| | - Mahsa Jalali
- McGill University, Department of Bioengineering, Montreal, QC, H3A 0E9, Canada
| | - Yao Lu
- McGill University, Department of Bioengineering, Montreal, QC, H3A 0E9, Canada
| | - Sara Mahshid
- McGill University, Department of Bioengineering, Montreal, QC, H3A 0E9, Canada
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3
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Wang Q, Lv L, Chi W, Bai Y, Gao W, Zhu P, Yu J. Porphyrin-Based Covalent Organic Frameworks with Donor-Acceptor Structure for Enhanced Peroxidase-like Activity as a Colorimetric Biosensing Platform. BIOSENSORS 2023; 13:188. [PMID: 36831954 PMCID: PMC9953433 DOI: 10.3390/bios13020188] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 01/23/2023] [Accepted: 01/23/2023] [Indexed: 06/18/2023]
Abstract
Hydrogen peroxide (H2O2) and glucose play a key role in many cellular signaling pathways. The efficient and accurate in situ detection of H2O2 released from living cells has attracted extensive research interests. Herein, a new porphyrin-based porous covalent organic framework (TAP-COF) was fabricated via one-step condensation of 1,6,7,12-tetrachloroperylene tetracarboxylic acid dianhydride and 5,10,15,20-tetrakis (4-aminophenyl)porphyrin iron(III). The obtained TAP-COF has high surface areas, abundant surface catalytic active sites, and highly effective electron transport due to its precisely controllable donor-acceptor arrangement and 3D porous structure. Then, the new TAP-COF exhibited excellent peroxidase-like catalytic activity, which could effectively catalyze oxidation of the substrate 3,3',5,5'-tetramethylbenzidine by H2O2 to produce a typical blue-colored reaction. On this basis, simple, rapid and selective colorimetric methods for in situ H2O2 detection were developed with the detection limit of 2.6 nM in the wide range of 0.01 to 200 μM. The colorimetric approach also could be used for in situ detection of H2O2 released from living MCF-7 cells. This portable sensor based on a COF nanozyme not only opens a new path for point-of-care testing, but also has potential applications in the field of cell biology and clinical diagnosis.
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Affiliation(s)
- Qian Wang
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China
| | - Liang Lv
- Jinan Agricultural Product Quality and Safety Center, Jinan 250316, China
| | - Wenhao Chi
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China
| | - Yujiao Bai
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China
| | - Wenqing Gao
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China
| | - Peihua Zhu
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China
| | - Jinghua Yu
- School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, China
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4
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Amatatongchai M, Nontawong N, Ngaosri P, Chunta S, Wanram S, Jarujamrus P, Nacapricha D, Lieberzeit PA. Facile and Compact Electrochemical Paper-Based Analytical Device for Point-of-Care Diagnostic of Dual Carcinogen Oxidative Stress Biomarkers through a Molecularly Imprinted Polymer Coated on Graphene Quantum-Dot Capped Gold. Anal Chem 2022; 94:16692-16700. [DOI: 10.1021/acs.analchem.2c03120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Affiliation(s)
- Maliwan Amatatongchai
- Department of Chemistry and Center of Excellence for Innovation in Chemistry, Faculty of Science, Ubon Ratchathani University, Ubon Ratchathani 34190, Thailand
| | - Nongyao Nontawong
- Department of Chemistry and Center of Excellence for Innovation in Chemistry, Faculty of Science, Ubon Ratchathani University, Ubon Ratchathani 34190, Thailand
| | - Pattanun Ngaosri
- Department of Chemistry and Center of Excellence for Innovation in Chemistry, Faculty of Science, Ubon Ratchathani University, Ubon Ratchathani 34190, Thailand
| | | | - Surasak Wanram
- Biomedical Science Research Unit, College of Medicine and Public Health, Ubon Ratchathani University, Ubon Ratchathani 34190, Thailand
| | - Purim Jarujamrus
- Department of Chemistry and Center of Excellence for Innovation in Chemistry, Faculty of Science, Ubon Ratchathani University, Ubon Ratchathani 34190, Thailand
| | - Duangjai Nacapricha
- Department of Chemistry and Center of Excellence for Innovation in Chemistry, Faculty of Science, Mahidol University, Bangkok 10400, Thailand
| | - Peter A. Lieberzeit
- Faculty for Chemistry, Department of Physical Chemistry, University of Vienna, 1090 Vienna, Austria
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5
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Xing Z, Zhang S, Wang H, Ma H, Wu D, Fan D, Ren X, Wei Q, Ju H. Addressable Label-Free Photoelectric Sensor Array with Self-Calibration for Detection of Neuron Specific Enolase. Anal Chem 2022; 94:6996-7003. [PMID: 35512395 DOI: 10.1021/acs.analchem.1c05577] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
An addressable label-free photoelectric immunosensor array was designed for detection of neuron specific enolase (NSE) based on TiO2/CdS as substrate materials. In this work, the hydrothermal synthesized TiO2 nanorod film is evenly grown on the surface of the fluorine-doped tin oxide (FTO), and then CdS with a narrow band gap is added for sensitization through successive ionic layer adsorption reactions. The obtained TiO2/CdS composite materials with matched energy band structures promote the rapid electron transfer and effectively reduce the recombination of electron hole pairs, which greatly enhance the visible light absorption and increased photocurrent intensity. In order to construct a suitable sensor array, the sensitized FTO electrode is divided into multiple regions of equal size by insulating stickers, and then the addressable and continuous detection of multiple samples can be achieved. Because multiple detection regions are prepared and tested under the same conditions, the difference effectively reduces, and the sensor can realize self-calibration and obtain more accurate results. Under optimal conditions, this sensor array can detect NSE in the linear range of 0.01-100 ng mL-1 with a detection limit of 2.49 pg mL-1 (S/N = 3). The sensor array has good selectivity, stability, and reproducibility, making it a viable approach for real sample detection.
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Affiliation(s)
- Zhenyuan Xing
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, Shandong, P.R. China
| | - Shuo Zhang
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, Shandong, P.R. China
| | - Huan Wang
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, Shandong, P.R. China
| | - Hongmin Ma
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, Shandong, P.R. China
| | - Dan Wu
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, Shandong, P.R. China
| | - Dawei Fan
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, Shandong, P.R. China
| | - Xiang Ren
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, Shandong, P.R. China
| | - Qin Wei
- Collaborative Innovation Center for Green Chemical Manufacturing and Accurate Detection, Key Laboratory of Interfacial Reaction & Sensing Analysis in Universities of Shandong, School of Chemistry and Chemical Engineering, University of Jinan, Jinan 250022, Shandong, P.R. China
| | - Huangxian Ju
- State Key Laboratory of Analytical Chemistry for Life Science, Department of Chemistry, Nanjing University, Nanjing 210023, P.R. China
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6
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Riaz MA, Chen Y. Electrodes and electrocatalysts for electrochemical hydrogen peroxide sensors: a review of design strategies. NANOSCALE HORIZONS 2022; 7:463-479. [PMID: 35289828 DOI: 10.1039/d2nh00006g] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
H2O2 sensing is required in various biological and industrial applications, for which electrochemical sensing is a promising choice among various sensing technologies. Electrodes and electrocatalysts strongly influence the performance of electrochemical H2O2 sensors. Significant efforts have been devoted to electrode nanostructural designs and nanomaterial-based electrocatalysts. Here, we review the design strategies for electrodes and electrocatalysts used in electrochemical H2O2 sensors. We first summarize electrodes in different structures, including rotation disc electrodes, freestanding electrodes, all-in-one electrodes, and representative commercial H2O2 probes. Next, we discuss the design strategies used in recent studies to increase the number of active sites and intrinsic activities of electrocatalysts for H2O2 redox reactions, including nanoscale pore structuring, conductive supports, reducing the catalyst size, alloying, doping, and tuning the crystal facets. Finally, we provide our perspectives on the future research directions in creating nanoscale structures and nanomaterials to enable advanced electrochemical H2O2 sensors in practical applications.
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Affiliation(s)
- Muhammad Adil Riaz
- School of Chemical and Biomolecular Engineering, The University of Sydney, Darlington, NSW, 2006, Australia.
| | - Yuan Chen
- School of Chemical and Biomolecular Engineering, The University of Sydney, Darlington, NSW, 2006, Australia.
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7
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Del Real Mata C, Siavash Moakhar R, Hosseini II, Jalali M, Mahshid S. A nanostructured microfluidic device for plasmon-assisted electrochemical detection of hydrogen peroxide released from cancer cells. NANOSCALE 2021; 13:14316-14329. [PMID: 34477715 DOI: 10.1039/d0nr07608b] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/13/2023]
Abstract
Non-invasive liquid biopsies offer hope for a rapid, risk-free, real-time glimpse into cancer diagnostics. Recently, hydrogen peroxide (H2O2) was identified as a cancer biomarker due to its continued release from cancer cells compared to normal cells. The precise monitoring and quantification of H2O2 are hindered by its low concentration and the limit of detection (LOD) in traditional sensing methods. Plasmon-assisted electrochemical sensors with their high sensitivity and low LOD make a suitable candidate for effective detection of H2O2, yet their electrical properties need to be improved. Here, we propose a new nanostructured microfluidic device for ultrasensitive, quantitative detection of H2O2 released from cancer cells in a portable fashion. The fluidic device features a series of self-organized gold nanocavities, enhanced with graphene nanosheets having optoelectrical properties, which facilitate the plasmon-assisted electrochemical detection of H2O2 released from human cells. Remarkably, the device can successfully measure the released H2O2 from breast cancer (MCF-7) and prostate cancer (PC3) cells in human plasma. Briefly, direct amperometric detection of H2O2 under simulated visible light illumination showed a superb LOD of 1 pM in a linear range of 1 pM-10 μM. We thoroughly studied the formation of self-organized plasmonic nanocavities on gold electrodes via surface and photo-electrochemical characterization techniques. In addition, the finite-difference time domain (FDTD) simulation of the electric field demonstrates the intensity of charge distribution at the nanocavity structure edges under visible light illumination. The superb LOD of the proposed electrode combining gold plasmonic nanocavities and graphene sheets paves the way for the development of non-invasive plasmon-assisted electrochemical sensors that can effectively detect low concentrations of H2O2 released from cancer cells.
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8
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Khairullina E, Tumkin II, Stupin DD, Smikhovskaia AV, Mereshchenko AS, Lihachev AI, Vasin AV, Ryazantsev MN, Panov MS. Laser-Assisted Surface Modification of Ni Microstructures with Au and Pt toward Cell Biocompatibility and High Enzyme-Free Glucose Sensing. ACS OMEGA 2021; 6:18099-18109. [PMID: 34308043 PMCID: PMC8296552 DOI: 10.1021/acsomega.1c01880] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/09/2021] [Accepted: 06/16/2021] [Indexed: 05/10/2023]
Abstract
We investigated the influence of morphology of Ni microstructures modified with Au and Pt on their cell biocompatibility and electrocatalytic activity toward non-enzymatic glucose detection. Synthesis and modification were carried out using a simple and inexpensive approach based on the method of laser-induced deposition of metal microstructures from a solution on the surface of various dielectrics. Morphological analysis of the fabricated materials demonstrated that the surface of the Ni electrode has a hierarchical structure with large-scale 10 μm pores and small-scale 10 nm irregularities. In turn, the Ni-Pt surface has large-scale cavities, small-scale pores (1-1.5 μm), and a few tens of nanometer particles opposite to Ni-Au that reveals no obvious hierarchical structure. These observations were supported by impedance spectroscopy confirming the hierarchy of the surface topography of Ni and Ni-Pt structures. We tested the biocompatibility of the fabricated Ni-based electrodes with the HeLa cells. It was shown that the Ni-Au electrode has a much better cell adhesion than Ni-Pt with a more complex morphology. On the contrary, porous Ni and Ni-Pt electrodes with a more developed surface area than that of Ni-Au have better catalytic performance toward enzymeless glucose sensing, revealing greater sensitivity, selectivity, and stability. In this regard, modification of Ni with Pt led to the most prominent results providing rather good glucose detection limits (0.14 and 0.19 μA) and linear ranges (10-300 and 300-1500 μA) as well as the highest sensitivities of 18,570 and 2929 μA mM-1 cm-2. We also proposed some ideas to clarify the observed behavior and explain the influence of morphology of the fabricated electrodes on their electrocatalytic activity and biocompatibility.
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Affiliation(s)
| | - Ilya I. Tumkin
- Saint
Petersburg State University, 7/9 Universitetskaya nab., St. Petersburg 199034, Russia
| | - Daniil D. Stupin
- Nanotechnology
Research and Education Centre RAS, Saint
Petersburg Academic University, 8/3 Khlopina Street, St. Petersburg 194021, Russia
| | | | - Andrey S. Mereshchenko
- Saint
Petersburg State University, 7/9 Universitetskaya nab., St. Petersburg 199034, Russia
| | - Alexey I. Lihachev
- Ioffe
Institute, 26 Politekhnicheskaya, St. Petersburg 194021, Russian Federation
| | - Andrey V. Vasin
- Peter
the Great St. Petersburg Polytechnic University, 29 Polytechnicheskaya Str, 195251 St. Petersburg, Russia
| | - Mikhail N. Ryazantsev
- Saint
Petersburg State University, 7/9 Universitetskaya nab., St. Petersburg 199034, Russia
- Nanotechnology
Research and Education Centre RAS, Saint
Petersburg Academic University, 8/3 Khlopina Street, St. Petersburg 194021, Russia
| | - Maxim S. Panov
- Saint
Petersburg State University, 7/9 Universitetskaya nab., St. Petersburg 199034, Russia
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9
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Sun M, Shen G, Bai Z, Zhang H, Liu H, Liang X. Electrochemical Determination of Hydrogen Peroxide Using a Horseradish Peroxidase (HRP) Modified Gold–Nickel Alloy Nanoparticles Glassy Carbon Electrode (GCE). ANAL LETT 2021. [DOI: 10.1080/00032719.2021.1878367] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/22/2022]
Affiliation(s)
- Mengmeng Sun
- Tianjin Key Laboratory of Food and Biotechnology, Tianjin University of Commerce, Tianjin, China
- School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, China
| | - Guodong Shen
- Tianjin Key Laboratory of Food and Biotechnology, Tianjin University of Commerce, Tianjin, China
- School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, China
| | - Zhengchen Bai
- Tianjin Key Laboratory of Food and Biotechnology, Tianjin University of Commerce, Tianjin, China
- School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, China
| | - Hongqing Zhang
- Tianjin Key Laboratory of Food and Biotechnology, Tianjin University of Commerce, Tianjin, China
- School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, China
| | - Haiyan Liu
- Tianjin Key Laboratory of Food and Biotechnology, Tianjin University of Commerce, Tianjin, China
- School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, China
| | - Xinyi Liang
- Tianjin Key Laboratory of Food and Biotechnology, Tianjin University of Commerce, Tianjin, China
- School of Biotechnology and Food Science, Tianjin University of Commerce, Tianjin, China
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10
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Zhang N, Shen Y, Pang G, Chu S, Han W, Mei Q, Hu X, Dong F, Shen Y, Zhao T. Ratiometric fluorescent nanosensor for dosage-sensitive visual discrimination of glucose based on electron transfer mechanism. Microchem J 2020. [DOI: 10.1016/j.microc.2020.105188] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
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11
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Zhang C, Liu X, Xu Z, Liu D. Multichannel Stimulus-Responsive Nanoprobes for H2O2 Sensing in Diverse Biological Milieus. Anal Chem 2020; 92:12639-12646. [DOI: 10.1021/acs.analchem.0c02769] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Affiliation(s)
- Cai Zhang
- College of Chemistry, Research Center for Analytical Sciences, State Key Laboratory of Medicinal Chemical Biology, and Tianjin Key Laboratory of Molecular Recognition and Biosensing, Nankai University, Tianjin 300071, China
| | - Xinzhuo Liu
- College of Chemistry, Research Center for Analytical Sciences, State Key Laboratory of Medicinal Chemical Biology, and Tianjin Key Laboratory of Molecular Recognition and Biosensing, Nankai University, Tianjin 300071, China
| | - Zhiwen Xu
- College of Chemistry, Research Center for Analytical Sciences, State Key Laboratory of Medicinal Chemical Biology, and Tianjin Key Laboratory of Molecular Recognition and Biosensing, Nankai University, Tianjin 300071, China
| | - Dingbin Liu
- College of Chemistry, Research Center for Analytical Sciences, State Key Laboratory of Medicinal Chemical Biology, and Tianjin Key Laboratory of Molecular Recognition and Biosensing, Nankai University, Tianjin 300071, China
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12
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Qing M, Chen SL, Han L, Yang YZ, Luo HQ, Li NB. Three–dimensional donor–acceptor–type photoactive material/conducting polyaniline hydrogel complex for sensitive photocathodic enzymatic bioanalysis. Biosens Bioelectron 2020; 158:112179. [DOI: 10.1016/j.bios.2020.112179] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Revised: 03/24/2020] [Accepted: 03/26/2020] [Indexed: 12/14/2022]
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13
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Yang Y, Liang J, Jin W, Li Y, Xuan M, Wang S, Sun X, Chen C, Zhang J. The design and growth of peanut-like CuS/BiVO4 composites for photoelectrochemical sensing. RSC Adv 2020; 10:14670-14678. [PMID: 35497162 PMCID: PMC9051948 DOI: 10.1039/d0ra01307b] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 03/18/2020] [Indexed: 01/14/2023] Open
Abstract
In this study, the CuS/BiVO4-X (where X represents the mass percentage of CuS associated with CuS/BiVO4; X = 2%, 5% and 7%) p–n heterostructures were fabricated using a two-step hydrothermal method.
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Affiliation(s)
- Yang Yang
- Clinical Bioinformatics Experimental Center
- Henan Provincial People's Hospital
- People's Hospital of Zhengzhou University
- Zhengzhou
- China
| | - Junting Liang
- Clinical Bioinformatics Experimental Center
- Henan Provincial People's Hospital
- People's Hospital of Zhengzhou University
- Zhengzhou
- China
| | - Wenwen Jin
- Medical Engineering Technology and Data Mining Institute of Zhengzhou University
- Zhengzhou
- China
| | - Yingyue Li
- Medical Engineering Technology and Data Mining Institute of Zhengzhou University
- Zhengzhou
- China
| | - Menghui Xuan
- Medical Engineering Technology and Data Mining Institute of Zhengzhou University
- Zhengzhou
- China
| | - Shijie Wang
- Medical Engineering Technology and Data Mining Institute of Zhengzhou University
- Zhengzhou
- China
| | - Xiaoqian Sun
- Medical Engineering Technology and Data Mining Institute of Zhengzhou University
- Zhengzhou
- China
| | - Chuanliang Chen
- Clinical Bioinformatics Experimental Center
- Henan Provincial People's Hospital
- People's Hospital of Zhengzhou University
- Zhengzhou
- China
| | - Jianhua Zhang
- Medical Engineering Technology and Data Mining Institute of Zhengzhou University
- Zhengzhou
- China
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