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Chen R, Wang Z, Teng Q, Li C, Li J, Zeng L, Zhang R, Huang F, Lei L, Yuan F, Chen D. Binary Host-induced Exciplex Enabled High Color-Rendering Index of 94 for Carbon Quantum Dot-Based White Light-Emitting Diodes. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2404485. [PMID: 38872266 PMCID: PMC11321674 DOI: 10.1002/advs.202404485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/26/2024] [Revised: 05/25/2024] [Indexed: 06/15/2024]
Abstract
White light-emitting diodes (WLEDs) with high color-rendering index (CRI, >90) are important for backlight displays and solid-state lighting applications. Although the well-developed colloidal quantum dots (QDs) based on heavy metals such as cadmium and lead are promising candidates for WLEDs, the low CRI still remains a significant limitation. In addition, the severe toxicity of heavy metals greatly limits their widespread use. Herein, the study demonstrates low-cost and environmentally friendly carbon quantum dots (CQDs)-based WLEDs that exhibit a high CRI of 94.33, surpassing that of conventional cadmium/lead-containing QD-based WLEDs. This achievement is attained through the employment of a binary host-induced exciplex strategy. The high hole/electron mobility and suitable energy levels of the donor and acceptor give rise to a broadband orange-yellow emission stemming from the exciplex. As the host, the binary exciplex is capable of contributing blue and orange-yellow emission components while efficiently mitigating the aggregation-induced quenching of CQDs. Meanwhile, CQDs effectively address the deep-red emission gap, enabling the realization of CQDs-based WLEDs with high CRI. These WLEDs also exhibit a remarkably low turn-on voltage of 2.8 V, a maximum luminance exceeding 2000 cd m- 2, a correlated color temperature of 4976 K, and Commission Internationale de l'Eclairage coordinates of (0.34, 0.32).
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Affiliation(s)
- Renjing Chen
- College of Physics and EnergyFujian Normal UniversityFujian Provincial Key Laboratory of Quantum Manipulation and New Energy MaterialsFuzhou350117P. R. China
| | - Zhibin Wang
- College of Physics and EnergyFujian Normal UniversityFujian Provincial Key Laboratory of Quantum Manipulation and New Energy MaterialsFuzhou350117P. R. China
| | - Qian Teng
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of EducationCollege of ChemistryBeijing Normal UniversityBeijing100875P. R. China
| | - Chenhao Li
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of EducationCollege of ChemistryBeijing Normal UniversityBeijing100875P. R. China
| | - Jinsui Li
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of EducationCollege of ChemistryBeijing Normal UniversityBeijing100875P. R. China
| | - Lingwei Zeng
- School of Chemistry and Chemical EngineeringHunan University of Science and TechnologyXiangtan411201P. R. China
| | - Ruidan Zhang
- College of Physics and EnergyFujian Normal UniversityFujian Provincial Key Laboratory of Quantum Manipulation and New Energy MaterialsFuzhou350117P. R. China
| | - Feng Huang
- College of Physics and EnergyFujian Normal UniversityFujian Provincial Key Laboratory of Quantum Manipulation and New Energy MaterialsFuzhou350117P. R. China
| | - Lei Lei
- Institute of Optoelectronic Materials and DevicesChina Jiliang UniversityHangzhou310018P. R. China
| | - Fanglong Yuan
- Key Laboratory of Theoretical & Computational Photochemistry of Ministry of EducationCollege of ChemistryBeijing Normal UniversityBeijing100875P. R. China
| | - Daqin Chen
- College of Physics and EnergyFujian Normal UniversityFujian Provincial Key Laboratory of Quantum Manipulation and New Energy MaterialsFuzhou350117P. R. China
- Fujian Provincial Collaborative Innovation Center for Advanced High‐Field Superconducting Materials and EngineeringFuzhou350117P. R. China
- Fujian Provincial Engineering Technology Research Center of Solar Energy Conversion and Energy StorageFuzhou350117P. R. China
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Tuchin VS, Stepanidenko EA, Vedernikova AA, Cherevkov SA, Li D, Li L, Döring A, Otyepka M, Ushakova EV, Rogach AL. Optical Properties Prediction for Red and Near-Infrared Emitting Carbon Dots Using Machine Learning. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2024; 20:e2310402. [PMID: 38342667 DOI: 10.1002/smll.202310402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 01/08/2024] [Indexed: 02/13/2024]
Abstract
Functional nanostructures build up a basis for the future materials and devices, providing a wide variety of functionalities, a possibility of designing bio-compatible nanoprobes, etc. However, development of new nanostructured materials via trial-and-error approach is obviously limited by laborious efforts on their syntheses, and the cost of materials and manpower. This is one of the reasons for an increasing interest in design and development of novel materials with required properties assisted by machine learning approaches. Here, the dataset on synthetic parameters and optical properties of one important class of light-emitting nanomaterials - carbon dots are collected, processed, and analyzed with optical transitions in the red and near-infrared spectral ranges. A model for prediction of spectral characteristics of these carbon dots based on multiple linear regression is established and verified by comparison of the predicted and experimentally observed optical properties of carbon dots synthesized in three different laboratories. Based on the analysis, the open-source code is provided to be used by researchers for the prediction of optical properties of carbon dots and their synthetic procedures.
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Affiliation(s)
- Vladislav S Tuchin
- International Research and Education Centre for Physics of Nanostructures, ITMO University, Saint Petersburg, 197101, Russia
| | - Evgeniia A Stepanidenko
- International Research and Education Centre for Physics of Nanostructures, ITMO University, Saint Petersburg, 197101, Russia
| | - Anna A Vedernikova
- International Research and Education Centre for Physics of Nanostructures, ITMO University, Saint Petersburg, 197101, Russia
| | - Sergei A Cherevkov
- International Research and Education Centre for Physics of Nanostructures, ITMO University, Saint Petersburg, 197101, Russia
| | - Di Li
- College of Materials Science and Engineering, Jilin University, Changchun, 130012, P. R. China
| | - Lei Li
- College of Materials Science and Engineering, Jilin University, Changchun, 130012, P. R. China
| | - Aaron Döring
- Department of Materials Science and Engineering, and Centre for Functional Photonics (CFP), City University of Hong Kong, Hong Kong SAR, 999077, P. R. China
| | - Michal Otyepka
- IT4Innovations. VSB-Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba, 70800, Czech Republic
- Regional Centre of Advanced Technologies and Materials (RCPTM), Czech Advanced Technology and Research Institute (CATRIN), Palacký University Olomouc, Šlechtitelů 27, Olomouc, 78371, Czech Republic
| | - Elena V Ushakova
- International Research and Education Centre for Physics of Nanostructures, ITMO University, Saint Petersburg, 197101, Russia
| | - Andrey L Rogach
- Department of Materials Science and Engineering, and Centre for Functional Photonics (CFP), City University of Hong Kong, Hong Kong SAR, 999077, P. R. China
- IT4Innovations. VSB-Technical University of Ostrava, 17. listopadu 2172/15, Ostrava-Poruba, 70800, Czech Republic
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Xu B, Li J, Zhang J, Ning H, Fang X, Shen J, Zhou H, Jiang T, Gao Z, Meng X, Wang Z. Solid-State Fluorescent Carbon Dots with Unprecedented Efficiency from Visible to Near-Infrared Region. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2205788. [PMID: 36461754 PMCID: PMC9896040 DOI: 10.1002/advs.202205788] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/03/2022] [Indexed: 06/17/2023]
Abstract
Developing solid-state luminescent materials with bright long-wavelength emissions is of considerable practical importance in light-emitting diodes (LEDs) but remains a formidable challenge. Here, a novel structure engineering strategy is reported to realize solid-state fluorescence (FL)-emitted carbon dots (CDs) from visible to near-infrared region. This is the first report of such an extended wavelength emission of self-quenching-resistant solid-state CDs. Notably, the quantum yields of these CDs are remarkably improved up to 67.7%, which is the highest value for solid-state CDs. The surface polymer chains of CDs can efficiently suppress the conjugated sp2 carbon cores from π-π stacking inducing aggregation caused FL quenching, and the redshift of FL emissions is attributed to narrowing bandgap caused by an enlarged sp2 carbon core. Using these CDs as conversion phosphors, the fabrication of white LEDs with adjustable correlated color temperatures of 1882-5019 K is achieved. Moreover, a plant growth LED device is assembled with a blue-LED chip and deep-red/near-infrared-emitted CDs. Compared with sunlight and white LEDs, the peanuts irradiated by plant growth LED lamp show higher growth efficiency in terms of branches and leaves. This work provides high-quality solid-state CD-based phosphors for LED lighting sources that are required for diverse optoelectronic applications.
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Affiliation(s)
- Bin Xu
- School of Materials Science & EngineeringQilu University of Technology (Shandong Academy of Sciences)Jinan250353China
| | - Jie Li
- School of Materials Science & EngineeringQilu University of Technology (Shandong Academy of Sciences)Jinan250353China
| | - Jing Zhang
- School of Materials Science & EngineeringQilu University of Technology (Shandong Academy of Sciences)Jinan250353China
| | - Huiying Ning
- School of Materials Science & EngineeringQilu University of Technology (Shandong Academy of Sciences)Jinan250353China
| | - Xiaoqi Fang
- School of Materials Science & EngineeringQilu University of Technology (Shandong Academy of Sciences)Jinan250353China
| | - Jian Shen
- School of Materials Science & EngineeringQilu University of Technology (Shandong Academy of Sciences)Jinan250353China
| | - Heng Zhou
- School of Materials Science & EngineeringQilu University of Technology (Shandong Academy of Sciences)Jinan250353China
| | - Tianlong Jiang
- School of Materials Science & EngineeringQilu University of Technology (Shandong Academy of Sciences)Jinan250353China
| | - Zhenhua Gao
- School of Materials Science & EngineeringQilu University of Technology (Shandong Academy of Sciences)Jinan250353China
| | - Xiangeng Meng
- School of Materials Science & EngineeringQilu University of Technology (Shandong Academy of Sciences)Jinan250353China
| | - Zifei Wang
- School of Materials Science & EngineeringQilu University of Technology (Shandong Academy of Sciences)Jinan250353China
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Hasanzadeh A, Hamblin MR, Kiani J, Noori H, Hardie JM, Karimi M, Shafiee H. Could artificial intelligence revolutionize the development of nanovectors for gene therapy and mRNA vaccines? NANO TODAY 2022; 47:101665. [PMID: 37034382 PMCID: PMC10081506 DOI: 10.1016/j.nantod.2022.101665] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/19/2023]
Abstract
Gene therapy enables the introduction of nucleic acids like DNA and RNA into host cells, and is expected to revolutionize the treatment of a wide range of diseases. This growth has been further accelerated by the discovery of CRISPR/Cas technology, which allows accurate genomic editing in a broad range of cells and organisms in vitro and in vivo. Despite many advances in gene delivery and the development of various viral and non-viral gene delivery vectors, the lack of highly efficient non-viral systems with low cellular toxicity remains a challenge. The application of cutting-edge technologies such as artificial intelligence (AI) has great potential to find new paradigms to solve this issue. Herein, we review AI and its major subfields including machine learning (ML), neural networks (NNs), expert systems, deep learning (DL), computer vision and robotics. We discuss the potential of AI-based models and algorithms in the design of targeted gene delivery vehicles capable of crossing extracellular and intracellular barriers by viral mimicry strategies. We finally discuss the role of AI in improving the function of CRISPR/Cas systems, developing novel nanobots, and mRNA vaccine carriers.
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Affiliation(s)
- Akbar Hasanzadeh
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran 1449614535, Iran
- Department of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran 1449614535, Iran
| | - Michael R Hamblin
- Laser Research Centre, Faculty of Health Science, University of Johannesburg, Doornfontein 2028, South Africa
- Radiation Biology Research Center, Iran University of Medical Sciences, Tehran, Iran
| | - Jafar Kiani
- Oncopathology Research Center, Iran University of Medical Sciences, Tehran 1449614535, Iran
- Department of Molecular Medicine, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Hamid Noori
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran 1449614535, Iran
- Department of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran 1449614535, Iran
| | - Joseph M. Hardie
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, 02139 USA
| | - Mahdi Karimi
- Cellular and Molecular Research Center, Iran University of Medical Sciences, Tehran 1449614535, Iran
- Department of Medical Nanotechnology, Faculty of Advanced Technologies in Medicine, Iran University of Medical Sciences, Tehran 1449614535, Iran
- Oncopathology Research Center, Iran University of Medical Sciences, Tehran 1449614535, Iran
- Research Center for Science and Technology in Medicine, Tehran University of Medical Sciences, Tehran 141556559, Iran
- Applied Biotechnology Research Centre, Tehran Medical Science, Islamic Azad University, Tehran 1584743311, Iran
| | - Hadi Shafiee
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, 02139 USA
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Chen Z, Liu Y, Kang Z. Diversity and Tailorability of Photoelectrochemical Properties of Carbon Dots. Acc Chem Res 2022; 55:3110-3124. [PMID: 36240013 DOI: 10.1021/acs.accounts.2c00570] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
As a new kind of carbon based functional material, carbon dots (CDs) have sparked much interest in recent years. The tunable structure, composition, and morphology of CDs unlocks opportunities to enable diversity in their photoelectrochemical properties, and thus they show great potential in various applications such as biology, catalysis, sensors, and energy storage. Nevertheless, the related understanding of CDs is insufficient at present due to their inherent complexity of microstructure, which involves the intersection of high polymer, bulk carbon, and quantum dot (QD). A good understanding of the underlying mechanism behind the properties of CDs is still a formidable challenge, requiring the integration of robust knowledge from organic chemistry, materials science, and solid state physics. Within this context, discovering more appealing properties, elucidating fundamental factors that affect the properties and proposing effective engineering strategies that can realize specific functions for CDs are now highly pursued by researchers.At the beginning of this Account, the main features of CDs are introduced, where not only the basic structural, compositional and morphological characteristics but also the rich photoelectrochemical properties are elucidated, among which the band gap, chirality, photoinduced potential, and electron sink effect are particularly emphasized. Furthermore, new analysis techniques including transient photoinduced current (TPC), transient photoinduced voltage (TPV), and machine learning (ML) to reveal the unique properties of CDs are described. Then, several appealing strategies that aim to rationally tailor CDs for oriented applications are highlighted. These regulation strategies are morphology modulation (e.g., developing CDs with new geometrical configuration, controlling the particle size), phase engineering (e.g., altering the phase crystallinity, introducing the foreign atoms), surface functionalization (e.g., grafting various types of functional groups), and interfacial tuning (e.g., building CD-based nanohybrids with well-defined interfaces). Although the fundamental investigation of CDs is relatively undeveloped because of their complexity, this does not hinder their wide application. At the same time, exploring the extensive applications of CDs will promote their in-depth understanding. Finally, the chances for building a CD-centered blueprint for sustainable society are explored and challenges for future research in the field of CDs are proposed as follows: (i) the controllable synthesis of CDs with uniform size; (ii) search for novel CDs with unique structure, morphology, or composition; (iii) quantitative understanding of the property of CDs; (iv) performance enhancement by external forces such as magnetism or heat injection; (v) construction of the dual carbon concept; (vi) further research on different photocatalytic applications. On the whole, this Account may provide meaningful references for the understanding of the microstructure-property correlation as well as the regulation of CDs, thereby promoting their transition from fundamental research to practical application.
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Affiliation(s)
- Ziliang Chen
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-based Functional Materials and Devices, Soochow University, 199 Ren'ai Road, Suzhou 215123, China
| | - Yang Liu
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-based Functional Materials and Devices, Soochow University, 199 Ren'ai Road, Suzhou 215123, China
| | - Zhenhui Kang
- Institute of Functional Nano and Soft Materials (FUNSOM), Jiangsu Key Laboratory for Carbon-based Functional Materials and Devices, Soochow University, 199 Ren'ai Road, Suzhou 215123, China.,Zhenhui Kang-Macao Institute of Materials Science and Engineering (MIMSE), MUST-SUDA Joint Research Center for Advanced Functional Materials, Macau University of Science and Technology, Taipa, 999078 Macao, China
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Xu Q, Tang Y, Zhu P, Zhang W, Zhang Y, Solis OS, Hu TS, Wang J. Machine learning guided microwave-assisted quantum dot synthesis and an indication of residual H 2O 2 in human teeth. NANOSCALE 2022; 14:13771-13778. [PMID: 36102636 DOI: 10.1039/d2nr03718a] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
The current preparation methods of carbon quantum dots (CDs) involve many reaction parameters, which leads to many possibilities in the synthesis processes and high uncertainty of the resultant production performance. Recently, machine learning (ML) methods have shown great potential in correlating the selected features in many applications, which can help understand the relevant structure-function relationships of CDs and discover better synthesis recipes as well. In this work, we employ the ML approach to guide the blue CD synthesis in microwave systems. After optimizing the synthesis parameters and conditions, the quantum yield (QY) increases to about 200% higher than the average value of the prepared samples without ML guidance. The obtained CDs are applied as fluorescent probes to monitor hydrogen peroxide (H2O2) in human teeth. The CD probe exhibits a linear relationship with the concentration of H2O2 ranging from 0 to 1.1 M with a lower detection limit of 0.12 M, which can effectively detect the residual H2O2 after bleaching teeth. This work shows that the adopted ML methods have considerable advantages in guiding the synthesis of high-quality CDs, which could accelerate the development of other novel functional materials in energy, biomedical, and environmental remediation applications.
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Affiliation(s)
- Quan Xu
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum (Beijing), Beijing 102249, China.
| | - Yaoyao Tang
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum (Beijing), Beijing 102249, China.
| | - Peide Zhu
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum (Beijing), Beijing 102249, China.
| | - Weiye Zhang
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum (Beijing), Beijing 102249, China.
| | - Yuqi Zhang
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum (Beijing), Beijing 102249, China.
| | - Oliver Sanchez Solis
- Department of Mechanical Engineering, California State University, Los Angeles, California, 90032, USA
| | - Travis Shihao Hu
- Department of Mechanical Engineering, California State University, Los Angeles, California, 90032, USA
| | - Juncheng Wang
- Institute of Stomatology, First Medical Center, Chinese PLA General Hospital, Beijing 100853, China.
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Zheng G, Wang T, Lou Q, Shen C, Wu M, Sun J, Ji W, Zang J, Liu K, Dong L, Shan C. Localized Excitonic Electroluminescence from Carbon Nanodots. J Phys Chem Lett 2022; 13:1587-1595. [PMID: 35139310 DOI: 10.1021/acs.jpclett.1c04028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Localized excitons are expected to achieve high-performance electroluminescence and have been widely investigated in GaN-based light-emitting diodes (LEDs). Although carbon nanodot (CD) based LEDs have been achieved with the radiative recombination of electrons and holes, localized excitonic electroluminescence has been not reported before. In this Letter, localized excitonic electroluminescent devices have been fabricated using fluorescent CDs as an active layer. The CDs show strong localized excitonic yellow emission with a fluorescence quantum yield of 76% and Stokes shift of 2.1 eV. The CD-based LEDs present a sub-bandgap turn-on voltage of 2.4 V and a maximum luminance of 60.2 cd m-2, which is the lowest driving voltage among the CD-based electroluminescent devices. Localized centers trap carriers effectively, resulting in sub-bandgap light emission. The current results manifest that localized excitons may furnish a promising approach to boost the development of CD-based LEDs.
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Affiliation(s)
- Guangsong Zheng
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450052, China
| | - Ting Wang
- Key Lab of Physics and Technology for Advanced Batteries (Ministry of Education), College of Physics, Jilin University, Changchun 130023, China
| | - Qing Lou
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450052, China
| | - Chenglong Shen
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450052, China
| | - Mengyuan Wu
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450052, China
| | - Junlu Sun
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450052, China
| | - Wenyu Ji
- Key Lab of Physics and Technology for Advanced Batteries (Ministry of Education), College of Physics, Jilin University, Changchun 130023, China
| | - Jinhao Zang
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450052, China
| | - Kaikai Liu
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450052, China
| | - Lin Dong
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450052, China
| | - Chongxin Shan
- Henan Key Laboratory of Diamond Optoelectronic Materials and Devices, Key Laboratory of Material Physics, Ministry of Education, School of Physics and Microelectronics, Zhengzhou University, Zhengzhou 450052, China
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Zhao Y, Ou C, Yu J, Zhang Y, Song H, Zhai Y, Tang Z, Lu S. Facile Synthesis of Water-Stable Multicolor Carbonized Polymer Dots from a Single Unconjugated Glucose for Engineering White Light-Emitting Diodes with a High Color Rendering Index. ACS APPLIED MATERIALS & INTERFACES 2021; 13:30098-30105. [PMID: 34143601 DOI: 10.1021/acsami.1c07444] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Tunable emission carbonized polymer dots (CPDs) are highly desirable for the preparation of optoelectronic devices, especially white light-emitting diodes (WLEDs). In most available studies, polychromatic CPDs are synthesized using aromatic molecules as precursors. However, few studies report the successful synthesis of polychromatic CPDs using two or more unconjugated precursors. In this work, we prepare multicolor fluorescent CPDs from a single unconjugated precursor, glucose, via a hydrothermal reaction. By controlling the particle size and degree of graphitization of the synthesized CPDs, their emission wavelength can be tuned in the range 440-625 nm (i.e., almost the entire visible region). Furthermore, the CPDs can be used to construct LEDs of varying colors, including WLEDs (CIE coordinates: 0.34, 0.36) with the correlated color temperature and color rendering index of 4997 K and 92.69, respectively. In brief, the strategy proposed in this study successfully converts unconjugated glucose into high-performance LEDs with great application potential.
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Affiliation(s)
- Yingnan Zhao
- Green Catalysis Center, and College of Chemistry, Zhengzhou University, Zhengzhou 450001, China
| | - Cailing Ou
- Green Catalysis Center, and College of Chemistry, Zhengzhou University, Zhengzhou 450001, China
| | - Jingkun Yu
- Green Catalysis Center, and College of Chemistry, Zhengzhou University, Zhengzhou 450001, China
| | - Yongqiang Zhang
- Green Catalysis Center, and College of Chemistry, Zhengzhou University, Zhengzhou 450001, China
| | - Haoqiang Song
- Green Catalysis Center, and College of Chemistry, Zhengzhou University, Zhengzhou 450001, China
| | - Yunpu Zhai
- Green Catalysis Center, and College of Chemistry, Zhengzhou University, Zhengzhou 450001, China
| | - Zhiyong Tang
- Henan Institute of Advanced Technology, Zhengzhou University, Zhengzhou 450001, China
- CAS Key Laboratory of Nanosystem and Hierarchical Fabrication, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology, Beijing 100190, China
| | - Siyu Lu
- Green Catalysis Center, and College of Chemistry, Zhengzhou University, Zhengzhou 450001, China
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