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Liang X, Xia H, Xiang J, Wang F, Ma J, Zhou X, Wang H, Liu X, Zhu Q, Lin H, Pan J, Yuan M, Li G, Hu H. Facile Tailoring of Metal-Organic Frameworks for Förster Resonance Energy Transfer-Driven Enhancement in Perovskite Photovoltaics. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2307476. [PMID: 38445968 PMCID: PMC11095144 DOI: 10.1002/advs.202307476] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 01/30/2024] [Indexed: 03/07/2024]
Abstract
Förster resonance energy transfer (FRET) has demonstrated its potential to enhance the light energy utilization ratio of perovskite solar cells by interacting with metal-organic frameworks (MOFs) and perovskite layers. However, comprehensive investigations into how MOF design and synthesis impact FRET in perovskite systems are scarce. In this work, nanoscale HIAM-type Zr-MOF (HIAM-4023, HIAM-4024, and HIAM-4025) is meticulously tailored to evaluate FRET's existence and its influence on the perovskite photoactive layer. Through precise adjustments of amino groups and acceptor units in the organic linker, HIAM-MOFs are synthesized with the same topology, but distinct photoluminescence (PL) emission properties. Significant FRET is observed between HIAM-4023/HIAM-4024 and the perovskite, confirmed by spectral overlap, fluorescence lifetime decay, and calculated distances between HIAM-4023/HIAM-4024 and the perovskite. Conversely, the spectral overlap between the PL emission of HIAM-4025 and the perovskite's absorption spectrum is relatively minimal, impeding the energy transfer from HIAM-4025 to the perovskite. Therefore, the HIAM-4023/HIAM-4024-assisted perovskite devices exhibit enhanced EQE via FRET processes, whereas the HIAM-4025 demonstrates comparable EQE to the pristine. Ultimately, the HIAM-4023-assisted perovskite device achieves an enhanced power conversion efficiency (PCE) of 24.22% compared with pristine devices (PCE of 22.06%) and remarkable long-term stability under ambient conditions and continuous light illumination.
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Affiliation(s)
- Xiao Liang
- Hoffmann Institute of Advanced MaterialsShenzhen Polytechnic7098 Liuxian BoulevardShenzhen518055China
- State Key Laboratory of Advanced Technology for Materials Synthesis and ProcessingSchool of Materials Science and EngineeringWuhan University of TechnologyWuhan430070China
| | - Hai‐lun Xia
- Hoffmann Institute of Advanced MaterialsShenzhen Polytechnic7098 Liuxian BoulevardShenzhen518055China
| | - Jin Xiang
- Hoffmann Institute of Advanced MaterialsShenzhen Polytechnic7098 Liuxian BoulevardShenzhen518055China
| | - Fei Wang
- Hoffmann Institute of Advanced MaterialsShenzhen Polytechnic7098 Liuxian BoulevardShenzhen518055China
- State Key Laboratory of Advanced Technology for Materials Synthesis and ProcessingSchool of Materials Science and EngineeringWuhan University of TechnologyWuhan430070China
| | - Jing Ma
- Medical Intelligence and Innovation AcademySouthern University of Science and Technology HospitalShenzhen518055China
| | - Xianfang Zhou
- Hoffmann Institute of Advanced MaterialsShenzhen Polytechnic7098 Liuxian BoulevardShenzhen518055China
- State Key Laboratory of Advanced Technology for Materials Synthesis and ProcessingSchool of Materials Science and EngineeringWuhan University of TechnologyWuhan430070China
| | - Hao Wang
- Hoffmann Institute of Advanced MaterialsShenzhen Polytechnic7098 Liuxian BoulevardShenzhen518055China
| | - Xiao‐Yuan Liu
- Hoffmann Institute of Advanced MaterialsShenzhen Polytechnic7098 Liuxian BoulevardShenzhen518055China
| | - Quanyao Zhu
- State Key Laboratory of Advanced Technology for Materials Synthesis and ProcessingSchool of Materials Science and EngineeringWuhan University of TechnologyWuhan430070China
| | - Haoran Lin
- Hoffmann Institute of Advanced MaterialsShenzhen Polytechnic7098 Liuxian BoulevardShenzhen518055China
| | - Jun Pan
- College of Materials Science and EngineeringZhejiang University of TechnologyHangzhou310014China
| | - Mingjian Yuan
- Renewable Energy Conversion and Storage Center (RECAST) College of ChemistryNankai UniversityTianjin300071China
| | - Gang Li
- Department of Electronic and Information EngineeringResearch Institute for Smart Energy (RISE)The Hong Kong Polytechnic UniversityHung HomKowloonHong Kong999077China
| | - Hanlin Hu
- Hoffmann Institute of Advanced MaterialsShenzhen Polytechnic7098 Liuxian BoulevardShenzhen518055China
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2
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Ruan F, Fang H, Chen F, Xie X, He M, Wang R, Lu J, Wu Z, Liu J, Guo F, Sun W, Shao D. Leveraging Radiation-triggered Metal Prodrug Activation Through Nanosurface Energy Transfer for Directed Radio-chemo-immunotherapy. Angew Chem Int Ed Engl 2024; 63:e202317943. [PMID: 38078895 DOI: 10.1002/anie.202317943] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Indexed: 12/30/2023]
Abstract
Metal-based drugs currently dominate the field of chemotherapeutic agents; however, achieving the controlled activation of metal prodrugs remains a substantial challenge. Here, we propose a universal strategy for the radiation-triggered activation of metal prodrugs via nanosurface energy transfer (NSET). The core-shell nanoplatform (Ru-GNC) is composed of gold nanoclusters (GNC) and ruthenium (Ru)-containing organic-inorganic hybrid coatings. Upon X-ray irradiation, chemotherapeutic Ru (II) complexes were released in a controlled manner through a unique NSET process involving the transfer of photoelectron energy from the radiation-excited Ru-GNCs to the Ru-containing hybrid layer. In contrast to the traditional radiation-triggered activation of prodrugs, such an NSET-based system ensures that the reactive species in the tumor microenvironment are present in sufficient quantity and are not easily quenched. Additionally, ultrasmall Ru-GNCs preferably target mitochondria and profoundly disrupt the respiratory chain upon irradiation, leading to radiosensitization by generating abundant reactive oxygen species. Consequently, Ru-GNC-directed radiochemotherapy induces immunogenic cell death, resulting in significant therapeutic outcomes when combined with the programmed cell death-ligand 1 (PD-L1) checkpoint blockade. This NSET strategy represents a breakthrough in designing radiation-triggered nanoplatforms for metal-prodrug-mediated cancer treatment in an efficient and controllable manner.
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Affiliation(s)
- Feixia Ruan
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, 510006, China
| | - Hui Fang
- School of Biomedical Sciences and Engineering, Guangzhou International Campus, South China University of Technology, Guangzhou, Guangdong, 511442, China
| | - Fangman Chen
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, Guangdong, 510006, China
| | - Xiaochun Xie
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, 510006, China
| | - Maomao He
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, China
| | - Ran Wang
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, China
| | - Junna Lu
- School of Biomedical Sciences and Engineering, Guangzhou International Campus, South China University of Technology, Guangzhou, Guangdong, 511442, China
| | - Ziping Wu
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, Guangdong, 510006, China
| | - Jiali Liu
- School of Biomedical Sciences and Engineering, Guangzhou International Campus, South China University of Technology, Guangzhou, Guangdong, 511442, China
| | - Feng Guo
- School of Biomedical Sciences and Engineering, Guangzhou International Campus, South China University of Technology, Guangzhou, Guangdong, 511442, China
| | - Wen Sun
- State Key Laboratory of Fine Chemicals, School of Chemical Engineering, Dalian University of Technology, Dalian, 116024, China
| | - Dan Shao
- School of Medicine, South China University of Technology, Guangzhou, Guangdong, 510006, China
- School of Biomedical Sciences and Engineering, Guangzhou International Campus, South China University of Technology, Guangzhou, Guangdong, 511442, China
- National Engineering Research Center for Tissue Restoration and Reconstruction, South China University of Technology, Guangzhou, Guangdong, 510006, China
- Guangdong Provincial Key Laboratory of Biomedical Engineering, Key Laboratory of Biomedical Materials and Engineering of the Ministry of Education, South China University of Technology, Guangzhou, 510006, China
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3
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Zhang Y, Fang X, Huang W, Li Q, Jiang H, Wang C, Liu H. Plasmon Resonance Energy Transfer Nanoruler for Pinpointing Molecular Distance and Interaction on the Living Cell Membrane. NANO LETTERS 2023; 23:7750-7757. [PMID: 37387534 DOI: 10.1021/acs.nanolett.3c01629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/01/2023]
Abstract
Developing novel strategies to measure nanoscale distance and molecular interaction on a living cell membrane is of great significance but challenging. Here we develop a model of a linker-free plasmon resonance energy transfer, termed "PRET nanoruler", which is composed of a single-sized nanogold-antibody conjugates donor (G26@antiCD71) and a fluorophore-labeled XQ-2d aptamer receptor (XQ-2d-Cy3), that produces a separation distance (r) dependent energy transfer (ηPRET). Both the theoretical finite element simulation and experiments evidence the observable PRET between single G26NPs and XQ-2d-Cy3. Regardless of the size of ηPRET, we could confirm r is less than 5 nm, the separation of two binding sites is in the range of 13.0-18.0 nm. There is a competitive binding of Tf and XQ-2d-Cy3 on CD71 receptors. PRET nanoruler realizes the estimation of the nanoscale separation distance, and determines the molecular interaction and competitive binding. It is an alternative tool for observing nanoscale single molecular events in the future.
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Affiliation(s)
- Yu Zhang
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, China
| | - Xingru Fang
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, China
| | - Wenwen Huang
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, China
| | - Qi Li
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, China
| | - Hao Jiang
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, China
| | - Chao Wang
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei 230027, China
| | - Honglin Liu
- China Light Industry Key Laboratory of Meat Microbial Control and Utilization, School of Food and Biological Engineering, Engineering Research Center of Bio-process, Ministry of Education, Hefei University of Technology, Hefei 230601, China
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4
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He Z, Li F, Zuo P, Tian H. Principles and Applications of Resonance Energy Transfer Involving Noble Metallic Nanoparticles. MATERIALS (BASEL, SWITZERLAND) 2023; 16:3083. [PMID: 37109920 PMCID: PMC10145016 DOI: 10.3390/ma16083083] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Revised: 04/01/2023] [Accepted: 04/11/2023] [Indexed: 06/19/2023]
Abstract
Over the past several years, resonance energy transfer involving noble metallic nanoparticles has received considerable attention. The aim of this review is to cover advances in resonance energy transfer, widely exploited in biological structures and dynamics. Due to the presence of surface plasmons, strong surface plasmon resonance absorption and local electric field enhancement are generated near noble metallic nanoparticles, and the resulting energy transfer shows potential applications in microlasers, quantum information storage devices and micro-/nanoprocessing. In this review, we present the basic principle of the characteristics of noble metallic nanoparticles, as well as the representative progress in resonance energy transfer involving noble metallic nanoparticles, such as fluorescence resonance energy transfer, nanometal surface energy transfer, plasmon-induced resonance energy transfer, metal-enhanced fluorescence, surface-enhanced Raman scattering and cascade energy transfer. We end this review with an outlook on the development and applications of the transfer process. This will offer theoretical guidance for further optical methods in distance distribution analysis and microscopic detection.
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Affiliation(s)
- Zhicong He
- School of Mechanical and Electrical Engineering, Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan 430073, China
- School of Mechanical and Electrical Engineering, Hubei Polytechnic University, Huangshi 435003, China
- Hubei Key Laboratory of Intelligent Transportation Technology and Device, Hubei Polytechnic University, Huangshi 435003, China
| | - Fang Li
- School of Mechanical and Electrical Engineering, Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan 430073, China
| | - Pei Zuo
- School of Mechanical and Electrical Engineering, Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan 430073, China
| | - Hong Tian
- School of Mechanical and Electrical Engineering, Hubei Key Laboratory of Optical Information and Pattern Recognition, Wuhan Institute of Technology, Wuhan 430073, China
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5
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Lee S, Kang SH. Wavelength-Dependent Metal-Enhanced Fluorescence Biosensors via Resonance Energy Transfer Modulation. BIOSENSORS 2023; 13:376. [PMID: 36979588 PMCID: PMC10046318 DOI: 10.3390/bios13030376] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 03/10/2023] [Accepted: 03/10/2023] [Indexed: 06/18/2023]
Abstract
Fluorescence can be enhanced or quenched depending on the distance between the surface of a metal nanoparticle and the fluorophore molecule. Fluorescence enhancement by nearby metal particles is called metal-enhanced fluorescence (MEF). MEF shows promising potential in the field of fluorescence-based biological sensing. MEF-based biosensor systems generally fall into two platform categories: (1) a two/three-dimensional scaffold, or (2) a colloidal suspension. This review briefly summarizes the application studies using wavelength-dependent carbon dots (UV-VIS), noble metals (VIS), and upconversion nanoparticles (NIR to VIS), representative nanomaterials that contribute to the enhancement of fluorescence through the resonance energy transfer modulation and then presents a perspective on this topic.
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Hildebrandt N, Lim M, Kim N, Choi DY, Nam JM. Plasmonic quenching and enhancement: metal-quantum dot nanohybrids for fluorescence biosensing. Chem Commun (Camb) 2023; 59:2352-2380. [PMID: 36727288 DOI: 10.1039/d2cc06178c] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Plasmonic metal nanoparticles and semiconductor quantum dots (QDs) are two of the most widely applied nanomaterials for optical biosensing and bioimaging. While their combination for fluorescence quenching via nanosurface energy transfer (NSET) or Förster resonance energy transfer (FRET) offers powerful ways of tuning and amplifying optical signals and is relatively common, metal-QD nanohybrids for plasmon-enhanced fluorescence (PEF) have been much less prevalent. A major reason is the competition between fluorescence quenching and enhancement, which poses important challenges for optimizing distances, orientations, and spectral overlap toward maximum PEF. In this feature article, we discuss the interplay of the different quenching and enhancement mechanisms (a mixed distance dependence of quenching and enhancement - "quenchancement") to better understand the obstacles that must be overcome for the development of metal-QD nanohybrid-based PEF biosensors. The different nanomaterials, their combination within various surface and solution based design concepts, and their structural and photophysical characterization are reviewed and applications toward advanced optical biosensing and bioimaging are presented along with guidelines and future perspectives for sensitive, selective, and versatile bioanalytical research and biomolecular diagnostics with metal-QD nanohybrids.
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Affiliation(s)
- Niko Hildebrandt
- Department of Chemistry, Seoul National University, Seoul 08826, South Korea.
| | - Mihye Lim
- Department of Chemistry, Seoul National University, Seoul 08826, South Korea.
| | - Namjun Kim
- Department of Chemistry, Seoul National University, Seoul 08826, South Korea.
| | - Da Yeon Choi
- Department of Chemistry, Seoul National University, Seoul 08826, South Korea.
| | - Jwa-Min Nam
- Department of Chemistry, Seoul National University, Seoul 08826, South Korea.
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7
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Wang J, Zhang Q, Liu Z, Yang C, Li Y, Ma X, Lv T, Sun C. Label-Free Fluorescence Sensing Strategy Based on Functional Nucleic Acids via Energy Transfer between DNA-Templated Silver Nanoclusters and Gold Nanorods. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:12220-12231. [PMID: 36112030 DOI: 10.1021/acs.jafc.2c05143] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
A simple and low-cost fluorescence signal-on sensing strategy has been developed based on functional nucleic acids (FNAs) via energy transfer between DNA-templated silver nanoclusters (DNA-AgNCs) and gold nanorods (GNRs). FNAs were used as highly selective recognition probes, in which an aptamer was used to detect small molecules represented by tetracycline, and DNAzyme was used to detect heavy metal ions represented by Pb2+. The fluorescent DNA-AgNCs were synthesized by the designed oligonucleotide sequences, which consisted of three parts: AgNCs synthesis template C6G5C6, spacer T5, and complementary sequences of the aptamer or enzyme strand. The difference in electrostatic interactions between ss/dsDNA and positively charged GNRs leads to energy transfer with different efficiencies. The analytes represented by tetracycline and Pb2+ can destroy the dsDNA structure and reduce the energy-transfer efficiency between DNA-AgNCs and GNRs, thus achieving fluorescence recovery and a signal-on analytical strategy. This strategy has excellent specificity and sensitivity with limit of detections of 4.411 nM for tetracycline and 1.416 nM for Pb2+ and has been successfully applied to detect tetracycline in milk and Pb2+ in river water. Using DNA-AgNCs formed in situ as signal probes, this strategy does not require labels or modifications and can be completed without complex analytical instruments. Moreover, this strategy can be extended to detect other targets by replacing FNA sequences. Therefore, it has promising prospects in the sensitive, simple, and rapid detection of contaminants in food and environment samples.
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Affiliation(s)
- Junyang Wang
- Department of Food Quality and Safety, College of Food Science and Engineering, Jilin University, Changchun 130062, China
| | - Qian Zhang
- Department of Food Quality and Safety, College of Food Science and Engineering, Jilin University, Changchun 130062, China
| | - Zheng Liu
- Department of Food Quality and Safety, College of Food Science and Engineering, Jilin University, Changchun 130062, China
| | - Chuanyu Yang
- Department of Food Quality and Safety, College of Food Science and Engineering, Jilin University, Changchun 130062, China
| | - Ying Li
- Department of Food Quality and Safety, College of Food Science and Engineering, Jilin University, Changchun 130062, China
| | - Xinyue Ma
- Department of Food Quality and Safety, College of Food Science and Engineering, Jilin University, Changchun 130062, China
| | - Ting Lv
- Department of Food Quality and Safety, College of Food Science and Engineering, Jilin University, Changchun 130062, China
| | - Chunyan Sun
- Department of Food Quality and Safety, College of Food Science and Engineering, Jilin University, Changchun 130062, China
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8
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Zhou J, He W, Liu H, Huang CZ. Energy Flow during the Plasmon Resonance-Driven Photocatalytic Reactions on Single Nanoparticles. ACS Catal 2021. [DOI: 10.1021/acscatal.1c04919] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Jun Zhou
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Computer and Information Science, Southwest University, Chongqing 400715, P.R. China
- Key Laboratory of Luminescent and Real-Time Analytical System (Southwest University), Chongqing Science and Technology Bureau, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, P.R. China
| | - Wei He
- Key Laboratory of Luminescent and Real-Time Analytical System (Southwest University), Chongqing Science and Technology Bureau, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, P.R. China
| | - Hui Liu
- Key Laboratory of Luminescent and Real-Time Analytical System (Southwest University), Chongqing Science and Technology Bureau, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, P.R. China
| | - Cheng Zhi Huang
- Key Laboratory of Luminescent and Real-Time Analytical System (Southwest University), Chongqing Science and Technology Bureau, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, P.R. China
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9
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Covarrubias-Zambrano O, Motamedi M, Ameredes BT, Tian B, Calhoun WJ, Zhao Y, Brasier AR, Kalubowilage M, Malalasekera AP, Yapa AS, Wang H, Culbertson CT, Troyer DL, Bossmann SH. Optical biosensing of markers of mucosal inflammation. NANOMEDICINE-NANOTECHNOLOGY BIOLOGY AND MEDICINE 2021; 40:102476. [PMID: 34743019 DOI: 10.1016/j.nano.2021.102476] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Revised: 09/13/2021] [Accepted: 10/01/2021] [Indexed: 02/07/2023]
Abstract
We report the design and adaptation of iron/iron oxide nanoparticle-based optical nanobiosensors for enzymes or cytokine/chemokines that are established biomarkers of lung diseases. These biomarkers comprise ADAM33, granzyme B, MMP-8, neutrophil elastase, arginase, chemokine (C-C motif) ligand 20 and interleukin-6. The synthesis of nanobiosensors for these seven biomarkers, their calibration with commercially available enzymes and cytokines/chemokines, as well as their validation using bronchoalveolar lavage (BAL) obtained from a mouse model of TLR3-mediated inflammation are discussed here. Exhaled Breath Condensate (EBC) is a minimally invasive approach for sampling airway fluid in the diagnosis and management of various lung diseases in humans (e.g., asthma, COPD and viral infections). We report the proof-of-concept of using human EBC in conjunction with nanobiosensors for diagnosis/monitoring airway inflammation. These findings suggest that, with nanosensor technology, human EBC can be utilized as a liquid biopsy to monitor inflammation/remodeling in lung disease.
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Affiliation(s)
| | - Massoud Motamedi
- Center for Biomedical Engineering, University of Texas Medical Branch, Galveston, TX, USA
| | - Bill T Ameredes
- Institute for Translational Sciences and Department of Internal Medicine, University of Texas Medical Branch, Galveston, TX
| | - Bing Tian
- Institute for Translational Sciences and Department of Internal Medicine, University of Texas Medical Branch, Galveston, TX
| | - William J Calhoun
- Institute for Translational Sciences and Department of Internal Medicine, University of Texas Medical Branch, Galveston, TX
| | - Yingxin Zhao
- Institute for Translational Sciences and Department of Internal Medicine, University of Texas Medical Branch, Galveston, TX
| | - Allan R Brasier
- Institute for Clinical and Translational Research, University of Wisconsin-Madison, School of Medicine and Public Health, Madison, WI
| | | | - Aruni P Malalasekera
- Department of Chemistry, Southwestern College, 100 College Street, Winfield, KS, USA
| | - Asanka S Yapa
- Department of Chemistry, Kansas State University, Manhattan, KS, USA
| | - Hongwang Wang
- Department of Chemistry, Kansas State University, Manhattan, KS, USA
| | | | - Deryl L Troyer
- Department of Anatomy & Physiology, Kansas State University, Manhattan, KS, USA
| | - Stefan H Bossmann
- Department of Chemistry, Kansas State University, Manhattan, KS, USA; The University of Kansas Medical Center, Department of Cancer Biology and The University of Kansas Cancer Center, Kansas City, KS, USA.
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10
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Ma YP, Li Q, Luo JB, Huang CZ, Zhou J. Weak Reaction Scatterometry of Plasmonic Resonance Light Scattering with Machine Learning. Anal Chem 2021; 93:12131-12138. [PMID: 34432436 DOI: 10.1021/acs.analchem.1c02813] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Weak reactions are usually overlooked due to weak detectable features and susceptibility to interference from noise signals. Strategies for detecting weak reactions are essential for exploring reaction mechanisms and exploiting potential applications. Machine learning has recently been successfully used to identify patterns and trends in the data. Here, it is demonstrated that machine learning-based techniques can offer accurate local surface plasmon resonance (LSPR) scatterometry by improving the precision of the plasmonic scattering imaging in weak chemical reactions. Dark-field microscopy (DFM) imaging technique is the most effective method for high-sensitivity plasmonic nanoparticles LSPR scatterometry. Unfortunately, deviations caused by the instrument and operating errors are inevitable, and it is difficult to effectively detect the presence of weak reactions. Thus, introducing a machine learning calibration model to automatically calibrate the scattering signal of the nanoprobe in the reaction process can greatly improve the confidence of LSPR scatterometry under DFM imaging and allow DFM imaging to effectively monitor unobvious or weak reactions. By this approach, the weak oxidation of silver nanoparticles (AgNPs) in water by dissolved oxygen was successfully monitored. Moreover, a trivial reaction between AgNPs and mercury ions was detected in a dilute mercury solution with a concentration greater than 1.0 × 10-10 mol/L. These results suggest the great potential of the combination of LSPR scatterometry and machine learning as a method for imaging analysis and intelligent sensing.
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Affiliation(s)
- Yun Peng Ma
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Computer and Information Science, Southwest University, Chongqing 400715, P. R. China
| | - Qian Li
- Key Laboratory of Luminescent and Real-Time Analytical System (Southwest University), Chongqing Science and Technology Bureau, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, P. R. China
| | - Jun Bo Luo
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Computer and Information Science, Southwest University, Chongqing 400715, P. R. China
| | - Cheng Zhi Huang
- Key Laboratory of Luminescent and Real-Time Analytical System (Southwest University), Chongqing Science and Technology Bureau, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, P. R. China
| | - Jun Zhou
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Computer and Information Science, Southwest University, Chongqing 400715, P. R. China.,Key Laboratory of Luminescent and Real-Time Analytical System (Southwest University), Chongqing Science and Technology Bureau, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, P. R. China
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11
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Liao X, Xu Q, Tan Z, Liu Y, Wang C. Recent Advances in Plasmonic Nanostructures Applied for Label‐free Single‐cell Analysis. ELECTROANAL 2021. [DOI: 10.1002/elan.202100330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Affiliation(s)
- Xue‐Wei Liao
- Analytical & Testing Center Nanjing Normal University Nanjing 210023 China
| | - Qiu‐Yang Xu
- Department of Chemistry China Pharmaceutical University Nanjing 211198 China
| | - Zheng Tan
- Department of Chemistry China Pharmaceutical University Nanjing 211198 China
| | - Yang Liu
- School of Environment Nanjing Normal University Nanjing 210023 China
| | - Chen Wang
- School of Chemistry and Materials Science Nanjing Normal University Nanjing 210023 China
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12
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Lai Q, Liu Y, Ge L, Yang Y, Ji X, He Z. Investigating the effect of 6-mercaptohexanol on the performance of a biosensor based on nanosurface energy transfer between gold nanoparticles and quantum dots. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2021; 13:2092-2098. [PMID: 33870959 DOI: 10.1039/d1ay00209k] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Nanosurface energy transfer (NSET)-based sensors have been widely developed using various pairs of nanomaterials including gold nanoparticles (AuNPs) and quantum dots (QDs). However, a low signal to background ratio is one of the most important problems that researchers are continually trying to solve. Herein, we present a 6-mercaptohexanol (MCH) modified MCH/DNA-Au-QD sensor for the detection of nucleic acids and MUC1. Interestingly, an unexpected effect of MCH was found in enhancing the fluorescence recovery ratio, therefore yielding a higher signal to background ratio. Through further investigation, we perceive the enhancement as a result of lowering of the NSET efficiency between free DNA-AuNPs and free DNA-QDs, which arises from the stretching of adsorbed DNA on the surface of AuNPs. The employment of MCH endowed the sensor with a wider linear range from 5 nM to 120 nM and a relatively lower LOD of 1.19 nM in nucleic acid detection, outperforming the original DNA-Au-QD sensor. Furthermore, the application of the sensor can be further extended to MUC1 detection. This study offers a better understanding of the NSET process between QDs and AuNPs and also initiates a new approach for the performance optimization of analogous NSET-based sensors.
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Affiliation(s)
- Qizhen Lai
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China.
| | - Yucheng Liu
- The Centre of Analysis and Measurement of Wuhan University, Wuhan University, Wuhan, 430072, P. R. China
| | - Lan Ge
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China.
| | - Yeling Yang
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China.
| | - Xinghu Ji
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China.
| | - Zhike He
- College of Chemistry and Molecular Sciences, Wuhan University, Wuhan 430072, China.
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13
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Wang N, Jiang YJ, Zhang X, Lin HR, Cheng F, Li Q, Li CM, Huang CZ. Nanosurface energy transfer indicating Exo III-propelled stochastic 3D DNA walkers for HIV DNA detection. Analyst 2021; 146:1675-1681. [PMID: 33624639 DOI: 10.1039/d0an02289f] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
DNA-based nanomachines have aroused tremendous interest because of their potential applications in bioimaging, biocomputing, and diagnostic treatment. Herein, we constructed a novel exonuclease III-propelled and signal-amplified stochastic DNA walker that autonomously walked on a spherical particle-based 3D track through a burnt-bridge mechanism, during which nanosurface energy transfer (NSET) occurred between the fluorescent dye modified on hairpin DNA and the surface of gold nanoparticles (AuNPs). As a proof of concept, this stochastic DNA walker achieves prominent detection performance of HIV DNA in the range of 0.05-1.2 nM with a detection limit of 12.7 pM and satisfactory recovery in blood serum, showing high promise in biosensing applications with complicated media.
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Affiliation(s)
- Na Wang
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, P. R. China.
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14
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Gao PF, Lei G, Huang CZ. Dark-Field Microscopy: Recent Advances in Accurate Analysis and Emerging Applications. Anal Chem 2021; 93:4707-4726. [DOI: 10.1021/acs.analchem.0c04390] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Peng Fei Gao
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Gang Lei
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Cheng Zhi Huang
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
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15
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Song MK, Chen SX, Hu PP, Huang CZ, Zhou J. Automated Plasmonic Resonance Scattering Imaging Analysis via Deep Learning. Anal Chem 2021; 93:2619-2626. [PMID: 33427440 DOI: 10.1021/acs.analchem.0c04763] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Plasmonic nanoparticles, which have excellent local surface plasmon resonance (LSPR) optical and chemical properties, have been widely used in biology, chemistry, and photonics. The single-particle light scattering dark-field microscopy (DFM) imaging technique based on a color-coded analytical method is a promising approach for high-throughput plasmonic nanoparticle scatterometry. Due to the interference of high noise levels, accurately extracting real scattering light of plasmonic nanoparticles in living cells is still a challenging task, which hinders its application for intracellular analysis. Herein, we propose an automatic and high-throughput LSPR scatterometry technique using a U-Net convolutional deep learning neural network. We use the deep neural networks to recognize the scattering light of nanoparticles from background interference signals in living cells, which have a dynamic and complicated environment, and construct a DFM image semantic analytical model based on the U-Net convolutional neural network. Compared with traditional methods, this method can achieve higher accuracy, stronger generalization ability, and robustness. As a proof of concept, the change of intracellular cytochrome c in MCF-7 cells under UV light-induced apoptosis was monitored through the fast and high-throughput analysis of the plasmonic nanoparticle scattering light, providing a new strategy for scatterometry study and imaging analysis in chemistry.
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Affiliation(s)
- Ming Ke Song
- A Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Computer and Information Science, Southwest University, Chongqing 400715, P. R. China
| | - Shan Xiong Chen
- A Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Computer and Information Science, Southwest University, Chongqing 400715, P. R. China
| | - Ping Ping Hu
- School of Pharmaceutical Sciences, Chongqing University, Chongqing 401331, P. R. China
| | - Cheng Zhi Huang
- Key Laboratory of Luminescent and Real-Time Analytical System (Southwest University), Chongqing Science and Technology Bureau, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, P. R. China
| | - Jun Zhou
- A Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Computer and Information Science, Southwest University, Chongqing 400715, P. R. China.,Key Laboratory of Luminescent and Real-Time Analytical System (Southwest University), Chongqing Science and Technology Bureau, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, P. R. China
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16
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Ma J, Wang X, Feng J, Huang C, Fan Z. Individual Plasmonic Nanoprobes for Biosensing and Bioimaging: Recent Advances and Perspectives. SMALL (WEINHEIM AN DER BERGSTRASSE, GERMANY) 2021; 17:e2004287. [PMID: 33522074 DOI: 10.1002/smll.202004287] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 12/27/2020] [Indexed: 06/12/2023]
Abstract
With the advent of nanofabrication techniques, plasmonic nanoparticles (PNPs) have been widely applied in various research fields ranging from photocatalysis to chemical and bio-sensing. PNPs efficiently convert chemical or physical stimuli in their local environment into optical signals. PNPs also have excellent properties, including good biocompatibility, large surfaces for the attachment of biomolecules, tunable optical properties, strong and stable scattering light, and good conductivity. Thus, single optical biosensors with plasmonic properties enable a broad range of uses of optical imaging techniques in biological sensing and imaging with high spatial and temporal resolution. This work provides a comprehensive overview on the optical properties of single PNPs, the description of five types of commonly used optical imaging techniques, including surface plasmon resonance (SPR) microscopy, surface-enhanced Raman scattering (SERS) technique, differential interference contrast (DIC) microscopy, total internal reflection scattering (TIRS) microscopy, and dark-field microscopy (DFM) technique, with an emphasis on their single plasmonic nanoprobes and mechanisms for applications in biological imaging and sensing, as well as the challenges and future trends of these fields.
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Affiliation(s)
- Jun Ma
- Department of Vasculocardiology, The Affiliated Hospital of Southwest Medical University, Key Laboratory of Medical Electrophysiology, Ministry of Education, Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Xinyu Wang
- Key Laboratory of Medical Electrophysiology, Ministry of Education & Medical Electrophysiological Key Laboratory of Sichuan Province, Institute of Cardiovascular Research, Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Jian Feng
- Department of Vasculocardiology, The Affiliated Hospital of Southwest Medical University, Key Laboratory of Medical Electrophysiology, Ministry of Education, Southwest Medical University, Luzhou, Sichuan, 646000, China
| | - Chengzhi Huang
- Key Laboratory of Luminescent and Real-Time Analytical System (Southwest University), Chongqing Science and Technology Bureau, College of Pharmaceutical Sciences, Southwest University, Chongqing, 400715, China
| | - Zhongcai Fan
- Department of Vasculocardiology, The Affiliated Hospital of Southwest Medical University, Key Laboratory of Medical Electrophysiology, Ministry of Education, Southwest Medical University, Luzhou, Sichuan, 646000, China
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17
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Abstract
As one kind of noble metal nanostructures, the plasmonic gold nanostructures possess unique optical properties as well as good biocompatibility, satisfactory stability, and multiplex functionality. These distinctive advantages make the plasmonic gold nanostructures an ideal medium in developing methods for biosensing and bioimaging. In this review, the optical properties of the plasmonic gold nanostructures were firstly introduced, and then biosensing in vitro based on localized surface plasmon resonance, Rayleigh scattering, surface-enhanced fluorescence, and Raman scattering were summarized. Subsequently, application of the plasmonic gold nanostructures for in vivo bioimaging based on scattering, photothermal, and photoacoustic techniques has been also briefly covered. At last, conclusions of the selected examples are presented and an outlook of this research topic is given.
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18
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Peng W, Cai Y, Fanslau L, Vana P. Nanoengineering with RAFT polymers: from nanocomposite design to applications. Polym Chem 2021. [DOI: 10.1039/d1py01172c] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Reversible addition–fragmentation chain-transfer (RAFT) polymerization is a powerful tool for the precise formation of macromolecular building blocks that can be used for the construction of well-defined nanocomposites.
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Affiliation(s)
- Wentao Peng
- Institut für Physikalische Chemie, Georg-August-Universität Göttingen, Tammannstrasse 6, 37077 Göttingen, Germany
| | - Yingying Cai
- Institut für Physikalische Chemie, Georg-August-Universität Göttingen, Tammannstrasse 6, 37077 Göttingen, Germany
| | - Luise Fanslau
- Institut für Physikalische Chemie, Georg-August-Universität Göttingen, Tammannstrasse 6, 37077 Göttingen, Germany
| | - Philipp Vana
- Institut für Physikalische Chemie, Georg-August-Universität Göttingen, Tammannstrasse 6, 37077 Göttingen, Germany
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19
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He JH, Cheng YY, Zhang QQ, Liu H, Huang CZ. Carbon dots-based fluorescence resonance energy transfer for the prostate specific antigen (PSA) with high sensitivity. Talanta 2020; 219:121276. [DOI: 10.1016/j.talanta.2020.121276] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2020] [Revised: 05/23/2020] [Accepted: 05/25/2020] [Indexed: 01/09/2023]
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20
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Du F, Guo Z, Cheng Z, Kremer M, Shuang S, Liu Y, Dong C. Facile synthesis of ultrahigh fluorescence N,S-self-doped carbon nanodots and their multiple applications for H 2S sensing, bioimaging in live cells and zebrafish, and anti-counterfeiting. NANOSCALE 2020; 12:20482-20490. [PMID: 33026004 DOI: 10.1039/d0nr04649c] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/11/2023]
Abstract
Green-emissive N,S-self-doped carbon nanodots (N,S-self-CNDs) with an ultrahigh fluorescence (FL) quantum yield (QY) of 60% were synthesized using methyl blue as the only source by a facile hydrothermal approach. The -NH- and -SOx- groups of methyl blue were simultaneously used as nitrogen and sulfur co-dopants to dope into CNDs. The prepared N,S-self-CNDs have an extremely large Stokes shift (∼130 nm) and excitation-independent fluorescence, and are demonstrated to have multiple applications for H2S sensing, bioimaging and anti-counterfeiting. Taking advantage of their excellent optical properties, N,S-self-CNDs could act as a label-free nanoprobe for the detection of H2S. The FL of N,S-self-CNDs could be significantly quenched by H2S because of dynamic quenching, along with excellent selectivity toward H2S from 0.5-15 μM with a detection limit of 46.8 nM. They were successfully employed for the analysis of H2S content in actual samples. Additionally, the nanoprobe was extended to bioimaging in both living PC12 cells and zebrafish, and monitoring H2S in live cells. Furthermore, N,S-self-CNDs have been used to prepare highly fluorescent polymer films by incorporating N,S-self-CNDs in polyvinyl alcohol (PVA). The as-prepared N,S-self-CNDs/PVA films show a prominent dual-mode FL property, implying that they are potential nanomaterials in the anti-counterfeiting field.
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Affiliation(s)
- Fangfang Du
- Institute of Environmental Science, and School of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, China.
| | - Zhonghui Guo
- Institute of Environmental Science, and School of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, China.
| | - Zhe Cheng
- Institute of Environmental Science, and School of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, China.
| | - Marius Kremer
- Institut für Anorganische Chemie, RWTH Aachen University, Landoltweg 1, 52074 Aachen, Germany
| | - Shaomin Shuang
- Institute of Environmental Science, and School of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, China.
| | - Yang Liu
- Institute of Environmental Science, and School of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, China.
| | - Chuan Dong
- Institute of Environmental Science, and School of Chemistry and Chemical Engineering, Shanxi University, Taiyuan 030006, China.
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21
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Ma J, Gao MX, Zuo H, Li YF, Gao PF, Huang CZ. Distance-Dependence Study of Plasmon Resonance Energy Transfer with DNA Spacers. Anal Chem 2020; 92:14278-14283. [DOI: 10.1021/acs.analchem.0c03991] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Jun Ma
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Ming Xuan Gao
- Key Laboratory of Luminescent and Real-Time Analytical System (Southwest University), Chongqing Science and Technology Bureau, College of Chemistry and Chemical Engineering, Chongqing 400715, China
| | - Hua Zuo
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Yuan Fang Li
- Key Laboratory of Luminescent and Real-Time Analytical System (Southwest University), Chongqing Science and Technology Bureau, College of Chemistry and Chemical Engineering, Chongqing 400715, China
| | - Peng Fei Gao
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
| | - Cheng Zhi Huang
- Key Laboratory of Luminescence Analysis and Molecular Sensing (Southwest University), Ministry of Education, College of Pharmaceutical Sciences, Southwest University, Chongqing 400715, China
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22
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ZnO micron rods as single dielectric resonator for optical sensing. Anal Chim Acta 2020; 1109:107-113. [DOI: 10.1016/j.aca.2020.03.009] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 03/03/2020] [Accepted: 03/04/2020] [Indexed: 01/11/2023]
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