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Global Riverine Export of Dissolved Lignin Constrained by Hydrology, Geomorphology, and Land-Cover

Global Biogeochemical Cycles 2023年第4期37卷 e2022GB007607-e2022GB007607页

作者： Hongyan Bao Ying Wu Xiaoqian Zhan Xiaona Wang Robert G. M. Spencer Peter J. Hernes Xiaojuan Feng Li-Chin Lee Jr-Chuan Huang Jingjing Zhang Hongwei Zhao Shuh-Ji Kao Jing Zhang State Key Laboratory of Marine Environmental Science College of Ocean and Earth Sciences Xiamen University Xiamen China H. Bao and Y. Wu Contribution: Conceptualization Formal analysis Data curation Writing - original draft Writing - review & editing Funding acquisition State Key Laboratory of Estuarine and Coastal Research East China Normal University Shanghai China Contribution: Conceptualization Writing - review & editing Funding acquisition Contribution: Data curation Visualization Contribution: Data curation Department of Earth Ocean and Atmospheric Science Florida State University Tallahassee FL USA Contribution: Writing - review & editing Department of Land Air and Water Resources University of California Davis CA USA State Key Laboratory of Vegetation and Environmental Change Institute of Botany Chinese Academy of Sciences Beijing China Department of Geography National Taiwan University Taipei Taiwan State Key Laboratory of Marine Resource Utilization in South China Sea Hainan University Haikou China Center for Eco-Environment Restoration of Hainan Province College of Environment and Ecology Hainan University Haikou China Contribution: Writing - review & editing Funding acquisition Contribution: Conceptualization Writing - review & editing

The land-to-ocean export of terrestrial dissolved organic matter (tDOM) links the two largest organic carbon (OC) pools on Earth and is changing due to anthropogenic activity and climate change. Lignin phenols are often utilized as diagnostic markers for tDOM in aquatic systems, but information on the global dissolved lignin flux is still uncertain as linkages between future changes in export and global changes are poorly constrained. Thirty-two new measurements from 15 Chinese rivers and 548 measurements collected from 97 global rivers were combined to analyze its distributions, fluxes, and potential controls. Dissolved lignin concentrations (in μg L−1) varied by more than two orders of magnitude (0.7–138 μg L−1) and were positively correlated with dissolved OC (DOC) concentrations globally, suggesting coupled export of dissolved lignin and DOC. The carbon-normalized lignin yields (in mg g OC−1) varied by an order of magnitude (<1–30 mg (g OC)−1) and was significantly lower in the Arctic than in temperate and tropical rivers. Correlation analyses indicated that the dissolved lignin flux (FLignin) was mainly affected by water discharge and mean basin slope, while the area-normalized yield of dissolved lignin as well as discharge-weighted lignin concentration strongly and positively correlated with forest coverage. We, for the first time, estimated global FLignin ranges from 0.58 to 1.2 Tg yr−1 by using different approaches. Our synthesis reveals that future changes in land-cover that is driven by climate change as well as other human activities would impose a significant influence on the land-to-ocean export of tDOM.

关键词： dissolved lignin land-cover global flux terrestrial organic matter

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Exploring Uncertainty in Image Segmentation Ensembles

Exploring Uncertainty in Image Segmentation Ensembles

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20th Eurographics/IEEE VGTC Conference on visualization, EuroVis 2018

作者： Fröhler, B. Möller, T. Weissenböck, J. Hege, H.-C. Kastner, J. Heinzl, C. Research Group Computed Tomography University of Applied Sciences Upper Austria Austria Visualization and Data Analysis Research Group Faculty of Computer Science University of Vienna Austria Visual Data Analysis Department Zuse Institute Berlin Germany

ISBN: (纸本)9783038680659

Finding the most accurate image segmentation involves analyzing results from different algorithms or parameterizations. In this work, we identify different types of uncertainty in this analysis that are represented by the results of probabilistic algorithms, by the local variability in the segmentation, and by the variability across the segmentation ensemble. We propose visualization techniques for the analysis of such types of uncertainties in segmentation ensembles. For a global analysis we provide overview visualizations in the image domain as well as in the label space. Our probability probing and scatter plot based techniques facilitate a local analysis. We evaluate our techniques using a case study on industrial computed tomography data. © 2018 The Author(s)

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Asymptotically efficient parameter estimation for ordinary differential equations

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science China Mathematics 2017年第11期60卷 2263-2286页

作者： PANG TianXiao YAN PeiSi ZHOU Harrison H. School of Mathematical Sciences Zhejiang University Center for Computing and Visualization Brown University Department of Statistics and Data Science Yale University

Parameter estimation for ordinary differential equations arises in many fields of science and engineering. To be the best of our knowledge, traditional methods are often either computationally intensive or inaccurate for statistical inference. Ramsay et al.(2007) proposed a generalized profiling procedure. It is easily implementable and has been demonstrated to have encouraging numerical performance. However, little is known about statistical properties of this procedure. In this paper, we provide a theoretical justification of the generalized profiling procedure. Under some regularity conditions, the procedure is shown to be consistent for a broad range of tuning parameters. When the tuning parameters are sufficiently large, the procedure can be further shown to be asymptotically normal and efficient.

关键词： asymptotic efficiency consistency generalized profiling procedure ordinary differential equations splines

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Visible Light Responsive Dinuclear Zinc Complex Consisting of Proximally Arranged Two d10-Zinc Centers**

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Angewandte Chemie 2023年第50期135卷

作者： Dr. Yoshimasa Wada Takahiro Maruchi Reon Ishii Prof. Dr. Yusuke Sunada Institute of Industrial Science The University of Tokyo 4-6-1 Komaba Meguro-ku 153-8505 Tokyo Japan Department of Applied Chemistry School of Engineering The University of Tokyo 4-6-1 Komaba Meguro-ku 153-8505 Tokyo Japan Contribution: Conceptualization (equal) Funding acquisition (lead) Investigation (equal) Methodology (lead) Project administration (equal) Supervision (lead) Visualization (lead) Writing - original draft (lead) Writing - review & editing (equal) Contribution: Data curation (lead) Investigation (lead) Validation (lead) Visualization (supporting) Contribution: Conceptualization (supporting) Investigation (supporting) Validation (supporting) JST PRESTO 4-1-8 Honcho 332-0012 Kawaguchi Saitama Japan Contribution: Conceptualization (lead) Funding acquisition (lead) Methodology (equal) Project administration (equal) Supervision (equal) Writing - original draft (equal) Writing - review & editing (lead)

So far, Zn(II)-based d 10 complexes have been known to be colorless unless they are accompanied by chromophoric groups, and therefore both fundamental and advanced photophysical performance of Zn centers of complexes, especially in visible-light regions has been unexplored. Here, we first demonstrate a dinuclear Zn(II) complex that shows visible light absorption using an orbital distributed over closely contacted two Zn centers experimentally determined by X-ray crystallography. A contrastive study demonstrated that intermetallic orbital interaction in dinuclear Zn(II) complex is responsible for capturing visible light to exhibit orangish yellow color, whereas an analogous one without such an interaction is colorless. This work demonstrates that introduction of Zn−Zn interactions to Zn(II) molecules contradicts the common notion that Zn is unresponsive to visible light and expands the photophysical field of zinc chemistry.

关键词： d-Block Element Multinuclear Metal Complexes Visible-Light Absorption Zinc Zn−Zn Interactions

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Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge

arXiv

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arXiv 2024年

作者： LaBella, Dominic Baid, Ujjwal Khanna, Omaditya McBurney-Lin, Shan McLean, Ryan Nedelec, Pierre Rashid, Arif Tahon, Nourel Hoda Altes, Talissa Bhalerao, Radhika Dhemesh, Yaseen Godfrey, Devon Hilal, Fathi Floyd, Scott Janas, Anastasia Kazerooni, Anahita Fathi Kirkpatrick, John Kent, Collin Kofler, Florian Leu, Kevin Maleki, Nazanin Menze, Bjoern Pajot, Maxence Reitman, Zachary J. Rudie, Jeffrey D. Saluja, Rachit Velichko, Yury Wang, Chunhao Warman, Pranav Adewole, Maruf Albrecht, Jake Anazodo, Udunna Anwar, Syed Muhammad Bergquist, Timothy Chen, Sully Francis Chung, Verena Conte, Gian-Marco Dako, Farouk Eddy, James Ezhov, Ivan Khalili, Nastaran Iglesias, Juan Eugenio Jiang, Zhifan Johanson, Elaine Van Leemput, Koen Li, Hongwei Bran Linguraru, Marius George Liu, Xinyang Mahtabfar, Aria Meier, Zeke Moawad, Ahmed W. Mongan, John Piraud, Marie Shinohara, Russell Takeshi Wiggins, Walter F. Abayazeed, Aly H. Akinola, Rachel Jakab, András Bilello, Michel de Verdier, Maria Correia Crivellaro, Priscila Davatzikos, Christos Farahani, Keyvan Freymann, John Hess, Christopher Huang, Raymond Lohmann, Philipp Moassefi, Mana Pease, Matthew W. Vollmuth, Phillipp Sollmann, Nico Diffley, David Nandolia, Khanak K. Warren, Daniel I. Hussain, Ali Fehringer, Pascal Bronstein, Yulia Deptula, Lisa Stein, Evan G. Taherzadeh, Mahsa de Oliveira, Eduardo Portela Haughey, Aoife Kontzialis, Marinos Saba, Luca Turner, Benjamin Brüßeler, Melanie M.T. Ansari, Shehbaz Gkampenis, Athanasios Weiss, David Maximilian Mansour, Aya Shawali, Islam H. Yordanov, Nikolay Stein, Joel M. Hourani, Roula Moshebah, Mohammed Yahya Abouelatta, Ahmed Magdy Rizvi, Tanvir Willms, Klara Martin, Dann C. Okar, Abdullah D'Anna, Gennaro Taha, Ahmed Sharifi, Yasaman Faghani, Shahriar Kite, Dominic Pinho, Marco Haider, Muhammad Ammar Aristizabal, Alejandro Karargyris, Alexandros Kassem, Hasan Pati, Sarthak Sheller, Micah Alonso-Basanta, Michelle Villanueva-Meyer, Javier Rauschecker, Andreas M. Nada, Ayman Aboian, Mariam Flanders, Adam E. Wiestler, Benedikt Bakas, Spyridon Ca Duke University Medical Center Department of Radiation Oncology DurhamNC United States Division of Computational Pathology Department of Pathology Laboratory Medicine Indiana University School of Medicine IndianapolisIN United States Center for Federated Learning in Medicine Indiana University IndianapolisIN United States Department of Neurosurgery Thomas Jefferson University PhiladelphiaPA United States University of California San FranciscoCA United States Yale University New HavenCT United States Department of Radiation Oncology Perelman School of Medicine University of Pennsylvania PhiladelphiaPA United States University of Missouri ColumbiaMO United States Department of Biostatistics and Health Data Science Indiana University School of Medicine IndianapolisIN United States Children's Hospital of Philadelphia University of Pennsylvania PhiladelphiaPA United States University of Pennsylvania PhiladelphiaPA United States Helmholtz AI Helmholtz Munich Germany Department of Informatics Technical University Munich Germany TranslaTUM - Central Institute for Translational Cancer Research Technical University of Munich Germany Department of Diagnostic and Interventional Neuroradiology School of Medicine Klinikum rechts der Isar Technical University of Munich Germany San FranciscoCA United States Biomedical Image Analysis and Machine Learning Department of Quantitative Biomedicine University of Zurich Switzerland Department of Neuroradiology Technical University of Munich Munich Germany University of San Diego CA United States Cornell University IthacaNY United States Department of Radiology Northwestern University EvanstonIL United States Duke University Medical Center School of Medicine DurhamNC United States Lab Crestview Radiology Lagos Nigeria Sage Bionetworks United States McGill University MontrealQC Canada Children's National Hospital WashingtonDC United States George Washington University WashingtonDC United State

We describe the design and results from the BraTS 2023 Intracranial Meningioma Segmentation Challenge. The BraTS Meningioma Challenge differed from prior BraTS Glioma challenges in that it focused on meningiomas, which are typically benign extra-axial tumors with diverse radiologic and anatomical presentation and a propensity for multiplicity. Nine participating teams each developed deep-learning automated segmentation models using image data from the largest multi-institutional systematically expert annotated multilabel multi-sequence meningioma MRI dataset to date, which included 1000 training set cases, 141 validation set cases, and 283 hidden test set cases. Each case included T2, T2/FLAIR, T1, and T1Gd brain MRI sequences with associated tumor compartment labels delineating enhancing tumor, non-enhancing tumor, and surrounding non-enhancing T2/FLAIR hyperintensity. Participant automated segmentation models were evaluated and ranked based on a scoring system evaluating lesion-wise metrics including dice similarity coefficient (DSC) and 95% Hausdorff Distance. The top ranked team had a lesion-wise median dice similarity coefficient (DSC) of 0.976, 0.976, and 0.964 for enhancing tumor, tumor core, and whole tumor, respectively and a corresponding average DSC of 0.899, 0.904, and 0.871, respectively. These results serve as state-of-the-art benchmarks for future pre-operative meningioma automated segmentation algorithms. Additionally, we found that 1286 of 1424 cases (90.3%) had at least 1 compartment voxel abutting the edge of the skull-stripped image edge, which requires further investigation into optimal pre-processing face anonymization steps. © 2024, CC BY.

关键词： Tumors

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Living cell-laden hydrogels: Unleashing the future of responsive biohybrid systems

Responsive Materials

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Responsive Materials 2023年第1期1卷

作者： Xuejia Hu Bing Lei Sen-Sen Li Lu-Jian Chen Quan Li Department of Electronic Engineering School of Electronic Science and Engineering Fujian Key Laboratory of Ultrafast Laser Technology and Applications Xiamen University Xiamen China Contribution: Conceptualization (equal) Data curation (equal) Funding acquisition (supporting) Writing - original draft (lead) Writing - review & editing (lead) Contribution: Formal analysis (supporting) Visualization (equal) Writing - original draft (equal) Writing - review & editing (equal) Contribution: Funding acquisition (supporting) Visualization (supporting) Writing - original draft (supporting) Writing - review & editing (supporting) Contribution: Conceptualization (equal) Funding acquisition (lead) Project administration (equal) Resources (lead) Writing - original draft (equal) Writing - review & editing (equal) Institute of Advanced Materials and School of Chemistry and Chemical Engineering Southeast University Nanjing China Lu-Jian Chen and Quan Li. Contribution: Conceptualization (equal) Validation (supporting) Writing - original draft (supporting) Writing - review & editing (supporting)

Responsive biohybrid systems have the potential to overcome limitations of both natural and artificial machines in terms of efficiency, accuracy, and functionality. As functional units, living cells act as bricks for building biohybrid machines, where the extracellular matrix mimics hydrogels to act as ideal biological concrete. Combining living cells with hydrogels offers unique advantages in simulating human tissues or organs, which unleashes the future of biohybrid systems, and thus has attracted extensive attention. Herein, recent progress in cell-laden hydrogel-based responsive biohybrid systems is summarized to provide a basic understanding of how these systems are built from the bottom up and how to achieve the complex functions. This review focuses on advanced manufacturing technologies for responsive biohybrid systems, including laden cells in hydrogel matrices, three-dimensional bioprinting, and microfluidic manufacturing. Subsequently, the innovative applications of these works, including actuators, sensors, and engineered functional materials, are presented, along with different triggering mechanisms that are highlighted. Finally, the current challenges and future opportunities in the field are addressed. This review provides a unique perspective and is hoped to inspire fields such as biohybrid technologies, soft robots, and tissue engineering.

关键词： hydrogel living cell responsive biohybrid system soft robot

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Biaxially-Strained Phthalocyanine at Polyoxometalate@Carbon Nanotube Heterostructure Boosts Oxygen Reduction Catalysis

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Angewandte Chemie 2023年第42期135卷

作者： Prof. Sheng Zhu Lingtong Ding Xuehuan Zhang Kun Wang Prof. Xiao Wang Prof. Feng Yang Prof. Gaoyi Han Institute of Molecular Science Key Lab of Materials for Energy Conversion and Storage of Shanxi Province Key Laboratory of Chemical Biology and Molecular Engineering of Education Ministry Shanxi University Taiyuan 030006 China Institute for Carbon-Based Thin Film Electronics Peking University Shanxi (ICTFE-PKU) Taiyuan 030012 China Contribution: Formal analysis (lead) Funding acquisition (lead) Methodology (lead) Resources (lead) Writing - original draft (lead) Writing - review & editing (lead) Institute of Technology for Carbon Neutrality Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China Contribution: Data curation (equal) Methodology (equal) Validation (equal) Visualization (equal) Contribution: Formal analysis (supporting) Investigation (supporting) Department of Chemistry Southern University of Science and Technology Shenzhen 518055 China Contribution: Formal analysis (equal) Funding acquisition (supporting) Methodology (supporting) Visualization (equal) Writing - review & editing (supporting) Contribution: Funding acquisition (supporting) Investigation (equal) Methodology (equal) Writing - review & editing (supporting) Contribution: Project administration (supporting) Supervision (equal)

Iron phthalocyanine (FePc) with unique FeN 4 site has attracted increasing interests as a promising non-precious catalyst. However, the plane symmetric structure endows FePc with undesired catalytic performance toward the oxygen reduction reaction (ORR). Here, we report a novel one-dimensional heterostructured ORR catalyst by coupling FePc at polyoxometalate-encapsulated carbon nanotubes (FePc-{PW 12 }@NTs) using host-guest chemistry. The encapsulation of polyoxometalates can induce a local tensile strain of single-walled NTs to strengthen the interactions with FePc. Both the strain and curvature effects of {PW 12 }@NT scaffold tune the geometric structure and electronic localization of FeN 4 centers to enhance the ORR catalytic performance. As expected, such a heterostructured FePc-{PW 12 }@NT electrocatalyst exhibits prominent durability, methanol tolerance, and ORR activity with a high half-wave potential of 0.90 V and a low Tafel slope of 30.9 mV dec −1 in alkaline medium. Besides, the assembled zinc-air battery demonstrates an ultrahigh power density of 280 mW cm −2 , excellent charge/discharge ability and long-term stability over 500 h, outperforming that of the commercial Pt/C+IrO 2 cathode. This study offers a new strategy to design novel heterostructured catalysts and opens a new avenue to regulate the electrocatalytic performance of phthalocyanine molecules.

关键词： Carbon Nanotubes Electrocatalyst Oxygen Reduction Phthalocyanine Polyoxometalates

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Evolutionary Algorithm Directed Synthesis of Mixed Anion Compounds LaF2X (X=Br, I) and LaFI2

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Angewandte Chemie 2023年第30期135卷

作者： Dr. Daichi Kato Dr. Peng Song Dr. Hiroki Ubukata Haruki Taguro Dr. Cédric Tassel Dr. Kohei Miyazaki Prof. Takeshi Abe Dr. Kousuke Nakano Prof. Kenta Hongo Prof. Ryo Maezono Prof. Hiroshi Kageyama Department of Energy and Hydrocarbon Chemistry Graduate School of Engineering Kyoto University Nishikyo-ku Kyoto 615-8510 Japan PRESTO Japan Science and Technology Agency (JST) Kawaguchi Saitama 332-0012 Japan Contribution: Data curation (lead) Formal analysis (lead) Funding acquisition (lead) Investigation (lead) Methodology (lead) Project administration (lead) Resources (supporting) Supervision (lead) Validation (equal) Visualization (equal) Writing - original draft (lead) Writing - review & editing (lead) School of Information Science JAIST Asahidai 1-1 Nomi Ishikawa 923-1292 Japan Contribution: Data curation (supporting) Formal analysis (supporting) Funding acquisition (supporting) Methodology (supporting) Software (supporting) Validation (supporting) Writing - original draft (supporting) Contribution: Formal analysis (supporting) Writing - original draft (supporting) Contribution: Data curation (supporting) Contribution: Data curation (supporting) Formal analysis (supporting) Writing - original draft (supporting) Contribution: Funding acquisition (supporting) Resources (supporting) Writing - original draft (supporting) Center for Basic Research on Materials (CBRM) National Institute for Materials Science (NIMS) 1-2-1 Sengen Tsukuba Ibaraki 305-0047 Japan Contribution: Writing - original draft (supporting) Research Center for Advanced Computing Infrastructure JAIST Asahidai 1-1 Nomi Ishikawa 923-1292 Japan Contribution: Conceptualization (lead) Funding acquisition (lead) Project administration (lead) Resources (lead) Supervision (lead) Validation (lead) Writing - original draft (supporting)

Mixed-anion compounds have attracted growing attentions, but their synthesis is challenging, making a rational search desirable. Here, we explored LaF 3 -LaX 3 (X=Cl, Br, I) system using ab initio structure searches based on evolutionary algorithms, and predicted LaF 2 X and LaFX 2 (X=Br, I), which are respectively isostructural with LaHBr 2 and YH 2 I, consisting of layered La-F blocks with single and double ordered honeycomb lattices, separated by van der Waals gaps. We successfully synthesized these compounds: LaF 2 Br and LaFI 2 crystallize in the predicted structure, while LaF 2 I is similar to the predicted one but with different layer stacking. LaF 2 I exhibits fluoride ion conductivity comparable to that of non-doped LaF 3 , and has the potential to show better ionic conductivity upon appropriate doping, given the theoretically lower diffusion energy barrier and the presence of soft iodine anions. This study shows the structure prediction using evolutionary algorithms will accelerate the discovery of mixed-anion compounds in future, in particular those with an ordered anion arrangement.

关键词： Evolutionary Algorithm Fluoride Ion Conductor Mixed Anion

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Harmonic attentive multimodal neural network for movie recommendation

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Journal of Physics: Conference Series 2020年第2期1550卷

作者： J X Wang Y Guo T M Qi Q F Tang Department of Computer Science and Engineering East China University of Science and Technology Shanghai 200237 China Business Intelligence and Visualization Research Center National Engineering Laboratory for Big Data Distribution and Exchange Technologies Shanghai 200436 China Shanghai Engineering Research Center of Big Data & Internet Audience Shanghai 200072 China

A multimodal neural network based on harmonic self-attention was proposed for movie recommendation. This method can deal with the multi-source data and learn representations of users and items well. The multimodal neural network mainly consists of three sub-networks, ResNet, Bert, and LSTM. In addition, the harmonic self-attention mechanism can explore the user's preference from the perspective of time. Experimental results show that compared with other three latest recommendation methods, HSMNN shows better performance in terms of HR and NDCG.

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Enantiomeric NIR-II Emitting Rare-Earth-Doped Ag2Se Nanoparticles with Differentiated In Vivo Imaging Efficiencies

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Angewandte Chemie 2022年第45期134卷

作者： Qi Ding Dr. Jing Zhao Dr. Hongyu Zhang Chen Li Prof. Maozhong Sun Chen Chen Prof. Hengwei Lin Prof. Chuanlai Xu Prof. Hua Kuang Prof. Liguang Xu Key Laboratory of Synthetic and Biological Colloids Jiangnan University Wuxi Jiangsu 214122 P.R. China International Joint Research Laboratory for Biointerface and Biodetection State Key Laboratory of Food Science and Technology Jiangnan University Wuxi Jiangsu 214122 P.R. China Contribution: Data curation (equal) Formal analysis (equal) Investigation (equal) Methodology (equal) Resources (equal) Software (equal) Writing - original draft (equal) Department of Radiology Jiangnan University No. 1000 Hefeng Road Wuxi Jiangsu 214122 China Contribution: Funding acquisition (equal) Investigation (equal) Methodology (equal) Resources (equal) Software (equal) Visualization (equal) Contribution: Conceptualization (equal) Data curation (equal) Funding acquisition (equal) Investigation (equal) Methodology (equal) Project administration (equal) Resources (equal) Contribution: Resources (equal) Software (equal) Validation (equal) Visualization (equal) Writing - original draft (equal) Writing - review & editing (equal) Contribution: Conceptualization (equal) Investigation (equal) Writing - original draft (equal) Writing - review & editing (equal) Contribution: Methodology (equal) Project administration (equal) Resources (equal) Software (equal) Contribution: Conceptualization (equal) Funding acquisition (equal) Methodology (equal) Project administration (equal) Resources (equal) Writing - review & editing (equal) Contribution: Conceptualization (equal) Validation (equal) Visualization (equal) Writing - original draft (equal) Writing - review & editing (equal) Contribution: Conceptualization (equal) Supervision (equal) Writing - review & editing (equal) Contribution: Conceptualization (equal) Data curation (equal) Funding acquisition (equal) Supervision (equal) Validation (equal) Visualization (equal) Writing - original draft (equal) Writing - review & editing (equal)

Here, chiral second near-infrared (NIR-II) emitting rare-earth doped silver selenide nanoparticles (R- or S-Ag 2 Se:Nd/Yd/Er NPs) were fabricated, exhibiting circular dichroism peak at 850 nm and fluorescence peak at 1550 nm, with 145.7-fold enhanced intensity compared to the reported Ag 2 Se NPs. Compared with S-Ag 2 Se:Nd/Yd/Er NPs, imaging efficiency of R-Ag 2 Se:Nd/Yd/Er NPs in living cells was significantly improved due to a higher cellular uptake rate and 927.7-fold higher affinity. Furthermore, R-Ag 2 Se:Nd/Yd/Er NPs reached at the tumor 2-fold faster than S type of NPs in vivo. We discover that chirality leads to differences in the affinity between chiral Ag 2 Se:Nd/Yd/Er NPs and cluster of differentiation 44 (CD44) onto the surface of murine mammary carcinoma cell to cause different in vivo imaging efficiency. These results reveal that chiral Ag 2 Se:Nd/Yd/Er NPs have high photoluminescence intensity and high in vivo imaging efficiency reflecting wide applications in biomedical diagnosis.

关键词： Ag2Se Bioimaging Chirality Doped Nanoparticles Fluorescence Enhancement NIR-II Receptor

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