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Engineering high-performance chemiluminescent probes via enzymatic pocket targeting: high-throughput screening for ultralong afterglow imaging of orthotopic hepatocellular carcinoma

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Science China Chemistry 2025年

作者： Shuai Huang Shuaige bai Ting Luo Bin Feng Min Liu Fan Zheng Shuang Huang Yanpeng Fang Dan Ding Wenbin Zeng xiangya School of Pharmaceutical Sciences Central South University College of Life Sciences Nankai University

Hepatocellular carcinoma （HCC） is a highly aggressive liver malignancy and the main form of liver cancer. Early diagnosis and treatment of HCC can effectively reduce mortality. Carboxylesterase （CE）-specific detection and imaging can be used for early diagnosis and image-guided surgical of HCC. However, traditional optical probes suffer from poor selectivity and low imaging signal-to-noise ratio. Here, we have constructed a series of chemiluminescent probes for carboxylesterase detection based on the strategy of enzymatic pocket-oriented steric tailoring techniques. The probes with different unique and excellent properties have been obtained through the structure-based steric hindrance adjustment on the recognition site. Here, CE-2 has been successfully used for high-throughput screening of rapid carboxylesterase inhibitors due to its extremely low detection limit (2.5×10-4U mL-1) and fast recognition ability. CE-3 has been successfully used for image-guided surgery of orthotopic hepatocellular carcinoma due to its ultra-long chemiluminescence imaging （over 12 h） of hepatocellular carcinoma. This study may promote advances in the rapid detection and screening of inhibitory drugs for CE and the field of surgical navigation in HCC.

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Special focus on deep learning for computer vision

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Science China(Information Sciences) 2020年第2期63卷 5-6页

作者： xiang bai Yanwei PANG Guofeng ZHANG Huazhong University of Science and Technology tianjin University Zhejiang University

Deep learning has achieved great successes in many research areas. In particular, remarkable progresses have been made in the field of computer vision. This special focus, which will also appear in the next few issues... 详细信息

关键词： image Special focus on deep learning for computer vision

Voltage-driven charge-mediated fast 180 degree magnetization switching in nanoheterostructure at room temperature

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npj Computational Materials 2017年第1期3卷 137-145页

作者： Min Yi Hongbin Zhang bai-xiang Xu Department of Materials and Earth Sciences Technische Universitat Darmstadt64287 DarmstadtGermany

Voltage-driven 180°magnetization switching without electric current provides the possibility for revolutionizing the *** demonstrated the voltage-driven charge-mediated 180°magnetization switching at room temperature by combining firstprinciples calculations and temperature-dependent magnetization dynamics *** electric field(E)-induced interface charge is found to allow a giant modulation of the magnetic anisotropy(K)of the *** K is revealed to vary linearly with respect to E and the epitaxial *** dynamics simulations using the so-obtained K show that both inplane and perpendicular 180°switching can be achieved by E *** temperature effect renders the 180°switching as probability *** analysis indicates a fast(around 4 ns)and low-error-probability 180°switching achievable at room temperature by controlling the magnitude of E and the pulse *** study inspires the rational design of miniaturized nanoscale spintronic devices where thermal fluctuation has a great impact.

关键词： magnetization charge render

Electric field induced magnetization reversal in magnet/insulator nanoheterostructure

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International Journal of Smart and Nano Materials 2020年第3期11卷 298-309页

作者： Qihua Gong Min Yi bai-xiang Xu Institute of Materials Science Technische Universität DarmstadtDarmstadtGermany State Key Lab of Mechanics and Control of Mechanical Structures&Key Lab for Intelligent Nano Materials and Devices of Ministry of Education&College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics(NUAA)NanjingChina

Electric-field control of magnetization reversal is promising for lowpower *** in a magnet/insulator nanoheterostructure which is the fundamental unit of magnetic tunneling junction in spintronics,we demonstrate the electric field induced 180°magne-tization switching through a multiscale study combining firstprinciples calculations and finite-temperature magnetization *** the model nanoheterostructure MgO/Fe/Cu with insu-lator MgO,soft nanomagnet Fe and capping layer Cu,through firstprinciples calculations we find its magnetocrystalline anisotropy linearly varying with the electric *** finite-temperature magnetization dynamics which is informed by the first-principles results,we disclose that a room-temperature 180°magnetization switching with switching probability higher than 90%is achievable by controlling the electric-field pulse and the nanoheterostructure *** 180°switching could be fast realized within 5 *** study is useful for the design of low-power,fast,and miniaturized nanoscale electric-field-controlled spintronics.

关键词： Magnetization reversal nanoheterostructure electric field spintronics multiscale simulations switching probability

3D non-isothermal phase-field simulation of microstructure evolution during selective laser sintering

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npj Computational Materials 2019年第1期5卷 442-453页

作者： Yangyiwei Yang Olav Ragnvaldsen Yang bai Min Yi bai-xiang Xu Mechanics of Functional Materials Division Institute of Materials ScienceTechnische Universität Darmstadt64287 DarmstadtGermany Department of Materials Science and Engineering Norwegian University of Science and Technology7491 TrondheimNorway State Key Laboratory of Mechanics and Control of Mechanical Structures&Key Laboratory for Intelligent Nano Materials and Devices of Ministry of Education&College of Aerospace Engineering Nanjing University of Aeronautics and Astronautics(NUAA)210016 NanjingChina

During selective laser sintering(SLS),the microstructure evolution and local temperature variation interact *** of conventional isothermal sintering model is thereby insufficient to describe *** this work,we construct our model from entropy level,and derive the non-isothermal kinetics for order parameters along with the heat transfer equation coupled with microstructure *** from partial melting and laser-powder interaction are also *** then perform 3D finite element non-isothermal phase-field simulations of the SLS single *** confront the high computation cost,we propose a novel algorithm analogy to minimum coloring problem and manage to simulate a system of 200 grains with grain tracking algorithm using as low as 8 non-conserved order ***,applying the model to SLS of the stainless steel 316L powder,we identify the influences of laser power and scan speed on microstructural features,including the porosity,surface morphology,temperature profile,grain geometry,and *** further validate the first-order kinetics of the transient porosity during densification,and demonstrate the applicability of the developed model in predicting the linkage of densification factor to the specific energy input during SLS.

关键词： microstructure isothermal kinetics

Optimization of CZTSSe thin film solar cell performance using PbS back surface field layer

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Optoelectronics Letters 2025年

作者： WENJING LUO ZHIJIAN bai YUMING XUE LUOXIN WANG YANHONG DING HONGLI DAI tianjin Key Laboratory of Film Electronic & Communication Devices， School of Electronics Information Engineering， tianjin University of Technology School of Materials Science and Engineering ，Jilin University

CZTSSe is an Earth-abundant， environmentally friendly， and low-cost material， with a current record power conversion efficiency of 14.9%， This result is well below the prediction of the Shockley-Queisser limit. To improve the performance of solar cells， a layer of PbS (BSF) was added to the CZTSSe， which was simulated using the SCAPS-1D software. The optimal photovoltaic performance of AZO/ZnO/CdS/CZTSSe/PbS/Mo was studied by changing the parameters of the CZTSSe absorption layer and PbS layer. Studies have shown that the efficiency can be increased to 20.86% after using PbS.

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The Classification of Carbon Dots and the Relationship between Synthesis Methods and Properties

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Chinese Journal of Chemistry 2023年第17期41卷 2206-2216页

作者： Xin-xiang Zhao Song-Yuan Tao bai Yang State Key Laboratory of Supramolecular Structure and Materials Collegeof ChemistryJilin UniversityChangchunJilin 130012China

Comprehensive Summary,The carbon dots(CDs),as emerging carbon based nanomaterials,are a kind of fluorescent materials with wide application *** luminous CDs can simply be synthesized by a wide variety of easily accessible *** have excellent optical properties,high biocompatibility and low toxicity,which makes them be used in the fields of optics,biology,energy,and so *** this review,the classification,nomenclature,photoluminescence mechanism and property regulation of CDs are ***.

关键词： Nanoparticles Nanostructures Luminescence Fluorescence Polymerization Carbon dots Classification and nomenclature Structure and performance

Directional Edge Boxes： Exploiting Inner Normal Direction Cues forEffective Obiect Prooosal Generation

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Journal of Computer Science & Technology 2017年第4期32卷 701-713页

作者： xiang bai Zheng Zhang Hong-Yang Wang Wei Shen School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan ~3007~ China Key Laboratory of Specialty Fiber Optics and Optical Access Networks Shanghai University Shanghai 200444 China

Edges are important cues for localizing object proposals. The recent progresses to this problem are mostly driven by defining effective objectness measures based on edge cues. In this paper, we develop a new representation named directional edges on which each edge pixel is assigned with a direction toward object center, through learning a direction prediction model with convolutional neural networks in a holistic manner. Based on directional edges, two new objectness measures are designed for ranking object proposals. Experiments show that the proposed method achieves 97.1% object recall at an overlap threshold of 0.5 and 81.9% object recall at an overlap threshold of 0.7 at 1 000 proposals on the PASCAL VOC 2007 test dataset, which is superior to the state-of-the-art methods.

关键词： object proposal directional edge convolutional neural network

Application of multiwalled carbon nanotubes treated by potassium permanganate for determination of trace cadmium prior to flame atomic absorption spectrometry

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Journal of Environmental Sciences 2007年第10期19卷 1266-1271页

作者： XIAO Jun-ping ZHOU Qing-xiang bai Hua-hua Department of Chemistry University of Science and Technology Beijing Beijing 100083 China Henan Key Laboratory for Environmental Pollution Control School of Chemistry and Environmental Sciences Henan Normal University Xinxiang 453007 China

In this study we investigated the enrichment ability of oxidized multiwalled carbon nanotubes （MWCNTs） and established a new method for the determination of trace cadmium in environment with flame atomic absorption spectrometry. The MWCNTs were oxidized by potassium permanganate under appropriate conditions before use as preconcentration packing. Parameters influencing the recoveries of target analytes were optimized. Under optimal conditions, the target analyte exhibited a good linearity （R^2=0.9992） over the concentration range 0.5-50 ng/ml. The detection limit and precision of the proposed method were 0.15 ng/ml and 2.06%, respectively. The proposed method was applied to the determination of cadmium in real-world environmental samples and the recoveries were in the range of 91.3%-108.0%. All these experimental results indicated that this new procedure could be applied to the determination of trace cadmium in environmental waters.

关键词： multiwalled carbon nanombes (MWCNTs) solid-phase extraction flame atomic absorption spectrometry

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