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您的检索式：作者名="Xianghan Zhang"
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| 1 | Synthesis and Spectral Properties of Novel Water-soluble Indocyanine Dyes as Fluorescent Dyes for Proteins Detection显示文摘二新奇水溶性的 indocyanine 染料被综合。他们的化学结构被 1H NMR,红外, MS 和紫外力的技术证实。在不同溶剂的准备染料的吸收被测量。二染料展出了否定 solvatochromism,与吸收和排放最大值在的蓝移动(牛的浆液白朊) protonic 溶剂相对非 protonic 溶剂。处于免费状态和 BSA 的染料的荧光性质被调查。为 Dye2 的荧光紧张的重要改进面对 BSA 被观察。Dye2 能作为荧光灯被建议为在水的答案的 BSA 察觉的染料。 | Fu, Yile Wang, Lanying Zhang, Xianghan Lu, Tianqin Xie, Qianjie Shi, Zhen | 2011 | Chinese Journal of Chemistry2011，29，3： | 1 |
| 2 | Liposome trade-off strategy in mitochondria-targeted NIR-cyanine: balancing blood circulation and cell retention for enhanced antitumor phototherapy in vivo显示文摘Cancer phototheranostics involving optical imaging-guided photodynamic therapy(PDT)and photothermal therapy(PTT)is a localized noninvasive approach in treating cancer.Mitochondria-targeted near-infrared(NIR)cyanines are excellent therapeutic photosensitizers of cancer.However,most mitochondria-targeted cyanines exist in the form of hydrophobic structures,which in vivo may cause cyanine aggregation during blood circulation,resulting in poor biocompatibility and limited therapeutic efficacy.Therefore,we developed a trade-off strategy by encapsulating mitochondria-targeted cyanines into liposomal bilayers(CyBI7-LPs),which balanced hydrophilicity that favored blood circulation and hydrophobicity that enhanced mitochondria tumor targeting.Moreover,CyBI7-LPs greatly minimized photobleaching of cyanine as self-generated reactive oxygen species(ROS)could rapidly escape from the liposomal bilayer,affording enhanced PTT/PDT efficacy.Bioorthogonal-mediated targeting strategy was further employed to improve uptake of tumor cells by modifying the liposomal surface to generate CyBI7-LPB.The CyBI7-LPB probe produced a tumor-to-background ratio(TBR)of approximately 6.4 at 24 HPI.Guiding by highly sensitive imaging resulted in excellent anti-tumor therapy outcomes using CyBI7-LPB due to the enhanced photothermal and photodynamic effects.This proposed liposomal nanoplatform exhibited a simple and robust approach as an imaging-guided synergistic anti-tumor therapeutic strategy. | Xianghan Zhang Sumei Zhao Zhiqing Gao Jialin Zhou Yuqiong Xia Jie Tian Changhong Shi Zhongliang Wang | 2021 | Nano Research2021，14，7： | 0 |
| 3 | A Hybrid Model Based on Back-Propagation Neural Network and Optimized Support Vector Machine with Particle Swarm Algorithm for Assessing Blade Icing on Wind Turbines显示文摘With the continuous increase in the proportional use of wind energy across the globe,the reduction of power generation efficiency and safety hazards caused by the icing on wind turbine blades have attracted more consideration for research.Therefore,it is crucial to accurately analyze the thickness of icing on wind turbine blades,which can serve as a basis for formulating corresponding control measures and ensure a safe and stable operation of wind turbines in winter times and/or in high altitude areas.This paper fully utilized the advantages of the support vector machine(SVM)and back-propagation neural network(BPNN),with the incorporation of particle swarm optimization(PSO)algorithms to optimize the parameters of the SVM.The paper proposes a hybrid assessment model of PSO-SVM and BPNN based on dynamic weighting rules.Three sets of icing data under a rotating working state of the wind turbine were used as examples for model verification.Based on a comparative analysis with other models,the results showed that the proposed model has better accuracy and stability in analyzing the icing on wind turbine blades. | Xiyang Li Bin Cheng Hui Zhang Xianghan Zhang Zhi Yun | 2021 | Energy Engineering2021，118，6： | 0 |
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