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Microwave-assisted synthesis of colorimetric and fluorometric dual-functional hybrid carbon nanodots for Fe^(3+) detection and bioimaging

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Chinese Chemical Letters 2021年第10期32卷 3189-3194页

作者： Yupeng Shi Jingjing Liu Yong Zhang Jianfeng Bao Jingliang Cheng Changqing Yi Key laboratory of functional Magnetic Resonance Imaging and Molecular Imaging(Henan Province) Department of MRIThe First Affiliated Hospital of Zhengzhou UniversityZhengzhou 450052China Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices School of Biomedical EngineeringSun Yat-sen UniversityShenzhen 518107China

Carbon nanodots(CDs) based fluorescent nanoprobes have recently drawn much attention in chemo-/bio-sensing and ***,it is still challenging to integrate the colorimetric and fluorometric dual readouts into a single ***,novel hybrid CDs(HCDs) are prepared by a simple microwave-assisted reaction of citric acid(CA),branched polyethyleneimine(BPEI) and potassium thiocyanate(KSCN).As-prepared HCDs show extraordinary properties,including excitation-dependent emission,satisfactory fluorescence quantum yield(46.8%),excellent biocompatibility and optical ***,the fluorescence intensity at 450 nm exhibits linear correlation over the Fe^(3+)concentration from 1 mmol/L to 150 mmol/L with a detection limit(LOD) of 52 nmol/***,the solution color changes from colorless to orange,and the absorbance at 460 nm increased linearly with Fe^(3+)concentration ranging from 0.02 mmol/L to 5 mmol/L(LOD:3.4 mmol/L).All the evidence illustrates that the HCDs can be conditioned for specific Fe^(3+)sensing with colorimetric and fluorometric dual readouts,which has also been verified with paper-based *** possible mechanism is attributed to the specific interactions between surface functional groups on the HCDs and Fe^(3+).Additionally,the HCDs are successfully applied in sensing Fe^(3+)in wastewater and living cells,demonstrating its potential applications in future environment monitoring and disease diagnosis.

关键词： Paper-based chip Carbon nanodots Colorimetric Fluorescence Fe^(3+)ions detection Dual-functional

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Complex dynamics and bifurcation analysis for a Beverton-Holt population model with Allee effect

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International Journal of Biomathematics 2023年第7期16卷 165-196页

作者： Karima Mokni Mohamed Ch-Chaoui mri laboratory FacultéPolydisciplinaire Khouribga Sultan Moulay Slimane University BP:145 Khouribga Principale25000Kingdom of Morocco

In this paper,we have derived a discrete evolutionary Beverton-Holt population *** model is built using evolutionary game theory methodology and takes into consideration the strong Allee effect related to predation *** have discussed the existence of the positive fixed point and examined its asymptotic ***,we demonstrated that the derived model exhibits Neimark-Sacker bifurcation when the maximal predator intensity is at lower *** chaotic behaviors are justified ***,to avoid these chaotic features and achieve asymptotic stability,we implement two chaos control methods.

关键词： Evolutionary game theory asymptotic stability Neimark-Sacker bifurcation chaos control

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Phase-sensitive fat suppression steady-state free procession sequence with phase correction

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Chinese Physics B 2008年第1期17卷 328-334页

作者：俎中良周堃张仕刚高篙包尚联 Beijing City Key laboratory of Medical Physics and Engineering Peking University Siemens Mindit mri Center Medical Physics Department Health Science Center of Peking University

Robust and fast fat suppression is a challenge in balanced steady-state free precession （SSFP） magnetic resonance imaging. Although single-acquisition phase-sensitive SSFP can provide fat-suppressed images in short scan time, phase errors, especially spatially-dependent phase shift, caused by a variety of factors may result in misplacement of fat and water voxels. In this paper, a novel phase correction algorithm was used to calibrate those phase errors during image reconstruction. This algorithm corrects phase by region growing, employing both the magnitude and the phase information of image pixels. Phantom and in vivo imagings were performed to validate the technique. As a result, excellent fat-suppressed images were acquired by using single-acquisition phase-sensitive SSFP with phase correction.

关键词： steady-state free precession fat suppression phase-sensitive phase correction

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Magnetic nanoparticles based cancer therapy: current status and applications

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Science China(Life Sciences) 2018年第4期61卷 400-414页

作者： Huan Zhang Xiao Li Liu Yi Fan Zhang Fei Gao Ga Long Li Yuan He Ming Li Peng Hai Ming Fan Key laboratory of Synthetic and Natural functional Molecule Chemistry of the Ministry of Education College of Chemistry and Materials Science Northwest University CAS Key laboratory for Biomedical Effects of Nanomaterials and Nanosafety National Center for Nanoscience and Technology

Nanotechnology holds a promising potential for developing biomedical nanoplatforms in cancer therapy. The magnetic nanoparticles, which integrate uniquely appealing features of magnetic manipulation, nanoscale heat generator, localized magnetic field and enzyme-mimics, prompt the development and application of magnetic nanoparticles-based cancer medicine. Considerable success has been achieved in improving the magnetic resonance imaging(mri) sensitivity, and the therapeutic function of the magnetic nanoparticles should be given adequate attention. This work reviews the current status and applications of magnetic nanoparticles based cancer therapy. The advantages of magnetic nanoparticles that may contribute to improved therapeutics efficacy of clinic cancer treatment are highlighted here.

关键词： magnetic nanoparticles therapeutic delivery magnetic hyperthermia treatment theranostics

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Learning block-structured incoherent dictionaries for sparse representation

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Science China(Information Sciences) 2015年第10期58卷 79-93页

作者： ZHANG YongQin XIAO JinSheng LI ShuHong SHI CaiYun XIE GuoXi School of Information Science and Technology Northwest University School of Electronic Information Wuhan University College of Computer and Information Engineering Henan University of Economics and Law Shenzhen Key laboratory for mri Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences

Dictionary learning is still a challenging problem in signal and image processing. In this paper, we propose an efficient block-structured incoherent dictionary learning algorithm for sparse representations of image signals. The constrained minimization of dictionary learning is achieved by iteratively alternating between sparse coding and dictionary update. Without relying on any prior knowledge of the group structure for the input data, we develop a two-stage clustering method that identifies the underlying block structure of the dictionary under certain restricted constraints. The two-stage clustering method mainly consists of affinity propagation and agglomerative hierarchical clustering. To meet the conditions of both the upper bound and the lower bound of the mutual coherence of dictionary atoms, we introduce a regularization term for the objective function to adjust the block coherence of the overcomplete dictionary. The experiments on synthetic data and real images demonstrate that the proposed dictionary learning algorithm has lower representation error, higher visual quality and better reconstructed results than most of the state-of-the-art methods.

关键词： dictionary learning sparse representation sparse coding block sparsity mutual coherence

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Selective Aberrant functional–Structural Coupling of Multiscale Brain Networks in Subcortical Vascular Mild Cognitive Impairment

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Neuroscience Bulletin 2021年第3期37卷 287-297页

作者： Juanwei Ma Feng Liu Bingbing Yang Kaizhong Xue Pinxiao Wang Jian Zhou Yang Wang Yali Niu Jing Zhang Department of Radiology and Tianjin Key laboratory of functional Imaging Tianjin Medical University General HospitalTianjin 300052China Department of Rehabilitation Tianjin Medical University General HospitalTianjin 300052China

Subcortical vascular mild cognitive impairment(svMCI)is a common prodromal stage of vascular *** mounting evidence has suggested abnormalities in several single brain network metrics,few studies have explored the consistency between functional and structural connectivity networks in ***,we constructed such networks using resting-state f mri for functional connectivity and diffusion tensor imaging for structural connectivity in 30 patients with svMCI and 30 normal *** functional networks were then parcellated into topological modules,corresponding to several well-defined functional *** coupling between the functional and structural networks was finally estimated and compared at the multiscale network level(whole brain and modular level).We found no significant intergroup differences in the functional–structural coupling within the whole brain;however,there was significantly increased functional–structural coupling within the dorsal attention module and decreased functional–structural coupling within the ventral attention module in the svMCI *** addition,the svMCI patients demonstrated decreased intramodular connectivity strength in the visual,somatomotor,and dorsal attention modules as well as decreased intermodular connectivity strength between several modules in the functional network,mainly linking the visual,somatomotor,dorsal attention,ventral attention,and frontoparietal control *** was no significant correlation between the altered module-level functional–structural coupling and cognitive performance in patients with *** findings demonstrate for the first time that svMCI is reflected in a selective aberrant topological organization in multiscale brain networks and may improve our understanding of the pathophysiological mechanisms underlying svMCI.

关键词： Resting-state fmri Diffusion tensor imaging functional–structural coupling Modular architecture Subcortical vascular mild cognitive impairment

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All in one theranostic nanoplatform enables efficient anti-tumor peptide I delivery for triple-modal imaging guided cancer therapy

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Nano Research 2019年第3期12卷 593-599页

作者： Xiaoyan Qu Zhengqing Liu Bohan Ma Na Li Hongyang Zhao Tian Yang Yumeng Xue Xiaozhi Zhang Yongping Shao Ying Chang Jun Xu Bo Lei Yaping Du Frontier Institute of Science and Technology Key Laboratory of Shaanxi Province for Craniofacial Precision Medicine Research College of Stomatology B State Key Laboratory for Manufacturing Systems Engineering Instrument Analysis Center Xian Jiaotong University Xian 710000 China School of Materials Science and Engineering National Institute for Advanced Materials Center for Rare Earth and Inorganic Functional Materials Nankai I University Tianjin 300350 China Department of Radiation Oncology The First Affiliated Hospital of Xian Jiaotong University Xian 710000 China Center for functional Nanomaterials Brookhaven National Laboratory Upton New York 11973 USA

Developing a reliable system to efficiently and safely deliver peptide drugs into tumor tissues still remains a great challenge since the instability of peptide drugs and low ability to traverse the cell membrane. Herein, we constructed a multifunctional nanoplatform based on porous europium/gadolinium (Eu/Gd)-doped NaLa(MoO4)2 nanoparticles (NLM NPs) to deliver antitumor peptide of B-cell lymphoma/leukemia-2-like protein 11 (BIM) for cancer therapy. The porous NLM NPs exhibited inherent photoluminescent, magnetic and X-ray absorbable properties, which enable them for triple-modal bioimaging, including fluorescence, magnetic resonance imaging (mri) and computed tomography (CT). This triple-modal bioimaging can contribute to monitoring NLM NPs biodistribution and guiding therapy in vitro and in vivo. Furthermore, the NLM NPs showed negligible cytotoxicity in vitro and tissue toxicity in vivo. Importantly, NLM NPs could load the antitumor peptide of BIM and efficiently improve the resistance of peptide drugs to proteolysis. The BIM peptide was efficiently delivered into the tumor cells by NLM NPs, which can inhibit the growth and promote the apoptosis of cancer cells in vitro, significantly inhibit the tumor growth in vivo. Notably, NLM-BIM theranostic nanoplatform exhibits low systemic toxicity and fewer side effects in vivo. The NLM NPs can serve as a promising multifunctional peptide delivery nanoplatform for multi-modal bioimaging and cancer therapy.

关键词： rare earth nano particles multifu nctional property peptide delivery tumor imaging tumor therapy

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Myxofibrosarcoma of the scalp with difficult preoperative diagnosis:A case report and review of the literature

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World Journal of Clinical Cases 2020年第11期8卷 2350-2358页

作者： Xiao-Ting Ke Xiong-Feng Yu Ji-Yang Liu Fang Huang Mei-Gui Chen Qing-Quan Lai Department of CT/mri The Second Affiliated Hospital of Fujian Medical UniversityQuanzhou 362000Fujian ProvinceChina

BACKGROUND A myxofibrosarcoma(MFS)is a malignant fibroblastic tumor that tends to occur in the lower and upper *** reported incidence of head and neck MFSs is extremely *** report a 46-year-old male with“a neoplasm in the scalp”who was hospitalized and diagnosed with an MFS(highly malignant with massive necrotic lesions)based on histologic and immunohistochemistry *** magnetic resonance imaging manifestations did not demonstrate the“tail sign”mentioned in several studies,which resulted in a great challenge to establish an imaging *** treatment plan is closely associated with the anatomic location and histologic grade,and more importantly,aggressive surgery and adjuvant radiotherapy may be ***,we report the case and share some valuable information about the *** SUMMARY A 46-year-old male with“a neoplasm in the scalp for 6 mo”was ***,the tumor was about the size of a soybean,without algesia or *** patient ignored the growth,did not seek treatment,and thus,did not receive ***,the tumor increased to the size of an egg;there was no bleeding or *** family history was *** abnormalities were found upon laboratory testing,including routine hematologic,biochemistry,and tumor *** tomography showed an ovoid mass(6.25 cm×3.29 cm×3.09 cm in size)in the left frontal scalp with low density intermingled with equidense strips in adjacent areas of the *** resonance imaging revealed a lesion with an irregular surface and an approximate size of 3.55 cm×6.34 cm in the left frontal region,with clear boundaries and visible *** areas of the skull were damaged and the dura mater was *** enhancement showed an uneven enhancement *** was performed and postoperative adjuvant radiotherapy was administered to avoid recurrence or *** post-operative pathologic diagnosis confirmed an MFS.A repeat computed

关键词： Malignant fibrous histiocytoma Myxofibrosarcoma Scalp Magnetic resonance imaging Treatment Case report

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Emulsifier-free Emulsion Polymerized Poly(MMA-HEMA-Eu(AA)3Phen)/Fe3O4 Magnetic Fluorescent Bifunctional Nanospheres for Magnetic Resonance and Optical Imaging

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Chinese Journal of Polymer Science 2016年第2期34卷 135-146页

作者： Chen Hu Tian Xia Ying Gong Xin Wang Ruan-qing Liu Quan-yuan Zhang Chang-feng Yi 徐祖顺郭定宗 Hubei Collaborative Innovation Center-for Advanced Organic Chemical Materials Ministry of Education Key Laboratory for The Green Preparation and Application of Functional MaterialHubei UniversityWuhan 430062China College of Veterinary Medicine Huazhong Agricultural UniversityWuhan 430070China

Integration of biocompatibility with superparamagnetic Fe3O4 nanoparticles and luminescence rare earth complexes Eu（AA）3Phen was carried out to form bifunctional nanospheres for using in bioimaging applications. The nanospheres Poly（MMA-HEMA-Eu（AA）3Phen）/Fe3O4 exhibit magnetic and fluorescent properties that are favorable for the use in drug delivery, magnetic separation and MR imaging for biomedical research. The TEM and SEM studies reveal that the bifunctional nanospheres have core-shell structure, in a spherical shape with a size ranging from 140 nm to 180 nm. In mri experiments, a clear negative contrast enhancement in T2 images and the r2 reaches 568.82 （mmol·L^-1）^-1·s^-1. In vivo magnetic and fluorescence resonance imaging results suggest the nanospheres are able to preferentially accumulate in liver and spleen tissues to allow dual-modal detection of cancer cells in a living body.

关键词： Magnetic Fluorescent Bifunctional nanospheres MR image.

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A Systematic Characterization of Structural Brain Changes in Schizophrenia

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Neuroscience Bulletin 2020年第10期36卷 1107-1122页

作者： Wasana Ediri Arachchi Yanmin Peng Xi Zhang Wen Qin Chuanjun Zhuo Chunshui Yu Meng Liang School of Medical Imaging and Tianjin Key laboratory of functional Imaging Tianjin Medical UniversityTianjin 300203China Department of Radiography and Radiotherapy Faculty of Allied Health SciencesGeneral Sir John Kotelawala Defence UniversityRatmalana 10390Sri Lanka Department of Radiology and Tianjin Key laboratory of functional Imaging Tianjin Medical University General HospitalTianjin 300052China Department of Psychiatric-Neuroimaging-Genetics and Comorbidity laboratory Tianjin Mental Health CenterTianjin Anding HospitalTianjin 300222China CAS Center for Excellence in Brain Science and Intelligence Technology Chinese Academy of SciencesShanghai 200031China

A systematic characterization of the similarities and differences among different methods for detecting structural brain abnormalities in schizophrenia,such as voxel-based morphometry(VBM),tensor-based morphometry(TBM),and projection-based thickness(PBT),is important for understanding the brain pathology in schizophrenia and for developing effective biomarkers for a diagnosis of ***,such studies are still ***,we performed VBM,TBM,and PBT analyses on T1-weighted brain MR images acquired from 116 patients with schizophrenia and 116 healthy *** found that,although all methods detected wide-spread structural changes,different methods captured different information-only 10.35%of the grey matter changes in cortex were detected by all three methods,and VBM only detected 11.36%of the white matter changes detected by ***,pattern classification between patients and controls revealed that combining different measures improved the classification accuracy(81.9%),indicating that fusion of different structural measures serves as a better neuroimaging marker for the objective diagnosis of schizophrenia.

关键词： Voxel-based morphometry Tensor-based morphometry Deformation-based morphometry Cortical thickness Multivariate pattern analysis Structural mri Schizophrenia

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