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Direct and rapid detection of serum amino acid and monoamine neurotransmitters to assist the diagnosis of panic disorder

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Science China Chemistry 2025年第01期 377-384页

作者： Shiwen Liu Xuerui Wan Meng Zhao Jiaqi Wang Weilan wu Linlin You Yonggui yuan Qian Xu Rong Gao Key Laboratory of Environmental Medicine Engineering Ministry of Education School of Public Health Southeast University Key Laboratory of Modern Toxicology of Ministry of Education Department of Hygienic Analysis and Detection School of Public HealthNanjing Medical University Department of Psychosomatics and Psychiatry Zhongda Hospital School of Medicine Southeast University

The measurement of amino acid and monoamine neurotransmitters（NTs） in serum plays a central role in the identification and monitoring of clinical panic disorder（PD）. However, the strong polarity and chemical heterogeneity of NTs make direct extraction and rapid detection extremely challenging. Herein, we developed a strategy that integrated solid phase extraction based on magnetic Fe3O4coated with polydopamine（Fe3O4@PDA） and direct analysis of mass spectrometry in real time（DART-MS） for quantification of 10 NTs. We systematically investigated the optimal conditions of this strategy to achieve good accuracy and precision. Compared with existing magnetic solid phase extraction methods for NTs detection in biological samples, this strategy could adsorb more targets while having similar adsorption efficiencies, and the total process time was reduced by an average of 69.42%. We rapidly determined the metabolic abnormality of 6 types of NTs in the serum of PD patients and demonstrated their diagnostic accuracy. In addition, an outstanding feature of PD in which tryptophan was more metabolized by the KYN pathway and the 5-hydroxytryptamine pathway was inhibited could be elucidated by this strategy. Our results highlighted the potential ability of Fe3O4@PDA coupled with DART-MS to assist in the clinical diagnosis of PD.

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The compound(E)-2-(3,4-dihydroxystyryl)-3-hydroxy-4H-pyran-4-one alleviates neuroinflammation and cognitive impairment in a mouse model of Alzheimer's disease

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Neural Regeneration Research 2025年第11期20卷 3330-3344页

作者： Xueyan Liu Wei wu Xuejuan Li Chengyan Wang Ke Chai Fanru yuan Huijuan Zheng Yuxing Yao Chenlu Li Zu-Cheng Ye Daijun Zha Department of Medicinal Chemistry School of PharmacyFujian Medical UniversityFuzhouFujian ProvinceChina Fujian Provincial Key Laboratory of Brain Aging and Neurodegenerative Diseases School of Basic Medical SciencesFujian Medical UniversityFuzhouFujian ProvinceChina Institute of Laboratory Animal Center Fujian Medical UniversityFuzhouFujian ProvinceChina Department of Neurosurgery Neurosurgery Research InstituteThe First Affiliated HospitalFujian Medical UniversityFuzhouFujian ProvinceChina Department of Hyperbaric Oxygen National Regional Medical CenterBinhai Campus of the First Affiliated HospitalFujian Medical UniversityFuzhouFujian ProvinceChina

Previous studies have shown that the compound(E)-2-(3,4-dihydroxystyryl)-3-hydroxy-4H-pyran-4-one(D30),a pyromeconic acid derivative,possesses antioxidant and anti-inflammatory properties,inhibits amyloid-β aggregation,and alleviates scopolamine-induced cognitive impairment,similar to the phase Ⅲ clinical drug *** this study,we established a mouse model of Alzheimer's disease via intracerebroventricular injection of fibrillar amyloid-β to investigate the effect of D30 on fibrillar amyloid-β-induced *** results showed that D30 alleviated fibrillar amyloid-β-induced cognitive impairment,promoted fibrillar amyloid-β clearance from the hippocampus and cortex,suppressed oxidative stress,and inhibited activation of microglia and astrocytes.D30 also reversed the fibrillar amyloid-β-induced loss of dendritic spines and synaptic protein ***,we demonstrated that exogenous fibrillar amyloid-βintroduced by intracerebroventricular injection greatly increased galectin-3 expression levels in the brain,and this increase was blocked by *** the role of D30 in clearing amyloid-β,inhibiting neuroinflammation,protecting synapses,and improving cognition,this study highlights the potential of galectin-3 as a promising treatment target for patients with Alzheimer's disease.

关键词： Alzheimer's disease amyloid-β astrocyte cognitive impairment D30 dendritic spines galectin-3 microglia neuroinflammation neuron

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Recent progress on photoactive nonprecious transition-metal complexes

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Science China Chemistry 2025年第1期 46-95页

作者： Zhong-Liang Gong Hong-Jie Zhang Yan Cheng Jianxun Liu Yuhan Ai Yaqin Li Zhihui Feng Qiong Zhang Shaolong Gong Yong Chen chang-Jiang Yao yuan-yuan Zhu Liang-Jin Xu Yu-wu Zhong CAS Key Laboratory of Photochemistry Institute of Chemistry Chinese Academy of Sciences State Key Laboratory of Structural Cemistry Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences School of Chemistry and Chemical Engineering Anhui Key Laboratory of Advanced Catalytic Materials and Reaction EngineeringHefei University of Technology State Key Laboratory of Explosion Science and Safety Protection School of Mechatronical Engineering Beijing Institute of Technology College of Chemistry and Molecular Sciences Hubei Key Lab on Organic and Polymeric Optoelectronic Materials Wuhan University School of Chemistry and Chemical Engineering Anhui University Key Laboratory of Photochemical Conversion and Optoelectronic Materials & CAS-HKU Joint Laboratory on New Materials Technical Institute of Physics and Chemistry Chinese Academy of Sciences

Photoactive complexes of nonprecious transition metals, mainly including those in the first-row and partially the second-row of the Periodic table of elements, have received increasing attention in view of their low cost and long-term sustainability. They are recognized as promising alternatives to noble transition metal complex congeners that have been extensively studied in optoelectronic devices, artificial photosynthesis, photocatalysis, biodiagnostics, and therapeutics, etc. This review is devoted to a comprehensive summary on the classical and recent advances on photoactive nonprecious transition metal complexes, including photoactive Zr, V, Cr, Mo, and W complexes, Mn complexes and hybrids, Fe, Co, Ni, and Cu complexes, and Zn and Cd complexes and hybrids. A particular focus is given on the molecular design, modulation of photophysical and photochemical properties, and applications of the representative and lately-developed nonprecious metal complexes. In addition, a perspective on the future development in this field is provided at the end of this review.

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Homologous CoS2 interface with directed electron transfer and strong chloridion repulsion for efficient seawater oxidation

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Science China Chemistry 2025年

作者： yuan Tian Jiang-Bo Chen Jie Ying Ge Tian Yu-Xuan Xiao Yi Lu Si-Ming wu Wei Geng Ling Shen Xiao-Yu Yang State Key Laboratory of Advanced Technology for Materials Synthesis and Processing and School of Materials Science and Engineering and Shenzhen Research Institute & Laoshan Laboratory Wuhan University of Technology School of Chemical Engineering and Technology Sun Yat-Sen University National Energy Key Laboratory for New Hydrogen-Ammonia Energy Technologies Foshan Xianhu Laboratory

Seawater electrolysis is a highly promising method to produce high energy density hydrogen,especially in dry areas that have scarce freshwater ***,application of seawater electrolysis is confronted by two major problems associated with catalysts employed for the anodic oxygen evolution reaction （OER） including the competitive hypochlorite evolution reaction（HCER） and strong chloridion （Cl–） triggered *** studies aimed at overcoming these problems,a facile method has been developed to synthesize a homologous CoS2heterojunction as an OER *** to a difference in work functions at the interface and increased electron density,this material has directed electron transfer and strong chloridion repulsion properties,*** have shown that CoS2achieves low overpotentials of 289 and 322 mV at 10 mA cm-2current density in respective alkaline （1 M KOH） and alkaline simulated seawater ***,the outstanding stability of CoS2is reflected in a negligible decline in activity during promotion of the OER for 100 *** of density functional theory calculations reveal that the homologous CoS2heterojunction promotes directed electron transport for optimizing adsorption/desorption of reactive species and heightens the Cl-adsorption energy for strongly repulsing Cl-,phenomena that enhance OER performance in alkaline simulated seawater.

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滨水空间视觉特征的注意力和情绪效应——基于高校在校学生眼动追踪实验的证据

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中山大学学报（自然科学版）（中英文） 2025年第1期64卷 207-217页

作者：罗玮菁袁媛王琳婷吴丽娟中山大学地理科学与规划学院广东广州510006 广东省城市化与地理环境空间模拟重点实验室广东广州510006 广州市城市规划勘测设计研究院有限公司广东广州510060

随着社会竞争压力倍增以及城市生活高速运转,高校在校学生心理健康问题日益凸显。大量研究证实蓝绿空间具有多重健康效益。作为一种日常疗愈景观,蓝绿空间是促进心理健康的重要“自然处方”和环境资产。本研究基于视觉景观感知理论,采... 详细信息

随着社会竞争压力倍增以及城市生活高速运转,高校在校学生心理健康问题日益凸显。大量研究证实蓝绿空间具有多重健康效益。作为一种日常疗愈景观,蓝绿空间是促进心理健康的重要“自然处方”和环境资产。本研究基于视觉景观感知理论,采用虚拟现实眼动追踪实验,收集51名高校在校学生的眼动行为和情绪数据,探究滨水空间视觉特征对高校在校学生注意力分配和情绪反应的作用。结果显示:公共活动型水岸引起的注视行为和愉悦情绪显著更多,不同观赏视角之间滨水空间感知的瞳孔反应和愉悦情绪存在差异。不同水平植被密度、植被结构层次和水面可视度对注意力和情绪的影响存在显著差异,且在不同空间类型和观赏视角下显示出异质性特征,即滨水空间属性之间具有交互作用。研究有助于丰富蓝绿空间人地感知理论的实验性循证探索和差异化研究,结论可为人本尺度下滨水空间精细化场所营造提供参考,以期为我国青年友好滨水空间建设提供实证支撑。

关键词：滨水空间注意力情绪眼动实验青年友好

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Surface oxidation of carbon dots enables highly selective and sensitive chemiluminescence detection of hydroxyl radical

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Nano Research 2024年第11期17卷 9275-9283页

作者： chan Wang yuan Fang Dongrun Zhou Chenxi wu Han Zhu Qijun Song Key Laboratory of Synthetic and Biological Colloids Ministry of Education School of Chemical and Material Engineering Jiangnan University Wuxi 214122 China

The rapid quantification of hydroxyl radical (·OH) in real samples is a great challenge due to its highly reactive nature and the potential interferences from other coexisting reactive oxygen species (ROS). Herein, a chemiluminescence (CL) probe (ox-CDs) was rationally developed for the detection of ·OH through controlled oxidation treatment of original CDs (o-CDs) with H_(2)O_(2). Post-oxidation of CDs can reduce the surface defects or functional groups on the CDs, exposing reactive sites capable of effectively reacting with ·OH. The chemical energy generated from redox reaction between ·OH and the ox-CDs can be efficiently utilized to generate strong and selective CL responses to ·OH without interferences from other ROS. Thus, a highly selective and sensitive CL method with a linear range from 0.01 to 150 μM and a detection limit of 3 nM was developed, which was successfully applied for monitoring the ·OH production from cigarette and mosquito coil smoke.

关键词： carbon dots post-oxidation chemiluminescence probe detection of·OH cigarette and mosquito coil smoke

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2SwuNet:small window SWin UNet based on tansformer for building extraction from high-resolution remote sensing images

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Optoelectronics Letters 2024年第10期20卷 599-606页

作者： YU Jiamin chan Sixian LEI Yanjing wu Wei WANG yuan ZHOU Xiaolong College of Computer Science and Technology Zhejiang University of TechnologyHangzhou310023China Key Laboratory of Meteorological Disaster(KLME) Ministry of Education&Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD)Nanjing University of Information Science&TechnologyNanjing210044China College of Geographic Information Modern Industry Zhejiang University of TechnologyHangzhou310023China College of Electrical and Information Engineering Quzhou UniversityQuzhou324000China

Models dedicated to building long-range dependencies often exhibit degraded performance when transferred to remote sensing *** transformer(Vi T)is a new paradigm in computer vision that uses multi-head self-attention(MSA)rather than convolution as the main computational module,with global modeling ***,its performance on small datasets is usually far inferior to that of convolutional neural networks(CNNs).In this work,we propose a small window SWin UNet(2SwuNet)for building extraction from high-resolution remote sensing ***,the 2SwuNet is trained based on swin transformer by designing a fully symmetric encoder-decoder U-shaped ***,to construct a reasonable U-shaped architecture for building extraction from high-resolution remote sensing images,different forms of patch expansion are explored to simulate up-sampling operations and recover feature map ***,the small window-based multi-head self-attention(W-MSA)is designed to reduce the computational and memory burden,which is more appropriate for the features of remote sensing ***,the pre-training mechanism is advanced to make up for the lack of decoder ***,comparison experiments with other mainstream CNNs and Vi Ts validate the superiority of the proposed model.

关键词： Net computer resolution

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Learning Discriminatory Information for Object Detection on Urine Sediment Image

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Computer Modeling in Engineering & Sciences 2024年第1期138卷 411-428页

作者： Sixian chan Binghui wu Guodao Zhang yuan Yao Hongqiang Wang College of Computer Science and Technology Zhejiang University of TechnologyHangzhou310023China The Hefei Institutes of Physical Science Chinese Academy of SciencesHefei230071China Department of Digital Media Technology Hangzhou Dianzi UniversityHangzhou310018China School of Computer Science University of Nottingham Ningbo ChinaNingbo315100China

In clinical practice,the microscopic examination of urine sediment is considered an important in vitro examination with many broad *** the amount of each type of urine sediment allows for screening,diagnosis and evaluation of kidney and urinary tract disease,providing insight into the specific type and ***,manual urine sediment examination is labor-intensive,time-consuming,and *** machine learning based object detection methods require hand-crafted features for localization and classification,which have poor generalization capabilities and are difficult to quickly and accurately detect the number of urine *** learning based object detection methods have the potential to address the challenges mentioned above,but these methods require access to large urine sediment image ***,only a limited number of publicly available urine sediment datasets are currently *** alleviate the lack of urine sediment datasets in medical image analysis,we propose a new dataset named UriSed2K,which contains 2465 high-quality images annotated with expert *** main challenges are associated with our dataset:a large number of small objects and the occlusion between these small *** manuscript focuses on applying deep learning object detection methods to the urine sediment dataset and addressing the challenges presented by this ***,our goal is to improve the accuracy and efficiency of the detection algorithm and,in doing so,provide medical professionals with an automatic detector that saves time and *** propose an improved lightweight one-stage object detection algorithm called *** proposed algorithm comprises a local context attention module and a global background suppression module,which aid the detector in distinguishing urine sediment features in the *** local context attention module captures context information beyond the object region,

关键词： Object detection attention mechanism medical image urine sediment

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Label-free biosensing with singular-phaseenhanced lateral position shift based on atomically thin plasmonic nanomaterials

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Light(Science & Applications) 2024年第5期13卷 810-822页

作者： Shaodi Zhu Rodolphe Jaffiol Aurelian Crunteanu Cyrille Vézy Sik-To chan wu yuan Ho-Pui Ho Shuwen Zeng Light Nanomaterials&Nanotechnologies(L2n)CNRS-EMR 7004University of Technology of Troyes10000 TroyesFrance. Department of Biomedical Engineering The Chinese University of Hong KongShatinNew TerritoriesHong KongChina XLIM Research Institute UMR 7252 CNRS/University of Limoges123Avenue Albert ThomasLimogesFrance

Rapid plasmonic biosensing has attracted wide attention in early disease diagnosis and molecular biology ***,it was still challenging for conventional angle-interrogating plasmonic sensors to obtain higher sensitivity without secondary amplifying labels such as plasmonic *** address this issue,we developed a plasmonic biosensor based on the enhanced lateral position shift by phase *** singularity presents as a sudden phase retardation at the dark point of reflection from resonating plasmonic substrate,leading to a giant position shift on reflected ***,for the first time,the atomically thin layer of Ge2Sb2Te5(GST)on silver nanofilm was demonstrated as a novel phase-response-enhancing plasmonic *** GST layer was not only precisely engineered to singularize phase change but also served as a protective layer for active silver *** new configuration has achieved a record-breaking largest position shift of 439.3μm measured in calibration experiments with an ultra-high sensitivity of 1.72×10^(8)nm RIU−1(refractive index unit).The detection limit was determined to be 6.97×10^(−7)RIU with a 0.12μm position ***,a large figure of merit(FOM)of 4.54×10^(11)μm(RIU∙°)^(−1)was evaluated for such position shift interrogation,enabling the labelfree detection of trace amounts of *** targeted biosensing experiments,the optimized sensor has successfully detected small cytokine biomarkers(TNF-αand IL-6)with the lowest concentration of 1×10^(−16)*** two molecules are the key proinflammatory cancer markers in clinical diagnosis,which cannot be directly screened by current clinical *** further validate the selectivity of our sensing systems,we also measured the affinity of integrin binding to arginylglycylaspartic acid(RGD)peptide(a key protein interaction in cell adhesion)with different Mn2+ion concentrations,ranging from 1 nM to 1 mM.

关键词： diagnosis protective silver

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Super-resolution DOA estimation for correlated off-grid signals via deep estimator

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Journal of Systems Engineering and Electronics 2022年第6期33卷 1096-1107页

作者： wu Shuang yuan Ye ZHANG Weike yuan Naichang Facility Design and Instrumentation Institute China Aerodynamics Research and Development CenterMianyang 621000China State Key Laboratory of Complex Electromagnetic Environment Effects on Electronics and Information System National University of Defense TechnologyChangsha 410073China

This paper develops a deep estimator framework of deep convolution networks(DCNs)for super-resolution direction of arrival(DOA)*** addition to the scenario of correlated signals,the quantization errors of the DCN are the major *** our deep estimator framework,one DCN is used for spectrum estimation with quantization errors,and the remaining two DCNs are used to estimate quantization *** propose training our estimator using the spatial sampled covariance matrix directly as our deep estimator’s input without any feature extraction ***,we reconstruct the original spatial spectrum from the spectrum estimate and quantization errors ***,the feasibility of the proposed deep estimator is analyzed in detail in this *** the deep estimator is appropriately trained,it can recover the correlated signals’spatial spectrum fast and *** results show that our estimator performs well in both resolution and estimation error compared with the state-of-the-art algorithms.

关键词： off-grid direction of arrival(DOA)estimation deep convolution network(DCN) correlated signal quantization error super-resolution

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