- Mass Spectrometry Techniques and Applications
- Metabolomics and Mass Spectrometry Studies
- Advanced Proteomics Techniques and Applications
- Advanced biosensing and bioanalysis techniques
- Biosensors and Analytical Detection
- Analytical Chemistry and Chromatography
- Advanced Nanomaterials in Catalysis
- Advanced Biosensing Techniques and Applications
- Analytical chemistry methods development
- Electrochemical sensors and biosensors
- Topic Modeling
- Ion-surface interactions and analysis
- Advancements in Battery Materials
- Diatoms and Algae Research
- Natural Language Processing Techniques
- Mesoporous Materials and Catalysis
- Molecular Biology Techniques and Applications
- MicroRNA in disease regulation
- Perovskite Materials and Applications
- Advanced Battery Materials and Technologies
- Gold and Silver Nanoparticles Synthesis and Applications
- Cancer Genomics and Diagnostics
- Supercapacitor Materials and Fabrication
- Nanoplatforms for cancer theranostics
- Speech and dialogue systems
Renji Hospital
2020-2025
Shanghai Jiao Tong University
2016-2025
State Key Laboratory of Oncogene and Related Genes
2020-2025
Shanghai Cancer Institute
2020-2025
Daqing Oilfield General Hospital
2022-2025
Chinese Academy of Sciences
2024-2025
Advanced Research Institute
2025
Shanghai Advanced Research Institute
2025
ShanghaiTech University
2025
Shanghai Institute of Applied Physics
2025
A simple hydrophobic-affinity-derived assembly approach to pack graphene sheets into a nanoporous foam structure has been developed. Nanoporous foams with the highest pore volume and large surface area are obtained. The diameter of can be finely adjusted from mesopore macropore range by employing spherical templates different sizes. Detailed facts importance specialist readers published as "Supporting Information". Such documents peer-reviewed, but not copy-edited or typeset. They made...
Abstract Early cancer detection greatly increases the chances for successful treatment, but available diagnostics some tumours, including lung adenocarcinoma (LA), are limited. An ideal early-stage diagnosis of LA large-scale clinical use must address quick detection, low invasiveness, and high performance. Here, we conduct machine learning serum metabolic patterns to detect LA. We extract direct by optimized ferric particle-assisted laser desorption/ionization mass spectrometry within 1 s...
Abstract In-vitro metabolite and drug detection rely on designed materials-based analytical platforms, which are universally used in biomedical research clinical practice. However, metabolic analysis bio-samples needs tedious sample preparation, due to the complexity low molecular abundance. A further challenge is construct diagnostic tools. Herein, we developed a platform using silver nanoshells. We synthesized SiO 2 @Ag with tunable shell structures by multi-cycled mirror reactions....
Abstract Gastric cancer (GC) is a multifactorial process, accompanied by alterations in metabolic pathways. Non‐invasive profiling facilitates GC diagnosis at early stage leading to an improved prognostic outcome. Herein, mesoporous PdPtAu alloys are designed characterize the profiles human blood. The elemental composition optimized with heterogeneous surface plasmonic resonance, offering preferred charge transfer for photoinduced desorption/ionization and enhanced photothermal conversion...
Significance Breast cancer (BrCa) is the most common worldwide, and high-performance metabolic analysis emerging in diagnosis prognosis of BrCa. Here, we used nanoparticle-enhanced laser desorption/ionization mass spectrometry to record serum fingerprints BrCa seconds, achieving high reproducibility low consumption direct detection. Our analytical method, combined with aid machine learning algorithms, was demonstrated provide diagnostic efficiency accuracy 88.8% desirable prognostic...
Abstract Prelithiation as a facile and effective method to compensate the lithium inventory loss in initial cycle has progressed considerably both on anode cathode sides. However, much less research been devoted prelithiation effect interface stabilization for long‐term cycling of Si‐based anodes. An in‐depth quantitative analysis that forms during SiO x is presented here results are compared with prelithiaton Si Local structure probe combined detailed electrochemical reveals characteristic...
Abstract Enzymes are highly efficient catalysts employed in the biomedical field. However, their use is limited by poor stability and high cost. To address this, there an imperative need for research on nanozymes. In last decade, introduction of nanozymes has led to exponential growth nanozyme‐based biosensors. The rapid precise detection clinical biomarkers crucial various disease diagnostics. recent years, researchers have developed different catalytic active nanomaterials combined them...
Metabolic biomarkers are expected to decode the phenotype of gastric cancer (GC) and lead high-performance blood tests towards GC diagnosis prognosis. We attempted develop diagnostic prognostic models for based on plasma metabolic information.We conducted a large-scale, multicentre study comprising 1944 participants from 7 centres in retrospective cohort 264 prospective cohort. Discovery verification phases were through machine learning Cox regression fingerprints (PMFs) obtained by...
A comprehensive understanding of the evolution immune landscape in humans across entire lifespan at single-cell transcriptional and protein levels, during development, maturation senescence is currently lacking. We recruited a total 220 healthy volunteers from Shanghai Pudong Cohort (NCT05206643), spanning 13 age groups 0 to over 90 years, profiled their peripheral cells through RNA-sequencing coupled with single T cell B receptor sequencing, high-throughput mass cytometry, bulk flow...
Brassinosteroids (BRs) play an essential role in plant growth and development, have been implicated many physiological responses. However, little is known about the of BRs response to oxidative stress. In this study, we identified a novel insertion allele ( det2‐9 ) DET2 gene Arabidopsis based on molecular, genetic approaches. We found that det2 mutant exhibited enhanced resistance The stress plants was correlated with constitutive increase superoxide dismutase (SOD) activity increased...
Delicate α-Fe2O3 multi-shelled hollow spheres have been prepared by a simple and scalable spray drying method followed annealing in air. The resulting material shows high specific capacity, good cycling stability, excellent rate performance lithium ion battery applications.
Malaria elimination will be possible only with serious attempts to address asymptomatic infection and chronic by both Plasmodium falciparum vivax. Currently available drugs that can completely clear a human of P. vivax (known as "radical cure"), reduce transmission malaria parasites, are those in the 8-aminoquinoline drug family, such primaquine. Unfortunately, people glucose-6-phosphate dehydrogenase (G6PD) deficiency risk having severe adverse reactions if exposed these at certain doses....
Functionalized mesoporous materials for phosphate removal with high efficiency and minimized sludge treatment or disposal problems have been developed. Biocompatible lanthanum adsorbents were loaded into a silica SBA-15 which can be transformed to LaPO4 species very low Ksp. La immobilized in the mesopores of La-SBA-15 by controlling calcination temperature avoid leaching functional component. By adjusting pore size support control nucleation growth site, phosphates diffuse channels react...
Current metabolic analysis is far from ideal to engage clinics and needs rationally designed materials device. Here we developed a novel plasmonic chip for clinical fingerprinting. We first constructed series of chips with gold nanoshells on the surface through controlled particle synthesis, dip-coating, sputtering mass production. integrated optimized microarrays laboratory automation micro-/nanoscaled experiments, which afforded direct high-performance fingerprinting by laser...
Abstract Cardiovascular diseases lead to 31.5% of deaths globally, and particularly myocardial infarction (MI) results in 7.4 million per year. Diagnosis MI monitoring for prognostic use are critical clinical management biomedical research, which require advanced tools with accuracy speed. Herein, we developed a plasmonic gold nano-island (pGold) chip assay diagnosis MI. On-chip microarray analysis serum biomarkers (e.g., cardiac troponin I) afforded up 130-fold enhancement near-infrared...
Abstract Diagnostics is the key in screening and treatment of cancer. As an emerging tool precision medicine, metabolic analysis detects end products pathways, thus more distal than proteomic/genetic analysis. However, far from ideal clinical diagnosis due to sample complexity metabolite abundance patient specimens. A further challenge real‐time accurate tracking effect, e.g., radiotherapy. Here, Pd–Au synthetic alloys are reported for mass‐spectrometry‐based fingerprinting analysis, toward...
Abstract Metabolic fingerprints of biofluids encode diverse diseases and particularly urine detection offers complete non‐invasiveness for diagnostics the future. Present affords unsatisfactory performance requires advanced materials to extract molecular information, due limited biomarkers high sample complexity. Herein, we report plasmonic polymer@Ag laser desorption/ionization mass spectrometry (LDI‐MS) sparse‐learning‐based metabolic diagnosis kidney diseases. Using only 1 μL without...
For the first time, multifunctional magnetic particles based rare cell isolation is demonstrated combined with downstream laser desorption/ionization mass spectrometry (LDI‐MS) to measure metabolism of enriched circulating tumor cells (CTCs). The characterization CTCs plays a significant role in understanding microenvironment, through exploring diverse cellular process. However, characterizing still challenging due low detection sensitivity, high sample complexity, and tedious preparation...
Detection of biomarkers in biosystems plays a key role advanced biodiagnostics for research and clinical use. Design new analytical platforms is challenging demand, addressing molecular capture subsequent quantitation. Herein, we developed label-free electrochemical sensor CD44 by ligand-protein interaction. We assembled carbon nanotube composites on the electrode to enhance electronic conductivity 6.2-fold reduce overpotential with shift 77 mV. conjugated hyaluronic acid (HA) surface...