A5103209809- Advanced biosensing and bioanalysis techniques
- Advanced Nanomaterials in Catalysis
- Biosensors and Analytical Detection
- Electrochemical Analysis and Applications
- Nanocluster Synthesis and Applications
- Analytical Chemistry and Sensors
- Gas Sensing Nanomaterials and Sensors
- Advanced Glycation End Products research
- Machine Learning in Bioinformatics
- Advanced Photocatalysis Techniques
- Electrochemical sensors and biosensors
- Artificial Intelligence in Healthcare
- SARS-CoV-2 detection and testing
- Molecular Sensors and Ion Detection
- Protein Hydrolysis and Bioactive Peptides
- Ga2O3 and related materials
University of Jinan
2022-2025
Weihai Science and Technology Bureau
2019
Shandong University
2019
Mercury (Hg
Lung cancer is a high-mortality related to the concentration of neuron-specific enolase (NSE). In this work, sandwich-type photoelectrochemical (PEC) immunosensor was constructed for ultrasensitive detection NSE, which based on iron trioxide/indium zinc cadmium sulfide (Fe2O3/Cd-ZnIn2.2Sy) as sensing platform and Ag-modified polyaniline (Ag@PANI) signal amplification label. The 1D Fe2O3 porous nanorods with large specific surface area were synthesized by calcination Fe-MIL-88A etching NaOH....
A novel dual-mode microfluidic sensing platform integrating photoelectrochemical (PEC) and fluorescence (FL) sensors was developed for the sensitive monitoring of heart fatty acid binding protein (h-FABP). First, BiVO4/AgInS2 (BVAIS) composites with excellent photoelectric activity were synthesized as matrices. The BVAIS heterojunction a well-matched internal energy level structure provided stable photocurrent. Second, an innovative signal amplification strategy based on octylamine-modified...
An efficient electrochemiluminescence (ECL) emitter, Ir(ppy)
Abstract The visualization of electrode reactions is significant for ultra sensitive detection. Traditional electrochemiluminescence (ECL) detection method can hardly visualize reactions. Combining ECL imaging technology and traditional methods overcome the lack visual feedback key information in sensor construction. In contrast to cyclic voltammetry testing, applying a constant voltage surface results more stable signal. this study, methionine‐stabilized gold nanoclusters (Met‐AuNCs) are...
As an unavoidable non-enzymatic reaction between proteins and reducing sugars, glycation can decline antioxidant defense mechanisms, damage cellular organelles, form advanced end products (AGEs), thereby resulting in a series of destructive physiological diseases. Identification analysis protein sites will be beneficial to understand the complex pathogenesis related glycation. In this paper, new site predictor, DeepGly, is proposed based on deep learning framework with recurrent neural...
Accumulation of the final product during glycation reaction often leads to many diseases, such as diabetes, Alzheimer's disease and atherosclerosis. Identifying site can help researchers understand pathogenesis provide new ideas on how treat these diseases. In this paper, we develop a predictor by using support vector machine which apply four feature extractions encode peptide chains binary code sequence, grey incidence degree, accessible surface area secondary structure probability. The...
Lead ion is one of the heavy metal contaminants within environment, which can seriously affect biological health. Thus, it very important to detect lead ions, especially exceeding standard concentration (100 ng/mL). In this work, we have developed a photoelectrochemical (PEC) aptamer sensor with Z-scheme Fe2O3/g-C3N4 heterojunction as substrate material for sensitive detection Pb2+. Specifically, employed powerful and stable photocurrent response. Au DNA-1 connected via Au-S bond increased...