- Gold and Silver Nanoparticles Synthesis and Applications
- Biosensors and Analytical Detection
- Spectroscopy Techniques in Biomedical and Chemical Research
- Spectroscopy and Chemometric Analyses
- Advanced biosensing and bioanalysis techniques
- Advanced Fiber Optic Sensors
- Optical Network Technologies
- Identification and Quantification in Food
- Nanocluster Synthesis and Applications
- Advanced Chemical Sensor Technologies
- Electrochemical sensors and biosensors
- Photonic Crystal and Fiber Optics
- Pharmaceutical Quality and Counterfeiting
- Dye analysis and toxicity
- Quantum Dots Synthesis And Properties
- Electrochemical Analysis and Applications
- Traditional Chinese Medicine Studies
- Forensic Toxicology and Drug Analysis
- Nanoparticles: synthesis and applications
- Traditional Chinese Medicine Analysis
- Luminescence and Fluorescent Materials
- Protein Interaction Studies and Fluorescence Analysis
- Mercury impact and mitigation studies
- Currency Recognition and Detection
- Advanced Nanomaterials in Catalysis
Inner Mongolia University for Nationalities
2017-2024
Harbin Institute of Technology
2015-2022
Harbin University
2015-2021
National University of Mongolia
2019-2021
Inner Mongolia University
2015
Tongliao Academy of Agricultural Sciences
2015
Gwangju Institute of Science and Technology
2002-2006
A rapid and reliable approach based on SERS for quantitatively detecting RB in chili powder using a paper-based substrate was developed.
A portable and highly reproducible lab-on-capillary surface-enhanced Raman scattering (SERS) platform was developed using a specially designed homemade device for rapid on-site SERS measurement. In particular, this composed of capillary with tiny orifice, which allows an effective lossless sample extraction, resulting in high performance. The capillary-based plasmonic substrate prepared by compactly assembling Au@Ag core–shell nanorods (NRs) embedded the 4-mercaptobenzoic acid (4-MBA)...
In this work, self-assembly monolayers of faceted gold nanocrystals were employed as surface-enhanced Raman scattering (SERS) substrates for the examination facet-dependent SERS performance. particular, cubes, concave octahedra, and rhombic dodecahedra with three sizes have been synthesized via a seed-mediated growth method. All 12 samples high purity size uniformity assembled into densely arranged by robust liquid/liquid interface technique, their localized surface plasmon resonance...
A Au nanorod PDMS SERS platform has been developed for the on-site detection of contaminants in water and on real-world surfaces.
A dual-functional SERS platform was developed <italic>via</italic> a paper-based substrate assisted by PDMS for measurements of thiram on fruit surfaces and in juice.
Surface-enhanced Raman scattering (SERS) is a highly sensitive tool in the field of environmental testing. However, detection and accurate quantification weakly adsorbed molecules (such as heavy metal ions) remain challenge. Herein, we combine clean SERS substrates capable capturing ions with convolutional neural network (CNN) algorithm models for quantitative solution. The substrate consists surfactant-free Au nanoparticles (NPs) l-cysteine molecules. As plasmonic nanobuilt blocks, NPs...
Abstract Surface‐enhanced Raman scattering (SERS) substrate is the key to SERS technology and it still a basic focus fabricate desirable substrates offering multiple advantages of strong enhancement good reproducibility portability. A flexible paper‐based were fabricated involving use Au nanocubes (NCs) monolayer. NCs generated with tunable size in range 24 63 nm through seed‐mediated growth method. The effect support on properties NCs–assembled monolayer was systemically explored. As...
Astragalus is an economically significant medicinal plant widely utilized in traditional medicine due to its remarkable immunomodulatory, anticancer, and antiviral properties. In this study, we propose innovative approach that combines spectroscopic techniques (Raman spectroscopy Fourier Transform Infrared Spectroscopy, FTIR) with Principal Component Analysis Support Vector Machine (PCA-SVM), Convolutional Neural Networks (CNNs) for the precise classification identification of different...
Astragalus is an economically significant medicinal plant widely utilized in traditional medicine due to its remarkable immunomodulatory, anticancer, and antiviral properties. In this study, we propose innovative approach that combines spectroscopic techniques (Raman spectroscopy Fourier Transform Infrared Spectroscopy, FTIR) with Principal Component Analysis Support Vector Machine (PCA-SVM), Convolutional Neural Networks (CNNs) for the precise classification identification of different...
Abstract The preparation of highly sensitive and low cost substrate remains challenging in surface‐enhanced Raman spectroscopy (SERS). Here, a simple silver nanoparticle‐modified thin polydimethylsiloxane (PDMS) sheet was prepared as SERS via silicon‐assisted interfacial self‐assembly transfer Langmuir–Schaefer deposition technique. influence the surface coverage on PDMS investigated optimized to achieve maximal signal enhancement. Through test rhodamine 6G 4‐mercaptobenzoic acid probe,...
For accurate experimental and theoretical research, the preparation of nanocrystrals with regular morphology is significant importance. In this work, we investigated a facile effective route for generating highly spherical Au@Ag nanospheres (NSs) tuneable size uniform at room temperature. The aqueous synthesis mainly involved seed-mediated growth method together oxidation etching employing sodium hypochlorite (NaClO) as agent. termination reaction NaClO agent was simply related to amount had...
Wine has always been a popular carrier for psychedelic drugs, with the rapid identification and quantification of drugs in wine being focus regulating illegal behavior. In this study, surface-enhanced Raman spectroscopy (SERS) is used detection Flibanserin liquor, beer grape wine. First, theoretical spectrum characteristic peaks was calculated identified, limit 1 μg mL-1 liquor determined. The curve equation obtained by fitting using least squares method, correlation coefficient 0.995....
Drug abuse is a global social issue of concern. As the drug market expands, there an urgent need for technological methods to rapidly detect meet needs different situations. Here, we present strategy rapid identification benzodiazepines (midazolam and diazepam) using surface-enhanced Raman scattering (SERS) combined with neural networks (CNN). The method uses self-assembled silver nanoparticle paper-based SERS substrate detection. Then, spectrum intelligent recognition model based on deep...
Ag-molecularly imprinted polymer (MIP) hybrid composites (Ag@MIPs) were prepared for the ultra-sensitive detection of organic pollutants in water based on surface enhanced Raman scattering (SERS).
<italic>In situ</italic> analysis of pesticide residues on the surface agricultural products <italic>via</italic> surface-enhanced Raman spectroscopy using a flexible Au@Ag–PDMS substrate.
A novel optical fiber fabrication technique was developed by converting the symmetry of silica substrate into germanosilicate ring core to efficiently introduce geometric birefringence in an elliptical hollow fiber. Due high ellipticity core, provides extremely group 2.35×10−3 at 1550nm. Single-mode single-polarization guidance also experimentally confirmed, with a bandwidth ∼35nm. The generic adiabatic mode conversion capability taper provided stable fusion splice conventional single-mode...
A SERS method has been developed to directly and quantitatively detect dicyandiamide in milk without any sample pretreatment through an internal standard method.
In this study, surface‐enhanced Raman spectroscopy ( SERS ) technology was used to rapidly detect illegally added sildenafil drugs. A detailed attribution analysis by density functional theory DFT guide specific experiments. The signals were obtained from a silver colloid (Ag col) substrate, and they increased in the presence of mineral salt, potassium iodide KI ). These methods detected aqueous solutions as low 1 µg/ mL with high signal uniformity RSD =3.77%). Prior traditional techniques...