A5082484709- Laser-induced spectroscopy and plasma
- Analytical chemistry methods development
- Cultural Heritage Materials Analysis
- Spectroscopy and Chemometric Analyses
- Mercury impact and mitigation studies
- Mass Spectrometry Techniques and Applications
- Identification and Quantification in Food
- Spectroscopy Techniques in Biomedical and Chemical Research
- Advanced Chemical Sensor Technologies
- Welding Techniques and Residual Stresses
- Additive Manufacturing Materials and Processes
- Remote Sensing in Agriculture
- Surface Roughness and Optical Measurements
- Additive Manufacturing and 3D Printing Technologies
- Forensic and Genetic Research
- Advanced Fiber Optic Sensors
- Magnesium in Health and Disease
- Water Quality Monitoring and Analysis
- Thermography and Photoacoustic Techniques
- CCD and CMOS Imaging Sensors
- Infrared Target Detection Methodologies
- Advanced Image Processing Techniques
- Optical Imaging and Spectroscopy Techniques
- Nuclear Physics and Applications
- Traumatic Ocular and Foreign Body Injuries
Institute of Optics and Electronics, Chinese Academy of Sciences
2021-2024
Chinese Academy of Sciences
2021-2024
Huazhong University of Science and Technology
2018-2022
Wuhan National Laboratory for Optoelectronics
2018-2022
University of Nebraska–Lincoln
2018
China Three Gorges University
2014
Heavy metal pollution is one of the main problems in water pollution, which harmful to humans. Surface-enhanced laser-induced breakdown spectroscopy (SENLIBS) has been applied detect trace amounts heavy elements aqueous solution; however, it still a big challenge explore relationship between LIBS detection sensitivity and substrate's physical properties. In this work, four typical substrates, zinc (Zn), magnesium alloy (Mg), nickel (Ni), silicon (Si), were compared; mechanism spectral...
Plasma emission of biochemical elements in a serum sample.
There are two main challenges in the diagnosis of blood cancer. The first is to diagnose cancer from healthy control, and second identify types chemometrics method combined with laser-induced breakdown spectroscopy (LIBS) can be used for detection. However, methods were easily influenced by spectral feature redundancy noise, resulting low accuracy rate because their simple structure. We proposed an approach using LIBS ensemble learning based on random subspace (RSM). serum samples dripped...
Self-absorption seriously affects the accuracy and stability of quantitative analysis in laser-induced breakdown spectroscopy (LIBS). To reduce effect self-absorption, we investigated temporal evolution self-absorption by establishing exponential calibration curves. Meanwhile, mechanism was also investigated. The results indicated that weak at early stage plasma expansion. For determination manganese (Mn) steel, as an example, concentration upper bound linearity (Cint) 2.000 wt. % expansion...
Abstract BACKGROUND Rice adulteration in the food industry that infringes on interests of consumers is considered very serious. To realize rapid and precise quantitation adulterated rice, a visible near infrared (VNIR) hyperspectral imaging system (380–1000 nm) was developed present study. A Savitsky–Golay first derivative (SG1) transform utilized to eliminate constant spectral baseline offset. Then, levels rice samples were quantified by partial least squares regression (PLSR). RESULTS...
The adulterated Wuchang rice were detected using hyperspectral imaging system with the optimal spectral pre-processing methods.
Inorganic or inorganic-organic hybrid nanomaterials have great potential for applications in the biomedical fields. Biological half-life is an essential pharmacokinetic parameter these materials to function
Two typical classification methods, partial least squares discriminant analysis (PLS-DA) and a support vector machine (SVM), were used to study the of steels with similar constituents.
In this study, a novel spectral standardization method which can eliminate the influence of plasma morphology was proposed to improve performance LIBS.
A dried droplet pre-treatment method for small solid samples containing trace elements, involving acid digestion of the sample followed by drying a on filter paper free analytes and quantitative elemental analysis LIBS.
Plastic recycling is an effective strategy to solve the shortage of national resources and improve ecological environment. Herein, a novel approach was proposed identify different colored plastics using laser-induced breakdown spectroscopy (LIBS) by neighborhood component analysis (NCA) support vector machine (SVM). Six kinds (PVC, POM, ABS, PP, PA, PE) with multiple colors were used verify feasibility this method. Firstly, types classified SVM, average accuracy about 97% obtained. Then same...
Metal-based additive manufacturing (AM) is a disruptive technique with great potential across multiple industries; however, its quality unstable, leading to an urgent requirement for component properties detection. The distribution of grain size has important effect on many mechanical in AM, while the added elements, such as titanium (Ti), measurable aluminum (Al) alloy. Therefore, detection distributions and elements significance AM. In this study, we investigated simultaneously wire + arc...
Electrolyte disturbance is very common and harmful, increasing the mortality of critical patients. Hence, rapid accurate detection electrolyte levels vital in clinical practice. Laser-induced breakdown spectroscopy (LIBS) has advantage simultaneous multiple elements, which meets needs detection. However, cracking caused by serum drying effect coffee-ring led to unstable spectral signal LIBS inaccurate results. Herein, we propose ordered microarray silicon substrates (OMSS) obtained laser...
The determination of potassium (K) content in ceramic raw materials provides important references for sintering. To realize rapid, situ, and real-time analysis detection, a laser-induced breakdown spectroscopy (LIBS) system was set up to analyze K materials. However, the self-absorption serious influence on accuracy element analysis. In this work, method profile fitting with Lorentz function proposed reduce effect LIBS. After fitting, coefficient (R2 factor) improved from 0.993 0.998, root...