A5087411624- Analytical Chemistry and Chromatography
- Metabolomics and Mass Spectrometry Studies
- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Traditional Chinese Medicine Analysis
- Phytochemicals and Antioxidant Activities
- Chromatography in Natural Products
- Pesticide Residue Analysis and Safety
- Phytoestrogen effects and research
- Water Quality Monitoring and Analysis
- Food Quality and Safety Studies
- Fermentation and Sensory Analysis
- Advanced Sensor and Energy Harvesting Materials
- Ginseng Biological Effects and Applications
- Phytochemistry and Biological Activities
- Essential Oils and Antimicrobial Activity
- Blind Source Separation Techniques
- Computational Drug Discovery Methods
- Pharmacological Effects of Natural Compounds
- Network Security and Intrusion Detection
- Meat and Animal Product Quality
- Plant Parasitism and Resistance
- Biochemical effects in animals
- Conducting polymers and applications
Ningxia Medical University
2016-2025
Ministry of Education of the People's Republic of China
2016-2025
China Jiliang University
2023-2024
Changzhou Vocational Institute of Light Industry
2024
Guangdong Polytechnic Normal University
2024
Ningxia University
2024
Huanggang Central Hospital
2022-2023
North China Electric Power University
2022
Harbin Institute of Technology
2022
Ningxia Water Conservancy
2021
A molten salt strategy enables one-step synthesis of heterostructured cobalt phosphides (CoP x ) with abundant phosphorus vacancies for efficient overall water splitting.
Roasting flaxseed is an important stage in producing rich aromas. At present, characterizing the dynamically changed compounds difficult. Here, a novel untargeted strategy for accurately and comprehensively analyzing volatile such as flavors semi-volatile sugars amino acids was provided, which accomplished by integrating gas chromatography–mass spectrometry (GC–MS) with our newly developed automatic data analysis software AntDAS-GCMS. Samples at different roasting stages were collected,...
ABSTRACT Artemisia argyi smoke, generated from the combustion of A. , is widely utilized in traditional Chinese medicine for moxibustion and fumigation therapies. The released smoke during rich massive compounds can be affected by storing periods. However, there a lack comprehensive understanding on chemical composition effects annual storage were still unclear. Herein, strategy that integrated chromatography–mass spectrometry (GC‐MS) with advanced chemometric software, AntDAS‐GCMS, was...
High-quality data analysis methodology remains a bottleneck for metabolic profiling based on ultraperformance liquid chromatography–quadrupole time-of-flight mass spectrometry. The present work aims to address this problem by proposing novel strategy wherein (1) chromatographic peaks in the UPLC–QTOF set are automatically extracted using an advanced multiscale Gaussian smoothing-based peak extraction strategy; (2) annotation stage is used cluster fragment ions that belong same compound. With...
Data-dependent acquisition (DDA) mode in ultra-high-performance liquid chromatography–high-resolution mass spectrometry (UHPLC–HRMS) can provide massive amounts of MS1 and MS/MS information compounds untargeted metabolomics thus facilitate compound identification greatly. In this work, we developed a new platform called AntDAS-DDA for the automatic processing UHPLC–HRMS data sets acquired under DDA mode. Several algorithms, including extracted ion chromatogram extraction, feature spectrum...
Over the years, a number of state-of-the-art data analysis tools have been developed to provide comprehensive collected from gas chromatography–mass spectrometry (GC–MS). Unfortunately, time shift problem remains unsolved in these tools. Here, we novel strategy for GC–MS-based untargeted metabolomics (AntDAS-GCMS) perform total ion chromatogram peak detection, resolution, correction, component registration, statistical analysis, and compound identification. Time correction was specifically...
The concept of simulating external mechanical stimuli to generate luminescence has been a long-standing aspiration in real-time dynamic visualization. However, creating self-power and self-restoring mechanoluminescent electronic skins for artificial sensors poses significant challenges. In this study, we introduce cutting-edge triboelectric-mechanoluminescent skin (TMES) that exhibits remarkable response multiple stimuli. This advancement is achieved by integrating intermediate layer within...
Abstract A novel third‐order calibration algorithm, alternating weighted residue constraint quadrilinear decomposition (AWRCQLD) based on pseudo‐fully stretched matrix forms of model, was developed for the quantitative analysis four‐way data arrays. The AWRCQLD algorithm is new scheme that introduces four unique parts to improve quality PARAFAC algorithm. tested results demonstrated has advantage faster convergence rate and being insensitive excess component number adopted in model compared...