A5085196427- Spectroscopy and Chemometric Analyses
- Computational Drug Discovery Methods
- Advanced Chemical Sensor Technologies
- Electrochemical sensors and biosensors
- Metabolomics and Mass Spectrometry Studies
- Spectroscopy Techniques in Biomedical and Chemical Research
- Water Quality Monitoring and Analysis
- Machine Learning in Materials Science
- Water Quality Monitoring Technologies
- Innovative Microfluidic and Catalytic Techniques Innovation
- Heavy metals in environment
- Geochemistry and Geologic Mapping
- Nanoplatforms for cancer theranostics
- Environmental remediation with nanomaterials
- Advanced oxidation water treatment
- Advanced Photocatalysis Techniques
- Environmental Toxicology and Ecotoxicology
- CCD and CMOS Imaging Sensors
- Various Chemistry Research Topics
- Cell Image Analysis Techniques
- Pharmaceutical and Antibiotic Environmental Impacts
- Advanced Nanomaterials in Catalysis
- Catalytic Processes in Materials Science
- MXene and MAX Phase Materials
- Nanopore and Nanochannel Transport Studies
Nankai University
2024-2025
Northwest University
2020-2025
State Key Laboratory of Pollution Control and Resource Reuse
2017-2021
Nanjing University
2017-2021
Shaanxi Normal University
2015-2021
State Key Laboratory of Vehicle NVH and Safety Technology
2019-2020
China XD Group (China)
2019
Nanozymes play a pivotal role in mitigating excessive oxidative stress, however, determining their specific enzyme-mimicking activities for intracellular free radical scavenging is challenging due to endo-lysosomal entrapment. In this study, we employ genetic engineering strategy generate ionizable ferritin nanocages (iFTn), enabling escape from endo-lysosomes and entry into the cytoplasm. Specifically, repeated Histidine-Histidine-Glutamic acid (9H2E) sequences are genetically incorporated...
Addressing heavy metal contamination in water bodies is a critical concern for environmental scientists. Traditional detection methods are often complex and costly. Recent advancements artificial intelligence (AI), particularly machine learning (ML) deep (DL), have shown significant potential analytical chemistry. However, these AI models require extensive spectral data, which traditional struggle to provide quickly. To overcome this challenge, we developed new digital imaging system rapidly...
A machine learning (ML) strategy based on color-spectral images for mixed amino acid (AA) analysis is presented. The results showed that a well-trained ML model could accurately predict multiple AAs at the same time, suggesting its value facilitating quantitative of AA systems.
Abstract Chlorella vulgaris ( C. ) and Raphidocelis subcapitata R. are two model algal species applied for the testing of chemicals, whereas a considerable variation in their sensitivity to antibiotics has been reported. The difference may be attributed xenobiotic‐induced oxidative stress cells. Thus, this study compared responses these green algae toward exposure erythromycin (ERY), macrolide antibiotic, at concentration levels 0, 20, 40, 60 μg/L, elucidated toxic mechanism action from...
Due to the complexity of nonlinear reactions, analysis environmental samples often relies on expensive equipment as well tedious and time-consuming experimental procedures. Currently, efficient machine learning (ML) strategy based big data offers some new insights for complex components in field. In this study, ML was applied total organic carbon (TOC). We prepared a special colorimetric sensor (c-sensor) by inkjet printing. The reacted with water high-throughput process, producing...
Machine learning will radically accelerate analysis of complex material networks in environmental chemistry.
Complex chemical system (CCS) is a complex mixture of systems, which pervasive in nature. In this study, novel encoded recording strategy CCS was proposed. The reaction medium for built using ink-jet printing technology and numerous information the obtained color imaging. An imaging method, called two-dimensional code (C2d) established to express CCS. This can be used as digital language improve capabilities exploring relationships
A novel magnetically separable magnetic activated carbon supporting-copper (MCAC) catalyst for catalytic wet peroxide oxidation (CWPO) was prepared by chemical impregnation. The samples were characterized X-ray diffraction (XRD), Brunauer-Emmett-Teller (BET) method, and scanning electron microscopy (SEM) equipped with energy dispersive spectrometry (EDS). performance of the catalysts evaluated direct violet (D-BL) degradation in CWPO experiments. influence preparative operational parameters...
Abstract Identification of organic acid is crucial indicator for field environment, healthcare and industry, which involves the time‐consuming labor‐intensive progress. The simultaneous detection complex mixture becomes a new target when large‐scale instruments mainstream measurement approach. With burst development machine learning in solving problem, progress being made quick mixtures. next challenge to provide sufficient data satisfy need algorithm. In this work, we proposed modified...
<title>Abstract</title> Nanozymes play a pivotal role in mitigating excessive oxidative stress, however, determining their specific enzyme-mimicking activities for intracellular free radical scavenging is challenging due to endo-lysosomal entrapment. In this study, we employed genetic engineering strategy generate ionizable ferritin nanocages (iFTn), enabling escape from endo-lysosomes and entry into the cytoplasm. Specifically, repeated Histidine-Histidine-Glutamic acid (9H2E) sequences...
Artificial intelligence deals with complex scientific problems using its favorite images.
The spectroscopy measurement is one of main pathways for exploring and understanding the nature. Today, it seems that racing artificial intelligence will remould its styles. algorithms contained in huge neural networks are capable substituting many expensive complex components spectrum instruments. In this work, we presented a smart machine learning strategy on absorbance curves, also initially verified an exceedingly-simplified equipment sufficient to meet needs strategy. Further, with...