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论文成果
[1] Using designed polypeptides to develop novel phage-mediated triple antibody sandwich immunoassay for the specific detection of Escherichia coli O157:H7 in milk
[2] Sensitive SERS detection of S. aureus via HCR-mediated G-quadruplex DNAzyme assembly
[3] Trace detection of S. aureus cells in food samples via RCA-assisted SERS signal amplification with core-shell nanoprobe
[4] Analyzing TVB-N in snakehead by Bayesian-optimized 1D-CNN using molecular vibrational spectroscopic techniques: Near-infrared and Raman spectroscopy
[5] Quantitative analysis and visualization of chemical compositions during shrimp flesh deterioration using hyperspectral imaging: A comparative study of machine learning and deep learning models
[6] Ultrasensitive detection of chloramphenicol using a performance-enhanced Fe/Zn-MIL-88B driven dual-mode biosensing platform
[7] Monitoring changes in constituents during black tea fermentation using snapshot multispectral imaging and 1D-CNN enhanced with data augmentation
[8] Digital twin for predicting and controlling food fermentation: A case study of kombucha fermentation
[9] Improved ResNet deep learning model-assisted computer vision for intelligent assessment of tencha chlorophyll content during drying
[10] Intelligent chlorophyll estimation by attention-integrated deep learning and dual-modal fusion in tencha drying using snapshot multispectral camera
[11] Cloud-integrated microfluidic fluorescence sensing platform using UCNP/ Fe3O4@Cu nanoprobes for simultaneous and on-site multi-pesticide residue detection with smartphone assistance
[12] Integrating Humidity-Resistant and Colorimetric COF-on-MOF Sensors with Artificial Intelligence Assisted Data Analysis for Visualization of Volatile Organic Compounds Sensing
[13] Deep learning and feature reconstruction assisted vis-NIR calibration method for on-line monitoring of key growth indicators during kombucha production
[14] ZnO@Ag-Functionalized Paper-Based Microarray Chip for SERS Detection of Bacteria and Antibacterial and Photocatalytic Inactivation
[15] A rapid method for detecting L-Theanine during kombucha fermentation using SERS combined with machine/deep learning
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