| AAP | Ascorbic Acid Phosphate |
| ACE | acetamiprid |
| AgNPs | Silver Nanoparticles |
| ATZ | Atrazine |
| ATR-IR | Attenuated Total Reflection Infrared (Spectroscopy) |
| Au-Ag OHCs | Au-Ag cages |
| AuNPs | Gold Nanoparticles |
| AuNRs | Gold Nanorods |
| Au@Ag NRs | Gold Core-Silver Shell Nanorods |
| ACA | Aptamer for Acetamiprid |
| BPNN | Backpropagation Neural Network |
| BODIPY | Boron-Dipyrromethene (fluorophore) |
| CARS | Competitive Adaptive Reweighted Sampling |
| CdTe QDs | Cadmium Telluride Quantum Dots |
| CTN | Chlorothalonil |
| CV | Crystal Violet |
| Cu2O@Ag/Au@Ag | Cuprous Oxide-Silver Core-Shell and Gold-Silver Core-Shell Nanostructures |
| DCP | Dichlorvos |
| DFT | Density Functional Theory |
| DMD | Dithiocarbamate |
| 2,4-D | 2,4-Dichlorophenoxyacetic Acid |
| EC | Electrochemistry/Epicatechin |
| EEM | Excitation-Emission Matrix |
| EGDMA | Ethylene Glycol Dimethacrylate |
| ELM | Extreme Learning Machine |
| EuMOFs | Europium-based Metal-Organic Frameworks |
| FIP | Fipronil |
| FRET | Fluorescence Resonance Energy Transfer |
| GA | Genetic Algorithm |
| GA-ELM | Genetic Algorithm-Optimized Extreme Learning Machine |
| GO | Graphene Oxide |
| GSH-AuNCs | Glutathione-Stabilized Gold Nanoclusters |
| HBA-ELM | Honey Badger Algorithm-Optimized Extreme Learning Machine |
| HPLC | High-Performance Liquid Chromatography |
| HSI | Hyperspectral Imaging |
| ICT | Intramolecular Charge Transfer |
| LOD | Limit of Detection |
| LR | Logistic Regression |
| LSPR | Localized Surface Plasmon Resonance |
| MC | Mean Centering |
| MEA-BP | Mind Evolutionary Algorithm-optimized Back-Propagation |
| MIPs | Molecularly Imprinted Polymers |
| Mag@MIP NPs | Magnetic Molecularly Imprinted Polymer Nanoparticles |
| MOFs | Metal-Organic Frameworks |
| MS | Mass Spectrometry |
| MRLs | Maximum Residue Limits |
| NSG | Nitrogen-Sulfur Co-Doped Graphene |
| PAN | Polyacrylonitrile |
| PCA | Principal Component Analysis |
| PET | Photoinduced Electron Transfer |
| PLS | Partial Least Squares |
| PLSR | Partial Least Squares Regression |
| PSS | Polystyrene sulfonate |
| Pd-MOF | Palladium-based Metal-Organic Framework |
| PBA/CNF | Phenylboronic Acid/Cellulose Nanofiber |
| QuEChERS | Quick, Easy, Cheap, Effective, Rugged, and Safe |
| RF | Random Frog |
| RF-RFE | Recursive Feature Elimination based on Random Forest |
| RMSE | Root Mean Square Error |
| RMSEP | Root Mean Square Error of Prediction |
| r-GO | Reduced Graphene Oxide |
| Rp | Prediction Correlation Coefficient |
| RSD | Relative Standard Deviation |
| R2 | Coefficient of Determination |
| SCNN | Shallow Convolutional Neural Network |
| SCNN-FS | Shallow Convolutional Neural Network for Feature Selection |
| SEIRA | Surface-Enhanced Infrared Absorption (spectroscopy) |
| SEIRAS | Surface-Enhanced Infrared Absorption Spectroscopy |
| SERS | Surface-Enhanced Raman Spectroscopy |
| siPLS | Synergy Interval Partial Least Squares |
| SNV | Standard Normal Variate |
| SPE | Solid-Phase Extraction |
| SWIR-HSI | Short-Wave Infrared Hyperspectral Imaging |
| tHBA-ELM | Adaptive t-Distribution Honey Badger Algorithm-Optimized Extreme Learning Machine |
| T-FLFIA | Traffic-Light-Inspired Fluorescent Lateral Flow Immunoassay |
| T-SEIRA | Transmission-mode SEIRA |
| T-SEIRAS | Transmission Surface-Enhanced Infrared Absorption Spectroscopy |
| TBZ | Thiabendazole |
| TMB | 3,3′,5,5′-Tetramethylbenzidine |
| UV | Ultraviolet |
| UV-Vis | Ultraviolet-Visible |
| Vis-NIR | Visible-Near Infrared |
| ZOA | ZnO/Ag Heterostructures |
| μ-PADs | Microfluidic Paper-Based Analytical Devices |