| CMC | Carboxymethyl cellulose |
| DMA | Dimethylamine |
| EFSA | European Food Safety Authority |
| FET | Field-effect transistor |
| FTIR | Fourier-transform infrared spectroscopy |
| GDH | Glycerol dehydrogenase |
| GERS | Graphene-enhanced Raman spectroscopy |
| GFET | Graphene field-effect transistor |
| GNPs | Graphene nanoplatelets |
| GO | Graphene oxide |
| GQDs | Graphene quantum dots |
| KPI | Key performance indicators |
| LDA | Linear discriminant analysis |
| LIG | Laser-induced graphene |
| LIPS | Laser-induced paper sensor |
| LOD | Limit of detection |
| LSTM | Long Short-Term Memory |
| ML | Machine learning |
| MOFs | Metal–organic frameworks |
| NADH | Nicotinamide adenine dinucleotide, reduced form |
| NFC | Near-field communication |
| N-GQDs | Nitrogen-doped graphene quantum dots |
| PCA | Principal component analysis |
| PEC | Photoelectrochemical |
| PEG | Polyethylene glycol |
| PLA | Polylactic acid |
| PVA | Polyvinyl alcohol |
| QCM | Quartz crystal microbalance |
| QSVM | Quadratic support vector machine |
| rGO | Reduced graphene oxide |
| RH | Relative humidity |
| RSD | Relative standard deviation |
| SAW | Surface acoustic wave |
| SVM | Support vector machine |
| TMA | Trimethylamine |
| TVB-N | Total volatile basic nitrogen |
| UHRMS | Ultra-high-resolution mass spectrometry |
| UV | Ultraviolet |
| VOC/VOCs | Volatile organic compound(s) |
| XGBoost | Extreme Gradient Boosting |