Laser-induced fluorescence for detecting thermal degradation of a biological fluid model: a systematic study applying chemometrics
Abstract
>0.95) achieved by PLSR. Excellent classification performance was achieved by the SVM classifier with RBF kernels, correctly classifying 100% of data sets. Good model generalization without overfitting is indicated by the close agreement between the test set and cross-validation accuracies. Furthermore, the robustness and generalizability of the model were confirmed by the low out-of-bag error rate in RF implementations. These results show the potential of LIF as a sensitive, non-destructive method for assessing thermal and metabolic changes in biomedical contexts and validate milk as a practical surrogate system for comparing fluorescence-based methods.
Fields of Study & Subjects
Spectroscopy and Chemometric Analyses
Spectroscopy Techniques in Biomedical and Chemical Research
Fault Detection and Control Systems
Publication details
- Journal / source
- Analytical Methods
- Volume
- 18
- Issue
- 4
- Pages
- 822–832
- Publication date
- 1 January 2026
- Language
- EN