November 1, 2025Journal of Food ProtectionOpen Access

Research on the identification of composite spices based on terahertz spectroscopy and machine learning algorithms

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Analysis shows high classification accuracy for five spices using terahertz spectroscopy, indicating effective quality monitoring.

The machine learning algorithms achieved over 95% accuracy in classifying garlic and other spices.
Support Vector Machine outperformed with 96.82% accuracy for time-domain spectra among tested models.
Binary mixtures demonstrated varying effectiveness, with a multimodal model achieving 98.85% accuracy.
These findings highlight the potential of nondestructive testing for robust spice identification.

Ma et al. (2025) studied this question.

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