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  4. Vol 8, Issue 1, 2026

A Strategy for Chinese Herbal Medicine Identification Based on Chemical Constituent-Oriented Spectral Feature Extraction and Algorithm Fusion

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DOI: 10.23977/medcm.2026.080104 | Downloads: 1 | Views: 82

Author(s)

Mengru Zhou 1

Affiliation(s)

1 Hainan Vocational University of Science and Technology, Haikou, Hainan, 571126, China

Corresponding Author

Mengru Zhou

ABSTRACT

To address the challenge of accurate identification of Chinese herbal medicines with similar morphological traits, this study established an identification strategy based on chemical constituent-oriented spectral feature extraction and algorithm fusion. Using four commonly used Lonicera species (Lonicera japonica, Lonicera hypoglauca, Lonicera macranthoides, and Lonicera fulvotomentosa) as research subjects, Fourier transform infrared spectroscopy (FT-IR) was employed to collect spectral data. Focusing on characteristic bands associated with active components, parameters from the infrared fingerprint region and second-derivative spectral features were extracted. Soft Independent Modeling of Class Analogy (SIMCA), Random Forest (RF), and Support Vector Machine (SVM) were integrated to construct identification models, with multidimensional validation performed to evaluate identification performance. Results showed significant differences in characteristic functional group bands among the four herbal species. The SIMCA clustering model achieved both recognition rates and rejection rates exceeding 99%. The RF model based on mid-level data fusion attained an accuracy of 97.5%, while the SIMCA-SVM integrated model achieved 100% accuracy in validation. The algorithm fusion strategy effectively enhances identification precision, providing a scientific methodology and technical support for rapid, non-destructive, and accurate authentication of Chinese herbal medicines.

KEYWORDS

Chinese herbal medicine identification; Chemical constituents; Spectral feature extraction; Algorithm fusion; Fourier-transform infrared spectroscopy

CITE THIS PAPER

Mengru Zhou. A Strategy for Chinese Herbal Medicine Identification Based on Chemical Constituent-Oriented Spectral Feature Extraction and Algorithm Fusion. MEDS Chinese Medicine (2026). Vol. 8, No. 1, 25-30. DOI: http://dx.doi.org/10.23977/medcm.2026.080104.

REFERENCES

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