The data and findings discussed here come from the cited paper and do not represent test results from VISPEK equipment.
Whether the production area label of dried wolfberry can leave discernible differences in the spectrum is related to the initial screening of raw material sources. But drying methods and visual screening can also make a difference. This study comparing dried fruits from different sources in Gansu is suitable for observing how known categories are differentiated and what conditions limit origin interpretation.
Summary
The study collected near-infrared spectra of dry wolfberry from five production areas in Gansu, and compared preprocessing, dimensionality reduction and stacking classification methods, and achieved high recognition performance in the research division. The conclusion is limited to known origin categories; drying and appearance screening may confuse origin information, and the rejection of unknown origins has not yet been verified, and cannot be used as independent proof of legal origin.
(AI-generated conceptual illustration for context; it is not data from the paper, a photograph of the research equipment, or a VISPEK product diagram.)
Why It Matters
Establishing a spectral baseline for the source group of dried wolfberry can provide clues for the purchasing end to identify samples that deviate from regular batches.
Methods and Reference Measurements
Zhangye/Yumen/Wuwei/Baiyin/Dunhuang 80 dried fruits each, a total of 400, dried by hot air at 50-60℃, selected for fruits with consistent appearance, balanced at 25℃/about 50%RH for 24 hours. NIR fiber meter 900-1700nm, average of three equidistant points at the equator, effective 900.76-1674.98nm. Comparison of SG+MSC, PCA/OLDA and KNN/SVM/Decision Tree/Naive Bayes stacking; the reference is the source label, there is no independent geochemical measurement, and the mode and optical path are not clear.
Wavelengths and Acquisition Parameters
| Band/parameter | Original meaning and usage instructions |
|---|---|
| 900.76–1674.98 nm | Actual effective band; instrument nominal 900–1700nm. |
| About 1440 nm | The average spectrum water-related absorption peak of this sample; it is not the fingerprint wavelength specific to the place of origin. |
Key Findings
The highest average identification accuracy of Stacking-OLDA is 99%; it is limited to five known sources and this sample classification, and the open collection origin is not verified and the identification is refused.
Limitations and Interpretation
Appearance screening and drying processes can confuse origin; do not claim that a single spectrum can prove legal origin.
Image copyright belongs to the paper’s original authors. License: CC BY 4.0.
Source Paper
Song S, Wu X, Li M, Wu B. (2025). Identifying the Geographical Origin of Wolfberry Using Near-Infrared Spectroscopy and Stacking-Orthogonal Linear Discriminant Analysis. Foods (Basel, Switzerland). https://doi.org/10.3390/foods14101684
Contact Us
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VISPEK products shown for illustration; these were not the devices used in the cited study.