研究目的
To develop a rapid and non-destructive method for ginseng seed moisture content determination using near infrared spectroscopy.
研究成果
NIR spectroscopy is effective for rapid and non-destructive determination of ginseng seed moisture content, with high accuracy and potential for online monitoring during storage.
研究不足
The study is limited to ginseng seeds and may not be directly applicable to other species without further validation. The model's performance relies on the specific spectral ranges and pre-processing methods used, which might need optimization for broader use.
1：Experimental Design and Method Selection:
The study used near infrared (NIR) spectroscopy with partial least squares (PLS) regression for model development. Spectral pre-processing methods such as first derivative (FD), multiplicative scatter correction (MSC), and others were applied to improve features.
2：Sample Selection and Data Sources:
Eighteen freshly harvested seed lots from six regions in China were used for model development, stored for up to five days, and 12 commercial seed lots for validation.
3：List of Experimental Equipment and Materials:
MPA Fourier transform near infrared (FT-NIR) spectrometer (Bruker, Germany), ginseng seeds, oven for drying.
4：Experimental Procedures and Operational Workflow:
Seeds were collected, stored, and NIR spectra measured at different time points using the spectrometer in diffuse reflectance mode. Moisture content was measured using the low constant temperature method.
5：Data Analysis Methods:
PLS regression was performed using OPUS QUANT2 software (Version 6.5, Bruker, Germany) with cross-validation to assess model performance.
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