Rapid Analysis

Identification of Ziziphi Spinosae Semen from different habitats based on near-infrared hyperspectral imaging technology and watershed algorithm*

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  • 1. College of Pharmaceutical Sciences,Zhejiang University of Technology,Hangzhou 310014,China;
    2. State Key Laboratory of Fluid Power and Mechatronic Systems,College of Mechanical Engineering,Zhejiang University,Hangzhou 310027,China

Revised date: 2020-06-23

  Online published: 2024-07-15

Abstract

Objective: To establish a quick,non-destructive and green method for identifying the habitat of Ziziphi Spinosae Semen(ZSS)based on the near-infrared(NIR)hyperspectral imaging and watershed algorithm. Methods: A total of 2 215 ZSS samples from different habitats were scanned by near-infrared (NIR)hyperspectral technology. The spectral and image information of ZSS from the hyperspectral data were extracted. Combining with the watershed algorithm,the aggregated ZSS samples could be segmented and identified to realize the automatic extraction of the average spectrum of a single sample. The effects of five different pre-processing methods on the establishment of discriminant models were compared,including 1st derivative,2nd derivative,multiplicative scatter correction(MSC),Savitzky-Golay smoothing(S-G smoothing)and standard normal variate(SNV). In addition,three different discrimination models,partial least squares discrimination analysis(PLS-DA),support vector classification(SVC)and random forest (RF),were established and compared. The capability of these models was evaluated by four indicators: accuracy rate,confusion matrix,receiver operating characteristic curve(ROC)and area under the curve (AUC). Results: 2nd derivative was an effective pre-processing method,and the model established by PLSDA was superior to the pre-processed data. The accuracy rates of the training set,validation set,and test set were 99.87%,99.27%,and 99.14%,respectively. The results showed confusion matrix,ROC curve and AUC exhibited the superiority of the model. Conclusion: In this study,the established method that applied NIR hyperspectral imaging technology combined with watershed algorithm illustrates a strong ability to identify the habitat of ZSS,which can provide technical support for the development of industrial online detection.

Cite this article

ZHANG Lu, RU Chen-lei, YIN Wen-jun, ZHENG Jie, ZHANG Hui, YAN Ji-zhong . Identification of Ziziphi Spinosae Semen from different habitats based on near-infrared hyperspectral imaging technology and watershed algorithm*[J]. Chinese Journal of Pharmaceutical Analysis, 2021 , 41(4) : 726 -734 . DOI: 10.16155/j.0254-1793.2021.04.22

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