张萌萌,杨孝红,李海洋,高欢晴,李瑶,郭伦锋

• 1:陕西中医药大学药学院
• 2:安康市中心医院药剂科

摘要(Abstract)：

应用近红外光谱技术结合化学计量学建立花椒代表性成分的定量分析模型。采用紫外可见分光光度法测定不同批次花椒总酰胺和总黄酮含量，并测定挥发油含量。采集50批次花椒样品的近红外光谱，应用Kennard-Stone算法划分样本集。进一步采用偏最小二乘回归(partial least squares regression, PLSR)和支持向量机(support vector machine, SVM)建立3个指标的含量预测模型，并比较各模型的性能。不同批次花椒样品总酰胺、总黄酮和挥发油含量分别为10.40%～29.09%、10.33%～24.73%、2.72%～8.04%。近红外光谱分别经MSC、SG平滑、SG平滑+MSC预处理后，应用SVM构建的花椒总酰胺、总黄酮和挥发油定量模型准确度较PLSR高，校正集决定系数(R_C~2)分别为0.818,0.655,0.927,预则集决定系数(R_P~2)分别为0.898,0.856,0.916。文章所建立的近红外光谱结合PLSR和SVM定量测定模型可以实现花椒类调味品的品质快速评价。

关键词(KeyWords)： 花椒;近红外光谱;偏最小二乘回归;支持向量机;挥发油

Abstract:

Keywords:

基金项目(Foundation): 陕西省教育厅项目(23JK0413);; 陕西省科技厅项目(2024SF-YBXM-483)

作者(Author): 张萌萌,杨孝红,李海洋,高欢晴,李瑶,郭伦锋

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