小种红茶水浸出物近红外定量分析模型的建立

为实现近红外光谱技术在小种红茶中的快速无损检测,对76份有代表性的小种红茶按现行国家标准测定其水浸出物含量,采集样品的近红外光谱,采用OPUS 7.5软件,结合偏最小二乘法(partial least squares,PLS)建立小种红茶水浸出物含量的近红外定量分析模型。结果表明,所建立的水浸出物定量模型决定系数R2为95.73%,校正均方差(root mean square error of calibration,RMSEC)为0.629,验证均方差(root mean square error of prediction,RMSEP)为0.513。所建立的小种红茶水浸出物含量的近红外定量分析模型较为成功,模型预测效果较好,能够对小种红茶中水浸出物的含量进行快速地分析。

Establishment of Predictive Model for Quantitative Analysis of Water Extract of Souchong by Near Infrared Spectroscopy

In order to determine water extract content quickly and non-destructively,totally 76 Souchong samples were measured in laboratory based on chinese national standard methods. The near infrared spectrum of the samples was collected and analyzed with OPUS 7.5 software. A quantitative model of water extract of Souchong was established by partial least squares(PLS). The results showed that the R2,root mean square error of calibration(RMSEC),root mean square error of prediction(RMSEP)values was 95.73 %,0.629 and 0.513,respectively. The model which had good prediction results,was successful and could rapidly analyze the content of water extract of Souchong.