为了防虫、延长储存时间,山药常被熏硫,构建硫熏中药材快速鉴别方法具有重要意义。本研究通过模拟市场上山药的熏蒸过程,在实验室制备了一批模拟样品,采集了山药的近红外光谱图,并利用化学计量学方法进行分析。利用TQ Analyst软件分析...为了防虫、延长储存时间,山药常被熏硫,构建硫熏中药材快速鉴别方法具有重要意义。本研究通过模拟市场上山药的熏蒸过程,在实验室制备了一批模拟样品,采集了山药的近红外光谱图,并利用化学计量学方法进行分析。利用TQ Analyst软件分析不同硫熏浓度及时间条件下山药的近红外光谱特征,建立硫熏山药定性分析模型。研究表明,该模型的准确率高达100%。通过近红外光谱和化学计量学模型的组合,能快速识别山药是否被硫熏,此研究为快速鉴别山药硫熏情况提供了新路径。*通讯作者。In order to prevent pests and prolong storage time, Chinese yam is often fumigated with sulfur. In this work, a batch of simulated samples were prepared in the laboratory by simulating the fumigation process of yam on the market. Near-infrared (NIR) spectra of Yam were then recorded and analyzed by Chemometrics methods. Based on the spectral characteristics of Chinese yam under different sulfur-fumigated concentration and time, a qualitative analytical model was established by TQ Analyst software. The research shows that the accuracy of the model is as high as 100%. The combination of NIR spectroscopy and Chemometrics model can rapidly identify whether yam has been to exposed to sulfur. This study provides a new way for rapid identification of sulfur-fumigated yam.展开更多
文摘为了防虫、延长储存时间,山药常被熏硫,构建硫熏中药材快速鉴别方法具有重要意义。本研究通过模拟市场上山药的熏蒸过程,在实验室制备了一批模拟样品,采集了山药的近红外光谱图,并利用化学计量学方法进行分析。利用TQ Analyst软件分析不同硫熏浓度及时间条件下山药的近红外光谱特征,建立硫熏山药定性分析模型。研究表明,该模型的准确率高达100%。通过近红外光谱和化学计量学模型的组合,能快速识别山药是否被硫熏,此研究为快速鉴别山药硫熏情况提供了新路径。*通讯作者。In order to prevent pests and prolong storage time, Chinese yam is often fumigated with sulfur. In this work, a batch of simulated samples were prepared in the laboratory by simulating the fumigation process of yam on the market. Near-infrared (NIR) spectra of Yam were then recorded and analyzed by Chemometrics methods. Based on the spectral characteristics of Chinese yam under different sulfur-fumigated concentration and time, a qualitative analytical model was established by TQ Analyst software. The research shows that the accuracy of the model is as high as 100%. The combination of NIR spectroscopy and Chemometrics model can rapidly identify whether yam has been to exposed to sulfur. This study provides a new way for rapid identification of sulfur-fumigated yam.
