摘要
本文应用近红外光谱技术建立了快速检测葛根中有效成分的方法。研究了优化分析葛根总异黄酮、葛根素和大豆苷含量数学模型的各种条件 ,包括建模样品集的选择、化学值的定标、测量的方法及条件等 ,结果表明 :建模样品集的化学值 (又称真值 )与近红外预测值的相关系数分别为 :葛根总异黄酮r=0 975 ,葛根素r=0 984 ,大豆苷r =0 96 6 ;检验样品集的化学值与近红外预测值的相关系数分别为 :0 982 ,0 975和0 981。说明所建模型具有实际应用价值。
The functional components of P. Lobata were analyzed rapidly by near infrared (NIR) spectral technology. The optimum conditions of mathematics model of three components (total isoflavones, puerarin, daidzin) were studied, including the sample set selection, chemical value analysis, the detection methods and conditions. The analytical results demonstrated that the correlation between the chemical value (true value) of the three components of sample set and the NIR predicated value is 0.975, 0.984, 0.996, respectively. The correlation between the chemical value of the testing sample set and the NIR predicated value is 0.982, 0.975 and 0.981, respectively. It proved that the mathematical model that we established can be used in practice.
出处
《光谱学与光谱分析》
SCIE
EI
CAS
CSCD
北大核心
2002年第6期976-979,共4页
Spectroscopy and Spectral Analysis
基金
湖南省科技厅重点攻关项目 (编号 0 0NKY1 0 1 0 0 1 )
