化橘红中柚皮苷含量近红外定量模型的建立  

Establishing Quantitative Model of Naringin in Citrus Grandis Exocarpium by Near Infrared Spectroscopy

作　　者：陈朋[1,2] 涂瑶生[1] 孙冬梅[1] 王洛临[1] 李智勇[1] 李素梅[1] 董玉娟[1,2] 

机构地区：[1]广东省中医研究所,广东广州510095 [2]广州中医药大学,广东广州510405

出　　处：《中药材》2014年第9期1573-1576,共4页Journal of Chinese Medicinal Materials

基　　金：广东省战略性新兴产业核心技术攻关项目(2012A080800003)

摘　　要：目的：建立化橘红中柚皮苷近红外定量模型。方法：收集不同产地不同批号化橘红样品的近红外光谱图,运用TQ Analyst 8.0软件,经一阶导数和Norris平滑预处理,在10 000-4 000 cm^-1范围内,选择9个主因子数,采用偏最小二乘法（PLS）建立化橘红中柚皮苷含量近红外光定量模型。结果：所建模型预测集相关系数r=0.9927;校正集均方根偏差（RMSEC）=0.0746;预测集均方根偏差（RMSEP）=0.282;验证集预测平均回收率为101.65%（n=9）。结论：本研究所建立的模型性能较好,对化橘红中柚皮苷含量的预测准确。近红外光谱法具有快速、简便、准确、无损的优点,可以应用于化橘红药材的质量控制及其后续产品的开发。Objective： To establish the quantitative model of naringin in Citrus Grandis Exocarpium by near infrared reflectance spectroscopy（ NIRS）. Methods： NIRSs of 54 Citrus Grandis Exocarpium samples were collected and pretreated by TQ Analyst 8. 0 software with first derivative ＋ Norris filter. The wavebands in 10 000 - 4 000 cm^-1 were collected and 9 numbers of factors were used. The calibration model was built with partial least squares（ PLS）. Results： The quantitative calibration model had good correlation coefficients（ r = 0. 9927） and low root mean square error of calibration（ RMSEC = 0. 0746）. Root mean square error of prediction（ RMSEP） was0. 282. The average rate of recovery of validation was 101. 65%（ n = 9）. Conclusion： The quantitative calibration model is trustworthy and it can be used to predict naringin in Citrus Grandis Exocarpium accurately. This simple,fast and non-destructive advantages of NIRS can be used for quality control and exploitation of Citrus Grandis Exocarpium.

关 键 词：化橘红 柚皮苷 近红外反射光谱法 定量模型 

分 类 号：R282.5[医药卫生—中药学]