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引用本文:白雁1,李珊1,张威2,陈志红1*.近红外光谱法快速检测金银花中水分的含量[J].中国现代应用药学,2011,28(11):1024-1027.
BAI Yan1, LI Shan1, ZHANG Wei2, CHEN Zhihong1*.Rapid Determination of Moisture in Honeysuckle by Near-infrared Spectroscopy[J].Chin J Mod Appl Pharm(中国现代应用药学),2011,28(11):1024-1027.
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近红外光谱法快速检测金银花中水分的含量
白雁1,李珊1,张威2,陈志红1*1,2
1.河南中医学院,郑州 450008;2.郑州市卫生学校,郑州 450005
摘要:
目的 应用近红外光谱法和数据分析软件,对金银花中水分含量进行快速测定。方法 利用甲苯法测定样品中水分的含量,运用偏最小二乘(PLS)法建立其含量与NIR光谱之间的多元校正模型,对未知样品进行含量预测。结果 建立的水分校正模型相关系数(R2)、估计误差均方根(RMSEE)、相对分析误差(RPD)分别为0.933, 0.18%,3.86。经外部验证,校正模型的预测均方差(RMSEP)、平均回收率分别为0.216, 98.9%。结论 此方法具有快速简便、准确无损的特点,可应用于金银花中水分含量的快速检测。
关键词:  近红外光谱技术  偏最小二乘法  金银花  水分  快速测定
DOI:
分类号:
基金项目:河南省重大公益科研项目(081100912500);河南省杰出人才项目(084200510017)
Rapid Determination of Moisture in Honeysuckle by Near-infrared Spectroscopy
BAI Yan1, LI Shan1, ZHANG Wei2, CHEN Zhihong1*1,2
1.Henan University of Traditional Chinese Medicine, Zhengzhou 450008, China;2.Zhengzhou Health School, Zhengzhou 450005, China
Abstract:
OBJECTIVE To determine moisture in honeysuckle rapidly by near-infrared spectroscopy and data analysis software. METHODS Toluene method was used as a reference method to determine the content of moisture in honeysuckle. Multivariate calibration model based on PLS algorithm was developed to correlate the spectra and the corresponding values determined by the reference method. RESULTS The correlation coefficients (R2), the root-mean-square error of estimated(RMSEE) and the RPD of the calibration model for moisture were 0.933, 0.18% and 3.86, respectively; the root-mean-square error of prediction(RMSEP) and the average rate of recovery were 0.216 and 98.9%. CONCLUSION The method is fast and convenient. The correction model could be used to predict moisture in honeysuckle rapidly.
Key words:  near infrared spectrum  partial least square  honeysuckle  moisture  rapid determination
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