中国中医药信息杂志
中國中醫藥信息雜誌
중국중의약신식잡지
CHINESE JOURNAL OF INFORMATION ON TRADITIONAL CHINESE MEDICINE
2015年
3期
90-93
,共4页
张亚亚%顾志荣%王亚丽%孙宇靖
張亞亞%顧誌榮%王亞麗%孫宇靖
장아아%고지영%왕아려%손우정
近红外漫反射光谱%当归%正丁基苯酞
近紅外漫反射光譜%噹歸%正丁基苯酞
근홍외만반사광보%당귀%정정기분태
near-infrared diffuse reflectance spectrum%Angelicae Sinensis Radix%3-butylphthalide
目的:建立近红外光谱(NIR)定量模型快速测定当归中正丁基苯酞含量的方法。方法采集甘肃及云南14个县级主产区的145批当归样本,将全归阴干,以反相高效液相色谱二极管阵列检测器(RP-HPLC-DAD)测定的正丁基苯酞含量为化学参考值,以积分球漫反射方式扫描NIR,采用偏最小二乘(PLS)法在7415~4056 cm-1波数范围建立定量校正模型。结果所建模型对校正集样品的预测值和真实值之间的相关系数(Rc)、校正均方差(RMSEC)、预测均方差(RMSEP)、交叉验证相关系数(Rcv)、交叉验证均方差(RMSECV)和平均预测回收率分别为0.9767、0.6143、0.7065、0.8978、1.1554和102.08%。结论该模型的预测结果准确、可靠,可用于当归中正丁基苯酞含量的快速测定。
目的:建立近紅外光譜(NIR)定量模型快速測定噹歸中正丁基苯酞含量的方法。方法採集甘肅及雲南14箇縣級主產區的145批噹歸樣本,將全歸陰榦,以反相高效液相色譜二極管陣列檢測器(RP-HPLC-DAD)測定的正丁基苯酞含量為化學參攷值,以積分毬漫反射方式掃描NIR,採用偏最小二乘(PLS)法在7415~4056 cm-1波數範圍建立定量校正模型。結果所建模型對校正集樣品的預測值和真實值之間的相關繫數(Rc)、校正均方差(RMSEC)、預測均方差(RMSEP)、交扠驗證相關繫數(Rcv)、交扠驗證均方差(RMSECV)和平均預測迴收率分彆為0.9767、0.6143、0.7065、0.8978、1.1554和102.08%。結論該模型的預測結果準確、可靠,可用于噹歸中正丁基苯酞含量的快速測定。
목적:건립근홍외광보(NIR)정량모형쾌속측정당귀중정정기분태함량적방법。방법채집감숙급운남14개현급주산구적145비당귀양본,장전귀음간,이반상고효액상색보이겁관진렬검측기(RP-HPLC-DAD)측정적정정기분태함량위화학삼고치,이적분구만반사방식소묘NIR,채용편최소이승(PLS)법재7415~4056 cm-1파수범위건립정량교정모형。결과소건모형대교정집양품적예측치화진실치지간적상관계수(Rc)、교정균방차(RMSEC)、예측균방차(RMSEP)、교차험증상관계수(Rcv)、교차험증균방차(RMSECV)화평균예측회수솔분별위0.9767、0.6143、0.7065、0.8978、1.1554화102.08%。결론해모형적예측결과준학、가고,가용우당귀중정정기분태함량적쾌속측정。
Objective To establish a quantitative model to rapidly determine content of 3-butylphthalide in Angelicae Sinensis Radix based on near-infrared diffuse reflectance spectroscopy (NIR). Methods Totally 145 batches of samples of Angelicae Sinensis Radix from 14 areas of Gansu and Yunnan Provinces were collected and dried in the shade. With the content of 3-butylphthalide determined by RP-HPLC-DAD as reference, the NIR spectra of 145 batches of Angelicae Sinensis Radix were collected by integrating sphere diffuse reflectance, and the PLS (partial least squares) quantitative analysis model was established between 7415-4056 cm-1. Results The Rc (correlation coefficient between actual content and predicted content), RMSEC (the root-mean-square error of calibration), RMSEP (the root-mean-square error of prediction), Rcv (cross-validation correlation coefficient), RMSECV (the root-mean-square error of cross-validation), and average predicted recovery reached 0.976 7, 0.614 3, 0.706 5, 0.897 8, 1.155 4 and 102.08%, respectively. Conclusion This prediction model was accurate, reliable, and can be used to quantitatively determine the content of 3-butylphthalide in Angelicae Sinensis Radix.