摘要
针对近红外光谱分析技术中分析对象非线性现象突出的情况,提出了一种新的模型计算方法——局部加权偏最小二乘法(LWPLS)。以安胎丸为研究对象,采用LWPLS算法进行其近红外定量模型的建立,并比较偏最小二乘法(PLS)与LWPLS两种算法建立定量模型的精度。结果测得两种算法建立的校正模型中,阿魏酸的模型相关系数(R2)分别为0.7855、0.9719,预测误差均方根(RMSEP)分别为0.1266、0.0438,相对预测误差(RE)分别为12.66%、9.18%;洋川芎内酯A的R2分别为0.8864、0.9649,RMSEP分别为0.1148、0.0771,RE分别为14.01%、7.81%,显示LWPLS算法建立的模型精度更高。研究表明,采用LWPLS算法可提高安胎丸定量模型的准确性,具有可推广性和广泛的应用性。
A new model calculation method,local weighted partial least squares(LWPLS),was proposed to solve the problem of nonlinear phenomena in near infrared spectroscopy.Taking Antai pill as the research object,the quantitative model for Antai pill was established by LWPLS algorithm,and the accuracies of quantitative models established by PLS and LWPLS were compared.Results indicated that,the correlation coefficient(R2)of PLS and LWPLS algorithms for ferulic acid were 0.7855 and 0.9719,the root mean square errors of prediction(RMSEP)were 0.1266 and 0.0438,and the relative prediction errors(RE)were 12.66%and 9.18%,respectively,while the R2 values of PLS and LWPLS algorithms for senkyunolide A were 0.8864 and 0.9649,the RMSEP values were 0.1148 and 0.0771,and the RE values were 14.01%and 7.81%,respectively,which showed that LWPLS algorithm was more accurate.Therefore,the LWPLS algorithm could improve the accuracy of quantitative model for Antai pill,exhibiting a wide generalization and application potential.
作者
马力文
郭拓
马晋芳
史庆龙
肖环贤
MA Li-wen;GUO Tuo;MA Jin-fang;SHI Qing-long;XIAO Huan-xian(School of Electrical Information and Artificial Intelligence,Shaanxi University of Science and Technology,Xi′an 710021,China;Nansha Research Institute,Sun Yat-Sen University,Guangzhou 511458,China;Jiangxi Poly Pharmaceutical Co.Ltd.,Ganzhou 341900,China)
出处
《分析测试学报》
CAS
CSCD
北大核心
2020年第10期1254-1259,共6页
Journal of Instrumental Analysis
基金
陕西省科技计划项目(2020NY-172)。
