期刊文献+

构建三种木本油料植物种子含油率NIR通用模型的可行性研究 预览

Universal Models for Determining Oil Contents in Thre.e Woody Oil Plant Seeds by Using Near Infrared Spectroscopy: A Feasibility Study
在线阅读 下载PDF
分享 导出
摘要 为了构建湖南常见3种木本油料植物种子含油率近红外光谱通用模型,收集了98个油桐、96个油茶和96个核桃样本,采集了粉碎后种仁的近红外光谱(NIR),测定了样本含油率,分别采用偏最小二乘法(PLS)及径向基神经网络法(RBFNN)建立油桐+油茶+核桃、油桐+油茶、油桐+核桃和油茶+核桃4个混合样本集含油率的NIR通用模型。对PLS模型,4个样本集(验证集)的相关系数(Rp)分别为0.963、0.881、0.965和0.967,预测均方根误差(RMSEP)分别为2.78、3.31、2.47和2.70,相对标准偏差(RSD)分别为4.87%、6.51%、4.03%和4.55%;RBFNN模型的Rp分别为0.958、0.877、0.959和0.966,RMSEP分别为3.34、2.55、2.85和2.54,RSD分别为5.85%、5.02%、4.66%和4.28%。结果表明:构建油桐、油茶和核桃3种木本油料植物种子含油率近红外光谱通用性检测模型具有可行性。 In order to build a universal model of near infrared spectroscopy for determining oil content in three woody oil plant seeds in Hunan, 98 Vernicia fordii seed samples, 96 Camellia oleifera seed samples and 96 Juglans regia seed samples were collected. Near infrared spectra (NIR) of their crushed seed kernel were recorded. Oil content was determined. Partials quare least (PLS) and radical basis function neural networks (RBFNN) were used to develop the universal NIR models for determining oil content for each of 4 sample sets ( i.e.V, fordii + C. oleifera + J. regia, V. fordii + C. oleifera, V. fordii + J. regia, and C. oleifera +J. regia), respectively. For PLS models, the correlation coefficient (Rp) were 0. 972, 0. 910, 0. 980 and 0. 981, root mean square error (RMSEP) were 2. 44, 3.28, 2.04 and 2.49 and relative standard deviation (RSD) were 4.27%, 6. 45%, 3.33% and 4. 20% for validation sets of the 4 sample sets, respectively. For RBFNN models, Rp were 0. 965, 0. 894, 0. 973 and 0. 979, RMSEP were 3.04, 2.44, 2. 32 and 2. 27, RSD were 5.33% , 4. 80%, 3.79% and 3.83% for them, respectively. The results showed that the universal models for determining oil content in three woody oil plant seeds could be built by using NIR technology.
作者 李水芳 付红军 马强 单杨 LI Shuifang1, FU Hongjun2, MA Qiang1, SHAN Yang3 (1. College of Science, Central South University of Forestry & Technology, Changsha 410004, China; 2. College of Food Science and Engineering, Central South University of Forestry & Technology, Changsha 410004, China; 3. Hunan Center for Food Detection and Analysis, Changsha 410025, China)
出处 《林产化学与工业》 CSCD 北大核心 2017年第4期137-142,共6页 Chemistry & Industry of Forest Products
基金 湖南省教育厅重点项目(14A155)
关键词 油桐 油茶 核桃 近红外光谱 含油率 Vernicia fordiier Camellia oleifera Juglans regia near infrared spectroscopy oil content
作者简介 李水芳(1968-),湖南宁乡人,副教授,博士,主要从事天然产物开发利用及分子光谱分析技术研究;E-mail:cesfulishuifang@126.com。
  • 相关文献

参考文献4

二级参考文献60

共引文献46

投稿分析

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部 意见反馈