期刊论文

Modeling on determination of oil content of Vernicia fordii seeds by near-infrared spectroscopy

中文

林业工程学报

2096-1359

2017

2

6

45-49

10.13360/j.issn.2096-1359.2017.06.008

湖南省教育厅重点项目（14A155）；

本校为第一机构

为实现油桐籽含油率的快速检测,采用近红外光谱结合化学计量学方法对油桐籽合油率的测定进行了研究.107个样本用Kennard-Stone法划分为校正集(80个)和验证集(27个).光谱经预处理方法优化,确定一阶导数结合均值中心化预处理最优.分别采用竞争性自适应重加权算法筛选变量及小波变换压缩变量,比较了偏最小二乘法与径向基神经网络法所建模型的预测性能,确定竞争性自适应重加权算法筛选出的8个变量用于偏最小二乘法建模,所建模型预测性能最好:验证集相关系数0.927,均方根误差2.08,相对标准偏差为3.99％.结果表明竞争性自适应重加权算法筛选变量结合偏最小二乘法建模,所建模型简单,精度较好,可用于油桐...

Near-infrared spectroscopy（ NIR） and chemometrics methods were used for a rapid determination of oil content of Vernicia fordii seeds. There were 107 samples,including 21 V. montana Wils and 86 V. fordii Hemsley,being collected from tung oil tree germplasm in Yongshun County of Hunan Province. The near-infrared spectra of samples were collected by using scattered reflection mode through a antaris Ⅱ near-infrared spectrophotometer in the range of10 000-4 000 cm-1. The oil content was determined by Soxhlet extraction. The 107 samples were divi...