摘要
采用近红外透射法建立了一种灵芝孢子油识别方法。分别在灵芝孢子油中掺入葵花油、薏仁油、花生油、玉米油和食用调和油。这些掺杂油品的体积百分比范围为0～100%。采用近红外透射法进行测定。选择最佳的光谱波段,然后用偏最小二乘(Partial Least Squares,PLS)法分别建立了定量分析模型。对于不同比例的掺杂油料,预测相对误差范围在-0.357～0.435之间。研究结果表明,基于化学计量学和近红外光谱技术的分析手段可以作为一种简便、快捷、准确、廉价的方法应用于油类品种识别和掺杂量检测中。
A ganoderma lucidum spore oil authentication method is established by using near-infrared spectroscopy. The sunflower oil, barley oil, peanut oil, corn oil and blend oil are mixed into the ganoderma lucidum spore oil respectively. These mixed oil has a volume percentage from 0 to 100. The near-infrared spectroscopy is used for determination. After the optimal spectral bands are selected, a quantitative analysis model is established by using Partial Least Squares （PLS）. The model has a relative prediction error in the range from -0.357 to 0.435 for the mixed oil with different adulterated percentages. The research result shows that this analysis method based on chemometrics and near-infrared spectroscopy is a simple, rapid, low-cost and accurate method for the authentication of oil kinds and the detection of mixer content.
出处
《红外》
CAS
2012年第12期27-32,共6页
Infrared
基金
科技部支撑计划产学研项目(2011BAK10B04)
福建省科技厅重大项目(2011N5008)
福建省科技攻关重点项目(2010Y0001)
关键词
近红外光谱
偏最小二乘法
灵芝孢子油
识别
near-infrared spectrum(NIRS)
partial least-squares(PLS)
ganoderma lucidum spore oil
authentication
