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作 者:李祥辉[1] 杨方[2] 林振宇[1] 邱彬[1] 王丹红[2] 吴长辉
机构地区:[1]食品安全分析与检测教育部重点实验室(福州大学),福建福州350108 [2]福建出入境检验检疫局,福建福州350001 [3]福建仙芝楼生物科技有限公司,福建福州350002
出 处:《红外》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)
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.
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