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| 基于近红外光谱和化学计量学方法的灵芝孢子油识别研究 | |
| 引用本文： | 李祥辉,杨方,林振宇,邱彬,王丹红,吴长辉.基于近红外光谱和化学计量学方法的灵芝孢子油识别研究[J].红外,2012,33(12):27-32. |
| 作者姓名： | 李祥辉 杨方 林振宇 邱彬 王丹红 吴长辉 |
| 作者单位： | 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 |
| 基金项目： | 科技部支撑计划产学研项目，福建省科技厅重大项目，福建省科技攻关重点项目 |
| 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fPartialLeastSquares，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。 |
| 关 键 词： | 近红外光谱 偏最小二乘法 灵芝孢子油 识别 |
| 收稿时间： | 2012/10/26 0:00:00 |
| 修稿时间： | 11/8/2012 9:07:08 AM |
Ganoderma Lucidum Spore Oil Authentication Based on Near--Infrared Spectroscopy Combined with Chemometrics |
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| LI Xiang-Hui,YANG Fang,LIN Zheng-Yu,QIU Bing,WANG Dang-Hong and WU Chang-Hui.Ganoderma Lucidum Spore Oil Authentication Based on Near--Infrared Spectroscopy Combined with Chemometrics[J].Infrared,2012,33(12):27-32. | |
| Authors: | LI Xiang-Hui YANG Fang LIN Zheng-Yu QIU Bing WANG Dang-Hong and WU Chang-Hui |
| Affiliation: | Ministry of Education Key Laboratory of Analysis and Detection Technology for Food Safety and Department of Chemistry,Fuzhou University,Fujian Entry-exit Inspection and Quarantine Bureau,Ministry of Education Key Laboratory of Analysis and Detection Technology for Food Safety and Department of Chemistry,Fuzhou University,Ministry of Education Key Laboratory of Analysis and Detection Technology for Food Safety and Department of Chemistry,Fuzhou University,Fujian Entry-exit Inspection and Quarantine Bureau,Fujian Xianzhilou Biological Science Technology Co,Ltd |
| Abstract: | 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. |
| Keywords: | near-infrared spectrum (NIRS) partial least-squares (PLS) ganoderma lucidum spore oil authentication |
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