Application of a hybrid variable selection method for the classification of rapeseed oils based on H-1 NMR spectral analysis
文献类型：期刊论文
| 作者 | Chen, Xiaojing ; Li, Han ; Wu, Di ; Lei, Xinxiang ; Zhu, Xiangou ; Zhang, Anjiang |
| 刊名 | EUROPEAN FOOD RESEARCH AND TECHNOLOGY
 |
| 出版日期 | 2010 |
| 卷号 | 230期号:6页码:981-988 |
| 关键词 | H-1 nuclear magnetic resonance (NMR) Uninformative variable elimination (UVE) Successive projections algorithm (SPA) Simulated algorithm (SA) Variable selection |
| ISSN号 | 1438-2377 |
| 产权排序 | 4 |
| 通讯作者 | Chen, XJ, Wenzhou Univ, Coll Phys & Elect Informat Engn, Wenzhou 325027, Peoples R China |
| 中文摘要 | H-1 nuclear magnetic resonance (NMR) spectroscopy was utilized to distinguish the brands of rapeseed oils. As there are more than four hundreds of NMR variables which can cause the discrimination model redundancy, it is necessary to do effective variable selection. Successive projections algorithm (SPA) executed on the full spectrum only improved a few correct answer rate (CAR) and Cohen's kappa coefficient (K) compared to full spectrum-least-square support vector machine (LS-SVM) model. The better results of uninformative variable elimination (UVE)-based SPA calculation show that it is necessary to do UVE before SPA. Because the cutoff threshold selection in UVE algorithm using an artificial random noise cannot obtain the optimal results, we applied simulated annealing (SA) algorithm to estimate the optimal cutoff threshold. The discrimination results show that UVE-SA did better works than conventional UVE. Only 13 variables were obtained by UVE-SA-SPA while the conventional UVE-based SPA selected 77 variables. The best 97.5% CAR and K of 0.967 result of UVE-SPA-LS-SVM model show that it is feasible to distinguish different brands of rapeseed oils using H-1 NMR spectra. It shows that a combination of SA, UVE, and SPA is effective method for the classification of rapeseed oils. Final result shows that all acyl chains, linolenyl and linoleyl chains, and triglycerides were most important for the classification. |
| 学科主题 | Food Science & Technology |
| 收录类别 | SCI |
| 资助信息 | NSFC [30900129]; ZJNSFC [Y2080331]; ZJST [2009C34014]; WZST [H20080052] |
| 语种 | 英语 |
| WOS记录号 | WOS:000275538100021 |
| 公开日期 | 2011-07-08 |
| 源URL | [http://210.75.237.14/handle/351003/18373]  |
| 专题 | 成都生物研究所_天然产物研究 |
| 推荐引用方式 GB/T 7714 | Chen, Xiaojing,Li, Han,Wu, Di,et al. Application of a hybrid variable selection method for the classification of rapeseed oils based on H-1 NMR spectral analysis[J]. EUROPEAN FOOD RESEARCH AND TECHNOLOGY,2010,230(6):981-988. |
| APA | Chen, Xiaojing,Li, Han,Wu, Di,Lei, Xinxiang,Zhu, Xiangou,&Zhang, Anjiang.(2010).Application of a hybrid variable selection method for the classification of rapeseed oils based on H-1 NMR spectral analysis.EUROPEAN FOOD RESEARCH AND TECHNOLOGY,230(6),981-988. |
| MLA | Chen, Xiaojing,et al."Application of a hybrid variable selection method for the classification of rapeseed oils based on H-1 NMR spectral analysis".EUROPEAN FOOD RESEARCH AND TECHNOLOGY 230.6(2010):981-988. |
入库方式： OAI收割
来源：成都生物研究所
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