| 摘要: |
| 应用近红外光谱技术（NIRS）对油菜种子9种主要品质参数进行了分析研究，并建立了数学模型。内部交叉验证结果表明，油菜种子油酸、亚油酸、亚麻酸、芥酸和饱和脂肪酸的决定系数R^2分别为98.97％，93.02％，86.49％，99.53％和84．78％．均方差分别为2.20,1.12,0.46,1.51和0.29；油菜种子含水量、含油量、硫苷和蛋白质含量的R^2分别为99.64％，98.91％，82.46％～98.40％和89．32％，均方差分别为0.23，0.39，2.59～13．50和0．74。对于含量较小而极差较大的硫苷采用分段建模，可提高分析结果的准确性。外部检验结果表明：各参数近红外预测值和标准方法之间的相关系数高达0.883～0.992；平均相对误差较小，为2.62％～8.19％；t测验差异不显著。研究表明NIRS技术具有检测快速、结果准确、制样简便、无污染和无损伤等优点，已经应用于油菜种子品质分析，并且分析参数还可以扩展。 |
| 关键词: 油菜 品质参数 近红外光谱技术 数学模型 无损伤分析 |
| DOI： |
| 分类号: |
| 基金项目:科技部农业科技成果转化项目(02EFN216100576);陕西省科学技术研究发展计划项目(2004K01-G6) |
|
| Determination of quality factors in intact rapeseed by near infrared reflectance spectroscopy (NIRS) |
|
|
| Abstract: |
| Near infrared reflectance spectroscopy (NIRS) was performed to determin 9 quality factors in intact rapeseed and correlation models were established.The determination coefficients (R2 ) of most fatty acid content (C18:1.C18:2,C18:3,C22:1 and Saturated fatty acid) were estimated to be 98.97%, 93.02%,86.49%,99.53% and 84.78%,and RMSECV to be 2.20,1.12,0.46,1.51 and 0.29,respectively.R2 of water content, oil content, total glucosinolate and protein content were estimated to be 99.64%,98.91%,82.46%-98.40% and 89.32%,and RMSECV to be 0.23,0.39,2.59-13.50 and 0.74,respectively.Results can be improved by calibrating sectional model for low content and large range total glucosinolate.Correlation coefficient of quality factors in rapeseed was 0.883-0.992 between NIRS and standard methods,and mean relative error was 2.62%-8.19%.Moreover there was no significant difference in student's test.NIRS is a non-destructive,rapid,efficient and pollution-free technique.It is thus concluded that NIRS analysis can be applied to quantitative analysis of quality factors of rapeseed. |
| Key words: rapeseed quality factor NIRS math model non-destructive analysis |
