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R2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R2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。
Near infrared reflectance spectroscopy （NIRS） was performed to determin 9 quality factors in intact rapeseed and correlation models were established. The determination coefficients （Rz） 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. R^2 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,respeetively. 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.
出处
《西北农林科技大学学报（自然科学版）》
CSCD
北大核心
2006年第3期61-67,共7页
Journal of Northwest A&F University(Natural Science Edition)
基金
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)
