Font Rafael, del Río-Celestino Mercedes, Cartea Elena, de Haro-Bailón Antonio
Department of Agronomy and Plant Breeding, Institute of Sustainable Agriculture, (CSIC), Alameda del Obispo s/n, 14080 Córdoba, Spain.
Phytochemistry. 2005 Jan;66(2):175-85. doi: 10.1016/j.phytochem.2004.11.011.
The potential of near-infrared spectroscopy (NIRS) for screening the total glucosinolate (t-GSL) content, and also, the aliphatic glucosinolates gluconapin (GNA), glucobrassicanapin (GBN), progoitrin (PRO), glucoalyssin (GAL), and the indole glucosinolate glucobrassicin (GBS) in the leaf rape (Brassica napus L. ssp. pabularia DC), was assessed. This crop is grown for edible leaves for both fodder and human consumption. In Galicia (northwestern Spain) it is highly appreciated for human nutrition and have the common name of "nabicol". A collection of 36 local populations of nabicol was analysed by NIRS for glucosinolate composition. The reference values for glucosinolates, as they were obtained by high performance liquid chromatography on the leaf samples, were regressed against different spectral transformations by modified partial least-squares (MPLS) regression. The coefficients of determination in cross-validation (r2) shown by the equations for t-GSL, GNA, GBN, PRO, GAL and GBS were, respectively, 0.88, 0.73, 0.81, 0.78, 0.37 and 0.41. The standard deviation to standard error of cross-validation ratio, were for these constituents, as follows: t-GSL, 2.96; GNA, 1.94; GBN, 2.31; PRO, 2.11; GAL, 1.27, and GBS, 1.29. These results show that the equations developed for total glucosinolates, as well as those for gluconapin, glucobrassicanapin and progoitrin, can be used for screening these compounds in the leaves of this species. In addition, the glucoalyssin and glucobrassicin equations obtained, can be used to identify those samples with low and high contents. From the study of the MPLS loadings of the first three terms of the different equations, it can be concluded that some major cell components as protein and cellulose, highly participated in modelling the equations for glucosinolates.
评估了近红外光谱法(NIRS)用于筛选叶用油菜(Brassica napus L. ssp. pabularia DC)中总硫代葡萄糖苷(t-GSL)含量以及脂肪族硫代葡萄糖苷葡萄糖异硫氰酸烯丙酯(GNA)、葡萄糖异硫氰酸苄酯(GBN)、前甲状腺素(PRO)、葡萄糖异硫氰酸赖氨酸酯(GAL)和吲哚硫代葡萄糖苷葡萄糖芸苔素(GBS)的潜力。这种作物种植的可食用叶片用于饲料和人类消费。在加利西亚(西班牙西北部),它因人类营养而备受推崇,俗称为“nabicol”。通过NIRS分析了36个nabicol地方种群的硫代葡萄糖苷组成。通过高效液相色谱法在叶片样品上获得的硫代葡萄糖苷参考值,通过改进的偏最小二乘法(MPLS)回归与不同的光谱变换进行回归分析。t-GSL、GNA、GBN、PRO、GAL和GBS方程在交叉验证中的决定系数(r2)分别为0.88、0.73、0.81、0.78、0.37和0.41。交叉验证比的标准偏差与标准误差之比,这些成分如下:t-GSL为2.96;GNA为1.94;GBN为2.31;PRO为2.11;GAL为1.27,GBS为1.29。这些结果表明,所建立的总硫代葡萄糖苷方程以及葡萄糖异硫氰酸烯丙酯、葡萄糖异硫氰酸苄酯和前甲状腺素方程可用于筛选该物种叶片中的这些化合物。此外,所获得的葡萄糖异硫氰酸赖氨酸酯和葡萄糖芸苔素方程可用于识别含量低和高的样品。从对不同方程前三项的MPLS载荷的研究可以得出结论,一些主要的细胞成分如蛋白质和纤维素,在硫代葡萄糖苷方程建模中高度参与。