Lehrstuhl fur Allgemeine Lebensmitteltechnologie, Technische Universitat Munchen, Maximus-von-Imhof-Forum 2, D-85350 Freising-Weihenstephan, Germany.
J Agric Food Chem. 2010 Mar 10;58(5):3022-30. doi: 10.1021/jf904101g.
Maize ( Zea mays ) kernels grown conventionally and organically, respectively, were investigated using a gas chromatography/mass spectrometry (GC/MS)-based metabolite profiling methodology. By analysis of three cultivars grown at two locations with different input systems and at a third location where both organic and conventional farming were applied, the impact of the growing regime on the metabolite spectrum should be put into the context of natural variability. The applied analytical approach involved consecutive extraction of freeze-dried maize flour and subsequent subfractionation. Approximately 300 compounds from a broad spectrum of chemical classes were detected, of which 167 were identified. The metabolite profiling data were statistically assessed via principal component analysis (PCA) and analysis of variance (ANOVA). The PCA demonstrated that the observed separations were mainly due to genetic differences (cultivars) and environmental influences. The different input systems (conventional/organic) only led to minor differentiations. ANOVA and quantification of selected constituents confirmed these observations. Only three metabolites (malic acid, myo-inositol, and phosphate) were consistently different because of the employed input system if samples from all field trials were considered.
分别采用气相色谱/质谱（GC/MS）代谢物分析方法对常规种植和有机种植的玉米（Zea mays）籽粒进行了研究。通过对在具有不同投入系统的两个地点和第三个同时采用有机和常规种植方式的地点种植的三个品种进行分析，应该将生长方式对代谢物谱的影响置于自然变异的背景下进行考虑。所应用的分析方法涉及对冻干玉米粉的连续提取和随后的亚组分分离。从广泛的化学类别中检测到了约 300 种化合物，其中鉴定出了 167 种。通过主成分分析（PCA）和方差分析（ANOVA）对代谢物分析数据进行了统计学评估。PCA 表明，观察到的分离主要是由于遗传差异（品种）和环境影响。不同的投入系统（常规/有机）仅导致较小的差异。ANOVA 和选定成分的定量分析证实了这些观察结果。如果考虑所有田间试验的样本，则只有三种代谢物（苹果酸、肌醇和磷酸盐）由于所采用的投入系统而始终存在差异。
