University of Natural Resources and Life Sciences, Department of Chemistry, Division of Chemistry of Renewables and Christian-Doppler Laboratory "Advanced Cellulose Chemistry and Analytics", Muthgasse 18, A-1190 Vienna, Austria.
Talanta. 2013 Oct 15;115:642-51. doi: 10.1016/j.talanta.2013.05.052. Epub 2013 May 28.
The qualitative and quantitative analysis of complex carbohydrate mixtures is a challenging problem. When tackled by GC/MS, close retention times and largely similar mass spectra with no specific features complicate unambiguous identification, especially of monosaccharides. An optimized pre-capillary ethoximation-silylation GC/MS method for determination of monosaccharides and disaccharides was applied to a wide range of analytes (46 compounds). The two-step derivatization resulted in a pair of syn and anti peaks with specific retention and intensity ratio. The resulting dataset of mass spectra was subjected to a PCA-based pattern recognition. An oxime peak identifier (OPI) of the carbohydrate analytes, based on the combination of an internal standard and the corresponding syn/anti peak ratios, increased the reliability of the identification of reducing carbohydrates. Finally, the introduced EtOx-TMS derivatization method was applied to four different carbohydrate matrices (agave sirup, maple sirup, palm sugar, and honey).
复杂碳水化合物混合物的定性和定量分析是一个具有挑战性的问题。当用 GC/MS 进行处理时,由于保留时间接近且质谱非常相似,没有特定的特征,这使得明确的鉴定变得复杂,尤其是对于单糖。我们应用了一种优化的毛细管前乙氧基化-硅烷化 GC/MS 方法来测定单糖和二糖,该方法适用于广泛的分析物(46 种化合物)。两步衍生化产生了一对具有特定保留时间和强度比的顺式和反式峰。所得的质谱数据集经过基于 PCA 的模式识别处理。基于内标和相应的顺/反峰比率的碳水化合物分析物肟峰标识符(OPI)提高了还原糖鉴定的可靠性。最后,我们将引入的 EtOx-TMS 衍生化方法应用于四种不同的碳水化合物基质(龙舌兰花蜜、枫糖浆、棕榈糖和蜂蜜)。