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首页> 外文期刊>Analytical chemistry >Identification of Anomeric Configuration of Underivatized Reducing Glucopyranosyl-glucose Disaccharides by Tandem Mass Spectrometry and Multivariate Analysis
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Identification of Anomeric Configuration of Underivatized Reducing Glucopyranosyl-glucose Disaccharides by Tandem Mass Spectrometry and Multivariate Analysis

机译:串联质谱和多变量分析鉴定未衍生化还原葡糖基葡糖基葡萄糖二糖的端基构型

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摘要

The possibility of discrimination of the anomeric configuration(alpha or beta) of underivatized reducing glucopyranosyl-glucose disaccharides, using a hybrid mass spectrometer Q-TOF 2 (Micromass), a linear ion trap LXQ (Thermo), and a triple quadrupole Quattro (Micromass) with an electrospray source (ESI) was investigated. Differences observed in the relative abundances of specific product ions obtained from collisionally induced dissociation of the [M + Li]~(+) adducts were statistically analyzed, and discriminant analysis was performed. MANOVA has shown that anomeric configuration has influence on the combined dependent variables (relative abundances of m/z product ions) in all the three mass spectrometers used (Q-TOF 2, LIT, and QqQ). Discriminant analysis has shown that, in all instruments, it is possible to discriminate anomeric configurations and to build a diagnostic model. These diagnostic differences are even more relevant considering that no derivatization procedures are needed for obtaining this structural information. The Q-TOF 2 instrument has been shown to give data that allowed us to build a model with better discriminant power (Wilks' lambda value of 0.014) followed by the QqQ instrument (Wilks' lambda value of 0.029) and the LIT instrument (Wilks' lambda value of 0.037).
机译:使用混合质谱仪Q-TOF 2(Micromass),线性离子阱LXQ(Thermo)和三重四极杆Quattro(Micromass)来区分未衍生化还原吡喃葡萄糖基-葡萄糖二糖的异头构型(α或β)的可能性)使用电喷雾源(ESI)进行了研究。对从[M + Li]〜(+)加合物的碰撞诱导解离获得的特定产物离子的相对丰度观察到的差异进行统计分析,并进行判别分析。 MANOVA已显示,在所有使用的三种质谱仪(Q-TOF 2,LIT和QqQ)中,端基异构体的构型都会影响其组合因变量(m / z产物离子的相对丰度)。判别分析表明,在所有仪器中,都可以辨别异头异构体配置并建立诊断模型。考虑到不需要衍生程序即可获取此结构信息,这些诊断差异就更加相关。已显示Q-TOF 2仪器提供的数据使我们能够建立具有更好判别力的模型(Wilks的lambda值为0.014),然后是QqQ仪器(Wilks的lambda值为0.029)和LIT仪器(Wilks) λ值为0.037)。

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