Department of Chemistry & Biochemistry, Old Dominion University, Norfolk, Virginia 23529, United States.
Anal Chem. 2013 Apr 16;85(8):3895-902. doi: 10.1021/ac303221j. Epub 2013 Apr 5.
Two-dimensional (2D) correlation analysis was applied to 20 Fourier transform ion cyclotron resonance mass spectra (FTICR-MS) of ultrafiltered dissolved organic matter samples from a salinity transect of the lower Chesapeake Bay. We were able to investigate the chemical changes in the dissolved organic matter pool at the molecular level and classify the individual peaks based on their biogeochemical reactivity. The power of this technique is its ability to be used on either the presence/absence of the individual peaks or their normalized magnitudes. The presence or absence of the peaks are utilized to identify the reactivity and correlation between peaks that plot in different regions of the van Krevelen diagram, whereas the normalized magnitudes are used to correlate the changes among individual peaks. One of the promising advantages of 2D correlation of FTICR-MS data is the ability to associate the variations of the individual peaks with the changes in the functional groups that are measured by other spectroscopic techniques. This approach takes us one step further from identifying molecular formulas to proposing chemical structures.
我们对切萨皮克湾下游盐度断面的超滤液中溶解有机质的 20 个傅里叶变换离子回旋共振质谱(FTICR-MS)数据进行了二维相关分析,以便从分子水平研究溶解有机质库中的化学变化,并根据其生物地球化学反应性对各个峰进行分类。该技术的强大之处在于,既可以基于单个峰的存在/缺失,也可以基于其归一化幅度来进行分析。通过使用峰的存在或缺失,可以识别出在范克瑞夫伦图谱不同区域绘制的峰之间的反应性和相关性,而归一化幅度则用于关联各个峰之间的变化。FTICR-MS 数据二维相关的一个有前途的优势是,它能够将各个峰的变化与通过其他光谱技术测量的官能团的变化相关联。这种方法使我们从识别分子公式更进一步,提出了化学结构。