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Substitution patterns in aromatic rings by increment analysis. Model development and application to natural organic matter

机译:通过增量分析的芳环中的取代模式。模型开发及在天然有机物中的应用

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The aromatic region of two-dimensional heteronuclear H-1, C-13 NMR spectra of natural organic matter and related materials (e.g., H-1 and C-13 chemical shifts ranging from approximately 5 to 10 and 80 to 140 ppm, respectively) is highly complex and difficult to interpret using conventional approaches. In principle, this region of the NMR spectrum should be amenable to detailed analysis, because the effects of many common substituents on the chemical shifts of aromatic carbon and hydrogen are well documented. This paper describes the development of a model for prediction of substitution patterns in aromatic rings by increment analysis (SPARIA). In the forward mode, SPARIA is used to predict the chemical shifts of H-1 and C-13 on aromatic moieties containing every possible combination of eight common substituents that are likely to be representative of substituents on aromatic moieties in natural organic matter. The accuracy of SPARIA in the forward mode is evaluated for 29 aromatic compounds (100 peaks) by comparison of predicted chemical shifts for H-1 and C-13 with experimental values and with predictions of commercially available software for prediction of NMR spectra. The most important development in this paper is the inverse mode that is built into SPARIA. Given chemical shifts for H-1 and C-13 (such as may be obtained from a two-dimensional, heteronuclear NMR spectrum), the inverse mode of SPARIA calculates all possible combinations of the eight selected substituents that yield chemical shifts within a specified window of chemical shift for both H-1 and C-13. Both the distribution of possible substitution patterns and simple descriptive statistics of the distribution are thus obtained. The inverse mode of SPARIA has been tested on the 29 aromatic compounds (100 peaks) that were used to evaluate its forward mode, and the dependence of the inverse process on the size of the chemical shift window has been evaluated. Finally, the inverse mode of SPARIA has been applied to selected peaks from the two-dimensional heteronuclear HSQC spectrum of a sample of natural organic matter that was isolated by reverse osmosis from the Suwannee River in southeastern Georgia.
机译:天然有机物和相关材料的二维异核 H-1、C-13 NMR 谱图(例如,H-1 和 C-13 的化学位移分别约为 5 至 10 和 80 至 140 ppm)的芳香区非常复杂,难以使用传统方法解释。原则上,核磁共振波谱的这个区域应该适合进行详细分析,因为许多常见取代基对芳香族碳和氢的化学位移的影响是有据可查的。本文介绍了通过增量分析(SPARIA)预测芳环取代模式的模型的发展。在正向模式下,SPARIA 用于预测 H-1 和 C-13 在芳香族部分上的化学位移,这些部分包含八种常见取代基的所有可能组合,这些取代基可能代表天然有机物中芳香族部分的取代基。通过将 H-1 和 C-13 的预测化学位移与实验值进行比较,并与用于预测 NMR 谱图的市售软件的预测,评估了 29 种芳香族化合物(100 个峰)的 SPARIA 在正向模式下的准确性。本文中最重要的发展是 SPARIA 内置的反向模式。给定 H-1 和 C-13 的化学位移(例如可以从二维异核 NMR 谱图中获得),SPARIA 的逆模式计算八个选定取代基的所有可能组合,这些组合在指定的 H-1 和 C-13 化学位移窗口内产生化学位移。因此,既得到了可能的替代模式的分布,也得到了分布的简单描述性统计。SPARIA的反向模式已经在用于评估其正向模式的29种芳香族化合物(100个峰)上进行了测试,并评估了反向过程对化学位移窗口大小的依赖性。最后,将SPARIA的逆模式应用于从佐治亚州东南部Suwannee河通过反渗透分离的天然有机物样品的二维异核HSQC光谱中的选定峰。

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