Quantification of high-resolution (1)H NMR spectra from rat brain extracts.

Quantification of high-resolution (1)H NMR spectra from rat brain extracts.
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DOI:
10.1021/ac102285c
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发表时间:
2011-01-01
影响因子:
7.4
通讯作者:
Behar, Kevin L.
Behar, Kevin L.
中科院分区:
化学1区
文献类型:
--
作者:
de Graaf, Robin A.;Chowdhury, Golam M. I.;Behar, Kevin L.

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从大脑提取物等复杂混合物的高分辨率 1H NMR 谱中提取有关绝对浓度的定量信息仍然具有挑战性。共振的部分重叠使积分变得复杂,而简单的线拟合算法无法适应耦合自旋系统的光谱复杂性。此处显示,可以使用 29 种化合物的基础集对 11 个不同大脑区域的大鼠脑提取物的高分辨率 1H NMR 谱进行可重复定量。使用化学位移和标量耦合的完整先验知识,通过密度矩阵形式来模拟基组。获得可重复结果的一个关键因素是包含 29 种化合物的所有 73 个共振中常见的线形失真。所有代谢物均可以受试者间和受试者内变异分别<10% 和<3% 进行定量。
Extracting quantitative information about absolute concentrations from high-resolution 1H NMR spectra of complex mixtures such as brain extracts remains challenging. Partial overlap of resonances complicates integration, whereas simple line fitting algorithms cannot accommodate the spectral complexity of coupled spin-systems. Here it is shown that high-resolution 1H NMR spectra of rat brain extracts from 11 distinct brain regions can be reproducibly quantified using a basis set of 29 compounds. The basis set is simulated with the density matrix formalism using complete prior knowledge of chemical shifts and scalar couplings. A crucial aspect to obtain reproducible results was the inclusion of a line shape distortion common among all 73 resonances of the 29 compounds. All metabolites could be quantified with <10% and <3% inter- and intrasubject variation, respectively.
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发表时间: 2008-10-01
影响因子: 2.2
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