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金刚石纳米颗粒对质谱分析中碳水化合物离子丰度的选择性增强。

Selective enhancement of carbohydrate ion abundances by diamond nanoparticles for mass spectrometric analysis.

机构信息

Genomics Research Center, Academia Sinica, Taipei 115, Taiwan, ROC.

出版信息

Anal Chem. 2013 Apr 16;85(8):3836-41. doi: 10.1021/ac3036469. Epub 2013 Mar 28.

DOI:10.1021/ac3036469
PMID:23496007
Abstract

Diamond nanoparticles (DNPs) were incorporated into matrix-assisted laser desorption/ionization (MALDI) samples to enhance the sensitivity of the mass spectrometer to carbohydrates. The DNPs optimize the MALDI sample morphology and thermalize the samples for thermally labile compounds because they have a high thermal conductivity, a low extinction coefficient in UV-vis spectral range, and stable chemical properties. The best enhancement effect was achieved when matrix, DNP, and carbohydrate solutions were deposited and vacuum-dried consecutively to form a trilayer sample morphology. It allows the direct identification of underivatized carbohydrates mixed with equal amount of proteins because no increase in the ion abundance of proteins was achieved. For dextran with an average molecular weight of 1500, the trilayer method typically improves the sensitivity by 79- and 7-fold in comparison to the conventional dried-droplet and thin-layer methods, respectively.

摘要

金刚石纳米颗粒(DNP)被掺入基质辅助激光解吸/电离(MALDI)样品中,以提高质谱仪对碳水化合物的灵敏度。DNP 优化了 MALDI 样品的形态,并使热不稳定化合物热平衡,因为它们具有高热导率、在紫外-可见光谱范围内的低消光系数和稳定的化学性质。当基质、DNP 和碳水化合物溶液连续沉积并真空干燥以形成三层样品形态时,获得了最佳的增强效果。这允许直接鉴定与等量蛋白质混合的未衍生碳水化合物,因为蛋白质的离子丰度没有增加。对于平均分子量为 1500 的葡聚糖,与传统的干液滴和薄层方法相比,三层方法通常分别将灵敏度提高了 79 倍和 7 倍。

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