Elucidating the structure of carbon nanoparticles by ultra-performance liquid chromatography coupled with electrospray ionisation quadrupole time-of-flight tandem mass spectrometry

Elucidating the structure of carbon nanoparticles by ultra-performance liquid chromatography coupled with electrospray ionisation quadrupole time-of-flight tandem mass spectrometry
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DOI:
10.1016/j.aca.2016.01.034
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发表时间:
2016-03-10
影响因子:
6.2
通讯作者:
Chan, Wan
Chan, Wan
中科院分区:
化学1区
文献类型:
--
作者:
Hu, Qin;Meng, Xiangpeng;Chan, Wan

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建立了一种快速、准确的超高效液相色谱-电喷雾电离四极杆飞行时间串联质谱(UPLC-ESI-Q-TOF-MS/MS)方法,用于荧光碳纳米颗粒(CNP)的分离和结构解析。以柠檬酸(CA)和1,2-乙二胺(EDA)为原料,微波辅助热解合成CNP。采用高效液相色谱(UPLC)分离,可在4.0 min内将产物分离成10个组分。基于高精度MS和MS/MS分析,CNP物种显示出6种化学式,包括(C10H20N4O5)(n)、(C8H12N2O5)(n)、(C16H22N4O9)(n)、(C6H8O7)(n)、(C14H18N2O11)(n)和(C14H16N2O10) n。特别是,我们的研究首次揭示了CNP物种以超分子簇的形式存在,它们的单个单体单元通过非共价键连接在一起。这些结果清楚地表明UPLC-ESI-Q-TOF-MS/MS在鉴别CNP产品化学成分方面的有效性。预计我们提出的方法可以应用于研究CNP的结构-性质关系,促进生产具有理想光谱特征的CNP。(C) 2016 Elsevier B.V.版权所有
A fast and accurate ultra-performance liquid chromatography coupled with electrospray ionisation quadrupole time-of-flight tandem mass spectrometry (UPLC-ESI-Q-TOF-MS/MS) method was developed for the separation and structural elucidation of fluorescent carbon nanoparticles (CNP). The CNP was synthesised from microwave-assisted pyrolysis of citric acid (CA) and 1,2-ethylenediamine (EDA). By using UPLC separation, the CNP product was well separated into ten fractions within 4.0 min. Based on high-accuracy MS and MS/MS analyses, the CNP species were revealed to display six kinds of chemical formulas, including (C10H20N4O5)(n), (C8H12N2O5)(n), (C16H22N4O9)(n), (C6H8O7)(n), (C14H18N2O11)(n), and (C14H16N2O10) n. In particular, our study revealed for the first time that the CNP species exist as supramolecular clusters with their individual monomers units linked together through non-covalent bonding forces. These findings clearly indicated the usefulness of UPLC-ESI-Q-TOF-MS/MS in identifying the chemical composition of CNP product. It is anticipated that our proposed methodology can be applied to study the structure-property relationships of CNP, facilitating in the production of CNP with desirable spectral features. (C) 2016 Elsevier B.V. All rights reserved.