Ultra-high performance supercritical fluid chromatography hyphenated to atmospheric pressure chemical ionization high resolution mass spectrometry for the characterization of fast pyrolysis bio-oils

被引:30
作者
Crepier, Julien [1 ]
Le Masle, Agnes [1 ]
Charon, Nadege [1 ]
Albrieux, Florian [1 ]
Duchene, Pascal [1 ]
Heinisch, Sabine [2 ]
机构
[1] IFP Energies Nouvelles, Rond Point Echangeur Solaize, BP 3, F-69360 Solaize, France
[2] Univ Lyon, Inst Sci Analyt, UMR 5280, CNRS,ENS Lyon, 5 Rue Doua, F-69100 Villeurbanne, France
来源
JOURNAL OF CHROMATOGRAPHY B-ANALYTICAL TECHNOLOGIES IN THE BIOMEDICAL AND LIFE SCIENCES | 2018年 / 1086卷
关键词
Ultra-high performance supercritical fluid chromatography; High resolution mass spectrometry; APCI source; Biomass fast pyrolysis; Bio-oil; Complex samples; LIQUID-CHROMATOGRAPHY; ELECTROSPRAY-IONIZATION; BIOMASS; SEPARATION; PHASE;
D O I
10.1016/j.jchromb.2018.04.005
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Extensive characterization of complex mixtures requires the combination of powerful analytical techniques. A Supercritical Fluid Chromatography (SFC) method was previously developed, for the specific case of fast pyrolysis bio oils, as an alternative to gas chromatography (GC and GC x GC) or liquid chromatography (LC and LC x LC), both separation methods being generally used prior to mass spectrometry (MS) for the characterization of such complex matrices. In this study we investigated the potential of SFC hyphenated to high resolution mass spectrometry (SFC-HRMS) for this characterization using Negative ion Atmospheric Pressure Chemical ionization (( - )APCI) for the ionization source. The interface between SFC and (-)APCI/HRMS was optimized from a mix of model compounds with the objective of maximizing the signal to noise ratio. The main studied parameters included both make-up flow-rate and make-up composition. A methodology for the treatment of APCI/HRMS data is proposed. This latter allowed for the identification of molecular formulae. Both SFC-APCI/HRMS method and data processing method were applied to a mixture of 36 model compounds, first analyzed alone and then spiked in a bio-oil. In both cases, 19 compounds could be detected. Among them 9 could be detected in a fast pyrolysis bio-oil by targeted analysis. The whole procedure was applied to the characterization of a bio-oil using helpful representations such as mass-plots, van Krevelen diagrams and heteroatom class distributions. Finally the results were compared with those obtained with a Fourier Transform ion-cyclotron resonance mass spectrometer (FT-ICR/MS).
引用
收藏
页码:38 / 46
页数:9
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