Evaluation of elemental composition obtained by using mass spectrometer and elemental analyzer: A case study on model compound mixtures and a coal-derived liquid. (1st June 2019)
- Record Type:
- Journal Article
- Title:
- Evaluation of elemental composition obtained by using mass spectrometer and elemental analyzer: A case study on model compound mixtures and a coal-derived liquid. (1st June 2019)
- Main Title:
- Evaluation of elemental composition obtained by using mass spectrometer and elemental analyzer: A case study on model compound mixtures and a coal-derived liquid
- Authors:
- Dong, Xueming
Wang, Fei
Fan, Xing
Zhao, Yun-Peng
Wei, Xian-Yong
Wang, Rui-Yu
Ma, Feng-Yun
Liu, Jing-Mei
Li, Bei - Abstract:
- Highlights: A method to evaluate the bias of three MS ionization methods was proposed for coal. Elemental compositions obtained from ultimate analysis was set as a reference. Elemental compositions derived from APCI-MS showed closer values to ultimate analysis. Adjusted compound classes offer a closer measurement to the actual values. Abstract: The relative abundances of compound classes (e.g. CHO1, CHO2 and CHNO1 ) in fossil fuels have been widely used in previous researches based on the data from mass spectrometry (MS). However, such observations are susceptible to the ionization bias of MS due to the variation of ionization efficiency, which may affect the downstream quantitative analysis. Many efforts have been devoted to investigating the ionization efficiencies of a variety of model compounds, but not complex and diverse mixtures. Therefore, it is necessary to investigate how quantitatively ionization bias affects the MS analysis of complex mixtures. In this study, ionization bias was preliminarily investigated by comparing the elemental compositions obtained from MS-analysis via different ionization methods with the data acquired by a standard elemental analyzer. A coal-derived liquid and mixtures of five model compounds were ionized by atmospheric-pressure chemical ionization (APCI), electrospray ionization or direct analysis in real-time, followed by analyzing using a high-resolution Orbitrap MS to obtain elemental compositions. MS-based results via APCI ion sourceHighlights: A method to evaluate the bias of three MS ionization methods was proposed for coal. Elemental compositions obtained from ultimate analysis was set as a reference. Elemental compositions derived from APCI-MS showed closer values to ultimate analysis. Adjusted compound classes offer a closer measurement to the actual values. Abstract: The relative abundances of compound classes (e.g. CHO1, CHO2 and CHNO1 ) in fossil fuels have been widely used in previous researches based on the data from mass spectrometry (MS). However, such observations are susceptible to the ionization bias of MS due to the variation of ionization efficiency, which may affect the downstream quantitative analysis. Many efforts have been devoted to investigating the ionization efficiencies of a variety of model compounds, but not complex and diverse mixtures. Therefore, it is necessary to investigate how quantitatively ionization bias affects the MS analysis of complex mixtures. In this study, ionization bias was preliminarily investigated by comparing the elemental compositions obtained from MS-analysis via different ionization methods with the data acquired by a standard elemental analyzer. A coal-derived liquid and mixtures of five model compounds were ionized by atmospheric-pressure chemical ionization (APCI), electrospray ionization or direct analysis in real-time, followed by analyzing using a high-resolution Orbitrap MS to obtain elemental compositions. MS-based results via APCI ion source showed the closest elemental compositions to those obtained from the elemental analyzer. For the MS-based analysis, the abundances of S- and O-containing compounds were significantly lower and that of N-containing compounds was clearly higher compared to ultimate analysis. The abundances of compound classes were adjusted to provide a closer approximation of the actual contents, which might better serve for the downstream quantitative analysis. Although absolute quantification still needs additional work, the adjusted MS-based analysis provides not only the molecular level data, but also a better quantification ability compared to previous analytical approaches. … (more)
- Is Part Of:
- Fuel. Volume 245(2019)
- Journal:
- Fuel
- Issue:
- Volume 245(2019)
- Issue Display:
- Volume 245, Issue 2019 (2019)
- Year:
- 2019
- Volume:
- 245
- Issue:
- 2019
- Issue Sort Value:
- 2019-0245-2019-0000
- Page Start:
- 392
- Page End:
- 397
- Publication Date:
- 2019-06-01
- Subjects:
- Coal -- Ultimate analysis -- Mass spectrometry -- Ionization efficiency -- Adjusted compound class
Fuel -- Periodicals
Coal -- Periodicals
Coal
Fuel
Periodicals
662.6 - Journal URLs:
- http://www.sciencedirect.com/science/journal/latest/00162361 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.fuel.2019.02.089 ↗
- Languages:
- English
- ISSNs:
- 0016-2361
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4048.000000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16407.xml