An approach for on-line analysis of multi-component volatiles from coal pyrolysis with Li+-attachment ionization mass spectrometry

Lu Zhang, Shi Chao Qi, Keita Iwanaga, Kazuhiro Uemura, Li Xin Zhang, Shinji Kudo, Hayashi Jun-Ichiro, Kenji Furuya, Koyo Norinaga

Research output: Contribution to journalArticle

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Abstract

Ion-attachment mass spectrometry (IAMS) is a technique used for measuring easily ionized organic compounds in a non-fragmenting mode by softly attaching a Li+or another type of alkaline ion to the gaseous molecule. In this study, a prototype device for Li+IAMS is developed for real-time quantitative monitoring of the vapor produced from thermochemical conversion of coal. Simulated tar vapor containing a suite of aromatics and the real vapor produced from the pyrolysis of coal are monitored by IAMS with a Li+source. It is confirmed that both the simulated and real vapors are ionized without undergoing fragmentation and the sensitivities of these detected aromatic molecules are similar to one another. In addition, when the feeding rate of the coal sample is changed from 0.5 to 1.0 g/min, the peak intensities increase nearly twice as much. These results show the possibility of applying IAMS to the quantitatively monitoring of coal-derived volatiles.

Original languageEnglish
Pages (from-to)141-145
Number of pages5
JournalFuel Processing Technology
Volume158
DOIs
Publication statusPublished - Jan 1 2017

Fingerprint

Coal
Ionization
Mass spectrometry
Pyrolysis
Ions
Vapors
Tars
Molecules
Monitoring
Tar
Organic compounds

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Fuel Technology
  • Energy Engineering and Power Technology

Cite this

An approach for on-line analysis of multi-component volatiles from coal pyrolysis with Li+-attachment ionization mass spectrometry. / Zhang, Lu; Qi, Shi Chao; Iwanaga, Keita; Uemura, Kazuhiro; Zhang, Li Xin; Kudo, Shinji; Jun-Ichiro, Hayashi; Furuya, Kenji; Norinaga, Koyo.

In: Fuel Processing Technology, Vol. 158, 01.01.2017, p. 141-145.

Research output: Contribution to journalArticle

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AU - Zhang, Li Xin

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