Catalytic pyrolysis of Laminaria japonica over nanoporous catalysts using Py-GC/MS

Hyung Won Lee; Jong Ki Jeon; Sung Hoon Park; Kwang Eun Jeong; Ho Jeong Chae; Young Kwon Park

doi:10.1186/1556-276X-6-500

Catalytic pyrolysis of Laminaria japonica over nanoporous catalysts using Py-GC/MS

Hyung Won Lee, Jong Ki Jeon, Sung Hoon Park, Kwang Eun Jeong, Ho Jeong Chae, Young Kwon Park

School of Environmental Engineering

Research output: Contribution to journal › Article › peer-review

32 Scopus citations

Abstract

The catalytic pyrolysis of Laminaria japonica was carried out over a hierarchical meso-MFI zeolite (Meso-MFI) and nanoporous Al-MCM-48 using pyrolysis gas chromatography/mass spectrometry (Py-GC/MS). The effect of the catalyst type on the product distribution and chemical composition of the bio-oil was examined using Py-GC/MS. The Meso-MFI exhibited a higher activity in deoxygenation and aromatization during the catalytic pyrolysis of L. japonica. Meanwhile, the catalytic activity of Al-MCM-48 was lower than that of Meso-MFI due to its weak acidity.

Original language	English
Article number	500
Pages (from-to)	1-7
Number of pages	7
Journal	Nanoscale Research Letters
Volume	6
DOIs	https://doi.org/10.1186/1556-276X-6-500
State	Published - 2011

Keywords

Al-mcm-48
Hierarchical meso-mfi zeolite
Laminaria japonica
Py-gc/ms

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10.1186/1556-276X-6-500

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title = "Catalytic pyrolysis of Laminaria japonica over nanoporous catalysts using Py-GC/MS",

abstract = "The catalytic pyrolysis of Laminaria japonica was carried out over a hierarchical meso-MFI zeolite (Meso-MFI) and nanoporous Al-MCM-48 using pyrolysis gas chromatography/mass spectrometry (Py-GC/MS). The effect of the catalyst type on the product distribution and chemical composition of the bio-oil was examined using Py-GC/MS. The Meso-MFI exhibited a higher activity in deoxygenation and aromatization during the catalytic pyrolysis of L. japonica. Meanwhile, the catalytic activity of Al-MCM-48 was lower than that of Meso-MFI due to its weak acidity.",

keywords = "Al-mcm-48, Hierarchical meso-mfi zeolite, Laminaria japonica, Py-gc/ms",

author = "Lee, \{Hyung Won\} and Jeon, \{Jong Ki\} and Park, \{Sung Hoon\} and Jeong, \{Kwang Eun\} and Chae, \{Ho Jeong\} and Park, \{Young Kwon\}",

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doi = "10.1186/1556-276X-6-500",

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journal = "Nanoscale Research Letters",

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T1 - Catalytic pyrolysis of Laminaria japonica over nanoporous catalysts using Py-GC/MS

AU - Lee, Hyung Won

AU - Jeon, Jong Ki

AU - Park, Sung Hoon

AU - Jeong, Kwang Eun

AU - Chae, Ho Jeong

AU - Park, Young Kwon

PY - 2011

Y1 - 2011

N2 - The catalytic pyrolysis of Laminaria japonica was carried out over a hierarchical meso-MFI zeolite (Meso-MFI) and nanoporous Al-MCM-48 using pyrolysis gas chromatography/mass spectrometry (Py-GC/MS). The effect of the catalyst type on the product distribution and chemical composition of the bio-oil was examined using Py-GC/MS. The Meso-MFI exhibited a higher activity in deoxygenation and aromatization during the catalytic pyrolysis of L. japonica. Meanwhile, the catalytic activity of Al-MCM-48 was lower than that of Meso-MFI due to its weak acidity.

AB - The catalytic pyrolysis of Laminaria japonica was carried out over a hierarchical meso-MFI zeolite (Meso-MFI) and nanoporous Al-MCM-48 using pyrolysis gas chromatography/mass spectrometry (Py-GC/MS). The effect of the catalyst type on the product distribution and chemical composition of the bio-oil was examined using Py-GC/MS. The Meso-MFI exhibited a higher activity in deoxygenation and aromatization during the catalytic pyrolysis of L. japonica. Meanwhile, the catalytic activity of Al-MCM-48 was lower than that of Meso-MFI due to its weak acidity.

KW - Al-mcm-48

KW - Hierarchical meso-mfi zeolite

KW - Laminaria japonica

KW - Py-gc/ms

UR - https://www.scopus.com/pages/publications/84862935482

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DO - 10.1186/1556-276X-6-500

M3 - Article

AN - SCOPUS:84862935482

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SP - 1

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JO - Nanoscale Research Letters

JF - Nanoscale Research Letters

M1 - 500

ER -

Catalytic pyrolysis of Laminaria japonica over nanoporous catalysts using Py-GC/MS

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Keywords

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