International Journal of Analytical Chemistry

Characterization of Fossil and Renewable Fuels


Status
Published

Lead Editor

1China University of Mining and Technology, Xuzhou, China

2University of Wyoming, Laramie, USA

3Curtin University, Perth, Australia

4Los Alamos National Laboratory, Los Alamos, USA

5China University of Petroleum, Beijing, China


Characterization of Fossil and Renewable Fuels

Description

Utilization of fossil and renewable fuels in clean and value-added ways remains a key issue. Fossil fuels like petroleum and coal are among the most chemically complex natural mixtures in the world. As a renewable energy source, biomass is complex biogenic organic feedstock for renewable fuels. Knowledge of the molecular composition of fossil and renewable fuels is critical to selection and optimization of chemical processing conditions and ultimately determines the economic value of products. However, insufficient understanding of the structure and composition of fossil fuels and biomass at the molecular level will further limit clean and value-added utilization of the energy sources.

The present special issue aims to provide contributions from a variety of topics relating to the characterization of properties, structures or molecular compositions of fossil fuels, and biomass, as well as the corresponding derivatives or products through thermal, chemical, and biochemical methods. Any developments in the analytical or instrumental techniques used in the investigation on fossil fuels and biomass are encouraged.

Potential topics include but are not limited to the following:

  • Novel analytical techniques/methods/instruments for the characterization of fossil and renewable fuels
  • Analysis of derivatives or products of fuels through refining, pyrolysis, liquefaction, upgrading, fermentation, and so on
  • Separation of complex raw fuels, derivatives, or products by chromatographic or/and electrophoretic methods
  • Bioanalytical techniques for biomass, bio-oil, and biofuels
  • Sample preparation for the characterization of raw fuels, derivatives, or products
  • Online characterization during fuel processing
  • Petroleomics
  • Analysis of contamination or/and trace elements during the utilization of fuels
  • In-depth interpretation for analytical data
  • Reviews of the foregoing areas

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 5264942
  • - Editorial

Characterization of Fossil and Renewable Fuels

Xing Fan | Bo Chen | ... | Ya-He Zhang
  • Special Issue
  • - Volume 2017
  • - Article ID 9298523
  • - Review Article

Analytical Strategies Involved in the Detailed Componential Characterization of Biooil Produced from Lignocellulosic Biomass

Yao Lu | Guo-Sheng Li | ... | Xian-Yong Wei
  • Special Issue
  • - Volume 2017
  • - Article ID 7305682
  • - Research Article

Detailed Componential Characterization of Extractable Species with Organic Solvents from Wheat Straw

Yong-Chao Lu | Yao Lu | ... | Xian-Yong Wei
  • Special Issue
  • - Volume 2017
  • - Article ID 4763937
  • - Research Article

Separation Process of Fine Coals by Ultrasonic Vibration Gas-Solid Fluidized Bed

Shuai Wang | Yaqun He | ... | Weining Xie
  • Special Issue
  • - Volume 2017
  • - Article ID 6953864
  • - Research Article

Geochemical Characteristics and Origins of the Crude Oil of Triassic Yanchang Formation in Southwestern Yishan Slope, Ordos Basin

Xiaoli Zhang | Jinxian He | ... | Zeqiang Ren
  • Special Issue
  • - Volume 2017
  • - Article ID 5840690
  • - Research Article

Particle Morphology Analysis of Biomass Material Based on Improved Image Processing Method

Zhaolin Lu | Xiaojuan Hu | Yao Lu
  • Special Issue
  • - Volume 2017
  • - Article ID 4303596
  • - Research Article

Chemical Compositional Analysis of Catalytic Hydroconversion Products of Heishan Coal Liquefaction Residue

Xiaoming Yue | Yajun Wu | ... | Xianyong Wei
International Journal of Analytical Chemistry
 Journal metrics
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Acceptance rate21%
Submission to final decision93 days
Acceptance to publication15 days
CiteScore2.300
Journal Citation Indicator0.380
Impact Factor1.8
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