Engineering and Wind Erosion Research Unit Site Logo
ARS Home About Us Helptop nav spacerContact Us En Espanoltop nav spacer
Printable VersionPrintable Version     E-mail this pageE-mail this page
Agricultural Research Service United States Department of Agriculture
Search
  Advanced Search
 
Programs and Projects
Subjects of Investigation
Pack Factor Study
 

Research Project: PRESERVATION, ENHANCEMENT, AND MEASUREMENT OF GRAIN QUALITY AND MARKETABILITY

Location: Engineering and Wind Erosion Research Unit

Title: Qualitative and quantitative analysis of lignocellulosic biomass using infrared techniques: A mini-review

Authors
item Xu, Feng -
item Yu, Jianming -
item Tesso, Tesfaye -
item Dowell, Floyd
item Wang, Donghai -

Submitted to: Applied Energy
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: December 5, 2012
Publication Date: January 1, 2013
Repository URL: http://handle.nal.usda.gov/10113/56124
Citation: Xu, F., Yu, J., Tesso, T., Dowell, F.E., Wang, D. 2013. Qualitative and quantitative analysis of lignocellulosic biomass using infrared techniques: A mini-review. Applied Energy. 104:801-809.

Interpretive Summary: Lignocellulosic biomass has become an alternative source for production of chemicals and fuels because it is renewable and could reduce greenhouse gas emissions by replacing petroleum sources. The major components of lignocellulosic biomass are cellulose, hemicellulose, and lignin. Current wet chemical methods for biomass composition analysis using two-step sulfuric acid hydrolysis are time-consuming, labor-intensive, and unable to provide structural information about biomass. Infrared techniques provide fast, low-cost analysis, are non-destructive, and have shown promising results. Chemometric analysis has allowed researchers to perform qualitative and quantitative study of biomass with both near-infrared and mid-infrared spectroscopy. This review summarizes the progress and applications of infrared techniques in biomass study, and compares the infrared and the wet chemical methods for composition analysis. In addition to reviewing recent studies of biomass structure and composition, we also discuss the progress and prospects for the applications of infrared techniques.

Technical Abstract: Current wet chemical methods for biomass composition analysis using two-step sulfuric acid hydrolysis are time-consuming, labor-intensive, and unable to provide structural information about biomass. Infrared techniques provide fast, low-cost analysis, are non-destructive, and have shown promising results. Chemometric analysis has allowed researchers to perform qualitative and quantitative study of biomass with both near-infrared and mid-infrared spectroscopy. This review summarizes the progress and applications of infrared techniques in biomass study, and compares the infrared and the wet chemical methods for composition analysis. In addition to reviewing recent studies of biomass structure and composition, we also discuss the progress and prospects for the applications of infrared techniques.

   

 
Project Team
Pearson, Tom
Dowell, Floyd
Armstrong, Paul
Casada, Mark
 
Publications
   Publications
 
Related National Programs
  Quality and Utilization of Agricultural Products (306)
 
Related Projects
   ESTABLISHING NEW GRAIN PACKING FACTORS: FIELD DATA FROM THE WESTERN U.S.
   LABORATORY AND FIELD DATA FOR ESTABLISHING NEW GRAIN PACKING FACTORS
   MODEL AND FIELD DATA FOR ESTABLISHING NEW GRAIN PACKING FACTORS
   DEVELOPING NEW STORED GRAIN PACK FACTORS WITH KNOWN ACCURACY FOR THE COMMON GRAINS IN TRADE UNDER A COMPLETE RANGE OF FIELD CONDITIONS
   IMPROVED SENSING SYSTEMS FOR GRAIN QUALITY MEASUREMENT AND STORAGE
   EVALUATION OF GRAIN MONITORING CABLES DURING LOW-TEMPERATURE DRYING
   EVALUATION OF LOW-TEMPERATURE DRYING AND AERATION MONITORING AND CONTROL SYSTEM
   SPECTROSCOPIC MEASUREMENT OF BIOLOGICAL MATERIALS
 
 
Last Modified: 05/21/2013
ARS Home | USDA.gov | Site Map | Policies and Links 
FOIA | Accessibility Statement | Privacy Policy | Nondiscrimination Statement | Information Quality | USA.gov | White House