NIR spectroscopy and chemometrics for detecting some selected components of lipid-producing sorghum biomass for biofuels

Keyphrases

• Biofuel Production 100%
• Lipids 100%
• Near-infrared Spectroscopy 100%
• Biofuel 100%
• Prediction Model 100%
• Moisture 100%
• Lignocellulosic Biomass 100%
• Chemometrics 100%
• NIR Spectroscopy 100%
• Acid Detergent Lignin 100%
• Biomass Composition 100%
• Sorghum Biomass 100%
• Predictive Models 50%
• Analytical Procedures 50%
• National Renewable Energy Laboratory 50%
• Chemical Analysis 50%
• Spectral Data 50%
• Model Performance 50%
• Environmentally Friendly 50%
• Optical Wavelength 50%
• Validation Set 50%
• Alternative Energy 50%
• High-throughput Characterization 50%
• Preprocessing Techniques 50%
• Spectral Preprocessing 50%
• Sustainable Alternatives 50%
• Biofuel Industry 50%
• Climate Change Scenarios 50%
• Partial Least Squares Regression Model 50%
• Standard Normal Variate 50%
• Partial Least Squares Regression 50%
• Rapid Population Growth 50%
• Lignin Content 50%
• Savitzky-Golay 50%
• Model Statistics 50%
• Skilled Personnel 50%
• Bio-based Chemicals 50%
• Fossil Fuel Reserves 50%
• Multiplicative Signal Correction 50%
• Biomass Characterization 50%

Agricultural and Biological Sciences

• Spectroscopy 100%
• Sorghum 100%
• Biofuel 100%
• Least Square 40%
• near-Infrared Spectroscopy 40%
• Climate Change 20%
• Fossil Fuel 20%
• Renewable Energy Source 20%
• Population Growth 20%

Engineering

• Biofuel 100%
• Lignocellulosic Biomass 40%
• Least Square 20%
• Processing Technique 20%
• Larger Quantity 20%
• Square Regression 20%
• Fossil Fuel 20%
• Climate Change Scenario 20%
• Correction Signal 20%
• Partial Least-Squares Regression Model 20%
• Renewable Energy Source 20%
• Renewable Energy 20%