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

Md Wadud Ahmed, Carlos Esquerre, Vijay Singh, Andrew D.B. Leakey, Mohammed Kamruzzaman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Rapid population growth, continuous climate change scenarios, and diminishing fossil fuel reserves make it crucial to identify sustainable alternative energy sources. Lignocellulosic biomass represents the largest quantity of biomass on earth and is an attractive source for sustainable and environmentally friendly biofuels and other bio-based chemicals. However, fast and accurate biomass characterization is essential for the biofuel industry. The conventional chemical analysis of biomass is expensive, tedious, and requires skilled personnel. This study assessed the suitability of near-infrared spectroscopy (NIRS) for high-throughput characterization of sorghum biomass composition such as moisture, ash, and acid-insoluble lignin (AIL) for biofuel production. Spectral data were acquired in the 867-2535 nm range, and their corresponding biomass compositions were determined following the laboratory analytical procedures developed by National Renewable Energy Laboratory. Standard normal variate (SNV), multiplicative signal correction (MSC), and Savitzky-Golay (SG) spectral pre-processing techniques were employed before developing prediction models using the partial least square regression (PLSR). The PLSR model performance was evaluated by an independent validation set. The developed predictive models with full spectra show acceptable model statistics for the selected components. Some dominant informative spectral wavelengths were used to develop more effective prediction models. This study revealed that it is possible to develop a low-cost, portable, and real-time NIRS technique to predict the moisture, ash, and AIL content of lignocellulosic biomass for biofuel production.

Original languageEnglish (US)
Title of host publication2023 ASABE Annual International Meeting
PublisherAmerican Society of Agricultural and Biological Engineers
ISBN (Electronic)9781713885887
DOIs
StatePublished - 2023
Event2023 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2023 - Omaha, United States
Duration: Jul 9 2023Jul 12 2023

Publication series

Name2023 ASABE Annual International Meeting

Conference

Conference2023 American Society of Agricultural and Biological Engineers Annual International Meeting, ASABE 2023
Country/TerritoryUnited States
CityOmaha
Period7/9/237/12/23

Keywords

  • Composition analysis
  • informative wavelengths
  • NIR-spectroscopy
  • PLSR
  • sorghum biomass

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Bioengineering

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