High-throughput system for carbohydrate analysis of lignocellulosic biomass

   In India, the agricultural sector generates substantial amounts of lignocellulosic wastes representing an enormous source of renewable feedstock for biorefineries. The strategy toward such a bioeconomy will only be successful if enough biomass and desired qualities can be provided to produce bio-...

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Bibliographic Details
Published in:Biomass conversion and biorefinery 2023-09, Vol.13 (14), p.12889-12901
Main Authors: Patil, Parmeshwar S., Fernandes, Custan G., Sawant, Sneha C., Lali, Arvind M., Odaneth, Annamma A.
Format: Article
Language:English
Subjects:
Agricultural wastes
Biodiesel fuels
Biofuels
Biomass
Biotechnology
Carbohydrates
Composition
Energy
Ethanol
Lignocellulose
Original Article
Public policy
Raw materials
Renewable and Green Energy
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Summary:   In India, the agricultural sector generates substantial amounts of lignocellulosic wastes representing an enormous source of renewable feedstock for biorefineries. The strategy toward such a bioeconomy will only be successful if enough biomass and desired qualities can be provided to produce bio-based products. It is, therefore, crucial to have a reliable estimate of the biofuel potential in such lignocellulosic resources. The estimates help define technologies suitable for conversions and also lay the basis for government policies to support different initiatives. Currently, the conventional approach is time-consuming, laborious, and requires resources that make the method unreliable for a large number of sample screening and technology mapping. Herein, we present an optimized feedstock compositional analysis method akin to the conventional approach. The introduction of an automated liquid handling platform for processing multiple samples at lower volumes and reduced hydrolysis times allows faster analysis thereby having high-throughput system (HTS) for biomass compositional analysis. The results demonstrate the validity of the optimized method for analyzing biomass composition at 100 samples/day, minimal analysis times, and low sample requirements (10 mg) in the HTS studies. The estimated carbohydrate composition can be used for the prediction of the theoretical ethanol yield (TEY). Furthermore, the HTS protocol can help screen a large number of samples paving the way to map agri-waste feedstocks based on crop variants, climatic changes, storage conditions, precipitation, and biotic and abiotic stresses for their effects on biofuel potential.
ISSN:2190-6815
2190-6823
DOI:10.1007/s13399-022-02304-8