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High-throughput system for carbohydrate analysis of lignocellulosic biomass

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Abstract  

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.

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Acknowledgements

The authors are grateful to M/s PerkinElmer (India) Private Limited for their help with the operations and initial training of the Liquid handling device. The authors are thankful to M/s India Glycols Limited, Uttarakhand, for providing the LBM samples for the research work. The authors are grateful to Institute of Chemical Technology, Mumbai (formerly U.D.C.T., Mumbai) and DBT-ICT Centre for Energy Biosciences for providing the infrastructure for carrying out this research work. The authors thank Mrs. Vibha Raut and Mr. Akshay Kolge for the technical support.

Funding

This research work was funded by Department of Biotechnology, Government of India (Project grant No.: BT/EB/ ICT-Extension/2012, 05/06/2013) and Indo-Australian Grand Challenge (DST/INT/AUS/GCP-5–13 (C) & (G)) at DBT-ICT Centre for Energy Biosciences, Institute of Chemical Technology, Mumbai.

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Authors and Affiliations

  1. DBT-ICT Centre for Energy Biosciences, Institute of Chemical Technology (Formerly UDCT), Nathalal Parikh Marg, Mumbai, 400019, India

    Parmeshwar S. Patil, Custan G. Fernandes, Sneha C. Sawant, Arvind M. Lali & Annamma A. Odaneth

  2. Corporate Research & Development Centre, Bharat Petroleum Corporation Ltd, Plot No. 2A, Udyog Kendra, P O Surajpur, Greater Noida, UP, 201306, India

    Parmeshwar S. Patil

  3. Gencrest LLP Pvt Ltd, Level 7, Gala Impecca, Next to Courtyard Marriott Andheri Kurla Road, Andheri East Mumbai, MH, 400059, India

    Sneha C. Sawant

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  1. Parmeshwar S. Patil
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  2. Custan G. Fernandes
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  3. Sneha C. Sawant
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Contributions

Conceptualization: Parmeshwar S Patil, Arvind M Lali, Annamma A Odaneth; formal analysis and investigation: Parmeshwar S Patil, Custan G Fernandes; writing — original draft preparation: Parmeshwar S Patil; writing — review and editing: Parmeshwar S Patil, Custan G Fernandes, Annamma A Odaneth; funding acquisition: Arvind M Lali, Annamma A Odaneth; resources: Sneha C Sawant; supervision: Annamma A Odaneth.

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Correspondence to Annamma A. Odaneth.

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Patil, P.S., Fernandes, C.G., Sawant, S.C. et al. High-throughput system for carbohydrate analysis of lignocellulosic biomass. Biomass Conv. Bioref. 13, 12889–12901 (2023). https://doi.org/10.1007/s13399-022-02304-8

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  • DOI: https://doi.org/10.1007/s13399-022-02304-8

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