A novel method for real-time estimation of insoluble solids and glucose concentrations during enzymatic hydrolysis of biomass. (March 2019)

• Record Type: Journal Article
• Authors: Kadhum, Haider Jawad; Mahapatra, Durga Madhab; Murthy, Ganti S.
• Is Part Of: Bioresource technology. Volume 275(2019)
• Page Start: 328
• Page End: 337
• Publication Date: 2019-03
• Subjects: Model for high solids -- Torque -- Rotational speed -- Viscosities -- Glucose -- Enzymatic hydrolysis of lignocellulose; Biomass -- Periodicals; Biomass energy -- Periodicals; Bioremediation -- Periodicals; Agricultural wastes -- Periodicals; Factory and trade waste -- Periodicals; Organic wastes -- Periodicals; Bioénergie -- Périodiques; Déchets agricoles -- Périodiques; Déchets industriels -- Périodiques; Déchets organiques -- Périodiques; Déchets (Combustible) -- Périodiques; 662.88
• DOI: 10.1016/j.biortech.2018.12.071
• Languages: English
• ISSNs: 0960-8524

Abstract

Graphical abstract: Highlights: A novel approach for real-time estimation of insoluble solids content and glucose. Cost effective model development using mixing torque for hydrolysis monitoring. 90% reduction in mixing torque during the first 12 h. Rotational speeds of 50–100 rpm for 45% solids are recommended. Fed-batch ratio of 44:22:17:17% yielded higher glucose conversions. Abstract: The study describes a novel method using instantaneous mixing torque and rotational speed to estimate insoluble solids and glucose concentrations during enzymatic hydrolysis of biomass. This method is cost-effective for real-time monitoring and control of enzymatic hydrolysis and potentially scalable. The model was developed using biomass slurries at three solids loading (20, 30 and 45%) at various rotational speeds from 50 to 400 rpm. The results showed a significant drop in mixing torque at 12 h with high solids loading. Maximum glucose concentration (205 g/l) during hydrolysis was achieved at 45% solids loading. Insoluble solids and glucose concentration as a function of torque and rotational speeds were modeled using a modified Herschell-Bulkley model. The model describes the experimental observations with high fidelity (R 2 = 0.84) and can be used for real time monitoring of many multiphase reaction systems as enzymatic hydrolysis of lignocellulosic biomass and dry grind corn ethanol processes.