Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Cellulose and Pectic Polysaccharides

Cellulose and Pectic Polysaccharides

Every plant cell has a cell wall that protects the cell, provides structural support, and gives the cell shape. Cellulose, the main structural component of the plant cell wall, makes up over 30% of plant matter. It is the most abundant organic compound on earth. Cellulose is an unbranched polysaccharide composed of linear chains of glucose molecules linked by β (1→4) glycosidic bonds.
As a cell matures, its cell wall specializes according to its type. For example, the...

Role of Microtubules in Cell Wall Deposition

Role of Microtubules in Cell Wall Deposition

Microtubules are small hollow tubes in eukaryotic cells. The cell wall microtubules are polymerized dimers of two globular proteins, α-tubulin and β-tubulin, two globular proteins. With a diameter of about 25 nm, microtubules are the widest components of the cytoskeleton. They help the cell resist compression and provide a track along which vesicles move through the cell or pull replicated chromosomes to opposite ends of a dividing cell. Microtubules go through quick cycles of...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Model-Enabled Knowledge Transfer Across Cell Lines, Culture Scales and Conditions.

Biotechnology and bioengineering·2026

Same author

Targeted Therapies in Neuroblastoma: A History and a View to the Future.

Cancers·2026

Same author

Host cell protein impurities in therapeutic proteins: overview of advances in detection, nonconventional removal technologies and immunogenicity assessment.

Journal of biological engineering·2026

Same author

Nicotinamide Reverses the Warburg Effect in CHO Cell Culture.

Biotechnology and bioengineering·2026

Same author

Targeted therapies in pediatric oncology: A start.

Molecular therapy. Oncology·2026

Same author

A community reconstruction of Chinese hamster metabolism and structural systems biology elucidate metabolic rewiring in lactate-free CHO cells.

Cell systems·2026

Same journal

Enhancing CRISPR Homology Directed Repair in IAL-PiD2 Insect Cells via Reagent Delivery Optimization and Cell Synchronization.

Biochemical engineering journal·2026

Same journal

A high throughput assay to detect enzymatic polyethylene oxidation.

Biochemical engineering journal·2025

Same journal

An Elastin-like Polymer Targeting Vascular Endothelial Growth Factor Receptor-1 Reduces Survival in Serum-Starved Endothelial Cells.

Biochemical engineering journal·2025

Same journal

Soft surfaces induce neural differentiation via the neuron restrictive silencer factor.

Biochemical engineering journal·2025

Same journal

The Role of Endoplasmic Reticulum Stress on Reducing Recombinant Protein Production in Mammalian Cells.

Biochemical engineering journal·2024

Same journal

Evaluation of the efficiency of various methods to load fluoroquinolones into <i>Escherichia coli</i> outer membrane vesicles as a novel antibiotic delivery platform.

Biochemical engineering journal·2024

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 26, 2026

Towards Biomimicking Wood: Fabricated Free-standing Films of Nanocellulose, Lignin, and a Synthetic Polycation

Towards Biomimicking Wood: Fabricated Free-standing Films of Nanocellulose, Lignin, and a Synthetic Polycation

Published on: June 17, 2014

Modelling of amorphous cellulose depolymerisation by cellulases, parametric studies and optimisation.

Hongxing Niu¹, Nilay Shah¹, Cleo Kontoravdi¹

¹Centre for Process Systems Engineering, Department of Chemical Engineering, Imperial College London, South Kensington Campus, London SW7 2AZ, England, UK.

Biochemical Engineering Journal

|February 12, 2016

Summary

This summary is machine-generated.

This study models cellulose hydrolysis using cellulases to optimize biorefineries. It identifies key parameters for accurate predictions and improved enzyme cocktail design.

Keywords:

Cellulase Cellulose Kinetic parameters Modelling Optimisation Uncertainty

More Related Videos

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization

Published on: October 24, 2011

Ammonia Fiber Expansion AFEX Pretreatment of Lignocellulosic Biomass

Ammonia Fiber Expansion AFEX Pretreatment of Lignocellulosic Biomass

Published on: April 18, 2020

Related Experiment Videos

Last Updated: Mar 26, 2026

Towards Biomimicking Wood: Fabricated Free-standing Films of Nanocellulose, Lignin, and a Synthetic Polycation

Towards Biomimicking Wood: Fabricated Free-standing Films of Nanocellulose, Lignin, and a Synthetic Polycation

Published on: June 17, 2014

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization

GENPLAT: an Automated Platform for Biomass Enzyme Discovery and Cocktail Optimization

Published on: October 24, 2011

Ammonia Fiber Expansion AFEX Pretreatment of Lignocellulosic Biomass

Ammonia Fiber Expansion AFEX Pretreatment of Lignocellulosic Biomass

Published on: April 18, 2020

Area of Science:

Biotechnology
Biochemical Engineering
Renewable Energy

Background:

Optimizing enzymatic cellulose hydrolysis is crucial for cellulosic biorefineries.
Understanding the complex interactions of cellulases (endoglucanase, exoglucanase, β-glucosidase) on amorphous cellulose is key.

Purpose of the Study:

To develop a detailed mechanistic model for dynamic cellulase adsorption/desorption and chain-end scission.
To establish a framework for uncertainty analysis and parameter identification.
To optimize cellulase cocktail composition for efficient hydrolysis and fermentation.

Main Methods:

Developed a mechanistic model for cellulase action on cellulose.
Implemented a quasi-Monte Carlo method and global sensitivity analysis for parameter identification.
Validated model predictions against experimental data and performed model-based optimization.

Main Results:

Identified a subset of 13 crucial parameters from an initial 27, resolving over-parameterization issues.
Improved confidence intervals for key parameters using experimental data.
Achieved optimal cellulase cocktail composition for enzymatic hydrolysis and simultaneous saccharification and fermentation.

Conclusions:

The developed model accurately predicts cellulose hydrolysis dynamics and sugar production.
The uncertainty analysis framework enhances model identifiability and refines parameter estimation.
Model-based optimization provides a pathway to enhance cellulosic biorefinery efficiency.