Tag Archive for Joint Bioenergy Institute

New Advance in Biofuel Production

JBEI researchers have developed an enzyme-free ionic liquid pretreatment of cellulosic biomass that makes it easier to recover fermentable sugars for biofuels and to recycle the ionic liquid.

Department of Energy Renews Joint BioEnergy Institute for Another Five Years

The Department of Energy has renewed funding for the Joint BioEnergy Institute (JBEI) for another five years. JBEI is a multi-institutional partnership for advanced biofuels research led by the Lawrence Berkeley National Laboratory (Berkeley Lab).

Swords to Plowshares: Engineering Plants for More Biofuel Sugars

Plants are being engineered with low xylan content and a higher proportion of cellulosic sugars for the production of advanced biofuels.

Biofuels Blend Right In

A collaboration by researchers with the Joint BioEnergy Institute (JBEI) and the Idaho National Laboratory (INL) has shown that blending different feedstocks and milling the mixture into flour or pellets has significant potential for helping to make biofuels a cost-competitive transportation fuel technology.

Boosting Galactan Sugars Could Boost Biofuel Production

JBEI researcher have identified the first enzyme capable of substantially boosting the amount of galactan sugars in plant cell walls. Readily fermented, galactan sugars are a target of interest for researchers in advanced biofuels produced from cellulosic biomass.

A Better Route to Xylan

JBEI researchers have identified a gene in rice plants whose suppression improves both the extraction of xylan and the overall release of the sugars needed to make biofuels.

Training Your Robot the PaR-PaR Way

PaR-PaR, a simple high-level, biology-friendly, robot-programming language developed by researchers at JBEI and Berkeley Lab, uses an object-oriented approach to make it easier to integrate robotic equipment into biological laboratories. Effective robots can increase research productivity, lower costs and provide more reliable and reproducible experimental data.

A Welcome Predictability

Berkeley Lab researchers have developed an "adapator" that makes the genetic engineering of microbial components substantially easier and more predictable.