scispace - formally typeset
B

Ben Dolman

Researcher at University of Manchester

Publications -  8
Citations -  362

Ben Dolman is an academic researcher from University of Manchester. The author has contributed to research in topics: Sophorolipid & Biomass (ecology). The author has an hindex of 4, co-authored 7 publications receiving 224 citations.

Papers
More filters
Journal ArticleDOI

Sophorolipid biosurfactants: Possible uses as antibacterial and antibiofilm agent

TL;DR: The results indicated that sophorolipids may be promising compounds for use in biomedical application as adjuvants to other antimicrobial against some pathogens through inhibition of growth and/or biofilm disruption.
Journal ArticleDOI

Biological treatment of wastewater containing a mixture of polycyclic aromatic hydrocarbons using the oleaginous bacterium Rhodococcus opacus

TL;DR: In this paper, the authors investigated the simultaneous biodegradation of polycyclic aromatic hydrocarbons (PAHs) along with lipid accumulation by Rhodococcus opacus in a ternary substrate system.
Journal ArticleDOI

Integrated sophorolipid production and gravity separation

TL;DR: Benefits of the separation system could lead to a substantial decrease in the cost of sophorolipid production, making high volume applications such as enhanced oil recovery economically feasible.
Journal ArticleDOI

Integrated production and separation of biosurfactants

TL;DR: In this article, the use of integrated separation technologies, primarily gravity, membrane and foam fractionation separations, in integrated biosurfactant producing fermentations, to tackle the difficulties of high production costs are discussed and an analysis of the scalability of the available technologies and the expected impact on process economics is presented.
Journal ArticleDOI

Real-time bioprocess monitoring using a mid-infrared fibre-optic sensor

TL;DR: It was demonstrated for the first time that varying concentrations of sophorolipids in a fermentation broth could successfully be monitored over time using an in-situ MIR fibre-optic sensor, providing significant opportunities for bioprocess control.