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The Abraham solvation parameter approach developed at UCL has become integral to the work carried out by drug discovery teams at [text removed for publication] and other major pharmaceutical companies, as well as research and development groups at international chemical companies including Syngenta and [text removed for publication]. It enables chemists to predict physicochemical and biochemical properties of chemicals, including drugs and agrochemicals, rapidly and efficiently, without the need to conduct time-consuming experiments. The method helps drug discovery teams to identify and optimise the most promising compounds, and often results in fewer compounds being made before a candidate is selected, saving time and resources. The approach has been integrated into software used for drug discovery [text removed for publication].
In partnership with the US company Nalco, the University's Surfactant & Colloid Group developed a new multifunctional technology (Clean n Cor) for the oil industry that both removes accumulated deposits at a metal surface (enabling "break-through" of corrosion inhibitor to the metal surface) and inhibits corrosion. Clean n Cor technology not only protects assets such as oil pipelines against corrosion but also maximises oil production through enhancing water injectivity (water flow per unit pressure drop). Since its launch in 2007, it is currently one of Nalco's fastest growing new technologies and is used at over 100 production locations worldwide.
Research in materials modelling by the Computational Science and Engineering Group (CSEG) is helping aerospace, defence and transport companies design advanced materials and new manufacturing processes. From lightweight components like aeroengine turbine blades to the control of magnetic fields to stabilise the next generation of International Space Station levitation experiments, CSEG is supporting innovations which have:
In the assessment period, CSEG collaborated closely with leading industries in steel-making (ArcelorMittal, Corus), primary aluminium (Dubal, Rusal, Norsk-Hydro, SAMI) and lightweight structural materials for transport and aerospace (European Space Agency, Rolls-Royce).
Novel vapour sorption experimental methods for the characterisation of complex particulate materials have been developed in the Department of Chemical Engineering. This research and expertise resulted in the creation of Surface Measurement Systems Limited (SMS), whose Dynamic Vapour Sorption (DVS) and Inverse Gas Chromatography (IGC) instruments are now found in >500 laboratories around the world. They are recognised standard research and development tools in the global pharmaceutical industry (DIN 66138). SMS has contributed >270 man-years of employment and generated £27M of turnover, whilst SMS instruments have generated over £300M of economic value, over the REF period.
The SAFT-VR family of thermodynamic models has made it possible to predict reliably the behaviour of the many complex and challenging fluids that are found across a range of industrial sectors, including oil & gas, chemicals (refrigerants, surfactants, polymers), energy (carbon capture solvents, carbon dioxide-rich streams) and pharmaceuticals.
The SAFT-VR models have had a wide impact on industrial practice. At BP, they have been used to design novel surfactants that have increased the lifetime of oil fields up to five-fold, avoiding maintenance interventions costing millions of dollars and increasing productivity by 50% (worth $2-3 million per year per well). At Borealis, they have been used to understand how to increase the productivity of the reactor in the flagship Borstar process by 30%. At ICI and Ineos/Mexichem, they have been used to design efficient processes for producing replacement refrigerants with much reduced reliance on extreme and expensive experiments involving hydrogen fluoride, a highly corrosive substance. Industrial demand for access to the predictive capabilities of SAFT-VR has been such that Imperial College has licensed the software in 2013 to a UK SME in order to distribute it worldwide to users.
Research into electrochemical biosensors conducted at the University of Cambridge between 1998 and 2002 led to the development of the WaveSense™ line of diabetes products by start-up, AgaMatrix. By 2012 AgaMatrix had sold 3M glucose meters & 3B biosensor test strips worldwide across 20,000+ retail locations including Boots UK, and since 2010 also globally in partnership with Sanofi. [text removed for publication] AgaMatrix UK continues to grow its business with compound annual growth rates for revenue in excess of 100%. Agamatrix UK now supplies over one million glucose test strips per month to the NHS. Agamatrix has developed >10 FDA-cleared products since 2008, including the first FDA approved smartphone linked diagnostic device.
Mineral separation by froth flotation is the largest tonnage separation process in the world, and is used to recover the very small fraction (<0.5%) of valuable mineral from the mined ore. Typically, 5-15% of the valuable minerals are not recovered due to sub-optimal process settings, most important of which is the air rate. A methodology to determine the optimal air rate range to use, Peak Air Recovery (PAR), was developed by the Froth and Foam Research Group at Imperial College London.
Anglo American Platinum produces 40% of the world's platinum. They use the PAR methodology on all their flotation plants to establish to air rate control limits, tightening the operating range and improving the separation performance. Rio Tinto annually produce 300 000 tons of copper and 500 000 oz gold from their Kennecott Copper mine. They have implemented PAR as a control strategy, and statistical comparative tests have shown an increase in copper and gold recovery from this mine alone of the order of 1%, with a nominal value of approximately $30m per annum.
Impact: EaStCHEM spin out Albachem (1994), subsequently incorporated into the Almac group, enabling the latter company to become a world leader in the provision of chemically synthesised proteins.
Significance: Chemical synthesis is competitive with recombinant methods for commercial production of the therapeutic polypeptides that represent ~50% of drugs in big pharma pipelines and have a market value in 2008 of over $13B. The value attributable to Ramage's methods for polypeptide syntheses over the REF period is estimated at approximately £6M.
Beneficiaries: Drug manufacturers, contract research organisations, patients, clinicians.
Research: Studies (1993-6) led by Ramage (at the University of Edinburgh) on new methods for high-yield total syntheses and purification of long polypeptides.
Reach: Almac's protein-manufacturing team remains in the UK with 24 staff members. The Almac Group, headquartered in N. Ireland, has 3300 employees globally (1300 outside UK) and sells to 600 companies worldwide.
Our research on semiconductor materials and devices has led to the establishment by e2v Technologies of a combined manufacturing, research and development facility within the School of Physics and Astronomy. We have adapted and transferred device simulation software to e2v, and have provided epitaxially-grown semiconductors and access to fabrication facilities which have been used in their manufacturing processes. Devices fabricated within the facility, which was opened in 2011, have generated sales of £7M for e2v. This initiative has also led to shifts in the investment priorities of e2v, and mitigated risks to the company arising from import restrictions associated with the US International Traffic in Arms Regulations (ITAR).
A new procedure for the measurement and characterisation of polycrystalline exchange bias systems has been developed which has impacted significantly the manufacture of computer hard drive read-heads by companies such as Seagate Inc and Western Digital Corp. The new measurement procedure has enabled a typical 40% increase in the thermal stability of the antiferromagnetic materials used in computer hard drive read heads. The procedure has also improved the manufacturing process of the read-heads giving increased material performance and has resulted in a ~25% improvement in the resolution of detecting a bit.