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Department of Chemical Engineering and Biotechnology


Group leader: Professor Alexei Lapkin, FRSC FIChemE


Group members: Dr Danilo Russo, Mr Kobi Felton, Ms Sabine Hallamasek, Ms Jana Weber, Mr Chonghuan Zhang, Ms Liwei Cao, Mr Daniel Wigh, Mr Zhimian Hao, Ms Shambhawi, Ms Adesina Peace, Mr Alexander Pomberger, Mr Ahmad Khan, Ms Clarisse Beurrier, Ms Devi Sietaram, Mr Aniket Chitre 

Our Singapore-based team:

Dr Nicholas Jose (C4T), Dr Alexandr Khudorozhkov (eCO2EP), Dr Zhen Guo (C4T), Dr Simon Sung (PIPS), Dr Mohammed Jeraal (PIPS), Dr Magda Barecka (eCO2EP/PIPS), Mr Perman Jorayev, Mr Adarsh Arun (PIPS)  

Group's news

Congratulations to our PhD student Jana Weber for being one of the winners of the prize Top 50 Women in Engineering (Sustainability) 2020!

We welcome Devi and Aniket, who joined the group in October for their PhD projects. Adarsh has joined our Singapore team as a researcher and will move to Cambridge in January.

Research Topics and Projects

A sustainable society will use manufacturing processes that do not deplete resources and do not harm the environment. In order to understand implications of a given technology (or a manufacturing process) on resources and on the environment we need to place it within the context of a wider system. Thus, if we are considering a single reaction step, we need to understand also the complete process, including any separation requirements and sources/destinations of feedstocks and products/byproducts. If we are considering whether a given chemical product is better sourced from a renewable biofeedstock, or from a petrochemical source, then we need to understand the supply chain and life cycle environmental implications of such a substitution. 

Sustainable Reaction Engineering group is developing new reactor concepts based on intensive reaction conditions that can be used in the manufacture of molecules, developing formulations or functional nano materials. We are working on methods of modelling chemical processes, starting from molecular modelling methods and extending to multi-objective process optimisation and life cycle assessment. We have pioneered methods of machine learning for automated process optimisation, and are exploring methods of Big Data in application to chemical reaction networks. We are working with many industry sectors, from inorganic materials and formulations, to platform chemicals and pharmaceuticals, and have an international network of collaborations, including an Erasmus exchange programme with RWTH Aachen (Prof. Alexander Mitsos).

Current research areas within the group:

Bio-feedstocks for chemicals manufacture

In the light of growing sustainability concerns the possibility of deriving many of the end-use molecules from biomass is receiving increasing attention. One of the key challenges encountered here is the choice of starting materials, of target molecules and of processing routes, making treatment very expensive computationally and highly uncertain from the point of view of business and technology development.

Our group is developing tools of data-mining, automatic evaluation of process routes and global multi-objective optimisation using non-gradient methods to assemble optimal reaction pathways. We are developing process models for multi-step reaction sequences and optimising these processes at flowsheet level. We are exploring environmental impacts from the proposed processes using life cycle assessment. 

Another aspect of bio-based feedstocks is the utilisation of waste, either from large scale processes, such as bio-diesel production and agriculture, but also from food processing. In collaboration with our partners within C4T project in Singapore, we are working on a number of new catalytic processes for utilisation of such waste products.

Digital Molecular Technology

(a) Process development in speciality, polymer and pharmaceutical chemistry

We are involved in several projects on translation of batch processes to continuous and on process development methods. Our current focus is on automation of data generation, automation of models assembly, phenomena-based process models, use of machine learning methods for design of experiments, model-based design of experiments. Our active projects are supported by several companies in polymer and pharmaceutical industries and by EPSRC. We are collaborating with a number of colleagues involved in the Dial-a-Molecule grand challenges network on the topic of 'predictive scalability'. Key collaborations are with Prof. David Woods (statistics) at University of Southampton and Prof. Leroy Cronin (chemistry) at Glasgow University.

Our main internal collaboration in chemistry are with the groups of Prof. Matthew Gaunt and Jonathan Goodman (Chemistry @ Cambridge) on continuous flow reactors, with Dr Lucy Colwell on machine learning for chemical reactions development and with Prof. Pietro Lio on AI methods.

(b) Process intensification

Process intensification is one of most important technical approaches to reduction of energy and resource intensity of chemical manufacturing. We are working on developing new reactor concepts for controlled assembly of functional nano-structured materials and for synthesis of organic molecules. We are also developing new hybrid processes, combining multiple functionalities within a single unit operation, when this brings a synergistic performance enhancement. In these projects we combine our expertise in process modelling, machine learning and process development.

(c) Automated chemical synthesis

SynTech is a new Centre for Doctoral Training, which will link disciplines of Chemistry, Chemical Engineering, Chemoinformatics, DataScience, Machine Learning and Artificial Intelligence. It brings together an interdisciplinary academic team and is supported by a large number of companies, ranging from local SMEs to global multi-nationals. We are recruiting PhD students into the second cohort of SynTech (link). Applicants for the CDT are encouraged first to contact Prof. Lapkin to discuss their interest in the CDT and the appropriate application route (via CEB or via the CDT directly).


iDMT is a new project co-funded by the University of Cambridge, AstraZeneca, Shionogi and European Regional Development Fund (ERDF). The Innovation centre in Digital Molecular Technologies will work with SMEs in the UK to facilitate the development of new products for digital transformation of molecular science and manufacturing. 


Singapore-based projects

Our group is involved in the C4T project of CARES ( The work package IRP1 of the C4T project is concerned with developing catalytic technologies for de-carbonisation of chemical industries. Specifically we are concerned with replacing conventional feedstocks with C1 and bio-waste feedstocks. Our active projects are on conversion of carbon dioxide, conversion of bio-waste into chemicals and methods of synthesis of catalytic support materials.

Our group is involved in the project eCO2EP between the University of Cambridge and Berkeley University' entities in Singapore, in collaboration with NUS and NTU. The project will develop a demonstrator mini plant integrating scaled-up electrochemical conversion of carbon dioxide to ethylene with product separation.

Nick Jose was awarded a SMART grant to demonstrate novel technology for manufacture of functional nano-materials. This is a collaboration between CARES Ltd and SIMTech A*STAR.

Our latest project is funded by PIPS and is supported by MSD, Pfizer and GSK. In this project we are looking at methods of optimisation/development of multi-step processes in pharma.

Publications from Sustainable Reaction Engineering group


M.I. Jeraal, S. Sung, A.A. Lapkin, A Machine Learning-Enabled Autonomous Flow Chemistry Platform for Process Optimization of Multiple Reaction Metrics. Chemistry–Methods, 1 (2020) 1-8. doi: 10.1002/cmtd.2020000444

C. Zhang;  Y. Amar; L. Cao; A. A. Lapkin, Solvent Selection for Mitsunobu Reaction Driven by an Active Learning Surrogate Model. Org. Process Res. Dev. 2020. DOI: 10.1021/acs.oprd.0c00376

A.A. Lapkin, Rational design of continuous flow processes for synthesis of functional molecules, in “Sustainable Nanoscale Engineering”, Eds., G. Szekely, A.G. Livingstone, Elsevier, Amsterdam, 2020. pp. 415-433. doi: 10.1016/B978-0-12-814681-1.00016-3

N.A. Jose, H.C. Zeng, A.A. Lapkin, Scalable and Precise Synthesis of Two-Dimensional Metal Organic Framework Nanosheets in a High Shear Annular Microreactor, Chem. Eng. J., 388 (2020) 124133; doi: 10.1016/j.cej.2020.124133

R.I. Slavchov, M. Salamanca, D. Russo, I. Salama, S. Mosbach, S.M. Clarke, M. Kraft, A.A Lapkin, S.V. Filip, The role of NO2 and NO in the mechanism of hydrocarbon degradation leading to carbonaceous deposits in engines, Fuel 267 (2020) 117218. doi: 10.1016/j.fuel.2020.117218

P. Neumann, L. Cao, D. Russo, V.S. Vassiliadis, A.A. Lapkin, A new formulation for symbolic regression to identify physico-chemical laws from experimental data, Chem. Eng. J., 387 (2020) 123412;

L. Cao, M. Kabeshov, S.V. Ley, A.A. Lapkin, In silico rationalisation of selectivity and reactivity in Pd-catalysed C-H activation reactions, Beilstein J. Org. Chem., 16 (2020) 1465-1475. DOI: 10.3762/bjoc.16.122.

A. Khan, A.A. Lapkin, Searching for optimal process routes: a reinforcement learning approach. Comp. Chem. Eng. 141 (2020) 107027. DOI: 10.1016/j.compchemeng.2020.107027.

O. Mohan, Shambhawi, A.A. Lapkin, S.H. Mushrif, Investigating methane dry reforming on Ni and B promoted Ni surfaces: DFT assisted microkinetic analysis and addressing the coking problem, Catal. Sci. Technol., 10 (2020) 6628-6643. DOI: 10.1039/D0CY00939C

L. Cao, D. Russo, W. Mauer, H.H. Gao, A.A. Lapkin, Machine learning-aided process design for formulated products, in Proceedings of 30th European Symposium on Computer Aided Process Engineering, Computer Aided Chemical Engineering, 48 (2020) 1789-1794, doi: 10.1016/B978-0-12-823377-1.50299-8.

J.M. Weber, A.M. Schweidtmann, E. Nolasco, A.A. Lapkin, Modelling circular structures in reaction networks: Petri nets and reaction network flux analysis, in Proceedings of 30th European Symposium on Computer Aided Process Engineering, Computer Aided Chemical Engineering, 48 (2020) 1843-1848, doi: 10.1016/B978-0-12-823377-1.50308-6.


A.D. Clayton, A.M. Schweidtmann, G. Clemens, J.A. Manson, C.J. Taylor, G.C. Nino, T.W. Chamberlain, N. Kapur, A.J. Blacker, A.A. Lapkin, R.A. Bourne, Automated self-optimisation of multi-step reaction and separation processes using machine learning, Chem. Eng. J., (2019).

Z. Guo, N. Yan, A.A. Lapkin, Towards circular economy: integration of bio-waste into chemical supply chain, Curr. Opinion Chem. Engngn. 26 (2019) 148-156.

J.M. Weber, P. Lio, A. Lapkin, Identification of strategic molecules for future circular supply chains using large reaction networks, React. Chem. Eng., (2019), DOI: 10.1039/c9re00213h

X. Kan, X. Chen, Y. Shen, A.A. Lapkin, M. Kraft, C.-H. Wang, Box-Behnken design based CO2 co-gasification of horticultural waste and sewage sludge with addition of ash from waste as catalyst, Appl. Energy, 242 (2019) 1549-1561; doi: 10.1016/j.apenergy.2019.03.176.

S. Chemat, S. Boudjelal, I. Malki, A. Lapkin, Biosynthesis of spathulenol and camphor stand as a competitive route to artemisinin production as revealed by a new chemometric convergence approach based on nine locations’ field-grown Artemesia annua L., Ind. Crop. Prod., 137 (2019) 521-527. DOI: 10.1016/j.indcrop.2019.05.056.

Y. Amar, A.M. Schweidtmann, P. Deutsch, L. Cao, A. Lapkin, Machine learning and molecular descriptors enable rational solvent selection in asymmetric catalysis, Chem. Sci., 10 (2019) 6697-6706, DOI: 10.1039/c9sc01844a.

P. Yaseneva, N. An, M. Finn, N. Tidemann, N. Jose, A. Voutchkova-Kostal, A. Lapkin, Continuous synthesis of doped layered double hydroxides in a meso-scale flow reactor, Chem. Eng. J., 360 (2019) 190-199. doi: 10.1016/j.cej.2018.11.197

J.J. Varghese, L. Cao, C. Robertson, Y. Yang, L.F. Gladden, A.A. Lapkin, S.H. Mushrif, Synergistic Contribution of the Acidic Metal Oxide-Metal Couple and Solvent Environment in the Selective Hydrogenolysis of Glycerol: a Combined Experimental and Computational Study Using ReOx-Ir as the Catalyst, ACS Catal., 9 (2019) 485-503. doi: 10.1021/acscatal.8b03079

W. Gerlinger, J.M. Asua, T. Chaloupka, J.M.M. Faust, F. Gjertsen, S. Hamzehlou, S.O. Hauger, E. Jahns, P.J. Joy, J. Kosek, A. Lapkin, J.R. Leiza, A. Mhamdi, A. Mitsos, O. Naeem, N. Rajabalinia, P. Singstad, J. Suberu, Dynamic optimisation and non-linear model predictive control to achieve target particle morphologies, Chem. Ing. Tech., 91 (2019) 3-14, doi: 10.1002/cite.201800118.

N. Jose, A. Lapkin, Influence of hydrodynamics on wet syntheses of nanomaterials, in “Advanced Nanomaterials for Catalysis and Energy”, Ed. V.A. Sadykov, Elsevier, Amsterdam, 2019. pp. 29-60.

X. Li, Y. Shen, L. Wei, C. He, A.A. Lapkin, W. Lipinski, Y. Dai, C.-H. Wang, Hydrogen production of solar-driven steam gasification of sewage sludge in an indirectly irradiative fluidized-bed reactor, Appl. Energy 261 (2019) 114229. 


J.W. Ager, A.A. Lapkin, Chemical storage of renewable energy, Science 360 (2018) 707-708. DOI: 10.1126/science.aat7918.

Y. Yan, Y. Dai, Y. Yang, A.A. Lapkin, Improved stability of Y2O3 supported Ni catalysts for CO2 methanation by precursor-determined metal-support interaction, Appl. Catal. B: Env., 237 (2018) 504-512, DOI: 10.1016/j.apcatb.2018.06.021.

D.I. Potemkin, D.K. Maslov, K. Loponov, P.V. Snytnikov, Y.V. Shubin, P.E. Plyusnin, D.A. Svintsitskiy, V.A. Sobyanin, A.A. Lapkin, A. A., Porous Nanocrystalline Silicon Supported Bimetallic Pd-Au Catalysts: Preparation, Characterization, and Direct Hydrogen Peroxide Synthesis. Frontiers in Chemistry 6 (2018) 85. DOI: 10.3389/fchem.2018.00085.

P.-M. Jacob, A. Lapkin, Statistics of the network of organic chemistry, React. Chem. Eng., 3 (2018) 102118. DOI: 10.1039/c7re00129k.

R. Milkus, C. Ness, V.V. Palyulin, J. Weber, A. Lapkin, A. Zaccone, Interpretation of the Vibrational Spectra of Glassy Polymers Using Coarse-Grained Simulations. Macromolecules 51 (2018) 1559-1572. DOI: 10.1021/acs.macromol.7b02352.

E. Bradford, A.M. Schweidtmann, A. Lapkin, Efficient multiobjective optimization employing Gaussian processes, spectral sampling and a genetic algorithm, J. Global Optim., 71 (2018). 407-438. DOI: 10.1007/s10898-018-0609-2.

D. Kralisch, D. Ott, A.A. Lapkin, P. Yaseneva, W. De Soete, M. Jones, N. Minkov, M. Finkbeiner, The need for innovation management and decision guidance in sustainable process design, J. Cleaner Prod., 172 (2018) 2374-2388. DOI: 10.1016/j.jclepro.2017.11.173

S.M. Aworinde, A.M. Schweidtmann, A.A. Lapkin, The concept of selectivity control by simultaneous attenuation of feed concentration and temperature in a microstructured reactor, Chem. Eng. J. 331 (2018) 765-776. DOI: 10.1016/j.cej.2017.09.03

S.M. Aworinde, K. Wang, A.A. Lapkin, Borate-assisted liquid-phase oxidation of n-pentane, Appl. Catal. A: Gen., 563 (2018) 28-42. DOI: 10.1016/j.apcata.2018.06.023

A.M. Schweidtmann, A.D. Clayton, N. Holmes, E. Bradford, R.A. Bourne, A.A. Lapkin, Machine learning meets continuous flow chemistry: Automated optimization towards the Pareto front of multiple objectives, Chem. Eng. J. 352 (2018) 277-282. DOI: 10.1016/j.cej.2018.07.031

I. Peñafiel, A. Martínez-Lombardia, C. Godard, C. Claver, A. Lapkin, Recyclable supported Pd-NHC catalytic systems for the copper-free Sonogashira cross-coupling in flow, Sust. Chem. Pharmacy 9 (2018) 69-75 DOI: 10.1016/j.scp.2018.06.003

A. Lapkin, Chemical engineering science and green chemistry - the challenge of sustainability, in “Green Chemical Engineering”, v.12 Handbook of Green Chemistry, Series ed. P. Anastas, Volume ed. A. Lapkin, Wiley-VCH, 2018. pp. 1-18.

C.S. Horbaczewskyj, C.E. Willans, A.A. Lapkin, R.A. Bourne, An introduction to closed-loop process optimization and online analysis”, in “Green Chemical Engineering”, v.12 Handbook of Green Chemistry, Series ed. P. Anastas, Volume ed. A. Lapkin, Wiley-VCH, 2018. pp. 329-374.

N. Jose, H.C. Zeng, A.A. Lapkin, Hydrodynamic assembly of two-dimensional layered double hydroxide nanostructures, Nature Commun., 9 (2018) 4913. DOI: 10.1038/s41467-018-07395-4

Y. Shen, C. He, X. Chen, A.A. Lapkin, W. Xiao, C.-H. Wang, Nitrogen removal and energy recovery from sewage sludge by combined hydrothermal pretreatment and CO2 gasification, ACS Sust. Chem. Eng., 6 (2018) 16629-16636. doi: 10.1021/acssuschemeng.8b03857


D. Russo, I.D. Somma, R. Marotta, G. Tomaiuolo, R. Andreozzi, S. Guido, A.A. Lapkin, Intensification of Nitrobenzaldehydes Synthesis from Benzyl Alcohol in a Microreactor, Org. Process Res. Dev., 21 (2017) 357-364. DOI: 10.1021/acs.oprd.6b00426

D. Helmdach, P. Yaseneva, P.K. Heer, A. Schweidtmann, A. Lapkin, A multi-objective optimisation including results of life cycle assessment in developing bio-renewable-based processes, ChemSusChem 10 (2017) 3632-3643. DOI: 10.1002/cssc.201700927.

A. Echtermeyer, Y. Amar, J. Zakrzewski, A. Lapkin, Self-optimisation and model-based design of experiments for developing a C–H activation flow process, Beilstein J. Org. Chem., 13 (2017) 150–163. DOI: 10.3762/bjoc.13.18

P.-M. Jacob, P. Yamin, C. Perez-Storey, M. Hopgood, and A.A. Lapkin, Towards automation of chemical process route selection based on data mining, Green Chem., 19 (2017) 140-152. doi: 10.1039/C6GC02482C.

P.-M. Jacob, T. Lan, J.M. Goodman, A.A. Lapkin, A possible extension to the RInChI as a means of providing machine readable process data, J. Chemoinformatics. 9:23 (2017). doi: 10.1186/s13321-017-0210-6.

A.A. Lapkin, P.K. Heer, P.-M. Jacob, M. Hutchby, W. Cunningham, S.D. Bull, M.G. Davidson. Automation of route identification and optimisation based on datamining and chemical intuition, Faraday Discussions 202 (2017) 483-496. DOI: 10.1039/C7FD00073A.

D.D. Plaza, V. Strobel, P.K.K.S. Heer, A.B. Sellars, S.-S. Hoong, A.J. Clark, A.A. Lapkin, Direct valorisation of waste cocoa butter triglycerides via catalytic epoxidation, ring-opening and polymerisation, J. Chem. Technol. Biotechnol. 92 (2017) 2254-2266. DOI: 10.1002/jctb.5292

I. Penafiel, A. Lapkin, Flow systems for NHC catalysis, in “Science of synthesis reference library: N-heterocyclic carbenes in organic synthesis”, Eds., S.P. Nolan, C.S.J. Cazin, Georg Thieme Verlag KG, Stuttgart, New York, 2017, pp 369-394.

A. Lapkin, K. Loponov, G. Tomaiuolo, S. Guido, Solids in continuous flow reactors for specialty and pharmaceutical syntheses, in “Sustainable Flow Chemistry - Methods and Applications”, Ed. L. Vaccaro, Wiley, 2017.

A. Lapkin, P. Yaseneva, Life Cycle Assessment of Flow Chemistry Processes, in “Sustainable Flow Chemistry - Methods and Applications”, Ed. L. Vaccaro, Wiley, 2017.


X. Fan,  V. Sans,  S.K. Sharma,  P.K. Plucinski,  V.A. Zaikovskii,  K. Wilson, S. R. Tennison,  A. Kozynchenko,  A.A. Lapkin, Pd/C catalysts based on synthetic carbons with bi- and tri-modal pore-size distribution: applications in flow chemistry, Catal. Sci. Technol., 6 (2016) 2387-2395. DOI: 10.1039/c5cy01401h

J. Zakrzhewski, A.P. Smalley, M. Kabeshov, A. Lapkin, M. Gaunt, Continuous flow synthesis and derivatization of aziridines via palladium-catalyzed C(sp3)-H activation, Angew. Chem. Int. Ed., 55 (2016) 8878-8883. DOI: 10.1002/anie.201602483

X. Fan, F. Xing, X. Ou, G.A. Turley, P. Denissenko, M.A. Williams, N. Batail, C. Pham, A.A. Lapkin, Microtomography-based numerical simulations of heat transfer and fluid flow through β-SiC open-cell foams for catalysis, Catal. Today (2016)

P. Yaseneva, P. Hodgson, J. Zakrzewski, S. Falss, R.E. Meadows, A.A. Lapkin, Continuous flow Buchwald-Hartwig amination of a pharmaceutical intermediate, React. Chem. Eng., 1 (2016) 229-238. DOI: 10.1039/c5re00048c.

S. Falß, G. Tomaiuolo, A. Perazzo, P. Yaseneva, J. Zakrzewski, S. Guido, A. Lapkin, R. Woodward, R.E. Meadows, A Continuous Process for Buchwald-Hartwig Amination at Micro- Lab- and Multi-Kilo Scale, Org. Proc. Res. Des. 20(2) (2016) 558-567. DOI: 10.1021/acs.oprd.5b00350

J. Suberu, P. Yamin, R. Cornell, A. Sam, A. Lapkin, Feasibility of using 2,3,3,3-tetrafluoropropene (R1234yf) as a solvent for solid-liquid extraction of biopharmaceuticals, ACS Sustainable Chem. Eng. 4 (2016) 2559-2568. DOI: 10.1021/acssuschemeng.5b01721.

J. Suberu, P.S. Gromski, A. Nordon, A. Lapkin, Multivariate data analysis and metabolic profiling of artemisinin and related compounds in high yielding varieties of Artemisia annua field-grown in Madagascar, J. Pharmaceutical and Biomed. Analysis, 117 (2016) 522-531. doi:10.1016/j.jpba.2015.10.003

A. Lapkin, P.-M. Jacob, P. Yaseneva, C. Gordon, A. Peace, Assessment of sustainability within holistic process design, in “Sustainability Assessment of Renewables-Based Products: Methods and Case Studies“, Eds. J. Dewulf, S.D. Meester, R. Alvarenga., Wiley. 2016


C. Houben, G. Nurumbetov, D. Haddleton, A.A. Lapkin, Feasibility of simultaneous determination of monomer concentrations and particle size in emulsion polymerization using in situ Raman spectroscopy, Ind. Eng. Chem. Res. 54 (2015) 12867-12876. DOI:

C. Houben, A. Lapkin, Automatic discovery and optimisation of chemical processes, Curr. Opinion in Chem. Engng., 9 (2015) 1-7.

C. Houben, N. Peremezhney, A. Zubov, J. Kosek, A.A. Lapkin, Closed-loop multi-target optimisation for discovery of new emulsion polymerisation recipes, Org. Process Res. Dev., 19 (2015) 1049-1053. DOI: 10.1021/acs.oprd.5b00210

C. Schotten, D. Plaza, S. Manzini, S.P. Nolan, S.V. Ley, D.L. Browne, A. Lapkin, Continuous Flow Metathesis for Direct Valorization of Food Waste: An Example of Cocoa Butter Triglyceride, ACS Sust. Chem. Eng., 3 (2015) 1453-1459. DOI: 10.1021/acssuschemeng.5b00397

P. Yaseneva, D. Plaza, X. Fan, K. Loponov, A. Lapkin, Synthesis of the antimalarial API artemether in a flow reactor, Catal. Today, 239 (2015) 90-96.

L. Torrente-Marciano, D. Nielsen, R. Jackstell, M. Beller, K. Cavell, A. Lapkin, Selective telomerisation of isoprene with methanol by a heterogeneous palladium resin catalyst. Catal. Sci. Technol., 5 (2015) 1206-1212. DOI: 10.1039/c4cy01320d.

A. Martinez-Lombardia, J. Krinsky, I. Peñafiel, S. Castillón, K. Loponov, A. Lapkin, C. Godard, C. Claver, Heterogenization of Pd-NHC complexes onto a silica support and their application in the Suzuki-Miyaura coupling under batch and continuous flow conditions, Cat. Sci. Technol., 5 (2015) 310-319. DOI: 10.1039/c4cy00829d

A. Lapkin, Green Extraction of Artemisinin from Artemisia annua  L, In “Green Extraction of Natural Products: Theory and Practice”, Eds. F. Chemat, J. Strube, Wiley-VCH, 2015.


N. Peremezhney, E. Hines, A. Lapkin, C. Connaughton, Combining Gaussian processes, mutual information and a generic algorithm for multi-targeted optimisation of expensive-to-evaluate functions, Engineering Optimisation, 46 (2014) 1593-1607.

X. Fan, J. Restivo, J.J. Órfão, M.F.R. Pereira, A. Lapkin, The role of multi walled carbon nanotubes (MWCNTs) in catalytic ozonation of atrazine, Chemical Engineering Journal, 241 (2014) 66-76.

J.O. Suberu, P. Yamin, K. Leonhard, L. Song, S. Chemat, N. Sullivan, G. Barker, A. Lapkin, The effect of O-methylated flavonoids and other co-metabolites on the crystallisation and purification of artemisinin, J. Biotechnol., 171 (2014) 25-33.

A. Lapkin, E. Adou, B.N. Mlambo, S. Chemat, J. Suberu, A.E.C. Collis, A. Clark, G. Barker, Integrating medicinal plants extraction into a high-value biorefinery: an example of Artemisia annua L. Comptes Rendus - Chimie, 17 (2014) 232-241.

V. Sans, S. Glatzel, F.J. Douglas, D.A. Maclaren, A. Lapkin, L. Cronin, Non-equilibrium dynamic control of gold nanoparticle and hyperbranched nanogold assemblies, Chemical Science, 5 (2014) 1153-1157.

P. Yaseneva, C.F. Marti, E. Palomares, X. Fan, T. Morgan, P.S. Perez, M. Ronning, F. Huang, T. Yuranova, L. Kiwi-Minsker, S. Derrouiche, A.A. Lapkin, Efficient reduction of bromates using carbon nanofibre supported catalysts: experimental and a comparative life cycle assessment study, Chemical Engineering Journal, 248 (2014) 230-241. 

L. Torrente-Murciano, D.J. Nielsen, K.J. Cavell, A.A. Lapkin, Tandem isomerization/telomerization of long chain dienes, Frontiers in Chemistry, 2 (2014) Article 37, 1-5, DOI: 10.3389/fchem.2014.00037.

N. Peremezhney, P.-M. Jacob, A. Lapkin, Alternative methods of processing bio-feedstocks in formulated consumer products design, Frontiers in Chemistry, 2 (2014) Article 26, 1-6, DOI: 10.3389/fchem.2014.00026.

J.O. Suberu, I, Romero-Canelón, N. Sullivan, A.A. Lapkin, G.C. Barker, Comparative cytotoxicity of artemisinin and cisplatin and their interactions with chlorogenic acids in MCF7 breast cancer cells, ChemMedChem, 9 (2014) 2791-2798.

K.N. Loponov, J. Lopes, M. Barlog, E.V. Astrova, A.V. Malkov, A.A. Lapkin, Optimization of a Scalable Photochemical Reactor for Reactions with Singlet Oxygen, Org.Proc.Res.Dev., 18 (2014) 1443-1454.


J.O. Suberu, A.P. Gorka, L. Jacobs, P.D. Roepe, N. Sullivan, G.C. Barker, A.A. Lapkin, Anti-Plasmodial Polyvalent Interactions in Artemisia annua L. Aqueous Extract – Possible Synergistic and Resistance Mechanisms, PLOS One 8:11 (2013) e80790.

J. Suberu, L. Song, S. Slade, N. Sullivan, G. Barker, A. Lapkin, A rapid method for the determination of artemisinin and its biosynthetic precursors in Artemisia annua L. crude extracts, J. Pharmaceutical and Biomedical Analysis, 84 (2013) 269-277.

D. Haddleton, J. Burns, C. Houben, C. Waldron, A. Anastasaki and A. Lapkin, Poly(acrylates) via SET-LRP in a continuous flow reactor, Polymer Chemistry 4 (2013) 4809-4813, DOI: 10.1039/C3PY00833A

Earlier papers are affiliated with: University of Warwick, University of Bath, and Boreskov Institute of Catalysis.