| A heuristic approach to handling missing data in biologics manufacturing databases |
2019 |
Mante, J., Gangadharan, N., Sewell, D. J., Turner, R., Field, R., Oliver, S. G., . . . Dikicioglu, D. |
Bioprocesses and Biosystems Engineering |
42 (4) |
657-663 |
B3 Biological process analysis, D3 Performance monitoring |
DOI
|
| A Mechanistic and Cautionary Case Study on the Use of Alternating Potential in Electrochemical Reactions |
2020 |
Wills Alfie G., Poole Darren L., Alder Catherine M., Reid Marc |
ChemElectroChem |
7 |
2771-2776 |
B1 Reaction monitoring, D1 Kinetic modelling |
DOI
|
| A Mechanistic and Cautionary Case Study on the Use of Alternating Potential in Electrochemical Reactions |
2020 |
Wills Alfie G., Poole Darren L., Alder Catherine M., Reid Marc |
ChemElectroChem |
7 |
2771-2776 |
B2 Monitoring of drying and powder blending |
DOI
|
| A micro reactor for the study of biotransformations by a cross-linked gamma-lactamase enzyme |
2009 |
Hickey AM, Ngamsom B, Wiles C, Greenway GM, Watts P and Littlechild JA |
|
4(4) |
510-516 |
B3 Biological process analysis, B4 Microreactors and flow chemistry |
DOI
|
| Biofluid analysis and classification using IR and 2D-IR spectroscopy |
2021 |
Rutherford Samantha H., Nordon Alison, Hunt Neil T., Baker Matthew J. |
Chemometrics and Intelligent Laboratory Systems |
217 |
104408 |
B3 Biological process analysis |
DOI
|
| Biomass composition: the “elephant in the room” of metabolic modelling |
2015 |
Dikicioglu Duygu, Kirdar Betul, Oliver Stephen G. |
Metabolomics |
11 |
1690-1701 |
B3 Biological process analysis, D2 Multi-block, predictive and multi-scale modelling methods |
DOI
|
| CamOptimus: a tool for exploiting complex adaptive evolution to optimize experiments and processes in biotechnology |
2017 |
Cankorur-Cetinkaya Ayca, Dias Joao M. L., Kludas Jana, Slater Nigel K. H., Rousu Juho, Oliver Stephen G., Dikicioglu Duygu |
Microbiology |
163 |
829-839 |
B3 Biological process analysis, D3 Performance monitoring |
DOI
|
| CLUSTERnGO: a user-defined modelling platform for two-stage clustering of time-series data |
2016 |
Fidaner Isik Baris, Cankorur-Cetinkaya Ayca, Dikicioglu Duygu, Kirdar Betul, Cemgil Ali Taylan, Oliver Stephen G. |
Bioinformatics |
32 |
388-397 |
C1 Multivariate data analysis, B3 Biological process analysis |
DOI
|
| Combined shifted-excitation Raman difference spectroscopy and support vector regression for monitoring the algal production of complex polysaccarides |
2013 |
Noack K, Eskofier B, Kiefer J, Dilk C, Bilow G, Schirmer M, Buchholz R, Leipertz A |
Analyst |
138 |
5639-5646 |
B3 Biological process analysis |
DOI
|
| Combining model structure identification and hybrid modelling for photo-production process predictive simulation and optimisation |
2020 |
Zhang Dongda, Savage Thomas R., Cho Bovinille A. |
Biotechnology and Bioengineering |
117 |
3356-3367 |
B3 Biological process analysis |
DOI
|
| Comparison of physics-based and data-driven modelling techniques for dynamic optimisation of fed-batch bioprocesses |
2019 |
Del Rio-Chanona Ehecatl Antonio, Ahmed Nur Rashid, Wagner Jonathan, Lu Yinghua, Zhang Dongda, Jing Keju |
Biotechnology and Bioengineering |
116 |
2971-2982 |
B3 Biological process analysis |
DOI
|
| Computer Vision for Kinetic Analysis of Lab- and Process-Scale Mixing Phenomena |
2022 |
Barrington Henry, Dickinson Alan, McGuire Jake, Yan Chunhui, Reid Marc |
Organic Process Research & Development |
26 |
3073-3088 |
B2 Monitoring of drying and powder blending |
DOI
|
| Computer vision for non-contact monitoring of catalyst degradation and product formation kinetics |
2023 |
Yan Chunhui, Cowie Megan, Howcutt Calum, Wheelhouse Katherine M. P., Hodnett Neil S., Kollie Martin, Gildea Martin, Goodfellow Martin H., Reid Marc |
Chemical Science |
14 |
5323-5331 |
B2 Monitoring of drying and powder blending |
DOI
|
| Consideration of some sampling problems in the on-line analysis of batch processes by low-field NMR spectrometry |
2008 |
Nordon A, Diez-Lazaro A, Wong CWL, McGill CA, Littlejohn D, Weerasinghe M, Mamman DA, Hitchman ML and Wilkie J |
Analyst |
133 |
339-347 |
B1 Reaction monitoring, A6. Low field NMR spectrometry |
DOI
|
| Considerations for the selection and design of sampling systems for heterogeneous processes in a stirred tank reactor |
2005 |
Diez-Lazaro A, Hitchman M L and Littlejohn D |
Chemical Engineering Research and Design |
83 |
344-351 |
B1 Reaction monitoring |
DOI
|
| Continuous flow organic synthesis, a tool for the modern medicinal chemistry |
2009 |
Wiles C and Watts P |
Fut. Med. Chem. |
|
1593-1612 |
B4 Microreactors and flow chemistry |
DOI
|
| Determination of Aniline in Hydrofluoric Acid solutions by NIR Spectrometry with a Fibre-optic Interface |
1998 |
McDonald J, McIntyre A, Hitchman M L, Littlejohn D |
Applied Spectroscopy |
52 |
908-911 |
B1 Reaction monitoring |
DOI
|
| Development of a gas-phase Raman instrument using a hollow core anti-resonant tubular fibre |
2021 |
Brooks William S.M., Partridge Matthew, Davidson Ian A.K., Warren Charles, Rushton George, Large Joseph, Wharton Michael, Storey Jonathan, Wheeler Natalie V., Foster Michael J. |
Journal of Raman Spectroscopy |
52 |
1772-1782 |
B2 Monitoring of drying and powder blending, B3 Biological process analysis, B4 Microreactors and flow chemistry, B1 Reaction monitoring, A1. Non-invasive Raman spectrometry, A5. ATR-MIR spectrometry |
DOI
|
| Development of a high throughput screening tool for biotransformations utilising a thermophilic L-aminoacylase enzyme |
2010 |
Ngamsom B, Hickey AM, Greenway GM, Littlechild JA, Watts P and Wiles C |
J. Mol. Catal. B Enzym. |
63 |
81-86 |
B3 Biological process analysis, B4 Microreactors and flow chemistry |
DOI
|
| Development of a spatially offset Raman spectroscopy probe for monitoring pharmaceutical drying |
2023 |
Al-Attili Mais, Ferreira Carla, Price Chris, Faulds Karen, Chen Yi-Chieh |
Chemical Engineering Research and Design |
192 |
510-520 |
B2 Monitoring of drying and powder blending, A1. Non-invasive Raman spectrometry, C1 Multivariate data analysis |
DOI
|
| Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes |
2018 |
Bradford Eric, Schweidtmann Artur M., Zhang Dongda, Jing Keju, del Rio-Chanona Ehecatl Antonio |
Computers & Chemical Engineering |
118 |
143-158 |
B3 Biological process analysis |
DOI
|
| Dynamic modelling of the killing mechanism of action by virus-infected yeasts |
2019 |
Sheppard Sean, Dikicioglu Duygu |
Journal of The Royal Society Interface |
16 |
20190064 |
B3 Biological process analysis, D1 Kinetic modelling |
DOI
|
| Dynamic Proteomic Profiling of Extra-Embryonic Endoderm Differentiation in Mouse Embryonic Stem Cells |
2015 |
Mulvey Claire M., Schröter Christian, Gatto Laurent, Dikicioglu Duygu, Fidaner Isik Baris, Christoforou Andy, Deery Michael J., Cho Lily T. Y., Niakan Kathy K., Martinez-Arias Alfonso, Lilley Kathryn S. |
STEM CELLS |
33 |
2712-2725 |
C1 Multivariate data analysis, B3 Biological process analysis |
DOI
|
| Effects of particle size and cohesive properties on mixing studied by non-contact NIR |
2008 |
Bellamy LJ, Nordon A and Littlejohn D |
Int. J. Pharm |
361 |
87-91 |
A2 Particle size effects in Raman and NIR, B2 Monitoring of drying and powder blending |
DOI
|
| Enhanced Chemical Synthesis in Flow Reactors |
2009 |
Wiles C and Watts P |
Chemica Oggi |
27(3) |
34-36 |
B4 Microreactors and flow chemistry |
|
| Extension of the yeast metabolic model to include iron metabolism and its use to estimate global levels of iron-recruiting enzyme abundance from cofactor requirements |
2019 |
Dikicioglu Duygu, Oliver Stephen G. |
Biotechnology and Bioengineering |
116 |
610-621 |
D2 Multi-block, predictive and multi-scale modelling methods, B3 Biological process analysis |
DOI
|
| Extracellular acidity and oxygen availability conjointly control eukaryotic cell growth via modulation of cytoplasmic translation. |
2019 |
Dikicioglu, D |
Turkish Journal of Biochemistry |
|
|
B3 Biological process analysis, C1 Multivariate data analysis |
DOI
|
| Factors affecting broadband acoustic emission measurements of a heterogeneous reaction |
2006 |
Nordon A, Carella Y, Gachagan A, Littlejohn D and Hayward G |
Analyst |
131 |
323-330 |
B1 Reaction monitoring, A7. Ultrasonics and acoustic emission spectrometry |
DOI
|
| Fermentation process tracking through enhanced spectral calibration modeling |
2007 |
Triadaphillou S, Martin E, Montague G, Nordon A, Jeffkins P and Stimpson S |
Biotechnol. Bioeng. |
97 |
554-567 |
B3 Biological process analysis, C2 Calibration transfer/model maintenance |
DOI
|
| Flux Balance Analysis of a Genome-Scale Yeast Model Constrained by Exometabolomic Data Allows Metabolic System Identification of Genetically Different Strains |
2007 |
Cakir T., Efe C., Dikicioglu D., Hortacsu A., Kirdar B., Oliver S.G. |
Biotechnology Progress |
23 |
320-326 |
D2 Multi-block, predictive and multi-scale modelling methods, B3 Biological process analysis |
DOI
|
| Formal model of Parkinson’s disease neurons unveils possible causality links in the pathophysiology of the disease |
2020 |
Nadal Morgane, Schierle Gabriele S. Kaminski, Dikicioglu Duygu |
|
|
|
D1 Kinetic modelling, B3 Biological process analysis |
DOI
|
| Handling variability and incompleteness of biological data by flexible nets: a case study for Wilson disease |
2018 |
Júlvez Jorge, Dikicioglu Duygu, Oliver Stephen G. |
npj Systems Biology and Applications |
4 |
|
B3 Biological process analysis, D1 Kinetic modelling |
DOI
|
| How yeast re-programmes its transcriptional profile in response to different nutrient impulses |
2011 |
Dikicioglu Duygu, Karabekmez Erkan, Rash Bharat, Pir Pinar, Kirdar Betul, Oliver Stephen G |
BMC Systems Biology |
5 |
148 |
C1 Multivariate data analysis, B3 Biological process analysis |
DOI
|
| Hybrid physics-based and data-driven modeling for bioprocess online simulation and optimization |
2019 |
Zhang Dongda, Del Rio-Chanona Ehecatl Antonio, Petsagkourakis Panagiotis, Wagner Jonathan |
Biotechnology and Bioengineering |
116 |
2919-2930 |
B3 Biological process analysis |
DOI
|
| Improved method for kinetic studies in microreactors using flow manipulation and non-invasive Raman spectrometry |
2011 |
Mozharov S, Nordon A, Littlejohn D, Wiles C, Watts P, Dallin P and Girkin JM |
Journal of the American Chemical Society |
133 |
3601-3608 |
A1. Non-invasive Raman spectrometry, B1 Reaction monitoring, B4 Microreactors and flow chemistry, D1 Kinetic modelling |
DOI
|
| Improving the accuracy of flux balance analysis through the implementation of carbon availability constraints for intracellular reactions |
2019 |
Lularevic M, Racher AJ, Jaques C, Kiparissides A |
Biotechnology and BioEngineering |
116 |
2339-2352 |
B3 Biological process analysis |
DOI
|
| In situ monitoring of powder blending by non-invasive Raman spectrometry with wide area illumination |
2013 |
Allan P, Bellamy L, Nordon A, Littlejohn D, Andrews J and Dallin P |
Journal of Pharmaceutical and Biomedical Analysis |
76 |
28 - 35 |
A1. Non-invasive Raman spectrometry, B2 Monitoring of drying and powder blending |
DOI
|
| In situ monitoring of the seed stage of a fermentation process using non-invasive NIR spectrometry |
2008 |
Nordon A, Littlejohn D, Dann AS, Jeffkins PA, Richardson MD and Stimpson SL |
Analyst |
5 |
660-666 |
B3 Biological process analysis |
DOI
|
| In-line monitoring of esterification using a miniaturised mid-infrared spectrometer |
2003 |
McGill C A, Ferguson R H, Donoghue K, Nordon A and Littlejohn D |
Analyst |
128 |
1467-1470 |
B1 Reaction monitoring, A5. ATR-MIR spectrometry |
DOI
|
| Integration of Metabolic Modeling and Phenotypic Data in Evaluation and Improvement of Ethanol Production Using Respiration-Deficient Mutants of Saccharomyces cerevisiae |
2008 |
Dikicioglu Duygu, Pir Pinar, Onsan Z. Ilsen, Ulgen Kutlu O., Kirdar Betul, Oliver Stephen G. |
Applied and Environmental Microbiology |
74 |
5809-5816 |
C1 Multivariate data analysis, B3 Biological process analysis |
DOI
|
| Integration of Metabolic Modeling and Phenotypic Data in Evaluation and Improvement of Ethanol Production Using Respiration-Deficient Mutants of Saccharomyces cerevisiae |
2008 |
Dikicioglu Duygu, Pir Pinar, Onsan Z. Ilsen, Ulgen Kutlu O., Kirdar Betul, Oliver Stephen G. |
Applied and Environmental Microbiology |
74 |
5809-5816 |
D2 Multi-block, predictive and multi-scale modelling methods, B3 Biological process analysis |
DOI
|
| Investigating the feasibility of mid infrared spectroscopy for monitoring an industrial de-racemization biotransformation process |
2012 |
Gardner P, Arnold SA, Brown F, Carr R, Nordon A, Harvey LM and McNeil B. |
Analytica Chimica Acta, |
779 |
50-55 |
B3 Biological process analysis, A5. ATR-MIR spectrometry |
DOI
|
| Investigation of factors affecting isolation of needle-shaped particles in a vacuum agitated filter drier through non-invasive measurements by Raman spectometry |
2013 |
Hamilton P, Littlejohn D, Nordon A, Sefcik J, Slavin P, J Andrews and Dallin P |
Chemical Engineering Science |
101 |
878-885 |
A1. Non-invasive Raman spectrometry, B2 Monitoring of drying and powder blending |
DOI
|
| Kinetic and hybrid modeling for yeast astaxanthin production under uncertainty |
2021 |
Vega-Ramon Fernando, Zhu Xianfeng, Savage Thomas R., Petsagkourakis Panagiotis, Jing Keju, Zhang Dongda |
Biotechnology and Bioengineering |
118 |
4854-4866 |
B1 Reaction monitoring, D1 Kinetic modelling |
DOI
|
| Machine learning and metabolic modelling assisted implementation of a novel process analytical technology in cell and gene therapy manufacturing |
2023 |
Williams Thomas, Kalinka Kevin, Sanches Rui, Blanchard-Emmerson Greg, Watts Samuel, Davies Lee, Knevelman Carol, McCloskey Laura, Jones Peter, Mitrophanous Kyriacos, Miskin James, Dikicioglu Duygu |
Scientific Reports |
13 |
|
B2 Monitoring of drying and powder blending, D2 Multi-block, predictive and multi-scale modelling methods |
DOI
|
| Metabolic modeling to identify engineering targets forKomagataella phaffii: The effect of biomass composition on gene target identification |
2017 |
Cankorur-Cetinkaya Ayca, Dikicioglu Duygu, Oliver Stephen G. |
Biotechnology and Bioengineering |
114 |
2605-2615 |
D2 Multi-block, predictive and multi-scale modelling methods, B3 Biological process analysis |
DOI
|
| Metabolic response to Parkinson's disease recapitulated by the haploinsufficient diploid yeast cells hemizygous for the adrenodoxin reductase gene |
2019 |
Dikicioglu Duygu, Coxon James W. M. T., Oliver Stephen G. |
Molecular Omics |
15 |
340-347 |
B3 Biological process analysis, C1 Multivariate data analysis |
DOI
|
| Microreactors as tools for high-throughput synthesis |
2009 |
Wiles C and Watts P |
Speciality Chem. Magazine |
|
40-41 |
B4 Microreactors and flow chemistry |
|
| Monitoring of a heterogeneous reaction by acoustic emission |
2004 |
Nordon A, Waddell R J H, Bellamy L J, Gachagan A, McNab D, Littlejohn D and Hayward G |
Analyst |
129 |
463-467 |
B1 Reaction monitoring, A7. Ultrasonics and acoustic emission spectrometry |
DOI
|
| Monitoring of an esterification reaction by on-line direct liquid sampling mass spectrometry and in-line mid infrared spectrometry with an attenuated total reflectance probe |
2014 |
Owen A W, McAulay E A J, Nordon A, Littlejohn D, Lynch T P, Lancaster S J, Wright R G |
Analytica Chimica Acta, |
14.08.2014 |
|
B1 Reaction monitoring, A5. ATR-MIR spectrometry, A8. Process mass spectrometry |
DOI
|
| Multi-scale Multiblock Batch Monitoring:Sensor and Process Drift and Degradation |
2015 |
Alawi A, Zhang J and Morris J, |
Org. Process Res. Dev. |
19 (1) |
145-157 |
B1 Reaction monitoring, D2 Multi-block, predictive and multi-scale modelling methods |
DOI
|
| Multivariate kinetic hard-modelling of spectroscopic data: A comparison of the esterification of butanol by acetic anhydride on different scales and with different instruments |
2008 |
Puxty, Neuhold Y-M, Ehly M, Gemperline PJ, Nordon A, Littlejohn D, Basford JK, De Cecco M and Hunderbuhler K |
Chem. Eng. Sci., |
63 (19) |
4800-4809 |
B1 Reaction monitoring, D1 Kinetic modelling |
DOI
|
| Non-invasive analysis in micro-reactors using Raman spectrometry with a specially designed probe |
2010 |
Mozharov S, Nordon A, Girkin JM and Littlejohn D |
Lab on a Chip |
10 |
2101-2107 |
A1. Non-invasive Raman spectrometry, B1 Reaction monitoring, B4 Microreactors and flow chemistry |
DOI
|
| Non-invasive monitoring of the growth of metal-organic frameworks (MOFs) <i>via</i> Raman spectroscopy |
2023 |
Chong Magdalene, Parrott Andrew John, Ashworth David, Fletcher Ashleigh J., Nordon Alison |
Physical Chemistry Chemical Physics |
|
|
B1 Reaction monitoring, A1. Non-invasive Raman spectrometry |
DOI
|
| Non-invasive monitoring of the mixing of pharmaceutical powders by broadband acoustic emission |
2010 |
Allan P, Ballamy LJ, Nordon A and Littlejohn D |
Analyst |
135 |
518-524 |
B2 Monitoring of drying and powder blending, A7. Ultrasonics and acoustic emission spectrometry |
DOI
|
| Real-time monitoring of powder mixing in a convective blender using non-invasive reflectance NIR spectrometry |
2008 |
Bellamy LJ, Nordon A and Littlejohn D |
Analyst |
133 |
58-64 |
A2 Particle size effects in Raman and NIR, B2 Monitoring of drying and powder blending |
DOI
|
| Saccharomyces cerevisiae adapted to grow in the presence of low-dose rapamycin exhibit altered amino acid metabolism |
2018 |
Dikicioglu Duygu, Dereli Eke Elif, Eraslan Serpil, Oliver Stephen G., Kirdar Betul |
Cell Communication and Signaling |
16 |
|
C1 Multivariate data analysis, B3 Biological process analysis |
DOI
|
| Scale-up of batch kinetic models |
2007 |
Ehly M, Gemperline PJ, Nordon A, Littlejohn D, Basford JK and De Cecco M |
Anal Chim Acta |
595 |
80-88 |
B1 Reaction monitoring, D1 Kinetic modelling |
Download
DOI
|
| Sensing change in batch reactors |
2008 |
Ashe R, Littlejohn D, Nordon A and Allan P |
Chem Eng |
115 |
56-59 |
B1 Reaction monitoring |
|
| Short- and long-term dynamic responses of the metabolic network and gene expression in yeast to a transient change in the nutrient environment |
2012 |
Dikicioglu Duygu, Dunn Warwick B., Kell Douglas B., Kirdar Betul, Oliver Stephen G. |
Molecular BioSystems |
8 |
1760 |
C1 Multivariate data analysis, B3 Biological process analysis |
DOI
|
| Studies of particle drying using non-invasive Raman spectrometry and particle size analysis |
2011 |
Hamilton P, Littlejohn D, Nordon A, Sefcik J, Slavin P, Dallin P and Andrews J |
Analyst |
136 |
2168-2174 |
A1. Non-invasive Raman spectrometry, B2 Monitoring of drying and powder blending |
DOI
|
| Teaching old presumptive tests new digital tricks with computer vision for forensic applications |
2023 |
Bugeja Nathalie, Oliver Cameron, McGrath Nicole, McGuire Jake, Yan Chunhui, Carlysle-Davies Felicity, Reid Marc |
Digital Discovery |
2 |
1143-1151 |
B2 Monitoring of drying and powder blending |
DOI
|
| The development and evaluation of a continuous flow process for the lipase mediated oxidation of alkenes |
2009 |
Wiles C, Hammond MJ and Watts P |
Beilstein J. Org. Chem. |
5(27) |
1-12 |
B4 Microreactors and flow chemistry |
DOI
|
| The use of immobilised crown ethers as in situ N-protecting groups in organic synthesis and their application under continuous flow |
2009 |
Wild GP, Wiles C, Watts P and Haswell SJ |
Tetrahedron |
65 |
1618-1629 |
B4 Microreactors and flow chemistry |
DOI
|
| Towards better understanding of an industrial cell factory investigating the feasibility of real-time metabolic flux analysis in Pichia pastoris |
2013 |
Fazenda M, Dias J, Harvey L, Nordon A, Edrada-Ebel R, Littlejohn D and NcNeil B |
Microbial Cell Factories |
12:51 |
|
B3 Biological process analysis |
DOI
|
| Trialkylammonium salt degradation: implications for methylation and cross-coupling |
2021 |
Washington Jack B., Assante Michele, Yan Chunhui, McKinney David, Juba Vanessa, Leach Andrew G., Baillie Sharon E., Reid Marc |
Chemical Science |
12 |
6949-6963 |
B1 Reaction monitoring, D1 Kinetic modelling |
DOI
|
| Validity of particle size analysis techniques for measurement of the attrition that occurs during vacuum agitated powder drying of needle-shaped particles |
2012 |
Hamilton P, Littlejohn D, Nordon A, Sefcik J and Slavin P |
Analyst |
137 |
118 - 125 |
B2 Monitoring of drying and powder blending |
DOI
|
| Yeast cells with impaired drug resistance accumulate glycerol and glucose |
2014 |
Dikicioglu, D., Oc, S., Rash, B. M., Dunn, W. B., Pir, P., Kell, D. B., . . . Oliver, S. G |
Molecular Biosytems |
10 (1) |
93-102 |
C1 Multivariate data analysis, B3 Biological process analysis |
DOI
|